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Unofficial Implementation of the paper: Multiple People Tracking by Lifted Multicut and Person Re-identification

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there is nothing about the model in the internet "http://188.138.127.15:81/models/". What should I do about it? thanks a lot if you tell me .

From the code i cannot find body part fusing. Is the fusing step in provided h5 model?

In the file MultiplePeople Tracking, line 54, the code use ' reid = StackNet64×64(root)', but i acn not find the 'root'. is there a bug?

I had tested on the MOT16, but got very poor performance. Is anyone successful on reproducing the numbers on paper? Maybe we can discuss on improving the project and help...

File "/home/gyc/GYC_Python_Work/Multiple-People-Tracking-by-Lifted-Multicut-and-Person-Re-identification.py", line 16, in execute_multiple_people_tracking(video_folder, X, Dt, video_name, dmax, settings_file) File "/home/gyc/GYC_Python_Work/cabbage/MultiplePeopleTracking.py", line 57, in execute_multiple_people_tracking gg.build(Dt, X, W, batch_size=batch_size) File "/home/gyc/GYC_Python_Work/cabbage/MultiplePeopleTracking.py", line 95, in build lookup = AABBLookup(Dt,...

Thanks for your LMP code, do you have the pytorch version code of LMP?

On case sensitive file systems would call to the `graph_solver` executable fail. This pull request fixes the name of the executable to lower case `sample`.

Fix two typos that cause batch generation to fail on assertion and stacknet fail to load.

I am facing issues to import cabbage. It still shows up in pip but I don't know why I cant import it. Can you please help solve it.

Thanks for putting this repo online! Really like the paper. I had a question regarding running the code. Seems like I cannot start the subprocess necessary for deepmatching. Running on...