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[feat] Add new pytorch db_resnet50 checkpoint #1840

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This PR:

  • Add new db_resnet50 checkpoint (epoch 38)

@felixdittrich92 felixdittrich92 added topic: documentation Improvements or additions to documentation type: enhancement Improvement module: models Related to doctr.models benchmark This issue reports a benchmark framework: pytorch Related to PyTorch backend topic: text detection Related to the task of text detection ext: docs Related to docs folder labels Jan 15, 2025
@felixdittrich92 felixdittrich92 added this to the 0.11.0 milestone Jan 15, 2025
@felixdittrich92 felixdittrich92 self-assigned this Jan 15, 2025
@@ -28,7 +28,7 @@
"input_shape": (3, 1024, 1024),
"mean": (0.798, 0.785, 0.772),
"std": (0.264, 0.2749, 0.287),
"url": "https://doctr-static.mindee.com/models?id=v0.7.0/db_resnet50-79bd7d70.pt&src=0",
"url": "https://github.com/mindee/doctr/releases/download/v0.10.0/db_resnet50-a5b57aac.pt",
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@odulcy-mindee url update :D

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codecov bot commented Jan 15, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 96.63%. Comparing base (b0d2728) to head (cbe7cf8).

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1840      +/-   ##
==========================================
+ Coverage   96.58%   96.63%   +0.05%     
==========================================
  Files         165      165              
  Lines        7940     7940              
==========================================
+ Hits         7669     7673       +4     
+ Misses        271      267       -4     
Flag Coverage Δ
unittests 96.63% <ø> (+0.05%) ⬆️

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@felixdittrich92 felixdittrich92 removed the request for review from odulcy-mindee January 15, 2025 08:33
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Temp revert - after further testing some results are worse than the current

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benchmark This issue reports a benchmark ext: docs Related to docs folder framework: pytorch Related to PyTorch backend module: models Related to doctr.models topic: documentation Improvements or additions to documentation topic: text detection Related to the task of text detection type: enhancement Improvement
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