Comments (2)
GT9505
commented on June 10, 2024
All video detectors are trained in ImageNet VID dataset. They can only detect objects of 30 categories, and the person category not belongs to these categories. If you only want to track humans, you can try MOT methods, such as Deep Sort and Tracktor
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ioctl-user
commented on June 10, 2024
Thanks, will try.
from mmtracking.
Related Issues (20)
- 您好，您的mmtrack/datasets/pipelines/transforms.py中的SeqExpand应该是写错了，得到的序列中每个图片的增强都不同，在vid算法训练时，时序信息将会丢失。 HOT 2
- mmtracking and BDD100Kdataset
- Multiple static targets in MixFormer
- Poor training results on custom data with ''Temporal ROI Align for Video Object Recognition'' ?
- Maybe a small bug about test progress bar in multi_gpu_test(). HOT 1
- AssertionError: MMCV==2.0.1 is used but incompatible. Please install mmcv>=1.3.17, <2.0.0. HOT 2
- ModuleNotFoundError: No module named 'mmtrack' HOT 1
- mmcv compatibility
- ModuleNotFoundError: No module named 'mmcv._ext' HOT 1
- Failing to build wheels of mmtrack HOT 1
- The MOT tutorial does not output label for detection results
- KeyError: 'categories'
- Using YOLOV8 in MMTracking
- -
- mmdet depends on mmcv>=2.0.0rc4 while mmtrack depends on mmcv <2.0.0 HOT 2
- Compatability Issue between MMCV and MMTracking HOT 1
- in _get_stream if device.type == "cpu": AttributeError: 'int' object has no attribute 'type' HOT 1
- Is this repo dead? HOT 2
- KeyError: "'track_bboxes' not found in the outputs."
- improve compatibility between mmcv and mmdection
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