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feat: Improved YOLO concatdownsample layer's efficiency #48

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merged 3 commits into from
Jun 26, 2020
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@frgfm frgfm commented Jun 25, 2020

This PR improves the concatenated downsampling operation of YOLO architectures by:

  • discarding the channel order and switching to torch.cat to increase inference speed
  • updating unittest
  • updating default object detection argument

@frgfm frgfm added this to the 0.1.2 milestone Jun 25, 2020
@frgfm frgfm self-assigned this Jun 25, 2020
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codecov bot commented Jun 25, 2020

Codecov Report

Merging #48 into master will decrease coverage by 0.02%.
The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #48      +/-   ##
==========================================
- Coverage   85.36%   85.33%   -0.03%     
==========================================
  Files          29       29              
  Lines        1524     1521       -3     
==========================================
- Hits         1301     1298       -3     
  Misses        223      223              
Impacted Files Coverage Δ
holocron/nn/functional.py 94.79% <100.00%> (-0.16%) ⬇️
holocron/nn/modules/conv.py 100.00% <100.00%> (ø)

@frgfm frgfm merged commit 880489c into master Jun 26, 2020
@frgfm frgfm deleted the yolo-optim branch June 26, 2020 10:15
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