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Demo code of the paper "Fast and Accurate Online Video Object Segmentation via Tracking Parts", in CVPR 2018
@JingchunCheng following is the error I'm receiving on Running the bash:
<_io.TextIOWrapper name='' mode='w' encoding='UTF-8'> loading ../data/DAVIS2016//JPEGImages/480p/blackswan/00000.jpg
<_io.TextIOWrapper name='' mode='w' encoding='UTF-8'> box num = 246
F1119 18:42:55.289429 1572 im2col.cu:61] Check failed: error == cudaSuccess (48 vs. 0) no kernel image is available for execution on the device
*** Check failure stack trace: ***
Aborted (core dumped)
hi Jing chun,
So great work and clear code!
I'm running your code but can find the main func.
Can you please tell me how to run the code clearly.
Thanks so much !
best,
Lichao
@JingchunCheng There's no module named Surgery in solve.py, so I'm unable to run training script.
I found that if I wanna use my own data, I have to use the .mat.mat file in the part-tracking folder. So how could I generate this file? Do I need to use the tracker first?
Sorry to interrupt u.I just have got my tracking results,the images with bounding boxes ,but how can i test ur ROI SegNet with my tracking results?I hope u could give me some advice.Thank u so much!!!
I can't open the www.dropbox.com . Is there way to get the model ? thank you
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