abhi2610 / ohem Goto Github PK

hey, I have download your code and I want to have a try, However, I found in your experiments/ directory there are no directory called cfg, but in your training scripts experiments/scripts/faster-rcnn-ohem.sh you have mentioned it. So could you upload your cfg file?

Hi

I am trying to make the idea of this code work with faster rcnn, but I have not been able to do so. Any hints?

Best,

what if I want to write this when use the Net_spec() in python ?
layer{
name: "m3@ssh_output_ohem"
type: "Concat"
bottom: "m3@ssh_3x3_output_ohem"
bottom: "m3@ssh_5x5_output_ohem"
bottom: "m3@ssh_7x7_output_ohem"
top: "m3@ssh_output_ohem"
concat_param{
axis: 1
}
propagate_down: false
propagate_down: false
propagate_down: false
}
There are three# propagate_down: false, and python can not receive the duplicate args.
How to write in python?

@abhi2610 HI

When I perform the training, encount the following error

Traceback (most recent call last):
  File "./tools/train_net.py", line 113, in <module>
    max_iters=args.max_iters)
  File "/home/jmx/ohem-end2end/tools/../lib/fast_rcnn/train.py", line 160, in train_net
    model_paths = sw.train_model(max_iters)
  File "/home/jmx/ohem-end2end/tools/../lib/fast_rcnn/train.py", line 101, in train_model
    self.solver.step(1)
  File "/home/jmx/ohem-end2end/tools/../lib/roi_data_layer/layer.py", line 242, in forward
    for x in [cls_prob[i,label] for i, label in enumerate(labels)]]
IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices

How do I modify it

many many thanks!!!

Hello, author.
Is this version of the code now available? Can you give me a reference?
Thanks very much

Hi, I met a problem when testing the ohem.

I found some similar talk about it
rbgirshick/py-faster-rcnn#2

[https://github.com/D-X-Y/caffe-faster-rcnn/issues/34] (https://github.com/D-X-Y/caffe-faster-rcnn/issues/34)

By changing the GPU_NMS=False didn't help.

Also when compile, it showed my GPU was sm_35 computing compatible. So it might not caused by this problem.
...............
-- Boost version: 1.58.0
-- Found the following Boost libraries:
-- system
-- thread
-- filesystem
-- chrono
-- date_time
-- atomic
-- Found gflags (include: /usr/local/include, library: /usr/local/lib/libgflags.a)
-- Found glog (include: /usr/local/include, library: /usr/local/lib/libglog.so)
-- Found PROTOBUF Compiler: /usr/bin/protoc
HDF5_ROOT:
-- HDF5: Using hdf5 compiler wrapper to determine C configuration
-- HDF5: Using hdf5 compiler wrapper to determine CXX configuration
-- Found lmdb (include: /usr/local/include, library: /usr/local/lib/liblmdb.so)
-- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so)
-- Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so)
-- CUDA detected: 8.0
-- Found cuDNN: ver. 5.1.10 found (include: /usr/local/cuda-8.0/include, library: /usr/local/cuda-8.0/lib64/libcudnn.so)
-- Added CUDA NVCC flags for: sm_35
-- OpenCV found (/usr/local/share/OpenCV)

Training and test of the py-faster-rcnn project is OK on the same machine. Training of the ohem also succeed. The problem only occurs at test phase.

Any hints about this issue or how to work around?