Demonstrate_architectures.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import necessary libraries: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('2.3.1', '2.4.3')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import keras as K \n",
    "tf.__version__, K.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load processing func\n",
    "import source.toolkit as tk\n",
    "import source.dojo_tools as dj \n",
    "\n",
    "from source.toolkit import list_channels\n",
    "from source.toolkit import list_channels_df\n",
    "\n",
    "# load main class object for monitoring blood cells\n",
    "from source.SickleML_Monitor import CountAdheredBloodCells \n",
    "\n",
    "# Loading tools for extracting gdrive data \n",
    "import source.load_data_tools as loading_tools\n",
    "\n",
    "import os\n",
    "import time\n",
    "import pandas as pd\n",
    "\n",
    "import sys\n",
    "import gdown "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download pretrained weights from gdrive: \n",
    "\n",
    "Important to note, if you haven't downloaded the pretrained weights (e.g Resnet50 and encoder-decoder model) in your working directory, you must run the below code. If you have already ran the main.ipynb notebook, you might already have the networks downloaded.\n",
    "\n",
    "Don't worry if it takes several minutes to load because there is several network weights to download. In addition, by default the remaining pretrained models found in the supplementary material is suppressed with quotations. You are also more then welcome the depress the comment quotations and download those weights onto your working directory. Overall, all of the pretrained weights will be saved in automatic folder called \"./Phase2_Pretrained-models/*\" or \"./Phase1_Pretrained-models/*\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Phase I networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start downloading encoder-decoder Ce-Jaccard net models...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1mtewaKMXqdIVmWj1mXKQfYK9Tr5OCD7J\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_0.h5\n",
      "63.5MB [00:19, 3.27MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1lQHqgcRCDhmAL5BrxSyfYwtejmpt_rXP\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_0.json\n",
      "100%|█████████████████████████████████████████████████████████████████████████████| 31.0k/31.0k [00:00<00:00, 3.78MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1K1cduESQHDozHZYInEE0PmREdvvahiRs\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_1.h5\n",
      "63.5MB [00:19, 3.22MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1rwJ9PKUuZAw9ZON9u6P7KC9H05jIT1nZ\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_1.json\n",
      "100%|██████████████████████████████████████████████████████████████████████████████| 31.0k/31.0k [00:00<00:00, 697kB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1Tn0e3OPhmFjZXLksP2reSTls3CFwoXSv\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_2.h5\n",
      "63.5MB [00:18, 3.45MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1RrhIiRtWYFGJTpq-IRTXYyldaO0fKXFN\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_2.json\n",
      "100%|█████████████████████████████████████████████████████████████████████████████| 31.0k/31.0k [00:00<00:00, 2.17MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1-R1kK7Z89XVSSpraTS2DfT8nFXqek8Ar\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_3.h5\n",
      "63.5MB [00:19, 3.30MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=127f8DRvLuJ33V5_i-TtOZ4-SKrPzsCsT\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_3.json\n",
      "100%|█████████████████████████████████████████████████████████████████████████████| 31.0k/31.0k [00:00<00:00, 1.43MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1EWPauaixDCOHcDdN8LyBYj_CrtgCn6MX\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_4.h5\n",
      "63.5MB [00:18, 3.44MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1N2e2sNJ8agWAiEX9Fw4gjEwk5OcFo_RY\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\ce-jaccard_encoder-decoder-net\\Phase1_Kfold-model_4.json\n",
      "100%|█████████████████████████████████████████████████████████████████████████████| 31.1k/31.1k [00:00<00:00, 2.21MB/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start downloading hr'net Ce-Jaccard net models...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1F1znTDI0MJacZkJmmmteiRmxh2o7yDho\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_0.h5\n",
      "38.9MB [00:10, 3.60MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1VK6PQaxLXvKasoKTmfJxFHFlgMHaiIJz\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_0.json\n",
      "100%|███████████████████████████████████████████████████████████████████████████████| 169k/169k [00:00<00:00, 3.87MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1TJ2or6b_3E7wsLjAjx5fNDDzXR3yLNOQ\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_1.h5\n",
      "38.9MB [00:11, 3.54MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1XHpbpF2RQ_kAyaO1ngA7mjCyk4Hy4ceX\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_1.json\n",
      "100%|███████████████████████████████████████████████████████████████████████████████| 169k/169k [00:00<00:00, 2.81MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=17Z4PUVIVxaiC_SkwthJq9BTWPOEVXF4w\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_2.h5\n",
      "38.9MB [00:11, 3.52MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1L537FbWX5jrHlHd0K8OYDZt0r9q6h6Vj\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_2.json\n",
      "100%|███████████████████████████████████████████████████████████████████████████████| 169k/169k [00:00<00:00, 2.42MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1qTxpeP8xYFKPYHMDaM6fvkxVIFqY7bPe\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_3.h5\n",
      "38.9MB [00:11, 3.53MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1OXfE6Z0WbEe8qN1m5Yf1AyzQVCzRv4uH\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_3.json\n",
      "100%|███████████████████████████████████████████████████████████████████████████████| 169k/169k [00:00<00:00, 2.77MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1XDQtbv9n5a0m8x3SQbyK0ofpjSdnSWVO\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_4.h5\n",
      "38.9MB [00:11, 3.45MB/s]\n",
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1l5PoudTUeJpRnPb1PKWPwgSGONbzSme3\n",
      "To: C:\\Users\\npral\\OneDrive\\Desktop\\BiotheoryGroup\\DeepLearning-SCDBiochip\\Phase1_Pretrained-models\\hrnet_ce-jaccard_hr-net\\Phase1_Kfold-model_4.json\n",
      "100%|███████████████████████████████████████████████████████████████████████████████| 169k/169k [00:00<00:00, 3.74MB/s]\n"
     ]
    }
   ],
   "source": [
    "' Download encoder-decoder weights '\n",
    "\n",
    "os.makedirs(f'./Phase1_Pretrained-models/ce-jaccard_encoder-decoder-net/', exist_ok = True)\n",
    "os.chdir(f'./Phase1_Pretrained-models/ce-jaccard_encoder-decoder-net/') \n",
    "\n",
    "loading_tools.ce_jaccard_gdrive_()\n",
    "    \n",
    "os.chdir(f'../')\n",
    "os.chdir(f'../')\n",
    "\n",
    "\n",
    "' Download hr-net weights: hat tip for niecongchong for creating an excellent repo on HR-net in Keras https://github.com/niecongchong/HRNet-keras-semantic-segmentation'\n",
    "\n",
    "os.makedirs(f'./Phase1_Pretrained-models/hrnet_ce-jaccard_hr-net/', exist_ok = True)\n",
    "os.chdir(f'./Phase1_Pretrained-models/hrnet_ce-jaccard_hr-net/') \n",
    "\n",
    "loading_tools.hrnet_CeJaccard_gdrive_()\n",
    "\n",
    "os.chdir(f'../')\n",
    "os.chdir(f'../')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Present Phase I architectures:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"functional_3\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_2 (InputLayer)            [(None, 128, 128, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_12 (Conv2D)              (None, 128, 128, 64) 1792        input_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_18 (BatchNo (None, 128, 128, 64) 256         conv2d_12[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 128, 128, 64) 0           batch_normalization_18[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_6 (MaxPooling2D)  (None, 64, 64, 64)   0           activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_13 (Conv2D)              (None, 64, 64, 128)  73856       max_pooling2d_6[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_19 (BatchNo (None, 64, 64, 128)  512         conv2d_13[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 64, 64, 128)  0           batch_normalization_19[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_7 (MaxPooling2D)  (None, 32, 32, 128)  0           activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_14 (Conv2D)              (None, 32, 32, 256)  295168      max_pooling2d_7[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_20 (BatchNo (None, 32, 32, 256)  1024        conv2d_14[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_20 (Activation)      (None, 32, 32, 256)  0           batch_normalization_20[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_15 (Conv2D)              (None, 32, 32, 256)  590080      activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_21 (BatchNo (None, 32, 32, 256)  1024        conv2d_15[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_21 (Activation)      (None, 32, 32, 256)  0           batch_normalization_21[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_8 (MaxPooling2D)  (None, 16, 16, 256)  0           activation_21[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_16 (Conv2D)              (None, 16, 16, 512)  1180160     max_pooling2d_8[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_22 (BatchNo (None, 16, 16, 512)  2048        conv2d_16[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_22 (Activation)      (None, 16, 16, 512)  0           batch_normalization_22[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_17 (Conv2D)              (None, 16, 16, 512)  2359808     activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_23 (BatchNo (None, 16, 16, 512)  2048        conv2d_17[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_23 (Activation)      (None, 16, 16, 512)  0           batch_normalization_23[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_9 (MaxPooling2D)  (None, 8, 8, 512)    0           activation_23[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_18 (Conv2D)              (None, 8, 8, 512)    2359808     max_pooling2d_9[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_24 (BatchNo (None, 8, 8, 512)    2048        conv2d_18[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_24 (Activation)      (None, 8, 8, 512)    0           batch_normalization_24[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_19 (Conv2D)              (None, 8, 8, 512)    2359808     activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_25 (BatchNo (None, 8, 8, 512)    2048        conv2d_19[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_25 (Activation)      (None, 8, 8, 512)    0           batch_normalization_25[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_10 (MaxPooling2D) (None, 4, 4, 512)    0           activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_20 (Conv2D)              (None, 4, 4, 512)    2359808     max_pooling2d_10[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_26 (BatchNo (None, 4, 4, 512)    2048        conv2d_20[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_26 (Activation)      (None, 4, 4, 512)    0           batch_normalization_26[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_11 (MaxPooling2D) (None, 2, 2, 512)    0           activation_26[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_21 (Conv2D)              (None, 2, 2, 512)    2359808     max_pooling2d_11[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_27 (BatchNo (None, 2, 2, 512)    2048        conv2d_21[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_27 (Activation)      (None, 2, 2, 512)    0           batch_normalization_27[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_6 (Conv2DTrans (None, 4, 4, 256)    524544      activation_27[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_28 (BatchNo (None, 4, 4, 256)    1024        conv2d_transpose_6[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "activation_28 (Activation)      (None, 4, 4, 256)    0           batch_normalization_28[0][0]     \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "concatenate_5 (Concatenate)     (None, 4, 4, 768)    0           activation_28[0][0]              \n",
      "                                                                 max_pooling2d_10[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_7 (Conv2DTrans (None, 8, 8, 256)    786688      concatenate_5[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_29 (BatchNo (None, 8, 8, 256)    1024        conv2d_transpose_7[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "activation_29 (Activation)      (None, 8, 8, 256)    0           batch_normalization_29[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_6 (Concatenate)     (None, 8, 8, 768)    0           activation_29[0][0]              \n",
      "                                                                 max_pooling2d_9[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_8 (Conv2DTrans (None, 16, 16, 128)  393344      concatenate_6[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_30 (BatchNo (None, 16, 16, 128)  512         conv2d_transpose_8[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "activation_30 (Activation)      (None, 16, 16, 128)  0           batch_normalization_30[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_7 (Concatenate)     (None, 16, 16, 384)  0           activation_30[0][0]              \n",
      "                                                                 max_pooling2d_8[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_9 (Conv2DTrans (None, 32, 32, 64)   98368       concatenate_7[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_31 (BatchNo (None, 32, 32, 64)   256         conv2d_transpose_9[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "activation_31 (Activation)      (None, 32, 32, 64)   0           batch_normalization_31[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_8 (Concatenate)     (None, 32, 32, 192)  0           activation_31[0][0]              \n",
      "                                                                 max_pooling2d_7[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_10 (Conv2DTran (None, 64, 64, 32)   24608       concatenate_8[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_32 (BatchNo (None, 64, 64, 32)   128         conv2d_transpose_10[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_32 (Activation)      (None, 64, 64, 32)   0           batch_normalization_32[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_11 (Conv2DTran (None, 128, 128, 64) 8256        activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_33 (BatchNo (None, 128, 128, 64) 256         conv2d_transpose_11[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "activation_33 (Activation)      (None, 128, 128, 64) 0           batch_normalization_33[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_9 (Concatenate)     (None, 128, 128, 128 0           activation_33[0][0]              \n",
      "                                                                 activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_22 (Conv2D)              (None, 128, 128, 32) 36896       concatenate_9[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_34 (BatchNo (None, 128, 128, 32) 128         conv2d_22[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_34 (Activation)      (None, 128, 128, 32) 0           batch_normalization_34[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_23 (Conv2D)              (None, 128, 128, 3)  867         activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_35 (BatchNo (None, 128, 128, 3)  12          conv2d_23[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_35 (Activation)      (None, 128, 128, 3)  0           batch_normalization_35[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "sRBC_classes (Conv2D)           (None, 128, 128, 3)  84          activation_35[0][0]              \n",
      "==================================================================================================\n",
      "Total params: 15,832,195\n",
      "Trainable params: 15,822,973\n",
      "Non-trainable params: 9,222\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "' Presenting the encoder-decoder model architecture'\n",
    "\n",
    "filenames = os.listdir('./Phase1_Pretrained-models/ce-jaccard_encoder-decoder-net/')\n",
    "filenames = [filenames[ii].replace('.h5','').replace('.json','') for ii in range(len(filenames))]\n",
    "encoder_decoder_ensemble = tk.load_zoo('./Phase1_Pretrained-models/ce-jaccard_encoder-decoder-net/', filenames)\n",
    "encoder_decoder_ensemble[0].summary()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"functional_1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 128, 128, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d (Conv2D)                 (None, 64, 64, 64)   1728        input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization (BatchNorma (None, 64, 64, 64)   256         conv2d[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation (Activation)         (None, 64, 64, 64)   0           batch_normalization[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_1 (Conv2D)               (None, 64, 64, 64)   4096        activation[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_1 (BatchNor (None, 64, 64, 64)   256         conv2d_1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_1 (Activation)       (None, 64, 64, 64)   0           batch_normalization_1[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_2 (Conv2D)               (None, 64, 64, 64)   36864       activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_2 (BatchNor (None, 64, 64, 64)   256         conv2d_2[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_2 (Activation)       (None, 64, 64, 64)   0           batch_normalization_2[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_3 (Conv2D)               (None, 64, 64, 256)  16384       activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_4 (Conv2D)               (None, 64, 64, 256)  16384       activation[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_3 (BatchNor (None, 64, 64, 256)  1024        conv2d_3[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_4 (BatchNor (None, 64, 64, 256)  1024        conv2d_4[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add (Add)                       (None, 64, 64, 256)  0           batch_normalization_3[0][0]      \n",
      "                                                                 batch_normalization_4[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "activation_3 (Activation)       (None, 64, 64, 256)  0           add[0][0]                        \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_5 (Conv2D)               (None, 64, 64, 64)   16384       activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_5 (BatchNor (None, 64, 64, 64)   256         conv2d_5[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_4 (Activation)       (None, 64, 64, 64)   0           batch_normalization_5[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_6 (Conv2D)               (None, 64, 64, 64)   36864       activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_6 (BatchNor (None, 64, 64, 64)   256         conv2d_6[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_5 (Activation)       (None, 64, 64, 64)   0           batch_normalization_6[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_7 (Conv2D)               (None, 64, 64, 256)  16384       activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_7 (BatchNor (None, 64, 64, 256)  1024        conv2d_7[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "add_1 (Add)                     (None, 64, 64, 256)  0           batch_normalization_7[0][0]      \n",
      "                                                                 activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_6 (Activation)       (None, 64, 64, 256)  0           add_1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_8 (Conv2D)               (None, 64, 64, 64)   16384       activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_8 (BatchNor (None, 64, 64, 64)   256         conv2d_8[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_7 (Activation)       (None, 64, 64, 64)   0           batch_normalization_8[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_9 (Conv2D)               (None, 64, 64, 64)   36864       activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_9 (BatchNor (None, 64, 64, 64)   256         conv2d_9[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_8 (Activation)       (None, 64, 64, 64)   0           batch_normalization_9[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_10 (Conv2D)              (None, 64, 64, 256)  16384       activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_10 (BatchNo (None, 64, 64, 256)  1024        conv2d_10[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_2 (Add)                     (None, 64, 64, 256)  0           batch_normalization_10[0][0]     \n",
      "                                                                 activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_9 (Activation)       (None, 64, 64, 256)  0           add_2[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_11 (Conv2D)              (None, 64, 64, 64)   16384       activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_11 (BatchNo (None, 64, 64, 64)   256         conv2d_11[0][0]                  \n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "activation_10 (Activation)      (None, 64, 64, 64)   0           batch_normalization_11[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_12 (Conv2D)              (None, 64, 64, 64)   36864       activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_12 (BatchNo (None, 64, 64, 64)   256         conv2d_12[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_11 (Activation)      (None, 64, 64, 64)   0           batch_normalization_12[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_13 (Conv2D)              (None, 64, 64, 256)  16384       activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_13 (BatchNo (None, 64, 64, 256)  1024        conv2d_13[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_3 (Add)                     (None, 64, 64, 256)  0           batch_normalization_13[0][0]     \n",
      "                                                                 activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_12 (Activation)      (None, 64, 64, 256)  0           add_3[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_15 (Conv2D)              (None, 32, 32, 64)   147456      activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_15 (BatchNo (None, 32, 32, 64)   256         conv2d_15[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_14 (Activation)      (None, 32, 32, 64)   0           batch_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_14 (Conv2D)              (None, 64, 64, 32)   73728       activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_24 (Conv2D)              (None, 32, 32, 64)   36864       activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_14 (BatchNo (None, 64, 64, 32)   128         conv2d_14[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_24 (BatchNo (None, 32, 32, 64)   256         conv2d_24[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_13 (Activation)      (None, 64, 64, 32)   0           batch_normalization_14[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_23 (Activation)      (None, 32, 32, 64)   0           batch_normalization_24[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_16 (Conv2D)              (None, 64, 64, 32)   9216        activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_25 (Conv2D)              (None, 32, 32, 64)   36864       activation_23[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_16 (BatchNo (None, 64, 64, 32)   128         conv2d_16[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_25 (BatchNo (None, 32, 32, 64)   256         conv2d_25[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_15 (Activation)      (None, 64, 64, 32)   0           batch_normalization_16[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_8 (Add)                     (None, 32, 32, 64)   0           batch_normalization_25[0][0]     \n",
      "                                                                 activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_17 (Conv2D)              (None, 64, 64, 32)   9216        activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_24 (Activation)      (None, 32, 32, 64)   0           add_8[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_17 (BatchNo (None, 64, 64, 32)   128         conv2d_17[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_26 (Conv2D)              (None, 32, 32, 64)   36864       activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_4 (Add)                     (None, 64, 64, 32)   0           batch_normalization_17[0][0]     \n",
      "                                                                 activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_26 (BatchNo (None, 32, 32, 64)   256         conv2d_26[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_16 (Activation)      (None, 64, 64, 32)   0           add_4[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "activation_25 (Activation)      (None, 32, 32, 64)   0           batch_normalization_26[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_18 (Conv2D)              (None, 64, 64, 32)   9216        activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_27 (Conv2D)              (None, 32, 32, 64)   36864       activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_18 (BatchNo (None, 64, 64, 32)   128         conv2d_18[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_27 (BatchNo (None, 32, 32, 64)   256         conv2d_27[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_17 (Activation)      (None, 64, 64, 32)   0           batch_normalization_18[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_9 (Add)                     (None, 32, 32, 64)   0           batch_normalization_27[0][0]     \n",
      "                                                                 activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_19 (Conv2D)              (None, 64, 64, 32)   9216        activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_26 (Activation)      (None, 32, 32, 64)   0           add_9[0][0]                      \n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_normalization_19 (BatchNo (None, 64, 64, 32)   128         conv2d_19[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_28 (Conv2D)              (None, 32, 32, 64)   36864       activation_26[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_5 (Add)                     (None, 64, 64, 32)   0           batch_normalization_19[0][0]     \n",
      "                                                                 activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_28 (BatchNo (None, 32, 32, 64)   256         conv2d_28[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 64, 64, 32)   0           add_5[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "activation_27 (Activation)      (None, 32, 32, 64)   0           batch_normalization_28[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_20 (Conv2D)              (None, 64, 64, 32)   9216        activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_29 (Conv2D)              (None, 32, 32, 64)   36864       activation_27[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_20 (BatchNo (None, 64, 64, 32)   128         conv2d_20[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_29 (BatchNo (None, 32, 32, 64)   256         conv2d_29[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 64, 64, 32)   0           batch_normalization_20[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_10 (Add)                    (None, 32, 32, 64)   0           batch_normalization_29[0][0]     \n",
      "                                                                 activation_26[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_21 (Conv2D)              (None, 64, 64, 32)   9216        activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_28 (Activation)      (None, 32, 32, 64)   0           add_10[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_21 (BatchNo (None, 64, 64, 32)   128         conv2d_21[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_30 (Conv2D)              (None, 32, 32, 64)   36864       activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_6 (Add)                     (None, 64, 64, 32)   0           batch_normalization_21[0][0]     \n",
      "                                                                 activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_30 (BatchNo (None, 32, 32, 64)   256         conv2d_30[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_20 (Activation)      (None, 64, 64, 32)   0           add_6[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "activation_29 (Activation)      (None, 32, 32, 64)   0           batch_normalization_30[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_22 (Conv2D)              (None, 64, 64, 32)   9216        activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_31 (Conv2D)              (None, 32, 32, 64)   36864       activation_29[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_22 (BatchNo (None, 64, 64, 32)   128         conv2d_22[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_31 (BatchNo (None, 32, 32, 64)   256         conv2d_31[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_21 (Activation)      (None, 64, 64, 32)   0           batch_normalization_22[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_11 (Add)                    (None, 32, 32, 64)   0           batch_normalization_31[0][0]     \n",
      "                                                                 activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_23 (Conv2D)              (None, 64, 64, 32)   9216        activation_21[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_30 (Activation)      (None, 32, 32, 64)   0           add_11[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_23 (BatchNo (None, 64, 64, 32)   128         conv2d_23[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_32 (Conv2D)              (None, 32, 32, 32)   2048        activation_30[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_7 (Add)                     (None, 64, 64, 32)   0           batch_normalization_23[0][0]     \n",
      "                                                                 activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_32 (BatchNo (None, 32, 32, 32)   128         conv2d_32[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_22 (Activation)      (None, 64, 64, 32)   0           add_7[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "up_sampling2d (UpSampling2D)    (None, 64, 64, 32)   0           batch_normalization_32[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_12 (Add)                    (None, 64, 64, 32)   0           activation_22[0][0]              \n",
      "                                                                 up_sampling2d[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_33 (Conv2D)              (None, 32, 32, 64)   18432       activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_34 (Conv2D)              (None, 64, 64, 32)   9216        add_12[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_33 (BatchNo (None, 32, 32, 64)   256         conv2d_33[0][0]                  \n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_normalization_34 (BatchNo (None, 64, 64, 32)   128         conv2d_34[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_13 (Add)                    (None, 32, 32, 64)   0           batch_normalization_33[0][0]     \n",
      "                                                                 activation_30[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_31 (Activation)      (None, 64, 64, 32)   0           batch_normalization_34[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_36 (Conv2D)              (None, 16, 16, 128)  73728       add_13[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_37 (Conv2D)              (None, 64, 64, 32)   9216        activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_35 (Conv2D)              (None, 32, 32, 64)   36864       add_13[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_36 (BatchNo (None, 16, 16, 128)  512         conv2d_36[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_37 (BatchNo (None, 64, 64, 32)   128         conv2d_37[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_35 (BatchNo (None, 32, 32, 64)   256         conv2d_35[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_33 (Activation)      (None, 16, 16, 128)  0           batch_normalization_36[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_34 (Activation)      (None, 64, 64, 32)   0           batch_normalization_37[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_32 (Activation)      (None, 32, 32, 64)   0           batch_normalization_35[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_53 (Conv2D)              (None, 16, 16, 128)  147456      activation_33[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_38 (Conv2D)              (None, 64, 64, 32)   9216        activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_45 (Conv2D)              (None, 32, 32, 64)   36864       activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_53 (BatchNo (None, 16, 16, 128)  512         conv2d_53[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_38 (BatchNo (None, 64, 64, 32)   128         conv2d_38[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_45 (BatchNo (None, 32, 32, 64)   256         conv2d_45[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_50 (Activation)      (None, 16, 16, 128)  0           batch_normalization_53[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_14 (Add)                    (None, 64, 64, 32)   0           batch_normalization_38[0][0]     \n",
      "                                                                 activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_42 (Activation)      (None, 32, 32, 64)   0           batch_normalization_45[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_54 (Conv2D)              (None, 16, 16, 128)  147456      activation_50[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_35 (Activation)      (None, 64, 64, 32)   0           add_14[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_46 (Conv2D)              (None, 32, 32, 64)   36864       activation_42[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_54 (BatchNo (None, 16, 16, 128)  512         conv2d_54[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_39 (Conv2D)              (None, 64, 64, 32)   9216        activation_35[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_46 (BatchNo (None, 32, 32, 64)   256         conv2d_46[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_22 (Add)                    (None, 16, 16, 128)  0           batch_normalization_54[0][0]     \n",
      "                                                                 activation_33[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_39 (BatchNo (None, 64, 64, 32)   128         conv2d_39[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_18 (Add)                    (None, 32, 32, 64)   0           batch_normalization_46[0][0]     \n",
      "                                                                 activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_51 (Activation)      (None, 16, 16, 128)  0           add_22[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_36 (Activation)      (None, 64, 64, 32)   0           batch_normalization_39[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_43 (Activation)      (None, 32, 32, 64)   0           add_18[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_55 (Conv2D)              (None, 16, 16, 128)  147456      activation_51[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_40 (Conv2D)              (None, 64, 64, 32)   9216        activation_36[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_47 (Conv2D)              (None, 32, 32, 64)   36864       activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_55 (BatchNo (None, 16, 16, 128)  512         conv2d_55[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_40 (BatchNo (None, 64, 64, 32)   128         conv2d_40[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_47 (BatchNo (None, 32, 32, 64)   256         conv2d_47[0][0]                  \n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "activation_52 (Activation)      (None, 16, 16, 128)  0           batch_normalization_55[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_15 (Add)                    (None, 64, 64, 32)   0           batch_normalization_40[0][0]     \n",
      "                                                                 activation_35[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_44 (Activation)      (None, 32, 32, 64)   0           batch_normalization_47[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_56 (Conv2D)              (None, 16, 16, 128)  147456      activation_52[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_37 (Activation)      (None, 64, 64, 32)   0           add_15[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_48 (Conv2D)              (None, 32, 32, 64)   36864       activation_44[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_56 (BatchNo (None, 16, 16, 128)  512         conv2d_56[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_41 (Conv2D)              (None, 64, 64, 32)   9216        activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_48 (BatchNo (None, 32, 32, 64)   256         conv2d_48[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_23 (Add)                    (None, 16, 16, 128)  0           batch_normalization_56[0][0]     \n",
      "                                                                 activation_51[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_41 (BatchNo (None, 64, 64, 32)   128         conv2d_41[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_19 (Add)                    (None, 32, 32, 64)   0           batch_normalization_48[0][0]     \n",
      "                                                                 activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_53 (Activation)      (None, 16, 16, 128)  0           add_23[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_38 (Activation)      (None, 64, 64, 32)   0           batch_normalization_41[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_45 (Activation)      (None, 32, 32, 64)   0           add_19[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_57 (Conv2D)              (None, 16, 16, 128)  147456      activation_53[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_42 (Conv2D)              (None, 64, 64, 32)   9216        activation_38[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_49 (Conv2D)              (None, 32, 32, 64)   36864       activation_45[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_57 (BatchNo (None, 16, 16, 128)  512         conv2d_57[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_42 (BatchNo (None, 64, 64, 32)   128         conv2d_42[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_49 (BatchNo (None, 32, 32, 64)   256         conv2d_49[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_54 (Activation)      (None, 16, 16, 128)  0           batch_normalization_57[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_16 (Add)                    (None, 64, 64, 32)   0           batch_normalization_42[0][0]     \n",
      "                                                                 activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_46 (Activation)      (None, 32, 32, 64)   0           batch_normalization_49[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_58 (Conv2D)              (None, 16, 16, 128)  147456      activation_54[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_39 (Activation)      (None, 64, 64, 32)   0           add_16[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_50 (Conv2D)              (None, 32, 32, 64)   36864       activation_46[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_58 (BatchNo (None, 16, 16, 128)  512         conv2d_58[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_43 (Conv2D)              (None, 64, 64, 32)   9216        activation_39[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_50 (BatchNo (None, 32, 32, 64)   256         conv2d_50[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_24 (Add)                    (None, 16, 16, 128)  0           batch_normalization_58[0][0]     \n",
      "                                                                 activation_53[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_43 (BatchNo (None, 64, 64, 32)   128         conv2d_43[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_20 (Add)                    (None, 32, 32, 64)   0           batch_normalization_50[0][0]     \n",
      "                                                                 activation_45[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_55 (Activation)      (None, 16, 16, 128)  0           add_24[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_40 (Activation)      (None, 64, 64, 32)   0           batch_normalization_43[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_47 (Activation)      (None, 32, 32, 64)   0           add_20[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_59 (Conv2D)              (None, 16, 16, 128)  147456      activation_55[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_44 (Conv2D)              (None, 64, 64, 32)   9216        activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_51 (Conv2D)              (None, 32, 32, 64)   36864       activation_47[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_59 (BatchNo (None, 16, 16, 128)  512         conv2d_59[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_44 (BatchNo (None, 64, 64, 32)   128         conv2d_44[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_51 (BatchNo (None, 32, 32, 64)   256         conv2d_51[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_56 (Activation)      (None, 16, 16, 128)  0           batch_normalization_59[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_17 (Add)                    (None, 64, 64, 32)   0           batch_normalization_44[0][0]     \n",
      "                                                                 activation_39[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_48 (Activation)      (None, 32, 32, 64)   0           batch_normalization_51[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_60 (Conv2D)              (None, 16, 16, 128)  147456      activation_56[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_41 (Activation)      (None, 64, 64, 32)   0           add_17[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_52 (Conv2D)              (None, 32, 32, 64)   36864       activation_48[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_60 (BatchNo (None, 16, 16, 128)  512         conv2d_60[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_52 (BatchNo (None, 32, 32, 64)   256         conv2d_52[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_25 (Add)                    (None, 16, 16, 128)  0           batch_normalization_60[0][0]     \n",
      "                                                                 activation_55[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_65 (Conv2D)              (None, 32, 32, 32)   9216        activation_41[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_21 (Add)                    (None, 32, 32, 64)   0           batch_normalization_52[0][0]     \n",
      "                                                                 activation_47[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_57 (Activation)      (None, 16, 16, 128)  0           add_25[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_65 (BatchNo (None, 32, 32, 32)   128         conv2d_65[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_49 (Activation)      (None, 32, 32, 64)   0           add_21[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_64 (Conv2D)              (None, 16, 16, 64)   8192        activation_57[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_58 (Activation)      (None, 32, 32, 32)   0           batch_normalization_65[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_63 (Conv2D)              (None, 32, 32, 64)   18432       activation_41[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_64 (BatchNo (None, 16, 16, 64)   256         conv2d_64[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_66 (Conv2D)              (None, 16, 16, 128)  36864       activation_58[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_67 (Conv2D)              (None, 16, 16, 128)  73728       activation_49[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_63 (BatchNo (None, 32, 32, 64)   256         conv2d_63[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "up_sampling2d_3 (UpSampling2D)  (None, 32, 32, 64)   0           batch_normalization_64[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_66 (BatchNo (None, 16, 16, 128)  512         conv2d_66[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_67 (BatchNo (None, 16, 16, 128)  512         conv2d_67[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_61 (Conv2D)              (None, 32, 32, 32)   2048        activation_49[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_62 (Conv2D)              (None, 16, 16, 32)   4096        activation_57[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_27 (Add)                    (None, 32, 32, 64)   0           batch_normalization_63[0][0]     \n",
      "                                                                 activation_49[0][0]              \n",
      "                                                                 up_sampling2d_3[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "add_28 (Add)                    (None, 16, 16, 128)  0           batch_normalization_66[0][0]     \n",
      "                                                                 batch_normalization_67[0][0]     \n",
      "                                                                 activation_57[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_61 (BatchNo (None, 32, 32, 32)   128         conv2d_61[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_62 (BatchNo (None, 16, 16, 32)   128         conv2d_62[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_69 (Conv2D)              (None, 32, 32, 64)   36864       add_27[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_70 (Conv2D)              (None, 16, 16, 128)  147456      add_28[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_71 (Conv2D)              (None, 8, 8, 256)    294912      add_28[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "up_sampling2d_1 (UpSampling2D)  (None, 64, 64, 32)   0           batch_normalization_61[0][0]     \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "up_sampling2d_2 (UpSampling2D)  (None, 64, 64, 32)   0           batch_normalization_62[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_69 (BatchNo (None, 32, 32, 64)   256         conv2d_69[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_70 (BatchNo (None, 16, 16, 128)  512         conv2d_70[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_71 (BatchNo (None, 8, 8, 256)    1024        conv2d_71[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "add_26 (Add)                    (None, 64, 64, 32)   0           activation_41[0][0]              \n",
      "                                                                 up_sampling2d_1[0][0]            \n",
      "                                                                 up_sampling2d_2[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "activation_60 (Activation)      (None, 32, 32, 64)   0           batch_normalization_69[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_61 (Activation)      (None, 16, 16, 128)  0           batch_normalization_70[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_62 (Activation)      (None, 8, 8, 256)    0           batch_normalization_71[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_68 (Conv2D)              (None, 64, 64, 32)   9216        add_26[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_80 (Conv2D)              (None, 32, 32, 64)   36864       activation_60[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_88 (Conv2D)              (None, 16, 16, 128)  147456      activation_61[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_96 (Conv2D)              (None, 8, 8, 256)    589824      activation_62[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_68 (BatchNo (None, 64, 64, 32)   128         conv2d_68[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_80 (BatchNo (None, 32, 32, 64)   256         conv2d_80[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_88 (BatchNo (None, 16, 16, 128)  512         conv2d_88[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_96 (BatchNo (None, 8, 8, 256)    1024        conv2d_96[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_59 (Activation)      (None, 64, 64, 32)   0           batch_normalization_68[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_71 (Activation)      (None, 32, 32, 64)   0           batch_normalization_80[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_79 (Activation)      (None, 16, 16, 128)  0           batch_normalization_88[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_87 (Activation)      (None, 8, 8, 256)    0           batch_normalization_96[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_72 (Conv2D)              (None, 64, 64, 32)   9216        activation_59[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_81 (Conv2D)              (None, 32, 32, 64)   36864       activation_71[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_89 (Conv2D)              (None, 16, 16, 128)  147456      activation_79[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_97 (Conv2D)              (None, 8, 8, 256)    589824      activation_87[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_72 (BatchNo (None, 64, 64, 32)   128         conv2d_72[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_81 (BatchNo (None, 32, 32, 64)   256         conv2d_81[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_89 (BatchNo (None, 16, 16, 128)  512         conv2d_89[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_97 (BatchNo (None, 8, 8, 256)    1024        conv2d_97[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_63 (Activation)      (None, 64, 64, 32)   0           batch_normalization_72[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_33 (Add)                    (None, 32, 32, 64)   0           batch_normalization_81[0][0]     \n",
      "                                                                 activation_60[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_37 (Add)                    (None, 16, 16, 128)  0           batch_normalization_89[0][0]     \n",
      "                                                                 activation_61[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_41 (Add)                    (None, 8, 8, 256)    0           batch_normalization_97[0][0]     \n",
      "                                                                 activation_62[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_73 (Conv2D)              (None, 64, 64, 32)   9216        activation_63[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_72 (Activation)      (None, 32, 32, 64)   0           add_33[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_80 (Activation)      (None, 16, 16, 128)  0           add_37[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_88 (Activation)      (None, 8, 8, 256)    0           add_41[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_73 (BatchNo (None, 64, 64, 32)   128         conv2d_73[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_82 (Conv2D)              (None, 32, 32, 64)   36864       activation_72[0][0]              \n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_90 (Conv2D)              (None, 16, 16, 128)  147456      activation_80[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_98 (Conv2D)              (None, 8, 8, 256)    589824      activation_88[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_29 (Add)                    (None, 64, 64, 32)   0           batch_normalization_73[0][0]     \n",
      "                                                                 activation_59[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_82 (BatchNo (None, 32, 32, 64)   256         conv2d_82[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_90 (BatchNo (None, 16, 16, 128)  512         conv2d_90[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_98 (BatchNo (None, 8, 8, 256)    1024        conv2d_98[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_64 (Activation)      (None, 64, 64, 32)   0           add_29[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_73 (Activation)      (None, 32, 32, 64)   0           batch_normalization_82[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_81 (Activation)      (None, 16, 16, 128)  0           batch_normalization_90[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_89 (Activation)      (None, 8, 8, 256)    0           batch_normalization_98[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_74 (Conv2D)              (None, 64, 64, 32)   9216        activation_64[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_83 (Conv2D)              (None, 32, 32, 64)   36864       activation_73[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_91 (Conv2D)              (None, 16, 16, 128)  147456      activation_81[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_99 (Conv2D)              (None, 8, 8, 256)    589824      activation_89[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_74 (BatchNo (None, 64, 64, 32)   128         conv2d_74[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_83 (BatchNo (None, 32, 32, 64)   256         conv2d_83[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_91 (BatchNo (None, 16, 16, 128)  512         conv2d_91[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_99 (BatchNo (None, 8, 8, 256)    1024        conv2d_99[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_65 (Activation)      (None, 64, 64, 32)   0           batch_normalization_74[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_34 (Add)                    (None, 32, 32, 64)   0           batch_normalization_83[0][0]     \n",
      "                                                                 activation_72[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_38 (Add)                    (None, 16, 16, 128)  0           batch_normalization_91[0][0]     \n",
      "                                                                 activation_80[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_42 (Add)                    (None, 8, 8, 256)    0           batch_normalization_99[0][0]     \n",
      "                                                                 activation_88[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_75 (Conv2D)              (None, 64, 64, 32)   9216        activation_65[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_74 (Activation)      (None, 32, 32, 64)   0           add_34[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_82 (Activation)      (None, 16, 16, 128)  0           add_38[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_90 (Activation)      (None, 8, 8, 256)    0           add_42[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_75 (BatchNo (None, 64, 64, 32)   128         conv2d_75[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_84 (Conv2D)              (None, 32, 32, 64)   36864       activation_74[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_92 (Conv2D)              (None, 16, 16, 128)  147456      activation_82[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_100 (Conv2D)             (None, 8, 8, 256)    589824      activation_90[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_30 (Add)                    (None, 64, 64, 32)   0           batch_normalization_75[0][0]     \n",
      "                                                                 activation_64[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_84 (BatchNo (None, 32, 32, 64)   256         conv2d_84[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_92 (BatchNo (None, 16, 16, 128)  512         conv2d_92[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_100 (BatchN (None, 8, 8, 256)    1024        conv2d_100[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_66 (Activation)      (None, 64, 64, 32)   0           add_30[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_75 (Activation)      (None, 32, 32, 64)   0           batch_normalization_84[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_83 (Activation)      (None, 16, 16, 128)  0           batch_normalization_92[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_91 (Activation)      (None, 8, 8, 256)    0           batch_normalization_100[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_76 (Conv2D)              (None, 64, 64, 32)   9216        activation_66[0][0]              \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "conv2d_85 (Conv2D)              (None, 32, 32, 64)   36864       activation_75[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_93 (Conv2D)              (None, 16, 16, 128)  147456      activation_83[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_101 (Conv2D)             (None, 8, 8, 256)    589824      activation_91[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_76 (BatchNo (None, 64, 64, 32)   128         conv2d_76[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_85 (BatchNo (None, 32, 32, 64)   256         conv2d_85[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_93 (BatchNo (None, 16, 16, 128)  512         conv2d_93[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_101 (BatchN (None, 8, 8, 256)    1024        conv2d_101[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_67 (Activation)      (None, 64, 64, 32)   0           batch_normalization_76[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_35 (Add)                    (None, 32, 32, 64)   0           batch_normalization_85[0][0]     \n",
      "                                                                 activation_74[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_39 (Add)                    (None, 16, 16, 128)  0           batch_normalization_93[0][0]     \n",
      "                                                                 activation_82[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_43 (Add)                    (None, 8, 8, 256)    0           batch_normalization_101[0][0]    \n",
      "                                                                 activation_90[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_77 (Conv2D)              (None, 64, 64, 32)   9216        activation_67[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_76 (Activation)      (None, 32, 32, 64)   0           add_35[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_84 (Activation)      (None, 16, 16, 128)  0           add_39[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_92 (Activation)      (None, 8, 8, 256)    0           add_43[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_77 (BatchNo (None, 64, 64, 32)   128         conv2d_77[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_86 (Conv2D)              (None, 32, 32, 64)   36864       activation_76[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_94 (Conv2D)              (None, 16, 16, 128)  147456      activation_84[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_102 (Conv2D)             (None, 8, 8, 256)    589824      activation_92[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_31 (Add)                    (None, 64, 64, 32)   0           batch_normalization_77[0][0]     \n",
      "                                                                 activation_66[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_86 (BatchNo (None, 32, 32, 64)   256         conv2d_86[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_94 (BatchNo (None, 16, 16, 128)  512         conv2d_94[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_102 (BatchN (None, 8, 8, 256)    1024        conv2d_102[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_68 (Activation)      (None, 64, 64, 32)   0           add_31[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_77 (Activation)      (None, 32, 32, 64)   0           batch_normalization_86[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_85 (Activation)      (None, 16, 16, 128)  0           batch_normalization_94[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "activation_93 (Activation)      (None, 8, 8, 256)    0           batch_normalization_102[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_78 (Conv2D)              (None, 64, 64, 32)   9216        activation_68[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_87 (Conv2D)              (None, 32, 32, 64)   36864       activation_77[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_95 (Conv2D)              (None, 16, 16, 128)  147456      activation_85[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_103 (Conv2D)             (None, 8, 8, 256)    589824      activation_93[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_78 (BatchNo (None, 64, 64, 32)   128         conv2d_78[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_87 (BatchNo (None, 32, 32, 64)   256         conv2d_87[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_95 (BatchNo (None, 16, 16, 128)  512         conv2d_95[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_103 (BatchN (None, 8, 8, 256)    1024        conv2d_103[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_69 (Activation)      (None, 64, 64, 32)   0           batch_normalization_78[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "add_36 (Add)                    (None, 32, 32, 64)   0           batch_normalization_87[0][0]     \n",
      "                                                                 activation_76[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_40 (Add)                    (None, 16, 16, 128)  0           batch_normalization_95[0][0]     \n",
      "                                                                 activation_84[0][0]              \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "add_44 (Add)                    (None, 8, 8, 256)    0           batch_normalization_103[0][0]    \n",
      "                                                                 activation_92[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_79 (Conv2D)              (None, 64, 64, 32)   9216        activation_69[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_78 (Activation)      (None, 32, 32, 64)   0           add_36[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_86 (Activation)      (None, 16, 16, 128)  0           add_40[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation_94 (Activation)      (None, 8, 8, 256)    0           add_44[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_79 (BatchNo (None, 64, 64, 32)   128         conv2d_79[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_104 (Conv2D)             (None, 32, 32, 32)   2048        activation_78[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_105 (Conv2D)             (None, 16, 16, 32)   4096        activation_86[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_106 (Conv2D)             (None, 8, 8, 32)     8192        activation_94[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_32 (Add)                    (None, 64, 64, 32)   0           batch_normalization_79[0][0]     \n",
      "                                                                 activation_68[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_104 (BatchN (None, 32, 32, 32)   128         conv2d_104[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_105 (BatchN (None, 16, 16, 32)   128         conv2d_105[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_106 (BatchN (None, 8, 8, 32)     128         conv2d_106[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "activation_70 (Activation)      (None, 64, 64, 32)   0           add_32[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "up_sampling2d_4 (UpSampling2D)  (None, 64, 64, 32)   0           batch_normalization_104[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "up_sampling2d_5 (UpSampling2D)  (None, 64, 64, 32)   0           batch_normalization_105[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "up_sampling2d_6 (UpSampling2D)  (None, 64, 64, 32)   0           batch_normalization_106[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "concatenate (Concatenate)       (None, 64, 64, 128)  0           activation_70[0][0]              \n",
      "                                                                 up_sampling2d_4[0][0]            \n",
      "                                                                 up_sampling2d_5[0][0]            \n",
      "                                                                 up_sampling2d_6[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "up_sampling2d_7 (UpSampling2D)  (None, 128, 128, 128 0           concatenate[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_107 (Conv2D)             (None, 128, 128, 3)  384         up_sampling2d_7[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_107 (BatchN (None, 128, 128, 3)  12          conv2d_107[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "Classification (Activation)     (None, 128, 128, 3)  0           batch_normalization_107[0][0]    \n",
      "==================================================================================================\n",
      "Total params: 9,524,300\n",
      "Trainable params: 9,504,838\n",
      "Non-trainable params: 19,462\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "' Presenting the hr-net model architecture'\n",
    "\n",
    "filenames = os.listdir('./Phase1_Pretrained-models/hrnet_ce-jaccard_hr-net/')\n",
    "filenames = [filenames[ii].replace('.h5','').replace('.json','') for ii in range(len(filenames))]\n",
    "hrnet_ensemble = tk.load_zoo('./Phase1_Pretrained-models/hrnet_ce-jaccard_hr-net/', filenames)\n",
    "hrnet_ensemble[0].summary()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Present Phase II architectures: "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You might already have the models below download from gdrive to your working directory. If so, skip the below code and jump straight to "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start downloading Xception net models...\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "\n",
    "' Download Resnet50 pretrained weights '\n",
    "\n",
    "os.makedirs(f'./Phase2_Pretrained-models/Resnet50/', exist_ok = True)\n",
    "os.chdir(f'./Phase2_Pretrained-models/Resnet50/') \n",
    "\n",
    "loading_tools.resnet50_gdrive_()\n",
    "    \n",
    "os.chdir(f'../')\n",
    "os.chdir(f'../')\n",
    "\n",
    "\n",
    "\n",
    "' Download Vanilla pretrained weights '\n",
    "\n",
    "os.makedirs(f'./Phase2_Pretrained-models/Vanilla/', exist_ok = True)\n",
    "os.chdir(f'./Phase2_Pretrained-models/Vanilla/') \n",
    "\n",
    "loading_tools.Vanilla_gdrive_()\n",
    "\n",
    "os.chdir(f'../')\n",
    "os.chdir(f'../')\n",
    "\"\"\"\n",
    "' Download Xception pretrained weights '\n",
    "\n",
    "os.makedirs(f'./Phase2_Pretrained-models/Xception/', exist_ok = True)\n",
    "os.chdir(f'./Phase2_Pretrained-models/Xception/') \n",
    "\n",
    "loading_tools.Xception_gdrive_()\n",
    "\n",
    "os.chdir(f'../')\n",
    "os.chdir(f'../')\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Phase II architectures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_4\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "resnet50 (Functional)        (None, 7, 7, 2048)        23587712  \n",
      "_________________________________________________________________\n",
      "FlobalGlobal_avg (GlobalAver (None, 2048)              0         \n",
      "_________________________________________________________________\n",
      "sRBC_classes (Dense)         (None, 3)                 6147      \n",
      "=================================================================\n",
      "Total params: 23,593,859\n",
      "Trainable params: 23,540,739\n",
      "Non-trainable params: 53,120\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "' Presenting the fine-tuned Resnet50 model architecture'\n",
    "\n",
    "filenames = os.listdir('./Phase2_Pretrained-models/Resnet50/')\n",
    "filenames = [filenames[ii].replace('.h5','').replace('.json','') for ii in range(len(filenames))]\n",
    "Resnet50_ensemble = tk.load_zoo('./Phase2_Pretrained-models/Resnet50/', filenames)\n",
    "Resnet50_ensemble[0].summary()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "lower_head (Functional)      (None, 8, 8, 64)          19392     \n",
      "_________________________________________________________________\n",
      "FlobalGlobal_avg (GlobalAver (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "sRBC_classes (Dense)         (None, 3)                 195       \n",
      "=================================================================\n",
      "Total params: 19,587\n",
      "Trainable params: 19,587\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "' Presenting the fine-tuned Vanilla model architecture'\n",
    "\n",
    "filenames = os.listdir('./Phase2_Pretrained-models/Vanilla/')\n",
    "filenames = [filenames[ii].replace('.h5','').replace('.json','') for ii in range(len(filenames))]\n",
    "Vanilla_ensemble = tk.load_zoo('./Phase2_Pretrained-models/Vanilla/', filenames)\n",
    "Vanilla_ensemble[0].summary()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_14\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "xception (Functional)        (None, 7, 7, 2048)        20861480  \n",
      "_________________________________________________________________\n",
      "FlobalGlobal_avg (GlobalAver (None, 2048)              0         \n",
      "_________________________________________________________________\n",
      "sRBC_classes (Dense)         (None, 3)                 6147      \n",
      "=================================================================\n",
      "Total params: 20,867,627\n",
      "Trainable params: 20,813,099\n",
      "Non-trainable params: 54,528\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "' Presenting the fine-tuned Xception model architecture'\n",
    "\n",
    "filenames = os.listdir('./Phase2_Pretrained-models/Xception/')\n",
    "filenames = [filenames[ii].replace('.h5','').replace('.json','') for ii in range(len(filenames))]\n",
    "Xception_ensemble = tk.load_zoo('./Phase2_Pretrained-models/Xception/', filenames)\n",
    "Xception_ensemble[0].summary()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}