Comments (2)
AruniRC
commented on June 7, 2024
Our code was written for running on a cluster over multiple videos in parallel -- it is taking some time to clean this up for a public release. Apologies about this delay.
It is based off the MDNet tracker: https://github.com/HyeonseobNam/MDNet
Thank you for your patience.
from detectron-self-train.
Jason-cs18
commented on June 7, 2024
Thanks for your awesome works on self-learning. But I have questions about how to use MDNet to mine the hard positives because MDNet is a tracking algorithm for single object tracking and you need to provide bbs for multiple objects in this project. Besides this, I am confused about how to extract the hard bbs from tracking. From my perspective, MDNet is a detection-free tracking approach and would generate many bbs without detectors. Thus, did you use these new bbs by MDNet to filter all bbs (low confidence) by the detection?
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Related Issues (15)
- initial weight download HOT 6
- Images without pedestrian bbox HOT 3
- Width and Height of the images HOT 1
- Can you provide a separate evaluation code? HOT 1
- Do the 'width' and 'height' in json need to swap?
- What if I'd like to use own dataset HOT 3
- ImportError: cannot import name numpy_type_map HOT 2
- Detectron Pytorch repo not found HOT 1
- CS6 Dataset Download HOT 4
- What if re-training on pseudo-labeled target images only? HOT 2
- sh make.sh problem in Window10 HOT 1
- how to generate pseudo labels from baseline detection model HOT 28
- Train DA Faster R-CNN HOT 1
- Is it possible to convert to Caffe2? HOT 1
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