first commit

.gitignore

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+app/ai_model/teacher_behavior_detection/data/roberta_wwm_ext_large/pytorch_model.bin

README.md

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+# teacher_behavior_detection
+

app/ai_model/detect.py

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+#coding:utf-8
+import os
+import threading
+os.environ["CUDA_VISIBLE_DEVICES"] = "0"
+import sys
+base_path = os.path.dirname(os.path.realpath(__file__))
+sys.path.append(os.path.join(base_path,'./teacher_behavior_detection'))
+sys.path.append(os.path.join(base_path,'./teacher_behavior_detection/src/auto_text_classifier'))
+from src.teacher_behavior_detection import detect as model_detect
+
+m_locker = threading.Lock()
+
+def detect(*args,**kvargs):
+    with m_locker:
+        return model_detect(*args,**kvargs)
+

app/ai_model/teacher_behavior_detection/README.md

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+# TeacherBehaviorDetector
+输入ASR文本，判断每句话是否为某种教学行为(鼓励、举例、提醒笔记、引导、复述、复习、寒暄、总结)。
+
+
+## 安装
+
+1、安装虚拟环境
+```sh
+conda create --name=4s_dev python=3.7.5
+source activate behavior_dev
+```
+
+>确保当前环境是`behavior_dev`
+
+2、安装依赖
+
+第一步：
+`conda install tensorflow-gpu==1.13.1  cudatoolkit=10.0.130=0`
+
+第二步:
+
+`pip install torch==1.5.0+cu101 torchvision==0.6.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html`
+
+然后
+
+`pip install -r requirements_gpu.txt`
+
+3、为jupyter安装core(可选）
+
+`ipython kernel install --user --name=behavior_dev`
+
+这时你发现jupyter 多了一个叫`behavior_dev`的core。
+
+删除核心
+
+`jupyter kernelspec remove behavior_dev`
+
+
+# 算法指标
+
+参考算法文档: 
+https://wiki.zhiyinlou.com/pages/viewpage.action?pageId=99908958
+
+# Usage
+
+参考demo.py

app/ai_model/teacher_behavior_detection/data/roberta_wwm_ext_large/config.json

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+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "directionality": "bidi",
+  "eos_token_id": 2,
+  "eos_token_ids": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_hidden_states": true,
+  "output_past": true,
+  "pad_token_id": 1,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "type_vocab_size": 2,
+  "vocab_size": 21128
+}

app/ai_model/teacher_behavior_detection/data/roberta_wwm_ext_large/special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

app/ai_model/teacher_behavior_detection/data/roberta_wwm_ext_large/tokenizer_config.json

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+{"unk_token": "[UNK]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "sep_token": "[SEP]"}