Kornia

Latest version: v0.7.2

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0.5.10

Added
- Added Basic pool request for DeFMO. ([1135](https://github.com/kornia/kornia/pull/1135))
- Added homography error metrics, and improved find_homography_iter ([1222](https://github.com/kornia/kornia/pull/1222))

Fixed
- Fixed wrong param name ([1197](https://github.com/kornia/kornia/pull/1197))
- Fixed NotImplementedError for the rtvec ([1215)](https://github.com/kornia/kornia/pull/1215))
- Fixes warnings and add compatibility stub in torch solve ([1235](https://github.com/kornia/kornia/pull/1235))

Changed
- Ensure CenterCrop indices are integers ([1208](https://github.com/kornia/kornia/pull/1208))
- Added tests, fixed docstrings and made some other changes ([1211](https://github.com/kornia/kornia/pull/1211))
- Upgrade to modern Python syntax ([1213](https://github.com/kornia/kornia/pull/1213))
- Code health improvements [1199, 1200, 1198, 1202, 1203, 1205, 1208, 1210, 1214, 1220]
- Enable pyupgrade as pre-commit ([1221](https://github.com/kornia/kornia/pull/1221))
- Add bandit tool in the pre-commit ([1228](https://github.com/kornia/kornia/pull/1228))

0.5.8

Added
- Add the connected components labeling algorithm ([1184](https://github.com/kornia/kornia/pull/1184))

Fixed
- Partial fix for horizontal and vertical flips ([1166](https://github.com/kornia/kornia/pull/1166))
- Fix even kernel and add test ([1183](https://github.com/kornia/kornia/pull/1183))
- Fix wrong source points for RandomThinPlateSpline ([1187](https://github.com/kornia/kornia/pull/1187))
- Fix RandomElasticTransform ignores same_on_batch ([1189](https://github.com/kornia/kornia/pull/1189))
- Fixed bugs in patchsequential. Remove fill_diagonal operation for better ONNX support ([1178](https://github.com/kornia/kornia/pull/1178))

Changed
- Differentiable image histogram using kernel density estimation ([1172](https://github.com/kornia/kornia/pull/1172))

0.5.7

Added
- Grayscale to RGB image conversion. ([1162](https://github.com/kornia/kornia/pull/1162))
- Add keepdim param to tensor_to_image function. ([1168](https://github.com/kornia/kornia/pull/1168))

Fixed
- Fix checks on wrong tensor shape condition in depth.py ([1164](https://github.com/kornia/kornia/pull/1164))

0.5.6

Added
- Added mix augmentations in containers ([1139](https://github.com/kornia/kornia/pull/1139))

Fixed
- Fixed non-4-dim input error for sequential ([1146](https://github.com/kornia/kornia/pull/1146))

Changed
- Moving bbox-related functionality to bbox module ([1103](https://github.com/kornia/kornia/pull/1103))
- Optimized version of hls_to_rgb and rgb_to_hls ([1154](https://github.com/kornia/kornia/pull/1154))

Removed
- Remove numpy dependency ([1136](https://github.com/kornia/kornia/pull/1136))

0.5.5

Added
- Added Stereo camera class ([1102](https://github.com/kornia/kornia/pull/1102))
- Added auto-generated images in docs ([1105](https://github.com/kornia/kornia/pull/1105)) ([#1108](https://github.com/kornia/kornia/pull/1108)) ([#1127](https://github.com/kornia/kornia/pull/1127)) ([#1128](https://github.com/kornia/kornia/pull/1128)) ([#1129](https://github.com/kornia/kornia/pull/1129)) ([#1131](https://github.com/kornia/kornia/pull/1131))
- Added chinese version README ([1112](https://github.com/kornia/kornia/pull/1112))
- Added random_apply to augmentaton containers ([1125](https://github.com/kornia/kornia/pull/1125))

Changed
- Change GaussianBlur to RandomGaussianBlur ([1118](https://github.com/kornia/kornia/pull/1118))
- Update ci with pytorch 1.9.0 ([1120](https://github.com/kornia/kornia/pull/1120))
- Changed option for mean and std to be tuples in normalization ([987](https://github.com/kornia/kornia/pull/987))
- Adopt torch.testing.assert_close ([1031](https://github.com/kornia/kornia/pull/1031))

Removed
- Remove numpy import ([1116](https://github.com/kornia/kornia/pull/1116))

0.5.4

Added
- Add Canny edge detection ([1020](https://github.com/kornia/kornia/pull/1020))
- Added Batched forward function ([1058](https://github.com/kornia/kornia/pull/1058))
- Added denormalize homography function [(1061](https://github.com/kornia/kornia/pull/1061))
- Added more augmentations containers ([1014](https://github.com/kornia/kornia/pull/1014))
- Added calibration module and Undistort 2D points function ([1026](https://github.com/kornia/kornia/pull/1026))
- Added patch augmentation container ([1095](https://github.com/kornia/kornia/pull/1095))

Fixed
- Remove lena ([1059](https://github.com/kornia/kornia/pull/1059)) :)

Changed
- Resize regardless of number of dims, considering the last two dims as image ([1047](https://github.com/kornia/kornia/pull/1047))
- Raise error if converting to unit8 image to gray with float weights ([1057](https://github.com/kornia/kornia/pull/1057))
- Filter 2D->2d, 3D->3d ([1069](https://github.com/kornia/kornia/pull/1069))
- Removed augmentation functional module. ([1067](https://github.com/kornia/kornia/pull/1067))
- Make Morphology compatible with both OpenCV and Scipy ([1084](https://github.com/kornia/kornia/pull/1084))

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