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IDDM v1.1.7

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@chairc chairc released this 14 Nov 10:45
· 22 commits to main since this release
d1d80b7

What's Changed

  • Dev: Modify the README in datasets; Add the Chinese README in datasets. by @chairc in #88
  • Add: Add the NaN check method. by @chairc in #89
  • Add date, author and site description; Update require packages. by @chairc in #90
  • Remove two imshow() duplicate functions; Remove magic transforms and eval function; Replace images.shape[0] to batch_size. by @chairc in #91
  • Add banner and version information. by @chairc in #93
  • About magic value and pytorch (version >=2.0.0) notice. by @chairc in #95
  • Fix: Fix the reference parameter name error by @bestl1fe in #96
  • Dev: Major Update in 20241112. About argparse, fix error, decouple generate.py and image processing method. by @chairc in #98
  • Add: Added deploy support (server and socket). by @chairc in #99
  • Add: Added deploy README. by @chairc in #100
  • Dev: Pre-release preparation. by @chairc in #102

Full Changelog: v1.1.6...v1.1.7

Weights

Note: The weight include model, ema_model and optimizer.

  • celebahq-120-weight.pt: Trained on a dataset of 30,000 people face, and image size is 120 (celebahq-120-weight.pt)
  • animate-ganyu-120-weight.pt: Trained on a dataset of 500 animate ganyu face, and image size is 120 (animate-ganyu-120-weight.pt)
  • neu-cls-64-weight.pt: Trained on a dataset of 7,226 defect, and image size is 64 (neu-cls-64-weight.pt)
  • neu-120-weight.pt: Trained on a dataset of 1,800 defect, and image size is 120 (neu-120-weight.pt)
  • cifar-64-weight.pt: Trained on a dataset of 60,000 images, and image size is 64 (cifar10-64-weight.pt)
  • animate-face-64-weight.pt: Trained on a dataset of 63,565 animate face, and image size is 64 (animate-face-64-weight.pt)