文件名称：vs2015编译的microsoft提供的caffe框架包
文件大小：207.73MB
文件格式：RAR
更新时间：2022-02-15 15:29:32
caffe 深度学习 AI
win10+vs2015+anaconda2（python27）编译完的caffe框架可执行文件（CPU），解压后把 pycaffe/caffe拷到anaconda\Lib\site-packages,然后在环境变量里添加你解压的路径。
【文件预览】：
caffe.binding.pdb
libprotobuf-lite.dll
upgrade_solver_proto_text.pdb
opencv_world310d.dll
hdf5_hl.dll
extract_features.exe
libprotobufd.dll
upgrade_solver_proto_text.exe
libprotobuf-lited.dll
hdf5_f90cstub.dll
classification.pdb
compute_image_mean.lib
caffe.lib
extract_features.pdb
classification.exe
convert_imageset.exp
libprotobuf.dll
upgrade_net_proto_binary.exe
compute_image_mean.exe
hdf5_tools.dll
caffe.binding.dll
convert_mnist_siamese_data.pdb
caffe.pdb
libgcc_s_seh-1.dll
caffe.exe
upgrade_net_proto_text.pdb
compute_image_mean.exp
opencv_world310.dll
vcruntime140.dll
caffe.binding.exp
upgrade_net_proto_binary.pdb
convert_mnist_data.pdb
test_all.exe
pycaffe
----train.py(3KB)
----classify.py(4KB)
----detect.py(6KB)
----caffe()
--------caffe.binding.dll(5.24MB)
--------io.py(12KB)
--------_caffe.pyd(5.8MB)
--------classifier.py(3KB)
--------coord_map.py(7KB)
--------_caffe.pdb(32.38MB)
--------net_spec.py(8KB)
--------detector.py(8KB)
--------_caffe.exp(727B)
--------__init__.py(552B)
--------_caffe.lib(2KB)
--------draw.py(9KB)
--------proto()
--------pycaffe.py(11KB)
----draw_net.py(2KB)
hdf5_hl_fortran.dll
convert_imageset.lib
nccld.dll
hdf5_cpp.dll
libcaffe.lib
libprotocd.dll
hdf5_hl_cpp.dll
libquadmath-0.dll
msvcp140.dll
convert_mnist_data.lib
caffe.exp
convert_cifar_data.pdb
glogd.dll
nccl.dll
convert_mnist_data.exp
test_all.pdb
convert_cifar_data.exe
hdf5_hl_f90cstub.dll
convert_mnist_siamese_data.exe
protoc.exe
caffe.binding.lib
compute_image_mean.pdb
hdf5_fortran.dll
convert_mnist_data.exe
libopenblas.dll
libprotoc.dll
glog.dll
libgfortran-3.dll
hdf5.dll
zlib.dll
convert_imageset.pdb
gflags.dll
szip.dll
convert_imageset.exe
upgrade_net_proto_text.exe