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qubvel-org / segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
https://smp.readthedocs.io/
MIT License
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Bump timm from 0.9.7 to 1.0.9 #916

Open dependabot[bot] opened 3 weeks ago

dependabot[bot] commented 3 weeks ago

Bumps timm from 0.9.7 to 1.0.9.

Release notes

Sourced from timm's releases.

Release v1.0.9

Aug 21, 2024

  • Updated SBB ViT models trained on ImageNet-12k and fine-tuned on ImageNet-1k, challenging quite a number of much larger, slower models
model top1 top5 param_count img_size
vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k 87.438 98.256 64.11 384
vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k 86.608 97.934 64.11 256
vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k 86.594 98.02 60.4 384
vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k 85.734 97.61 60.4 256
  • MobileNet-V1 1.25, EfficientNet-B1, & ResNet50-D weights w/ MNV4 baseline challenge recipe
model top1 top5 param_count img_size
resnet50d.ra4_e3600_r224_in1k 81.838 95.922 25.58 288
efficientnet_b1.ra4_e3600_r240_in1k 81.440 95.700 7.79 288
resnet50d.ra4_e3600_r224_in1k 80.952 95.384 25.58 224
efficientnet_b1.ra4_e3600_r240_in1k 80.406 95.152 7.79 240
mobilenetv1_125.ra4_e3600_r224_in1k 77.600 93.804 6.27 256
mobilenetv1_125.ra4_e3600_r224_in1k 76.924 93.234 6.27 224

  • Add SAM2 (HieraDet) backbone arch & weight loading support

  • Add Hiera Small weights trained w/ abswin pos embed on in12k & fine-tuned on 1k

model top1 top5 param_count
hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k 84.912 97.260 35.01
hiera_small_abswin_256.sbb2_pd_e200_in12k_ft_in1k 84.560 97.106 35.01

Aug 8, 2024

Release v1.0.8

July 28, 2024

  • Add mobilenet_edgetpu_v2_m weights w/ ra4 mnv4-small based recipe. 80.1% top-1 @ 224 and 80.7 @ 256.
  • Release 1.0.8

July 26, 2024

  • More MobileNet-v4 weights, ImageNet-12k pretrain w/ fine-tunes, and anti-aliased ConvLarge models
model top1 top1_err top5 top5_err param_count img_size
mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k 84.99 15.01 97.294 2.706 32.59 544
mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k 84.772 15.228 97.344 2.656 32.59 480
mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k 84.64 15.36 97.114 2.886 32.59 448
mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k 84.314 15.686 97.102 2.898 32.59 384
mobilenetv4_conv_aa_large.e600_r384_in1k 83.824 16.176 96.734 3.266 32.59 480

... (truncated)

Commits
  • 0727833 Version 1.0.9
  • 76b0e99 Placeholder for new mnv3 model
  • ed7aaf8 Merge pull request #2264 from huggingface/group_size_eff
  • bef0c12 Add re-run of imagenet val/ood test set results. Fixed wrong crop for models ...
  • 39e92f0 mobilenet_edgetpu can use group_size override, more consistency in arg wrap/s...
  • b9f020a Allow group_size override for more efficientnet and mobilenetv3 based models
  • 26ed96b Create UPGRADING.md
  • 29d69e8 Update README.md
  • 9f228b7 Update README.md
  • 00c5be7 Merge pull request #2258 from huggingface/sbb2_vit_hiera_weights
  • Additional commits viewable in compare view


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