he010103 / cfwcr Goto Github PK
View Code? Open in Web Editor NEW5th visual object tracking(VOT) tracker CFWCR
License: MIT License
5th visual object tracking(VOT) tracker CFWCR
License: MIT License
未定义函数或变量 'mtimesx'。
I have runned the demo_CFWCR successfully.
But i met errors when running run_experiments below :
In tracker_CFWCR,I use CFWCR_VOT().m
And when i use CFWCR_VOT_CPU().m,it could run successfully,but the results using CPU is not as good as GPU.
Do you know how to fix this proble?
Thanks for your reply.
请问 imagenet-vgg-m-2048-cut.mat在哪里下载?
I can sucessfully run the code demo_CFWCR.m in your test data “sequences/Crossing”.
So I add some new data for further test. I put the image files in the "sequences/frame/img" folder, and a groundtruth_rect.txt in the "sequences/frame".
groundtruth_rect.txt I give only contained one line of coordinate in order tp initialize the program.
And then, the demo_CRWCR can finished without error. However, in the output "results.res" only contained one coordinate, which I gave in groundtruth_rect.txt.
Why the program didn't give some predict result? What was I have missed?
hello ~
could you please upload your results on VOT2016 and OTB100 ? where can i get your results ?
I have runned the demo_CFWCR.m successfully
and i have copied the trax files into the native of VOT file
and then i create the workpace.
But i meet the error when i run run_experiments.m
Tracker execution interrupted: Unable to start the tracker process
TraX support not detected.
Thanks for your reply if you know how to deal with this error.
Hi @he010103 ,
Your method is such good. I want to know that how you train your model? I want to train our own dataset, how I can do? Can you share your training codes?
the install.m has the following line 19
vl_compilenn('enableGpu', true, 'cudaMethod', 'nvcc','cudaRoot', 'your cuda path','verbose', 2);
which has 'your cuda path' for cudaRoot. It is not mentioned in the README that we need to set/change/remove this first before running install
Also, this is a bit unnecessary, since the 2nd step in the README already asks to compile and install matconvnet via the link 'more install details'
How to solve this issue
Error using vl_nnconv
An input is not a numeric array (or GPU support not compiled).
Error in vl_simplenn (line 300)
res(i+1).x = vl_nnconv(res(i).x, l.weights{1}, l.weights{2}, ...
Error in get_cnn_layers (line 23)
cnn_feat = vl_simplenn(fparams.net,gpuArray(im),[],[],'CuDNN',false, 'Mode', 'test');
Error in extract_features (line 48)
feature_map(ind:ind+num_blocks-1) = feat.getFeature(img_samples{img_sample_ind}, feat.fparams, gparams);
Error in tracker (line 275)
xl = extract_features(im, sample_pos, currentScaleFactor, features, global_fparams, feature_extract_info);
Error in testing_CFWCR (line 98)
results = tracker(params);
Error in demo_CFWCR (line 13)
results = testing_CFWCR(seq);
Dear author,
you mention that 'Setting export CUDA_CACHE_MAXSIZE=8000000000" in the ./~bash_profile so that gpuDevice(1) will take fewer time.', and I suppose you run the code in Ubuntu platform.
Could you tell me how to set this in Windows? Thank you!
Best wishes!
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