YOLOV4_MCMOT
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Using YOLOV4 as detector for MCMOT.
Hi, I have an issue evaluating the tracker. Currently, I am getting the same track ids in a single frame for a different class. It seems that track IDs are...
Hello, I have trained yolov4-paspp from Pytorch Yolov4 Repo. I have tested it in that repo, and it works perfectly on my dataset. But when i test the weights and...
标签的一些细节
@CaptainEven 打扰了,可以告知一下标签的格式细节呢,我明明使用的和mcmot一样的标签,但是,似乎一直出现越界的情况。 比如我有54个类,标签是这样的: 0.0 1.0 0.18229166666666666 0.37962962962962965 0.028125 0.10648148148148148 0.0 2.0 0.6484375 0.3731481481481482 0.03333333333333333 0.09351851851851851 0.0 3.0 0.7234375 0.49722222222222223 0.028645833333333332 0.09444444444444444 5.0 1.0 0.18802083333333333 0.7231481481481481 0.28489583333333335 0.3527777777777778 5.0 2.0 0.521875...
Starting training for 100 epochs... Epoch gpu_mem GIoU obj cls reid total targets img_size 0%| | 0/1 [00:00
HI @CaptainEven I want to detect track 10 classes, for that I used my yolov3 detection model with .weights but when i run demo.py. I am getting the error below,...
I found this code same as jde algorithm, jde algorithm based anchor center points to generate reid feature, but when two objects corresponding same anchor, this prediction may be become...
@CaptainEven Can I get your pretrained model for YOLO? Or How can I use track COCO objects using this code?
Thanks for putting this together, it looks like an excellent resource. However, I'm having some trouble getting the demo to work. All of the confidences are very low (
MCMOT_DET/images/PLM20200105/2020010201_135.jpg MCMOT_DET/images/PLM20200105/2020010201_144.jpg