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wrong detection for visdron validation dataset #51
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@you need to modify object classes first: |
@tiru1930 Modify object class ids too. |
@CaptainEven I have done those changes but results are same
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@CaptainEven can i get the sample video that u are using for testing ? |
@tiru1930 Using ffmpeg, you will get the video from images. |
@CaptainEven over the frames , track id are changing, is this expected from these models ? |
the same result |
I solve the problem by editing the code in demo.py!
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@csdingithub Hi, I do not understand what you mean: |
Hi
I am trying to validate visdron validation dataset but the results, are not yet all good.
python demo.py
test_single(img_path='/home/tiru/Desktop/mcmot/MCMOT/data/VisDrone2019-MOT-val/sequences/uav0000339_00001_v/0000003.jpg', dev=torch.device('cpu'))
pre-trained model - model_path = './models/mcmot_last_track_resdcn_18_visdrone.pth'
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