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MyYolo.pro
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QT += core
QT -= gui
CONFIG += c++11
TARGET = MyYolo
CONFIG += console
CONFIG -= app_bundle
TEMPLATE = app
SOURCES += main.cpp\
data.h\
data.c\
activations.h\ # all kinds of none-linearity functions (forward activation & backward gradients compute)
activations.c\
activation_layer.h\ # layer (all neurons) forward and backward
activation_layer.c\
avgpool_layer.h\ # forward & backward avg_pool
avgpool_layer.c\
connected_layer.h\ # forward & backward fully-connected layer
connected_layer.c\
convolutional_layer.h\ # forward & backward & other ops convolutinoal layer
convolutional_layer.c\
dropout_layer.h\ # forward & backward dropout layer
dropout_layer.c\
im2col.h\ # convert sliding window convolutional ops to matrix multiple
im2col.c\
col2im.h\ # convert matrix multiple result back to image
col2im.c\
layer.h\ # important!!! define data structure layer!
layer.c\
maxpool_layer.h\ # forward & backward avg_pool
maxpool_layer.c\
network.h\ # important!!! define data structure network!
network.c\
softmax_layer.h\ # forward & backward softmax layer
softmax_layer.c\
cuda.h\ # CUDA head file
cuda.c\
utils.h\ # util function
utils.c\
deconvolutional_layer.h\# forward & backward deconvolutional_layer
deconvolutional_layer.c\
gemm.h\ # matrix multiple ops
gemm.c\
image.h\ # many ops on image
image.c\
batchnorm_layer.h\ # forward & backward batchnorm_layer
batchnorm_layer.c\
normalization_layer.h\ # forward & backward normalization_layer
normalization_layer.c\
parser.h\ # parse network cfg & load save weights
parser.c\
darknet.c\ # define top module darknet
blas.h\ # define some linear algebra
blas.c\
box.h\ # define data structure box & ops on box(iou ,non max supression etc.)
box.c\
cost_layer.h\ # forward & backward cost_layer
cost_layer.c\
crop_layer.h\ # forward crop_layer
crop_layer.c\
local_layer.h\ # forward & backward local_layer
local_layer.c\
reorg_layer.h\ # forward & backward reorg_layer
reorg_layer.c\
shortcut_layer.h\ # forward & backward shortcut_layer
shortcut_layer.c\
detection_layer.h\ # forward & backward detection_layer
detection_layer.c\
region_layer.h\ # forward & backward region_layer
region_layer.c\
route_layer.h\ # forward & backward route_layer
route_layer.c\
yolo.c\ # YOLO projects
tree.h\ # define tree data structure and its ops
tree.c\
list.h\ # define list data structure and its ops
list.c\
option_list.h\ # define option_list(key value?) data structure and its ops
option_list.c\
matrix.h\ # define matrix data structure and its ops
matrix.c\
stb_image.h\ # image file read write
stb_image_write.h\
demo.h\ # a demo for what??? mutli thread???
demo.c
# The following define makes your compiler emit warnings if you use
# any feature of Qt which as been marked deprecated (the exact warnings
# depend on your compiler). Please consult the documentation of the
# deprecated API in order to know how to port your code away from it.
DEFINES += QT_DEPRECATED_WARNINGS
# You can also make your code fail to compile if you use deprecated APIs.
# In order to do so, uncomment the following line.
# You can also select to disable deprecated APIs only up to a certain version of Qt.
#DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000 # disables all the APIs deprecated before Qt 6.0.0