face_detect_eval-master.zip
(预估有个57文件)
face_detect_eval-master
bbox.cpython-36m-x86_64-linux-gnu.so
139KB
t_centerface
results.txt
0B
models
onnx
centerface_bnmerged.onnx
6.97MB
centerface.onnx
7.18MB
main.py
2KB
centerface.py
5KB
t_retina_pytorch_resnet50
results.txt
101B
test_widerface.py
9KB
ground_truth
wider_medium_val.mat
403KB
wider_easy_val.mat
399KB
wider_face_val.mat
388KB
wider_hard_val.mat
414KB
evaluation.py
9KB
t_retina_pytorch_mobilenetv2
results.txt
101B
test_widerface.py
9KB
t_retina_ncnn_mobilenetv2
results.txt
102B
main.cpp
4KB
CMakeLists.txt
637B
tools.cpp
2KB
config.cpp
437B
anchor_generator.h
2KB
config.h
590B
tools.h
182B
anchor_generator.cpp
5KB
model
retina.param
29KB
retina.bin
1.68MB
main.py
2KB
ncnn
include
ncnn
layer_shader_type.h
974B
c_api.h
5KB
cpu.h
2KB
paramdict.h
2KB
modelbin.h
2KB
net.h
8KB
option.h
4KB
pipelinecache.h
5KB
gpu.h
12KB
pipeline.h
3KB
opencv.h
6KB
allocator.h
12KB
layer_type_enum.h
1KB
command.h
9KB
layer.h
5KB
layer_shader_type_enum.h
89B
simplestl.h
11KB
simpleomp.h
1KB
platform.h
6KB
layer_type.h
954B
datareader.h
2KB
blob.h
1KB
benchmark.h
1KB
mat.h
65KB
install_manifest.txt
2KB
lib
libncnn.a
3.45MB
cmake
ncnn
ncnn.cmake
3KB
ncnnConfig.cmake
832B
ncnn-release.cmake
777B
face_recognition.h
3KB
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