Comments (2)
When I trained the JDE model on the datasets written in the paper, the final conf loss was around ~0.00265
from towards-realtime-mot.
When I trained the JDE model on the datasets written in the paper, the final conf loss was around ~0.00265
Excuse me,what is your last ID loss
from towards-realtime-mot.
Related Issues (20)
- The output file error HOT 3
- 输入视频检测时显示图片,未响应
- Cityperson.zip from google drive error: invalid zip file with overlapped components (possible zip bomb) HOT 1
- Could find no file with path ? HOT 1
- 图片上没有检测结果 HOT 1
- 怎么查看损失曲线?How to check loss curve?
- box, conf, id, total, nTargets meaning?
- 1-based indexing MOT dataset
- Why the embedding representation of appearance is D*H*W, how can so many representations distinguish the representation of positive and negative samples
- 关于跟踪器update阶段轨迹最后的summarize中self.lost_strack轨迹问题
- can train multi-class Tracking ? HOT 1
- could I use this model with real-stream like camera?
- ZeroDivisionError: division by zero HOT 3
- Why do I train to get Nan result?
- Losing Tracking
- mAP 0 on custom dataset for Car tracking HOT 1
- Cityperson.zip cound not be downloaded from google drive
- TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
- Cityperson Link failure
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from towards-realtime-mot.