Kornia Versions Save

:rocket: [0.6.5] - 2022-05-16

:new: New Features

• Create kornia.io and implement load_image with rust (#1701)
• Implement diamond_square and plasma augmentations: RandomPlasmaBrightness, RandomPlasmaContrast, RandomPlasmaShadow (#1700)
• Added RandomRGBShift augmentation (#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)

:lady_beetle: 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

:zap: 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)

:woman_technologist: :man_technologist: We would like to thank all contributors for this new release ! @Jonas1312 @nitaifingerhut @qwertyforce @ashnair1 @ducha-aiki @z0gSh1u @simon-schaefer @shijianjian @edgarriba @HJoonKwon @ChristophReich1996 @Tanmay06 @dobosevych @miquelmarti @Oleksandra2020

If we forgot someone let us know :sunglasses:

:rocket: [0.6.4] - 2022-03-21

:new: 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)

:lady_beetle: 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)

:exclamation: Changes

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

:zap: 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)

:woman_technologist: :man_technologist: We would like to thank all contributors for this new release ! @ducha-aiki @edgarriba @shijianjian @juliendenize @ashnair1 @KhaledSharif @Parskatt @shazhou2015 @JoanFM @nrupatunga @kristijanbartol @miquelmarti @riegerfr @nitaifingerhut @dichen-cd @lamhoangtung @hasibzunair @wendy-xiaozong @rsomani95 @huuquan1994 @twsl

If we forgot someone let us know :sunglasses:

:rocket: [0.6.3] - 2022-01-30

:new: 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)

:lady_beetle: 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)

:exclamation: Changes

• Restructure augmentation package (#1515)

:zap: 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)

:woman_technologist: :man_technologist: We would like to thank all contributors for this new release ! @ducha-aiki @edgarriba @shijianjian @julien-blanchon @lferraz @miquelmarti @twsl @nitaifingerhut @eungbean @aaroswings @huuquan1994 @rsomani95

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:rocket: [0.6.2] - 2021-12-03

:new: New Features

• Add face detection API (#1469)
• Add ObjectDetectorTrainer (#1414)
• Add container operation weights and OneOf documentation (#1443)
• Add oriented contraint 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)

:lady_beetle: Bug fixes

• fix catch type for torch.svd error (#1431)
• Fix for nested AugmentationSequential containers (#1467)
• Use common bbox format xywh (#1472)

:exclamation: Changes

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

:zap: 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)

:woman_technologist: :man_technologist: We would like to thank all contributors for this new release ! @ducha-aiki @edgarriba @chinhsuanwu @chinhsuanwu @dobosevych @shijianjian @rvorias @rvorias @fmiotello @hal-314 @trysomeway @miquelmarti @calmdown13 @twsl Abdelrhman-Hosny

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:rocket: Release Note (0.6.1)

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

:rocket: Release Note (0.6.0)

Release time: 2021-10-22

:new: 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)

:exclamation: Changes

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

:zap: 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)

:lady_beetle: 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)

:woman_technologist: :man_technologist: We would like to thank all contributors for this new release ! @AK391 @cclauss @edgarriba @ducha-aiki @isaaccorley @justanhduc @jatentaki @shijianjian @shiyangc-intusurg @SravanChittupalli @thatbrguy @nvshubhsharma @PWhiddy @oskarflordal @tacoelho @YanivHollander @jhacsonmeza

If we forgot someone let us know :sunglasses:

:rocket: Release Note (0.5.11)

Release time: 2021-09-19

:new: 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)

:zap: 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)

:lady_beetle: 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)

:woman_technologist: :man_technologist: We would like to thank all contributors for this new release ! @Abdelrhman-Hosny @ducha-aiki @edgarriba @EStorm21 @lyhyl @shijianjian @thatbrguy

If we forgot someone let us know :sunglasses:

[0.5.10] - 2021-08-30

Added

• Added Basic pool request for DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. (#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)

Contributors

@cclauss @ducha-aiki @edgarriba @MichaelMonashev @rozumden @shijianjian @thatbrguy

If we forgot someone let us know :sunglasses:

Kornia release

[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)

Contributors

@bkntr @bsuleymanov @ducha-aiki @edgarriba @hal-314 @kingsj0405 @shijianjian

If we forgot someone let us know :sunglasses:

Kornia 0.5.7 release

[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)

Contributors

@bsuleymanov @dhernandez0 @ducha-aiki

If we forgot someone let us know :sunglasses: