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Light-Head RCNN and One Novel Object Detector

License: Apache License 2.0

C 0.08% CMake 0.45% C++ 12.02% Cuda 3.91% Python 83.53%
light-head rcnn tensorflow objectdetection faster-rcnn rfcn-resnet

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x-detector's Issues

compilation error while building PSROIPooling

Hi all,
I can't build libps_roi_align.so, running into following error:
X-Detector/cpp/PSROIPooling$ cmake .
X-Detector/cpp/PSROIPooling$ make
[ 10%] Building NVCC (Device) object CMakeFiles/cuda_compile_4.dir/cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o
sh: 1: cannot create -/rotated_ps_roi_align_grad_op.cpp1.ii: Directory nonexistent
CMake Error at cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o.cmake:219 (message):
Error generating
/data/open_source_projects/object_detection/X-Detector/cpp/PSROIPooling/CMakeFiles/cuda_compile_4.dir//./cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o

CMakeFiles/ps_roi_align.dir/build.make:84: recipe for target 'CMakeFiles/cuda_compile_4.dir/cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o' failed
make[2]: *** [CMakeFiles/cuda_compile_4.dir/cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o] Error 1
CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/ps_roi_align.dir/all' failed
make[1]: *** [CMakeFiles/ps_roi_align.dir/all] Error 2
Makefile:83: recipe for target 'all' failed
make: *** [all] Error 2

Env: OS Ubuntu 18, python 3.6.6, tensorflow-gpu==1.11.0, cuda-9.0

Any help is highly appreciated

what about the speed and mAP vs yolov3

@HiKapok hi, have you ever try to train on COCO ? can the model be as good as the paper result (we can find its' mAP is close to yolov3, but 3 times fps to yolov2). Recently, I want to do human head detection, i want to use light-head-rcnn, can you give some advices? I am new in deep learning,thank you.

Error during loading lips_roi_align.so

Hi, thanks for sharing the code!
I went to cpp/PSROIPooling, and then executed cmake, and finally make, to generate the libps_roi_align.so file. But when I run the demo, I encountered this error:

tensorflow.python.framework.errors_impl.NotFoundError: ./cpp/PSROIPooling/libps_roi_align.so: undefined symbol: _ZN10tensorflow11GetNodeAttrERKNS_9AttrSliceENS_11StringPieceEPSs

I used exactly the same environment: tensorflow-1.6, python-3.5 and ubuntu 16.04. Also, I googled to find relevant topics but with no success.
Appreciate it if you can help.

Why tf tries to occupy so much GPU memory for simple test?

Hi there,
I'm trying to run your light_head_simple_demo.py with provided model model.ckpt-121397
But while starting the script I run into out of memory issue: while restoring parameters from the checkpoint tf tries to occupy > 14Gb of GPU and falls because I have less than 16Gb.
But the model weight file has size less than 0,5Gb.
Does it really require >16Gb? Or I have somewhere wrong settings for the model? How much memory does it requires for that test?

For test I use tensorflow docker container with pre-installed Ubuntu16, cuda9.0, tensorflow1.6, python 3.5

Thanks

cpp psroi pooling can not built

Same error:

oi_align_op.h:25:61: fatal error: third_party/eigen3/unsupported/Eigen/CXX11/Tensor: No such file or directory
compilation terminated.
CMake Error at cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o.cmake:220 (message):
  Error generating
  /media/jintain/sg/ai/career/robot/ctirobot/detect/X-Detector/cpp/PSROIPooling/build/CMakeFiles/cuda_compile_4.dir//./cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o


CMakeFiles/ps_roi_align.dir/build.make:84: recipe for target 'CMakeFiles/cuda_compile_4.dir/cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o' failed
make[2]: *** [CMakeFiles/cuda_compile_4.dir/cuda_compile_4_generated_rotated_ps_roi_align_grad_op.cu.o] Error 1
CMakeFiles/Makefile2:72: recipe for target 'CMakeFiles/ps_roi_align.dir/all' failed
make[1]: *** [CMakeFiles/ps_roi_align.dir/all] Error 2
Makefile:83: recipe for target 'all' failed
make: *** [all] Error 2

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