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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.

🚀 [0.6.11] - 2022-03-28

🆕 New Features

🚀 [0.6.10] - 2022-02-17

🆕 New Features

  • add depth_from_disparity function by @pri1311 in kornia#2096
  • Add Vector2 by @cjpurackal in kornia#2134
  • Add 3D-SSIM loss by @pri1311 in kornia#2130
  • [Feat] Initiate AutoAugment modules by @shijianjian in kornia#2181
  • Add Common Regression Losses by @ChristophReich1996 in kornia#2109
  • Add integral_image and integral_tensor by @AnimeshMaheshwari22 in kornia#1779

🐞 Bug fixes

  • Fix AugmentationSequential to return list of boxes by @johnnv1 in kornia#2114
  • Fix support for (*, 3, H, W) tensors in yuv by @ChristophReich1996 in kornia#2108
  • fix TensorWrapper serialization by @edgarriba in kornia#2132
  • Split the half precision tests workflow by @johnnv1 in kornia#2118
  • Fixed DoG accuracy, add upscale_double by @vicsyl in kornia#2105
  • Added Face detection Interactive demo by @jeffin07 in kornia#2142
  • Bump pytest from 7.2.0 to 7.2.1 by @dependabot in kornia#2148
  • add SSIM3D and depth_from_disparity to docs by @pri1311 in kornia#2150
  • Explicitly cast output to input type to avoid type mismatch errors by @JanSellner in kornia#1842
  • Fix params computation for LongestMaxSize and SmallestMaxSize by @johnnv1 in kornia#2131
  • torch_version_geq -> torch_version_ge according to todo by @ducha-aiki in kornia#2157
  • fix doc build - sphinx-autodoc-typehints==1.21.3 by @johnnv1 in kornia#2159
  • ScaleSpaceDetector -> Fast ScaleSpaceDetector by @ducha-aiki in kornia#2154
  • Improve losses tests, add TestSSIM3d, and BaseTester.gradcheck by @johnnv1 in kornia#2152
  • modify comments of rgb and lab conversion by @gravitychen in kornia#2153
  • add repr and getitem to vector by @cjpurackal in kornia#2163
  • Fix adalam-config by @ducha-aiki in kornia#2170
  • Fix docs of boxes, MultiResolutionDetector. apply colormap, AugmentationSequential by @johnnv1 in kornia#2167
  • add exception test for se2 + small bug fix by @cjpurackal in kornia#2160
  • Fix MobileViT by @chinhsuanwu in kornia#2172
  • Fix output types of augmentations on autocast regions by @johnnv1 in kornia#2168
  • Fix planckian jitter for cuda by @johnnv1 in kornia#2177
  • Fix: resample method None default missing for inverse masks by @miquelmarti in kornia#2185
  • Move padding_size to device in pad for boxes by @miquelmarti in kornia#2197
  • Return boxes tensor directly if no boxes by @miquelmarti in kornia#2196
  • Make value an attribute of RandomErasing instances again by @miquelmarti in kornia#2195
  • TensorWrapper bug fix + add radd, rmul, rsub by @cjpurackal in kornia#2190
  • Fix/repr bug by @neyazbasheer in kornia#2207
  • Replace assert_allclose by assert_close by @johnnv1 in kornia#2210
  • Fix random crop for keypoints on CUDA device by @johnnv1 in kornia#2209
  • Remove outdated augmentation example by @johnnv1 in kornia#2206
  • Fix CUDA failing tests of same device on Augmentations by @johnnv1 in kornia#2215

⚡ Improvements

  • add PadTo to docs by @johnnv1 in kornia#2122
  • add colormap and apply_ColorMap for integer tensor by @johnnv1 in kornia#1996
  • Fix numerical stability for binary focal loss by @zimka in kornia#2125
  • Add RandomGaussianBlur with instance-level gaussian kernel generation by @juliendenize in kornia#1663
  • add transparent pad to CenterCrop docs example by @johnnv1 in kornia#2124
  • Ensure support to Python 3.9 and 3.10 by @johnnv1 in kornia#2025
  • improve TestUpscaleDouble by @johnnv1 in kornia#2147
  • DataKey: add 'image' as alias of 'input' by @adamjstewart in kornia#2193
  • add fail-fast:false as default on tests workflow by @johnnv1 in kornia#2146 [enhance] improve flipping and cropping speed by @shijianjian in kornia#2179
  • Replace jit test method in favor of dynamo in BaseTester by @johnnv1 in kornia#2120
  • Small refactor on filters module: Dropping JIT support by @johnnv1 in kornia#2187
  • Augmentation Base Refactor by @shijianjian in kornia#2117

Deprecation

  • move kornia check api to kornia.core.check by @edgarriba in kornia#2143
  • Remove py 3.7 for nightly CI by @johnnv1 in kornia#2204

🚀 [0.6.9] - 2022-12-21

🆕 New Features

  • Feat/randombrightness contrast saturation hue by @duc12111 in kornia#1955
  • Liegroups by @edgarriba in kornia#1887
  • Add sepia by @johnnv1 in kornia#1947
  • Normalize with intrinsics by @ducha-aiki in kornia#1727
  • [feat] liegroup so2 by @cjpurackal in kornia#1973
  • [feat] adjoint for se2, so2 by @cjpurackal in kornia#2101
  • add trans, trans_x, trans_y + minor changes se2 by @cjpurackal in kornia#2103
  • Motion blur by @nitaifingerhut in kornia#2075
  • Add Hyperplane and Ray API by @edgarriba in kornia#1963

🐞 Bug fixes

  • Quaternion pow bug fix (div by zero) by @cjpurackal in kornia#1946
  • fix cuda init by @ducha-aiki in kornia#1953
  • Documentation: proper Sørensen–Dice coefficient by @sergiev in kornia#1961
  • quaternion, so3 and se3 as non batched by @edgarriba in kornia#1997
  • Bump pytest-mypy from 0.10.0 to 0.10.1 by @dependabot in kornia#2005
  • Join the gh-actions for docs by @johnnv1 in kornia#2003
  • [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in kornia#2010
  • So2 bug fix by @cjpurackal in kornia#2015
  • Fix type annotation for torch 1.13.0 by @johnnv1 in kornia#2023
  • Fix an error in match_smnn by @anstadnik in kornia#2020
  • Set equal_nan to False in assert_close by @edgarriba in kornia#1986

⚡ Improvements

  • minor improvements to So3 by @cjpurackal in kornia#1966
  • Add TensorWrapper, Vector3, Scalar and improvements in fit_plane by @edgarriba in https://github.com/kornia/kornia/pull/
  • [feat] add vee to so2, se2 by @cjpurackal in kornia#2091
  • Remove deprecated code in kornia.augmentation by @johnnv1 in kornia#2052
  • [feat] Implement se2 by @cjpurackal in kornia#2019
  • add quaternion to euler conversion by @edgarriba in kornia#1994
  • use resample instead of mode argument in RandomElasticTransform per default by @JanSellner in kornia#2017
  • replacing .repeat(...) with .expand(...) by @nitaifingerhut in kornia#2059
  • making RandomGaussianNoise play nicely on GPU by @nitaifingerhut in kornia#2050
  • None for align_corners arg of resize op with nearest mode by @miquelmarti in kornia#2049
  • facedetector now returns a list of tensors containing the boxes x image by @lferraz in kornia#2034
  • add random for liegroups by @cjpurackal in kornia#2041
  • add rotation and translation classmethods in se3 and so3 by @edgarriba in kornia#2001
  • implement kornia.geometry.linalg.euclidean_distance by @edgarriba in kornia#2000

Deprecation

  • Drop pytorch 1.8 (LTS) support by @johnnv1 in kornia#2024

🚀 [0.6.8] - 2022-10-13

🆕 New Features

  • NeRF Implementation by @YanivHollander in kornia#1911
  • [Feat] Added AugmentationDispatcher by @shijianjian in kornia#1914
  • Add EdgeDetection api by @edgarriba in kornia#1483
  • [feat] slerp implementation for Quaternion by @cjpurackal in kornia#1931
  • add laplacian pyramid by @lafith in kornia#1816
  • Added homography from line segment correspondences by @ducha-aiki in kornia#1851
  • [feat] Added Jigsaw Augmentation by @shijianjian in kornia#1852

🐞 Bug fixes

  • Fix svdvals usage by @ducha-aiki in kornia#1926
  • fix shift_rgb stack dimension by @nmichlo in kornia#1930
  • Update kernels.py by @farhankhot in kornia#1940
  • Quaternion.norm bug fix by @cjpurackal in kornia#1935
  • Fix quaternion doctests by @edgarriba in kornia#1943
  • Remove unnecessary CI jobs by @johnnv1 in kornia#1933
  • fix cuda tests failing by @ducha-aiki in kornia#1941
  • No crash in local feature matching if empty tensor output by @ducha-aiki in kornia#1890

⚡ Improvements

  • RANSAC improvements by @ducha-aiki in kornia#1435
  • Make AdaLAM output match confidence by @ducha-aiki in kornia#1862
  • Enlargen LoFTR positional encoding map if large images are input by @georg-bn in kornia#1853

🚀 [0.6.7] - 2022-08-30

🆕 New Features

🐞 Bug fixes

  • fix tests float16 module losses by @MrShevan in kornia#1809

⚡ Improvements

  • Allowing more than 3/4 dims for total_variation + adding reduction by @nitaifingerhut in kornia#1815

🚀 [0.6.6] - - 2022-07-16

🆕 New Features

  • Add ParametrizedLine and fit_line by @edgarriba in kornia#1794
  • Implement project and unproject in PinholeCamera by @YanivHollander in kornia#1729
  • adding rgb_to_y by @nitaifingerhut in kornia#1734
  • add KORNIA_CHECK_SAME_DEVICES by @MrShevan in kornia#1788

Deprecation

  • deprecate filter2D filter3D api by @edgarriba in kornia#1725

🐞 Bug fixes

  • fixes for half precision in imgwarp by @edgarriba in kornia#1723
  • Fix transforms for empty boxes and keypoints inputs by @hal-314 in kornia#1741
  • fixing doctest in pinhole by @edgarriba in kornia#1743
  • Fix/crop transforms by @hal-314 in kornia#1739
  • Fix Boxes.from_tensor(boxes, mode="vertices") by @hal-314 in kornia#1740
  • fix typing callable in load storage by @edgarriba in kornia#1768
  • Fix bug preventing sample wise augmentations by @ashnair1 in kornia#1761
  • Refactor and add tests in get_perspective_transform by @edgarriba in kornia#1767

🚀 [0.6.5] - 2022-05-16

🆕 New Features

  • Create kornia.io and implement load_image with rust (#1701)
  • Implement diamond_square and plasma augmentations: RandomPlasmaBrightness, RandomPlasmaContrast, RandomPlasmaShadow (#1700)
  • Added RandomRGBShift augmentations (#1694)
  • Added STE gradient estimator (#1666)
  • More epipolar geometry metrics (+linalg utility) (#1674)
  • Add Lovasz-Hinge/Softmax losses (#1682)
  • Add adjust_sigmoid and adjust_log initial implementation (#1685)
  • Added distribution mapper (#1667)
  • pos_weight param to focal loss (#1744)

🐞 Bug fixes

  • Fixes filter2d's output shape shrink when padding='same' (#1661)
  • fix: added eps in geometry/rotmat_to_quaternion (#1665)
  • [fix] receive num_features as an arg to KeyNetDetector constructor (#1686

⚡ Improvements

  • Add reduction option to MS_SSIMLoss (#1655)
  • Making epipolar metrics work with volumetric tensors (#1656)
  • Add get_safe_device util (#1662)
  • Added antialiasing option to Resize augmentation (#1687)
  • Use nearest neighbour interpolation for masks (#1630)
  • grayscale to rgb for torch.uint8 (#1705)
  • Add KORNIA_CHECK_SAME_DEVICES (#1775)

🚀 [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

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

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)