CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

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🚀 [0.6.4] - 2022-03-19

🆕 New Features

• Adds MS-SSIMLoss reconstruction loss function (#1551)
• Added HyNet descriptor (#1573)
• Add KeyNet detector (#1574)
• Add RandomPlanckianJitter in color augmentations (#1607)
• Add Jina AI QAbot to Kornia documentation (#1628)
• Add draw_convex_polygon (#1636)

🐞 Bug fixes

• RandomCrop fix and improvement (#1571)
• Fix draw_line produce wrong output for coordinates larger than uint8
• Fix mask bug for loftr (#1580)
• Fix gradient bug for distance_transform (#1584)
• Fix translation sampling in AffineGenerator3D (#1581)
• Fix AugmentationSequential bbox keypoints transformation fix (#1570)
• Fix CombineTensorPatches (#1558)
• Fix overblur in AA (#1612)

❗ Changes

• Deprecated return_transform, enabled 3D augmentations in AugmentionSequential (#1590)

⚡ Improvements

• Making compute_correspond_epilines work with fundamental and point of volumetric tensor (#1585)
• Update batch shape when augmentations change size of image (#1609)
• Remap accepts arbitrary grid size (#1617)
• Rename variables named 'input' to 'sample' (in tests). (#1614)
• Remove half log2 in extract_patches (#1616)
• Add orientation-preserving option for AffNet and make it default (#1620)
• Add option for sampling_method in 2d perspective transform generation (#1591) (#1592)
• Fix adjust brightness (#1586)
• Added default params for laf construction from xy and new tensor shape check (#1633)
• Make nms2d jittable (#1637)
• Add fn to automatically compute padding (#1634)
• Add pillow_like option for ColorJitter to match torchvision. (#1611)

🚀 [0.6.3] - 2022-01-30

🆕 New Features

• Update CI to pytorch 1.10.1 (#1518)
• Added Hanning kernel, prepare for KCF tracking (#1519)
• Add distance transform implementation (#1490)
• Add Resize augmentation module (#1545)

🐞 Bug fixes

• Precompute padding parameters when RandomCrop aug in container (#1494)
• Padding error with RandomCrop #1520
• Fix correct shape after cropping when forwarding parameters (#1533)
• Fixed #1534 nested augmentation sequential bug (#1536)
• Fixes to device in augmentations (#1546)
• Bugfix for larger MotionBlur kernel size ranges (#1543)
• Fix RandomErasing applied to mask keys (#1541)

❗ Changes

• Restructure augmentation package (#1515)

⚡ Improvements

• Add missing keepdims with fixed type (#1488)
• Allow to pass a second K to distort and undistort points (#1506)
• Augmentation Sequential with a list of bboxes as a batch (#1497)
• Adde Devcontainer for development (#1515)
• Improve the histogram_matching function (#1532)

🚀 [0.6.2] - 2021-12-03

🆕 New Features

• Add face detection API (#1469)
• Add ObjectDetectorTrainer (#1414)
• Add container operation weights and OneOf documentation (#1443)
• Add oriented constraint check to Homography RANSAC (#1453)
• Add background color selection in warp_perspective (#1452)
• Add draw_line image utility (#1456)
• Add Bounding Boxes API (#1304)
• Add histogram_matching functionality (#1395)

🐞 Bug fixes

• fix catch type for torch.svd error (#1431)
• Fix for nested AugmentationSequential containers (#1467)
• Use common bbox format xywh (#1472)
• Fix motion blur kernel size bug for larger random generator ranges (#1540)

❗ Changes

• Add padding_mode for RandomElasticTransform augmentation (#1439)
• Expose inliers sum to HomographyTracker (#1463)

⚡ Improvements

• Switch to one-way error RANSAC for speed-up (#1454)
• Few improvements on homography tracking (#1434)
• Enable all bandit tests, add separate hook for tests (#1437)
• Merge homography_warp to warp_perspective (#1438)
• Random generator refactor (#1459)

🚀 [0.6.1] - 2021-10-22

🐞 Bug fixes

• Fixes PyPI tarball missing required files #1421
• hotfix: remove mutable object in constructor #1423

🚀 [0.6.0] - 2021-10-22

🆕 New Features

• Add Training API (#1307)
• Added combine patches (#1309)
• Add semantic segmentation trainer (#1323)
• Add vanilla LO-RANSAC (#1335)
• Add Lambda function module (#1346)
• Add support for YUV420 and YUV422 to complement current YUV444 (#1360)
• Add raw to rgb color conversion (#1380)
• Implement separable_filter2d (#1385)
• Add MobileViT to contrib (#1388)
• Add solve_pnp_dlt (#1349)
• Add function image_list_to_tensor to utils (#1393)
• Add undistort_image function (#1303)
• Create kormia.metrics submodule (#1325)
• Add Image Stitching API (#1358)
• Add Homography Tracker API (#1389)

❗ Changes

• Refactor library namespaces [pre-release][0.6-rc1] (#1412)
• deprecate 1.6/1.7 and add 1.9.1 (#1399)

⚡ Improvements

• Improve bbox_to_mask (#1351)
• Refactor unfold->conv for morphology backbone (#1107)
• Improve focal loss for numerical stability (#1362)
• Add more border_type options for filter2D (#1375)
• Replace deprecated torch.qr (#1376)
• Add special case hardcoded implementtion for local features speed up (#1387)
• Enable non/batched connected components (#1193)
• Remove warnings during testing (#1401)

🐞 Bug fixes

• Fix binary focal loss (#1313)
• Fix kornia.geometry.subpix.spatial_soft_argmax imports (#1318)
• Fixed a simple typo in init.py (#1319)
• Fix path to dev requirements file in a setup_dev_env.sh (#1324)
• Fix bug in create_meshgrid3d along depth (#1330)
• Fix anisotropic scale error (#1340)
• Fix rgb_to_hsv for onnx (#1329)
• Fixed useless return in ransac.py (#1352)
• Fixed classificationhead typo and leave out some of the guesswork (#1354)
• Fix clahe differentiability and tests (#1356)
• Fixes singular matrix inverse/solve for RANSAC and ConvQuad3d (#1408)
• Change intermediate datatype to fix imgwarp (#1413)

🚀 [0.5.11] - 2021-08-30

🆕 New Features

• Add Vision Transformer (ViT) (#1296)
• Add ImageRegistrator API (#1253)
• Add LoFTR inference (#1218)
• Added differentiable Hausdorff Distance (HD) loss (#1254)
• Add PadTo to kornia.augmentation (#1286)

⚡ Code refactor

• Return all learned modules by default in eval() mode (#1266)
• Enable ImageSequential and VideoSequential to AugmentationSequential (#1231)
• Specify that angles are in radians (#1287)
• Removed deprecated codes for v6.0 (#1281)

🐞 Bug fixes

• Fix save_pointcloud_ply fn counting point with inf coordinates (#1263)
• Fixes torch version parse and add temporal packaging dependency (#1284)
• Fix issue of image_histogram2d (#1295)

[0.5.10] - 2021-08-30

Added

• Added Basic pool request for DeFMO. (#1135)
• Added homography error metrics, and improved find_homography_iter (#1222)

Fixed

• Fixed wrong param name (#1197)
• Fixed NotImplementedError for the rtvec (#1215))
• Fixes warnings and add compatibility stub in torch solve (#1235)

Changed

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

[0.5.8] - 2021-08-06

Added

• Add the connected components labeling algorithm (#1184)

Fixed

• Partial fix for horizontal and vertical flips (#1166)
• Fix even kernel and add test (#1183)
• Fix wrong source points for RandomThinPlateSpline (#1187)
• Fix RandomElasticTransform ignores same_on_batch (#1189)
• Fixed bugs in patchsequential. Remove fill_diagonal operation for better ONNX support (#1178)

Changed

• Differentiable image histogram using kernel density estimation (#1172)

[0.5.7] - 2021-07-27

Added

• Grayscale to RGB image conversion. (#1162)
• Add keepdim param to tensor_to_image function. (#1168)

Fixed

• Fix checks on wrong tensor shape condition in depth.py (#1164)

[0.5.6] - 2021-07-12

Added

• Added mix augmentations in containers (#1139)

Fixed

• Fixed non-4-dim input error for sequential (#1146)

Changed

• Moving bbox-related functionality to bbox module (#1103)
• Optimized version of hls_to_rgb and rgb_to_hls (#1154)

Removed

• Remove numpy dependency (#1136)

[0.5.5] - 2021-06-26

Added

• Added Stereo camera class (#1102)
• Added auto-generated images in docs (#1105) (#1108) (#1127) (#1128) (#1129) (#1131)
• Added chinese version README (#1112)
• Added random_apply to augmentaton containers (#1125)

Changed

• Change GaussianBlur to RandomGaussianBlur (#1118)
• Update ci with pytorch 1.9.0 (#1120)
• Changed option for mean and std to be tuples in normalization (#987)
• Adopt torch.testing.assert_close (#1031)

Removed

• Remove numpy import (#1116)

[0.5.4] - 2021-06-11

Added

• Add Canny edge detection (#1020)
• Added Batched forward function (#1058)
• Added denormalize homography function (#1061)
• Added more augmentations containers (#1014)
• Added calibration module and Undistort 2D points function (#1026)
• Added patch augmentation container (#1095)

Fixed

• Remove lena (#1059) :)

Changed

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

[0.5.3] - 2021-05-29

Added

• Added inverse for augmentations (#1013)
• Add advanced augmentations: RandomFisheye, RandomElasticTransform, RandomThinPlateSpline, RandomBloxBlur (#1015

Fixed

• Correct Sobel test_noncontiguous. Nothing was tested before. (#1018)
• Fixing #795: find_homography_dlt_iterated sometimes fails (#1022)

Changed

• Refactorization of the morphology package (#1034)
• Optimised clipping in clahe and some other minor optimisation (#1035)

[0.5.2] - 2021-05-14

Added

• Added unsharp mask filtering (#1004)

Fixed

• Fixed angle axis to quaternion order bug (#926)
• Fixed type error for lab_to_rgb conversion when using coremltools. (#1002)

Changed

• Mask with unbatched motion from essential choose solution (#998)

[0.5.1] - 2021-04-30

Added

• Added dtype for create_mesh (#919)
• Added Hardnet8 (#955)
• Added normalize boolean for remap (#921)
• Added custom weights option for rgb2gray (#944)
• Added fp16 support (#963)
• Added ImageToTensor module and resize for non-batched images (#978)
• Add more augmentations (#960)
• Anti alias resize (#989)

Changed

• Improve kornia porphology (#965)
• Improve cuda ci workflow speed (#975)
• Refactor augmentation module (#948)
• Implement fast version of crop function in augmentations (#967)
• Implement missing jit ops in kornia.geometry.transform (#981)

Fixed

• Fixed RandomAffine translation range check (#917
• Fixed the issue of NaN gradients by adding epsilon in focal loss (#924)
• Allow crop size greater than input size. (#957)
• Fixed RandomCrop bug (#951)

Removed

• Deprecate some augmentation functionals (#943)

[0.4.1] - 2020-10-20

Added

• Update docs for get_affine_matrix2d and get_affine_matrix3d (#618)
• Added docs for solarize, posterize, sharpness, equalize (#623)
• Added tensor device conversion for solarize params (#624)
• Added rescale functional and transformation (#631)
• Added Mixup data augmentation (#609)
• Added equalize3d (#639)
• Added decompose 3x4projection matrix (#650)
• Added normalize_min_max functionality (#684)
• Added random equalize3d (#653)
• Added 3D motion blur (#713)
• Added 3D volumetric crop implementation (#689)
  • warp_affine3d
  • warp_perspective3d
  • get_perspective_transform3d
  • crop_by_boxes3d
  • warp_grid3d

Changed

• Replace convolution with unfold in contrib.extract_tensor_patches (#626)
• Updates Affine scale with non-isotropic values (#646)
• Enabled param p for each augmentation (#664)
• Enabled RandomResizedCrop batch mode when same_on_batch=False (#683)
• Increase speed of transform_points (#687)
• Improves find_homography_dlt performance improvement and weights params made optional (#690)
• Enable variable side resizing in kornia.resize (#628)
• Added Affine transformation as nn.Module (#630)
• Accelerate augmentations (#708)

Fixed

• Fixed error in normal_transform_pixel3d (#621)
• Fixed pipelining multiple augmentations return wrong transformation matrix (#645)(645)
• Fixed flipping returns wrong transformation matrices (#648)
• Fixed 3d augmentations return wrong transformation matrix (#665)
• Fix the SOSNet loading bug (#668)
• Fix/random perspective returns wrong transformation matrix (#667)
• Fixes Zca inverse transform (#695)
• Fixes Affine scale bug (#714)

Removed

• Removed warp_projective (#689)