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YOLOv5 Segmentation Dataloader Updates (#2188)

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* Update C3 module

* Update C3 module

* Update C3 module

* Update C3 module

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* update datasets

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* update attempt_downlaod()

* merge

* merge

* update

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* parameterize eps

* comments

* gs-multiple

* update

* max_nms implemented

* Create one_cycle() function

* update

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* GitHub API rate limit fix

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* ComputeLoss

* ComputeLoss

* ComputeLoss

* ComputeLoss

* ComputeLoss

* ComputeLoss

* ComputeLoss

* ComputeLoss

* ComputeLoss

* ComputeLoss

* ComputeLoss

* astuple

* epochs

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* ComputeLoss()

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* merge

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* commit=tag == tags[-1]

* Update cudnn.benchmark

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* mosaic9

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* institute cache versioning

* only display on existing cache

* reverse cache exists booleans
This commit is contained in:
Glenn Jocher authored and GitHub committed 2021-02-11 21:22:45 -08:00
1 parent 404749a33c
commit bdd88e1ed7
4 files changed
+110 -58
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utils/loss.py
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@@ -105,7 +105,7 @@ class ComputeLoss:
BCEcls, BCEobj = FocalLoss(BCEcls, g), FocalLoss(BCEobj, g)
det = model.module.model[-1] if is_parallel(model) else model.model[-1] # Detect() module
self.balance = {3: [3.67, 1.0, 0.43], 4: [4.0, 1.0, 0.25, 0.06], 5: [4.0, 1.0, 0.25, 0.06, .02]}[det.nl]
self.balance = {3: [4.0, 1.0, 0.4], 4: [4.0, 1.0, 0.25, 0.06], 5: [4.0, 1.0, 0.25, 0.06, .02]}[det.nl]
self.ssi = (det.stride == 16).nonzero(as_tuple=False).item() # stride 16 index
self.BCEcls, self.BCEobj, self.gr, self.hyp, self.autobalance = BCEcls, BCEobj, model.gr, h, autobalance
for k in 'na', 'nc', 'nl', 'anchors':