mydarknet
redo for Darknet !
/src/core activation_kernels.cu activation_layer.c activation_layer.h activations.c activations.h
avgpool_layer.c avgpool_layer.c avgpool_layer_kernels.cu
batchnorm_layer.c batchnorm_layer.h
blas.c blas.h blas_kernel.cu
box.c box.h
col2im.c col2im.h col2im_kernels.cu
compare.c
connected_layer.c connected_layer.h
convolutional_kernels.cu convolutional_layer.c convolutional_layer.h
cost_layer.c cost_layer.h
crnn_layer.c crnn_layer.h
crop_layer.c crop_layer.h crop_layer_kernels.cu
cuda.c cuda.h
data.c data.h
deconvolutional_kernels.cu convolutional_layer.c convolutional_layer.h
demo.c demo.h
detection_layer.c detection_layer.h
dropout_layer.c dropout_layer.h dropout_kernels.cu
gemm.c gemm.h
gru_layer.c gru_layer.h
im2col.c im2col.h im2col_kernels.cu
image.c image.h image_opencv.cpp
iseg_layer.c iseg_layer.h
l2nom_layer.c l2nom_layer.h
layer.c layer.h
local_layer.c local_layer.h
logistic_layer.c logistic_layer.h
lstm_layer.c lstm_layer.h
matrix.c matrix.h
maxpool_layer.c maxpool_layer.h maxpool_layer_kernels.cu
network.c network.h
nomalization_layer.c nomalization_layer.h
parser.c parser.h
region_layer.c region_layer.h
reorg_layer.c reorg_layer.h
rnn_layer.c rnn_layer.h
route_layer.c route_layer.h
shortcut_layer.c shortcut_layer.h
softmax_layer.c softmax_layer.h
stb_image_write.h stb_image.h
upsample_layer.c upsample_layer.h
yolo_layer.c yolo_layer.h
/src/examples darknet.c detector.c
/src/tools cvector.c cvector.h
list.c list.h
option_list.c option_list.h
tree.c tree.h
utils.c utils.h