[Feature] Support the training of QDTrack algorithm in MOT #433
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Seerkfang
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Codecov Report
@@ Coverage Diff @@
## master #433 +/- ##
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+ Coverage 72.51% 73.12% +0.61%
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Files 121 125 +4
Lines 7054 7218 +164
Branches 1332 1364 +32
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+ Hits 5115 5278 +163
+ Misses 1538 1519 -19
- Partials 401 421 +20
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GT9505
reviewed
Feb 21, 2022
mmtrack/models/mot/qdtrack.py
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| return dict(det_bboxes=det_bboxes, track_bboxes=track_bboxes) | ||
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| def show_result(self, |
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use the show_result in BaseMultiObjectTracker
mmtrack/models/mot/qdtrack.py
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| return losses | ||
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| def simple_test(self, img, img_metas, rescale=False): |
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delete the function in the PR, since the tracker is not in the PR
| """bool: whether the track head contains a `embed_head`""" | ||
| return hasattr(self, 'embed_head') and self.embed_head is not None | ||
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| def init_weights(self, *args, **kwargs): |
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please use init_cfg to init the weights of modules
GT9505
reviewed
Mar 3, 2022
GT9505
reviewed
Mar 3, 2022
GT9505
reviewed
Mar 3, 2022
GT9505
reviewed
Mar 3, 2022
| @@ -0,0 +1,100 @@ | |||
| _base_ = './qdtrack_faster_rcnn_r50_fpn.py' | |||
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These three configs still need to be refactored.
Please discuss it with me.
added 2 commits
March 3, 2022 16:49
GT9505
reviewed
Mar 6, 2022
GT9505
approved these changes
Mar 6, 2022
GT9505
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