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Published July 27, 2022 | Version v0.6.7
Software Open

rwightman/pytorch-image-models: v0.6.7 Release

  • 1. Weights & Biases
  • 2. independent
  • 3. Technical University of Darmstadt
  • 4. @huggingface
  • 5. Stony Brook Medicine
  • 6. MIT
  • 7. Kaggle Competition Master
  • 8. @toss
  • 9. Neuro Event Labs Oy
  • 10. Ajou University
  • 11. Indie developer
  • 12. University of Bern
  • 13. @NVIDIA
  • 14. MarkAny
  • 15. Mobility Technologies Co., Ltd.
  • 16. Xiamen University
  • 17. LG AI Research

Description

Minor bug fixes and a few more weights since 0.6.5

  • A few more weights & model defs added:
    • darknetaa53 - 79.8 @ 256, 80.5 @ 288
    • convnext_nano - 80.8 @ 224, 81.5 @ 288
    • cs3sedarknet_l - 81.2 @ 256, 81.8 @ 288
    • cs3darknet_x - 81.8 @ 256, 82.2 @ 288
    • cs3sedarknet_x - 82.2 @ 256, 82.7 @ 288
    • cs3edgenet_x - 82.2 @ 256, 82.7 @ 288
    • cs3se_edgenet_x - 82.8 @ 256, 83.5 @ 320
  • cs3* weights above all trained on TPU w/ bits_and_tpu branch. Thanks to TRC program!
  • Add output_stride=8 and 16 support to ConvNeXt (dilation)
  • deit3 models not being able to resize pos_emb fixed

Files

rwightman/pytorch-image-models-v0.6.7.zip

Files (1.3 MB)

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