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:

  1. #!/usr/bin/env bash
  2.  
  3. CUDA_PATH=/usr/local/cuda
  4.  
  5. echo "Compiling crop_and_resize kernels by nvcc..."
  6. cd roi_align/src/cuda
  7. $CUDA_PATH/bin/nvcc -c -o crop_and_resize_kernel.cu.o crop_and_resize_kernel.cu -x cu -Xcompiler -fPIC -arch=sm_30 \
  8.  -gencode=arch=compute_30,code=sm_30 \
  9.  -gencode=arch=compute_50,code=sm_50 \
  10.  -gencode=arch=compute_52,code=sm_52 \
  11.  -gencode=arch=compute_60,code=sm_60 \
  12.  -gencode=arch=compute_61,code=sm_61 \
  13.  -gencode=arch=compute_62,code=sm_62 \
  14.  
  15. cd ../../../roi_align
  16. python3 build.py
  17.  
  18. cd ..
  19. python3 setup.py install
  20. #find  $CONDA_PREFIX -name roi_align | awk '{mkdir $0 "/_ext" }' |bash
  21. #find  $CONDA_PREFIX -name roi_align | awk '{print "cp -r roi_align/_ext/* " $0 "/_ext/" }' |bash
  1. python3 tests/test.py
  2. python3 tests/test2.py
  3. 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":

  1. export CUDA_PATH=/usr/local/cuda/
  2. export CXXFLAGS="-std=c++11"
  3. export CFLAGS="-std=c99"
  4. export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
  5. export CPATH=/usr/local/cuda-8.0/include${CPATH:+:${CPATH}}
  6. export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

then, it will shown you the followings:

  1. wangxiao@AHU:~/Documents/Detectron.pytorch/lib$ sh make.sh
  2. running build_ext
  3. building 'utils.cython_bbox' extension
  4. creating build
  5. creating build/temp.linux-x86_64-2.7
  6. creating build/temp.linux-x86_64-2.7/utils
  7. 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
  8. creating build/lib.linux-x86_64-2.7
  9. creating build/lib.linux-x86_64-2.7/utils
  10. 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
  11. building 'utils.cython_nms' extension
  12. 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
  13. 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
  14. copying build/lib.linux-x86_64-2.7/utils/cython_bbox.so -> utils
  15. copying build/lib.linux-x86_64-2.7/utils/cython_nms.so -> utils
  16. Compiling nms kernels by nvcc...
  17. Including CUDA code.
  18. /home/wangxiao/Documents/Detectron.pytorch/lib/model/nms
  19. ['/home/wangxiao/Documents/Detectron.pytorch/lib/model/nms/src/nms_cuda_kernel.cu.o']
  20. generating /tmp/tmp1cFjY6/_nms.c
  21. setting the current directory to '/tmp/tmp1cFjY6'
  22. running build_ext
  23. building '_nms' extension
  24. creating home
  25. creating home/wangxiao
  26. creating home/wangxiao/Documents
  27. creating home/wangxiao/Documents/Detectron.pytorch
  28. creating home/wangxiao/Documents/Detectron.pytorch/lib
  29. creating home/wangxiao/Documents/Detectron.pytorch/lib/model
  30. creating home/wangxiao/Documents/Detectron.pytorch/lib/model/nms
  31. creating home/wangxiao/Documents/Detectron.pytorch/lib/model/nms/src
  32. 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
  33. 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
  34. 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
  35. Compiling roi pooling kernels by nvcc...
  36. Including CUDA code.
  37. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling
  38. generating /tmp/tmpUUPhTw/_roi_pooling.c
  39. setting the current directory to '/tmp/tmpUUPhTw'
  40. running build_ext
  41. building '_roi_pooling' extension
  42. creating home
  43. creating home/wangxiao
  44. creating home/wangxiao/Documents
  45. creating home/wangxiao/Documents/Detectron.pytorch
  46. creating home/wangxiao/Documents/Detectron.pytorch/lib
  47. creating home/wangxiao/Documents/Detectron.pytorch/lib/model
  48. creating home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling
  49. creating home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_pooling/src
  50. 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
  51. 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
  52. 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
  53. 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
  54. Compiling roi crop kernels by nvcc...
  55. Including CUDA code.
  56. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop
  57. generating /tmp/tmp2NBTVb/_roi_crop.c
  58. setting the current directory to '/tmp/tmp2NBTVb'
  59. running build_ext
  60. building '_roi_crop' extension
  61. creating home
  62. creating home/wangxiao
  63. creating home/wangxiao/Documents
  64. creating home/wangxiao/Documents/Detectron.pytorch
  65. creating home/wangxiao/Documents/Detectron.pytorch/lib
  66. creating home/wangxiao/Documents/Detectron.pytorch/lib/model
  67. creating home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop
  68. creating home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src
  69. 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
  70. 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
  71. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c: In function ‘BilinearSamplerBHWD_updateGradInput’:
  72. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inBottomRight’ [-Wunused-variable]
  73.          real inBottomRight=;
  74.               ^
  75. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inBottomLeft’ [-Wunused-variable]
  76.          real inBottomLeft=;
  77.               ^
  78. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inTopRight’ [-Wunused-variable]
  79.          real inTopRight=;
  80.               ^
  81. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inTopLeft’ [-Wunused-variable]
  82.          real inTopLeft=;
  83.               ^
  84. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘v’ [-Wunused-variable]
  85.          real v=;
  86.               ^
  87. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c: In function ‘BilinearSamplerBCHW_updateGradInput’:
  88. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inBottomRight’ [-Wunused-variable]
  89.          real inBottomRight=;
  90.               ^
  91. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inBottomLeft’ [-Wunused-variable]
  92.          real inBottomLeft=;
  93.               ^
  94. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inTopRight’ [-Wunused-variable]
  95.          real inTopRight=;
  96.               ^
  97. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘inTopLeft’ [-Wunused-variable]
  98.          real inTopLeft=;
  99.               ^
  100. /home/wangxiao/Documents/Detectron.pytorch/lib/model/roi_crop/src/roi_crop.c::: warning: unused variable ‘v’ [-Wunused-variable]
  101.          real v=;
  102.               ^
  103. 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
  104. 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
  105. Compiling roi align kernels by nvcc...
  106. Including CUDA code.
  107. /home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align
  108. generating /tmp/tmptraHMG/_roi_align.c
  109. setting the current directory to '/tmp/tmptraHMG'
  110. running build_ext
  111. building '_roi_align' extension
  112. creating home
  113. creating home/wangxiao
  114. creating home/wangxiao/Documents
  115. creating home/wangxiao/Documents/Detectron.pytorch
  116. creating home/wangxiao/Documents/Detectron.pytorch/lib
  117. creating home/wangxiao/Documents/Detectron.pytorch/lib/modeling
  118. creating home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom
  119. creating home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align
  120. creating home/wangxiao/Documents/Detectron.pytorch/lib/modeling/roi_xfrom/roi_align/src
  121. 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
  122. 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
  123. 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
  124. wangxiao@AHU:~/Documents/Detectron.pytorch/lib$

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

  1. Traceback (most recent call last):
  2.   File "tools/train_net_step.py", line , in <module>
  3.     import utils.net as net_utils
  4.   File "/home/Detectron.pytorch/lib/utils/net.py", line , in <module>
  5.     logger = logging.getLogger(__name__)
  6. 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: 

  1. #!/usr/bin/env bash
  2.  
  3. CUDA_PATH=/usr/local/cuda/
  4.  
  5. python3 setup.py build_ext --inplace
  6. rm -rf build
  7.  
  8. # Choose cuda arch as you need
  9. CUDA_ARCH="-gencode arch=compute_30,code=sm_30 \
  10.            -gencode arch=compute_35,code=sm_35 \
  11.            -gencode arch=compute_50,code=sm_50 \
  12.            -gencode arch=compute_52,code=sm_52 \
  13.            -gencode arch=compute_60,code=sm_60 \
  14.            -gencode arch=compute_61,code=sm_61 "
  15. #          -gencode arch=compute_70,code=sm_70 "
  16.  
  17. # compile NMS
  18. cd model/nms/src
  19. echo "Compiling nms kernels by nvcc..."
  20. nvcc -c -o nms_cuda_kernel.cu.o nms_cuda_kernel.cu \
  21.      -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH
  22.  
  23. cd ../
  24. python3 build.py
  25.  
  26. # compile roi_pooling
  27. cd ../../
  28. cd model/roi_pooling/src
  29. echo "Compiling roi pooling kernels by nvcc..."
  30. nvcc -c -o roi_pooling.cu.o roi_pooling_kernel.cu \
  31.      -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH
  32. cd ../
  33. python3 build.py
  34.  
  35. # # compile roi_align
  36. # cd ../../
  37. # cd model/roi_align/src
  38. # echo "Compiling roi align kernels by nvcc..."
  39. # nvcc -c -o roi_align_kernel.cu.o roi_align_kernel.cu \
  40. #      -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH
  41. # cd ../
  42. # python3 build.py
  43.  
  44. # compile roi_crop
  45. cd ../../
  46. cd model/roi_crop/src
  47. echo "Compiling roi crop kernels by nvcc..."
  48. nvcc -c -o roi_crop_cuda_kernel.cu.o roi_crop_cuda_kernel.cu \
  49.      -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH
  50. cd ../
  51. python3 build.py
  52.  
  53. # compile roi_align (based on Caffe2's implementation)
  54. cd ../../
  55. cd modeling/roi_xfrom/roi_align/src
  56. echo "Compiling roi align kernels by nvcc..."
  57. nvcc -c -o roi_align_kernel.cu.o roi_align_kernel.cu \
  58.      -D GOOGLE_CUDA= -x cu -Xcompiler -fPIC $CUDA_ARCH
  59. cd ../
  60. 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

  1. 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 
  2. Called with args:
  3. 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)
  4. effective_batch_size = batch_size * iter_size =  *
  5. Adaptive config changes:
  6. effective_batch_size:  -->
  7. NUM_GPUS:  -->
  8. IMS_PER_BATCH:  -->
  9. Adjust BASE_LR linearly according to batch_size change:
  10. BASE_LR: 0.01 --> 0.00125
  11. Adjust SOLVER.STEPS and SOLVER.MAX_ITER linearly based on effective_batch_size change:
  12. SOLVER.STEPS: [, , ] --> [, , ]
  13. SOLVER.MAX_ITER:  -->
  14. Number of data loading threads:
  15. loading annotations into memory...
  16. Done (t=.39s)
  17. creating index...
  18. index created!
  19. INFO json_dataset.py: : Loading cached gt_roidb from /home/wangxiao/Documents/Detectron.pytorch/data/cache/coco_2017_train_gt_roidb.pkl
  20. INFO roidb.py: : Appending horizontally-flipped training examples...
  21. INFO roidb.py: : Loaded dataset: coco_2017_train
  22. INFO roidb.py: : Filtered  roidb entries:  ->
  23. INFO roidb.py: : Computing image aspect ratios and ordering the ratios...
  24. INFO roidb.py: : done
  25. INFO roidb.py: : Computing bounding-box regression targets...
  26. INFO roidb.py: : done
  27. INFO train_net_step.py: :  roidb entries
  28. INFO train_net_step.py: : Takes 93.39 sec(s) to construct roidb
  29. INFO train_net_step.py: : Training starts !
  30. INFO net.py: : Changing learning rate 0.000000 -> 0.000417
  31. /usr/local/lib/python3./site-packages/torch/nn/functional.py:: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
  32. warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
  33. /usr/local/lib/python3./site-packages/torch/nn/functional.py:: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
  34. warnings.warn(warning.format(ret))
  35. [Nov24---26_AHU_step][e2e_mask_rcnn_R--C4.yml][Step  / ]
  36. loss: 6.916170, lr: 0.000417 time: 0.721983, eta:  days, ::
  37. accuracy_cls: 0.001953
  38. loss_cls: 4.648660, loss_bbox: 0.030453, loss_mask: 0.858463
  39. loss_rpn_cls: 0.676336, loss_rpn_bbox: 0.702258

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