Use C3 following the model specification of YOLOv5 #343
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@@ Coverage Diff @@
## main #343 +/- ##
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+ Coverage 95.46% 95.53% +0.06%
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Files 11 11
Lines 771 783 +12
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+ Hits 736 748 +12
Misses 35 35
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zhiqwang
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Mar 8, 2022
* Use C3 following the model specification of YOLOv5 * Add unittest for yolov5_mobilenet_v3_small_fpn * Add type annotations * Minor fix for weights_name
zhiqwang
added a commit
that referenced
this pull request
Mar 8, 2022
* Use C3 following the model specification of YOLOv5 * Add unittest for yolov5_mobilenet_v3_small_fpn * Add type annotations * Minor fix for weights_name
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The FPN implemented by TorchVision is a bit different from the PAN layers used by YOLOv5, it will result in 4 layers of output in head with C3 (YOLOv5 only has 3 layers as a comparison), maybe we can rewrite the BackboneWithFPN in the future following the YOLOv5's PAN.