[Feature] Support the testing of QDTrack algorithm in MOT #451
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@@ Coverage Diff @@
## master #451 +/- ##
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+ Coverage 72.99% 73.54% +0.55%
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Files 125 126 +1
Lines 7216 7375 +159
Branches 1364 1390 +26
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+ Hits 5267 5424 +157
- Misses 1519 1528 +9
+ Partials 430 423 -7
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GT9505
reviewed
Mar 7, 2022
GT9505
reviewed
Mar 7, 2022
| @@ -9,7 +9,7 @@ | |||
| norm_cfg=dict(requires_grad=False), | |||
| style='caffe', | |||
| init_cfg=dict( | |||
| type='Pretrained', checkpoint='torchvision://resnet101')), | |||
| type='Pretrained', checkpoint='torchvision://resnet50')), | |||
There was a problem hiding this comment.
Do you need to load the pretrain weights of coco?
| @@ -0,0 +1,263 @@ | |||
| # Copyright (c) OpenMMLab. All rights reserved. | |||
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The codes in this file are hard to understand.
Suggest to add many comments to explain the motivation.
added 2 commits
March 7, 2022 17:12
GT9505
reviewed
Mar 7, 2022
|
The PR can be merged after adding more comments in the code |
…_r50_fpn_4e_mot17-private-half.py
…to qdtrack_faster-rcnn_r50_fpn_4e_crowdhuman_mot17-private-half.py
GT9505
approved these changes
Mar 7, 2022
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