Something on RoIAlign --- basic introduction and implementation

2018-10-22 22:40:09

Paper: Mask RCNN

Code: https://github.com/longcw/RoIAlign.pytorch

Blog:

1. https://www.cnblogs.com/wangyong/p/8523814.html

2. https://blog.csdn.net/JNingWei/article/details/78822159

3. https://blog.csdn.net/Julialove102123/article/details/80567827

===========　　Introduction　　===========

see this blog: https://www.cnblogs.com/wangxiaocvpr/p/9840230.html

===========　　Implementation　　===========

git clone https://github.com/longcw/RoIAlign.pytorch

cd RoIAlign.pytorch

modify the script install.sh and test.sh into the following way:

#!/usr/bin/env bash

CUDA_PATH=/usr/local/cuda

echo "Compiling crop_and_resize kernels by nvcc..."

cd roi_align/src/cuda

$CUDA_PATH/bin/nvcc -c -o crop_and_resize_kernel.cu.o crop_and_resize_kernel.cu -x cu -Xcompiler -fPIC -arch=sm_30 \

 -gencode=arch=compute_30,code=sm_30 \

 -gencode=arch=compute_50,code=sm_50 \

 -gencode=arch=compute_52,code=sm_52 \

 -gencode=arch=compute_60,code=sm_60 \

 -gencode=arch=compute_61,code=sm_61 \

 -gencode=arch=compute_62,code=sm_62 \

cd ../../../roi_align

python3 build.py

cd ..

python3 setup.py install

#find  $CONDA_PREFIX -name roi_align | awk '{mkdir $0 "/_ext" }' |bash

#find  $CONDA_PREFIX -name roi_align | awk '{print "cp -r roi_align/_ext/* " $0 "/_ext/" }' |bash
python3 tests/test.py

python3 tests/test2.py

python3 tests/crop_and_resize_example.py

then, run the test.sh, you can found this:

wangxiao@AHU:/media/wangxiao/b8efbc67-7ea5-476d-9631-70da75f84e2d/reference_code/RoIAlign.pytorch$ sh ./test.sh
/usr/local/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(*args, **kwds)
pytorch forward and backward start
pytorch forward and backward end
2018-10-22 22:38:28.483699: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-10-22 22:38:28.492705: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-10-22 22:38:28.493019: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate(GHz): 1.898
pciBusID: 0000:02:00.0
totalMemory: 7.92GiB freeMemory: 6.29GiB
2018-10-22 22:38:28.493047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:02:00.0, compute capability: 6.1)
2018-10-22 22:38:28.737003: E tensorflow/stream_executor/cuda/cuda_dnn.cc:378] Loaded runtime CuDNN library: 7102 (compatibility version 7100) but source was compiled with 6021 (compatibility version 6000). If using a binary install, upgrade your CuDNN library to match. If building from sources, make sure the library loaded at runtime matches a compatible version specified during compile configuration.
2018-10-22 22:38:28.737107: F tensorflow/core/kernels/conv_ops.cc:667] Check failed: stream->parent()->GetConvolveAlgorithms( conv_parameters.ShouldIncludeWinogradNonfusedAlgo<T>(), &algorithms)
Aborted
tensor([[[[0., 1., 2.],
[0., 1., 2.],
[0., 1., 2.]]]], grad_fn=<CropAndResizeFunction>)
torch.Size([2, 3, 500, 500])

Some Bug you may meet:

1. cffi.error.VerificationError: LinkError: command 'x86_64-linux-gnu-gcc' failed with exit status 1 

==>> run the followings in the terminal before you run "sh make.sh":

export CUDA_PATH=/usr/local/cuda/

export CXXFLAGS="-std=c++11"

export CFLAGS="-std=c99"

export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}

export CPATH=/usr/local/cuda-8.0/include${CPATH:+:${CPATH}}

export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

then, it will shown you the followings:

wangxiao@AHU:~/Documents/Detectron.pytorch/lib$ sh make.sh

running build_ext

building 'utils.cython_bbox' extension

creating build

creating build/temp.linux-x86_64-2.7

creating build/temp.linux-x86_64-2.7/utils

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -I/usr/local/lib/python2./dist-packages/numpy/core/include -I/usr/include/python2. -c utils/cython_bbox.c -o build/temp.linux-x86_64-2.7/utils/cython_bbox.o -Wno-cpp

creating build/lib.linux-x86_64-2.7

creating build/lib.linux-x86_64-2.7/utils

x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE= -g -fstack-protector --param=ssp-buffer-size= -Wformat -Werror=format-security -std=c99 build/temp.linux-x86_64-2.7/utils/cython_bbox.o -o build/lib.linux-x86_64-2.7/utils/cython_bbox.so

building 'utils.cython_nms' extension

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -I/usr/local/lib/python2./dist-packages/numpy/core/include -I/usr/include/python2. -c utils/cython_nms.c -o build/temp.linux-x86_64-2.7/utils/cython_nms.o -Wno-cpp

x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE= -g -fstack-protector --param=ssp-buffer-size= -Wformat -Werror=format-security -std=c99 build/temp.linux-x86_64-2.7/utils/cython_nms.o -o build/lib.linux-x86_64-2.7/utils/cython_nms.so

copying build/lib.linux-x86_64-2.7/utils/cython_bbox.so -> utils

copying build/lib.linux-x86_64-2.7/utils/cython_nms.so -> utils

Compiling nms kernels by nvcc...

Including CUDA code.

/home/wangxiao/Documents/Detectron.pytorch/lib/model/nms

['/home/wangxiao/Documents/Detectron.pytorch/lib/model/nms/src/nms_cuda_kernel.cu.o']

generating /tmp/tmp1cFjY6/_nms.c

setting the current directory to '/tmp/tmp1cFjY6'

running build_ext

building '_nms' extension

creating home

creating home/wangxiao

creating home/wangxiao/Documents

creating home/wangxiao/Documents/Detectron.pytorch

creating home/wangxiao/Documents/Detectron.pytorch/lib

creating home/wangxiao/Documents/Detectron.pytorch/lib/model

creating home/wangxiao/Documents/Detectron.pytorch/lib/model/nms

creating home/wangxiao/Documents/Detectron.pytorch/lib/model/nms/src

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c _nms.c -o ./_nms.o

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c /home/wangxiao/Documents/Detectron.pytorch/lib/model/nms/src/nms_cuda.c -o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/nms/src/nms_cuda.o

x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE= -g -fstack-protector --param=ssp-buffer-size= -Wformat -Werror=format-security -std=c99 ./_nms.o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/nms/src/nms_cuda.o /home/wangxiao/Documents/Detectron.pytorch/lib/model/nms/src/nms_cuda_kernel.cu.o -o ./_nms.so

Compiling roi pooling kernels by nvcc...

Including CUDA code.

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling

generating /tmp/tmpUUPhTw/_roi_pooling.c

setting the current directory to '/tmp/tmpUUPhTw'

running build_ext

building '_roi_pooling' extension

creating home

creating home/wangxiao

creating home/wangxiao/Documents

creating home/wangxiao/Documents/Detectron.pytorch

creating home/wangxiao/Documents/Detectron.pytorch/lib

creating home/wangxiao/Documents/Detectron.pytorch/lib/model

creating home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling

creating home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c _roi_pooling.c -o ./_roi_pooling.o

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src/roi_pooling.c -o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src/roi_pooling.o

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src/roi_pooling_cuda.c -o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src/roi_pooling_cuda.o

x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE= -g -fstack-protector --param=ssp-buffer-size= -Wformat -Werror=format-security -std=c99 ./_roi_pooling.o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src/roi_pooling.o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src/roi_pooling_cuda.o /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src/roi_pooling.cu.o -o ./_roi_pooling.so

Compiling roi crop kernels by nvcc...

Including CUDA code.

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop

generating /tmp/tmp2NBTVb/_roi_crop.c

setting the current directory to '/tmp/tmp2NBTVb'

running build_ext

building '_roi_crop' extension

creating home

creating home/wangxiao

creating home/wangxiao/Documents

creating home/wangxiao/Documents/Detectron.pytorch

creating home/wangxiao/Documents/Detectron.pytorch/lib

creating home/wangxiao/Documents/Detectron.pytorch/lib/model

creating home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop

creating home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c _roi_crop.c -o ./_roi_crop.o

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c -o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.o

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c: In function ‘BilinearSamplerBHWD_updateGradInput’:

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inBottomRight’ [-Wunused-variable]

         real inBottomRight=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inBottomLeft’ [-Wunused-variable]

         real inBottomLeft=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inTopRight’ [-Wunused-variable]

         real inTopRight=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inTopLeft’ [-Wunused-variable]

         real inTopLeft=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘v’ [-Wunused-variable]

         real v=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c: In function ‘BilinearSamplerBCHW_updateGradInput’:

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inBottomRight’ [-Wunused-variable]

         real inBottomRight=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inBottomLeft’ [-Wunused-variable]

         real inBottomLeft=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inTopRight’ [-Wunused-variable]

         real inTopRight=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inTopLeft’ [-Wunused-variable]

         real inTopLeft=;

              ^

/home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘v’ [-Wunused-variable]

         real v=;

              ^

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop_cuda.c -o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop_cuda.o

x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE= -g -fstack-protector --param=ssp-buffer-size= -Wformat -Werror=format-security -std=c99 ./_roi_crop.o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.o ./home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop_cuda.o /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop_cuda_kernel.cu.o -o ./_roi_crop.so

Compiling roi align kernels by nvcc...

Including CUDA code.

/home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align

generating /tmp/tmptraHMG/_roi_align.c

setting the current directory to '/tmp/tmptraHMG'

running build_ext

building '_roi_align' extension

creating home

creating home/wangxiao

creating home/wangxiao/Documents

creating home/wangxiao/Documents/Detectron.pytorch

creating home/wangxiao/Documents/Detectron.pytorch/lib

creating home/wangxiao/Documents/Detectron.pytorch/lib/modeling

creating home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom

creating home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align

creating home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align/src

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c _roi_align.c -o ./_roi_align.o

x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -std=c99 -fPIC -DWITH_CUDA -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/TH -I/usr/local/lib/python2./dist-packages/torch/utils/ffi/../../lib/include/THC -I/usr/local/cuda/include -I/usr/include/python2. -c /home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align/src/roi_align_cuda.c -o ./home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align/src/roi_align_cuda.o

x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE= -g -fstack-protector --param=ssp-buffer-size= -Wformat -Werror=format-security -std=c99 ./_roi_align.o ./home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align/src/roi_align_cuda.o /home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align/src/roi_align_kernel.cu.o -o ./_roi_align.so

wangxiao@AHU:~/Documents/Detectron.pytorch/lib$

2. You may also meet the following issues: AttributeError: 'module' object has no attribute 'getLogger'

Traceback (most recent call last):

  File "tools/train_net_step.py", line , in <module>

    import utils.net as net_utils

  File "/home/Detectron.pytorch/lib/utils/net.py", line , in <module>

    logger = logging.getLogger(__name__)

AttributeError: 'module' object has no attribute 'getLogger'

you need to re-compile the lib with python3.6. i.e. change the make.sh into follows: 

#!/usr/bin/env bash

CUDA_PATH=/usr/local/cuda/

python3 setup.py build_ext --inplace

rm -rf build

# Choose cuda arch as you need

CUDA_ARCH="-gencode arch=compute_30,code=sm_30 \

           -gencode arch=compute_35,code=sm_35 \

           -gencode arch=compute_50,code=sm_50 \

           -gencode arch=compute_52,code=sm_52 \

           -gencode arch=compute_60,code=sm_60 \

           -gencode arch=compute_61,code=sm_61 "

#          -gencode arch=compute_70,code=sm_70 "

# compile NMS

cd model/nms/src

echo "Compiling nms kernels by nvcc..."

nvcc -c -o nms_cuda_kernel.cu.o nms_cuda_kernel.cu \

     -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH

cd ../

python3 build.py

# compile roi_pooling

cd ../../

cd model/roi_pooling/src

echo "Compiling roi pooling kernels by nvcc..."

nvcc -c -o roi_pooling.cu.o roi_pooling_kernel.cu \

     -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH

cd ../

python3 build.py

# # compile roi_align

# cd ../../

# cd model/roi_align/src

# echo "Compiling roi align kernels by nvcc..."

# nvcc -c -o roi_align_kernel.cu.o roi_align_kernel.cu \

#      -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH

# cd ../

# python3 build.py

# compile roi_crop

cd ../../

cd model/roi_crop/src

echo "Compiling roi crop kernels by nvcc..."

nvcc -c -o roi_crop_cuda_kernel.cu.o roi_crop_cuda_kernel.cu \

     -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH

cd ../

python3 build.py

# compile roi_align (based on Caffe2's implementation)

cd ../../

cd modeling/roi_xfrom/roi_align/src

echo "Compiling roi align kernels by nvcc..."

nvcc -c -o roi_align_kernel.cu.o roi_align_kernel.cu \

     -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH

cd ../

python3 build.py

you also need to copy the file: e2e_mask_rcnn_R-50-C4_1x.yaml and rename it as: e2e_mask_rcnn_R-50-C4.yml

then, you can run the script to train the model: 

$ python3 tools/train_net_step.py --dataset coco2017 --cfg configs/baselines/e2e_mask_rcnn_R-50-C4.yml --use_tfboard --bs 5 --nw 2

wangxiao@AHU:~/Documents/Detectron.pytorch$ python3 tools/train_net_step.py --dataset coco2017 --cfg configs/baselines/e2e_mask_rcnn_R--C4.yml --use_tfboard --bs  --nw 

Called with args:

Namespace(batch_size=, cfg_file='configs/baselines/e2e_mask_rcnn_R-50-C4.yml', cuda=True, dataset='coco2017', disp_interval=, iter_size=, load_ckpt=None, load_detectron=None, lr=None, lr_decay_gamma=None, no_save=False, num_workers=, optimizer=None, resume=False, set_cfgs=[], start_step=, use_tfboard=True)

effective_batch_size = batch_size * iter_size =  *

Adaptive config changes:

effective_batch_size:  -->

NUM_GPUS:  -->

IMS_PER_BATCH:  -->

Adjust BASE_LR linearly according to batch_size change:

BASE_LR: 0.01 --> 0.00125

Adjust SOLVER.STEPS and SOLVER.MAX_ITER linearly based on effective_batch_size change:

SOLVER.STEPS: [, , ] --> [, , ]

SOLVER.MAX_ITER:  -->

Number of data loading threads:

loading annotations into memory...

Done (t=.39s)

creating index...

index created!

INFO json_dataset.py: : Loading cached gt_roidb from /home/wangxiao/Documents/Detectron.pytorch/data/cache/coco_2017_train_gt_roidb.pkl

INFO roidb.py: : Appending horizontally-flipped training examples...

INFO roidb.py: : Loaded dataset: coco_2017_train

INFO roidb.py: : Filtered  roidb entries:  ->

INFO roidb.py: : Computing image aspect ratios and ordering the ratios...

INFO roidb.py: : done

INFO roidb.py: : Computing bounding-box regression targets...

INFO roidb.py: : done

INFO train_net_step.py: :  roidb entries

INFO train_net_step.py: : Takes 93.39 sec(s) to construct roidb

INFO train_net_step.py: : Training starts !

INFO net.py: : Changing learning rate 0.000000 -> 0.000417

/usr/local/lib/python3./site-packages/torch/nn/functional.py:: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.

warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")

/usr/local/lib/python3./site-packages/torch/nn/functional.py:: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.

warnings.warn(warning.format(ret))

[Nov24---26_AHU_step][e2e_mask_rcnn_R--C4.yml][Step  / ]

loss: 6.916170, lr: 0.000417 time: 0.721983, eta:  days, ::

accuracy_cls: 0.001953

loss_cls: 4.648660, loss_bbox: 0.030453, loss_mask: 0.858463

loss_rpn_cls: 0.676336, loss_rpn_bbox: 0.702258

==

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