Onnx upsample #100
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Onnx upsample #100
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@@ Coverage Diff @@
## master #100 +/- ##
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- Coverage 81.97% 81.95% -0.03%
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Files 76 76
Lines 3467 3485 +18
Branches 529 537 +8
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+ Hits 2842 2856 +14
- Misses 522 524 +2
- Partials 103 105 +2
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xvjiarui
reviewed
Aug 28, 2020
mmseg/ops/wrappers.py
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| class Upsample(nn.Module): | ||
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| def __init__(self, scale_factor, mode, align_corners): |
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We may also support size.
hellock
approved these changes
Sep 3, 2020
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tmp.zip |
bowenroom
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to bowenroom/mmsegmentation
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Feb 25, 2022
* add customized Upsample which can convert to ONNX * support multiply decode head for hrnet * support size for Upsample
aravind-h-v
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Mar 27, 2023
* initial commit * quick fix
wjkim81
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to wjkim81/mmsegmentation
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Dec 3, 2023
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As ONNX does not support using nn.Upsample, we have to use our customized Upsample Module which is a simple wrapper of F.interpolate.
Besides, pytorch2onnx.py does not support models with multiple decode heads (like ocrnet), we support these models in this version.
Fixed #97