Comments (2)
boza-wd
commented on September 3, 2024
Also is there a way to display the segmentation within the demo?! Thx
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timmeinhardt
commented on September 3, 2024
Is flashmap.mp4 your file or from any of the presented datasets?
If the video sequence contains drastic camera changes or very low frame rates this indeed can pose a challenging tracking situation which might lead to loss of tracks. You could try setting the track_obj_score_thresh to a lower value or play around with the re-identification parameters. But this is something you have to try and figure out until it works best for your unique sequence.
Segmentation masks are only predicted if you load a model which was trained for that task. See our pretrained MOTS20 models.
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Related Issues (20)
- Custom dataset: class_error: 100 HOT 6
- CUDA out of memory when the sequence last too long HOT 6
- Details of Pretrained model
- Thoughts poor performance? HOT 2
- cannot allocate memory HOT 2
- How to obtain Deformable DETR pretrained model (hidden_dim_288) HOT 2
- Issues on training custom datasets HOT 11
- Error while installing MultiScaleDeformableAttention package HOT 8
- Where can I download the pretrained model？thanks~
- Problems on running VisDrone2019 dataset
- Custom dataset: class_error: 0
- Encountered error while trying to install package lapsolver HOT 1
- ImportError: libtorch_cuda_cu.so: cannot open shared object file: No such file or directory HOT 2
- Compare FPS with yolov7
- Where to find checkpoints ? HOT 1
- when I use evaluate_mot_accums to eva MOT17,I get "Process finished with exit code 137"
- I try to train with MOT17,when I use "multi_frame_attention = True",I get " RuntimeError: stack expects each tensor to be equal size, but got [2, 2, 21, 27, 43] at entry 0 and [2, 2, 21, 27, 42] at entry 1" HOT 15
- Some error with install MultiScaleDeformableAttention package
- How to generate segm results HOT 4
- How can we convert the model to onnx? HOT 1
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