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YOLO (Layers (rnn (rnn_layer.h, rnn_layer.c), shortcut (shortcut_layer.h,…
YOLO
Layers
active
rnn
rnn_layer.h
rnn_layer.c
shortcut
shortcut_layer.h
shortcut_layer.c
gru
grup_layer.h
grup_layer.c
local
local_layer.h
local_layer.c
lstm
lstm_layer.h
lstm_layer.c
avgpool
avgpoo_layerl.h
avgpool_layer_kernels.cu
avgpool_layer.c
crnn
crnn_layer.h
crnn_layer.c
normalization
normalization_layer.h
normalization_layer.c
batchnorm
batchnorm_layer.h
batchnorm.c
cost
cost_layer.h
cost_layer.c
network
route
route_layer.h
route_layer.c
xnor
crop
crop_layer.h
crop_layer_kernels_cu
crop_layer.c
region
region_layer.h
region_layer.c
dropout
dropout_layer.h
dropout_layer_kerneks.cu
dropout_layer.c
yolo
yolo_layer.h
yolo_layer.c
detetcrion
detection_layer.h
detetction_layer.c
reorg
reorg_layer.h
reorg_layer.c
softmax
softmax_layer.h
softmax_layer.c
upsample
upsample_layer.h
upsample_layer.c
maxpool
maxpool_layer.h
maxpool_layer_kernels.cu
maxpool_layer.c
logxent
connected
connected_layer.h
connected_layer.c
l2norm
l2norm_layer.h
l2norm_layer.c
deconvolutional
deconvolutional_layer.h
deconvolutional_layer_kerneks_cu
deconvolutional_layer.c
blank
convolutional
convolutional_layer.h
convolutional_layer_kernels.cu
convolutional_layer.c
logistic
logistic_layer.h
logistic_layer.c
activation
activation_layer.h
activation_layer_kernels.cu
activation_layer.c
utils
gemm
gemm.h
gemm.c
demo
demo.h
demo.c
im2col
im2col.h
im2col_kernels.cu
im2col.c
data
data.h
data.c
cuda
cuda.h
cuda.c
image
image.h
image.c
compare
compare.c
layer
layer.h
layer.c
col2im
col2im.h
col2im_kernels.cu
col2im.c
list
list.h
list.c
classifier
classifier.h
matrix
matrix.h
matrix.c
box
box.h
box.c
network
network.h
network.c
blas
blas.h
blas_kernels.cu
blas.c
option_list
option_list.h
option_list.c
activations
activations.h
activations.c
parser
parser.h
对网络结构进行解析、网络各层权重在推理时的加载和训练时的保存保存
parser.c
stb_image_write
stb_image_write.h
stb_image
stb_image.h
tree
tree.h
tree.c
utils
utils.h
utils.c