kornia/kornia

28.7

Adjusted Score

28.7

Raw Score

100%

Time Factor

2026-07-14

Last Push

11.3K

Stars

Python

Language

178.8K

Lines of Code

817

Files

3.4K

Pattern Hits

2026-07-14

Scan Date

0.32

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 64HIGH 195MEDIUM 187LOW 2986

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 3432 distinct pattern matches across 16 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Unused Imports1083 hits · 892 pts

Severity	File	Line	Context
LOW	kornia/__init__.py	28	CODE
LOW	kornia/__init__.py	29	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	32	CODE
LOW	kornia/__init__.py	51	CODE
LOW	kornia/__init__.py	51	CODE
LOW	kornia/__init__.py	51	CODE
LOW	kornia/__init__.py	54	CODE
LOW	kornia/filters/kernels_geometry.py	18	CODE
LOW	kornia/filters/__init__.py	23	CODE
LOW	kornia/filters/__init__.py	25	CODE
LOW	kornia/filters/__init__.py	25	CODE
LOW	kornia/filters/__init__.py	25	CODE
LOW	kornia/filters/__init__.py	25	CODE
LOW	kornia/filters/__init__.py	26	CODE
LOW	kornia/filters/__init__.py	26	CODE
LOW	kornia/filters/__init__.py	27	CODE
LOW	kornia/filters/__init__.py	27	CODE
LOW	kornia/filters/__init__.py	27	CODE
LOW	kornia/filters/__init__.py	27	CODE
LOW	kornia/filters/__init__.py	27	CODE
LOW	kornia/filters/__init__.py	27	CODE
LOW	kornia/filters/__init__.py	35	CODE
LOW	kornia/filters/__init__.py	35	CODE
LOW	kornia/filters/__init__.py	36	CODE
LOW	kornia/filters/__init__.py	37	CODE
LOW	kornia/filters/__init__.py	37	CODE
LOW	kornia/filters/__init__.py	37	CODE
LOW	kornia/filters/__init__.py	37	CODE
LOW	kornia/filters/__init__.py	37	CODE
LOW	kornia/filters/__init__.py	37	CODE
LOW	kornia/filters/__init__.py	37	CODE
LOW	kornia/filters/__init__.py	37	CODE
LOW	kornia/filters/__init__.py	38	CODE
LOW	kornia/filters/__init__.py	38	CODE
LOW	kornia/filters/__init__.py	38	CODE
LOW	kornia/filters/__init__.py	39	CODE
LOW	kornia/filters/__init__.py	39	CODE
LOW	kornia/filters/__init__.py	40	CODE
LOW	kornia/filters/__init__.py	40	CODE
LOW	kornia/filters/__init__.py	41	CODE
LOW	kornia/filters/__init__.py	41	CODE
LOW	kornia/filters/__init__.py	41	CODE
LOW	kornia/filters/__init__.py	41	CODE
LOW	kornia/filters/__init__.py	41	CODE
LOW	kornia/filters/__init__.py	41	CODE
LOW	kornia/filters/__init__.py	41	CODE
LOW	kornia/filters/__init__.py	41	CODE
1023 more matches not shown…

Over-Commented Block799 hits · 796 pts

Severity	File	Line	Snippet	Context
LOW	conftest.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	pyproject.toml	141	# "FA", # flake8-future-annotations	COMMENT
LOW	pyproject.toml	381	invalid-return-type = "ignore"	COMMENT
LOW	kornia/config.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/constants.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/__init__.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/kernels_geometry.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/__init__.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/laplacian.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/guided.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/canny.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/in_range.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/sobel.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/dissolving.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/blur.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/motion.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/dexined.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/bilateral.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/kernels.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/median.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/otsu_thresholding.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/blur_pool.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/filter.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/unsharp.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/filters/gaussian.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/average_meter.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/ssim.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/endpoint_error.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/__init__.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/mean_iou.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/mean_average_precision.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/psnr.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/ssim3d.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/disparity.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/accuracy.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/metrics/confusion_matrix.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/hausdorff.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/focal.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/mutual_information.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/charbonnier.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/ssim.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/total_variation.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/geman_mcclure.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/ms_ssim.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/__init__.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/dice.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/tversky.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/cauchy.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/divergence.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/psnr.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/one_hot.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/ssim3d.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/lovasz_softmax.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/depth_smooth.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/lovasz_hinge.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/welsch.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/losses/_utils.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/transpiler/__init__.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/transpiler/transpiler.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
LOW	kornia/augmentation/__init__.py	1	# LICENSE HEADER MANAGED BY add-license-header	COMMENT
739 more matches not shown…

Hyper-Verbose Identifiers739 hits · 732 pts

Severity	File	Line	Snippet	Context
LOW	conftest.py	165	def pytest_collection_modifyitems(config, items):	CODE
LOW	conftest.py	432	def _is_subprocess_isolated_test(item) -> bool:	CODE
LOW	conftest.py	548	def skip_half_precision_on_cuda(request):	CODE
LOW⚡	kornia/__init__.py	124	def get_cuda_device_if_available(args: Any, *kwargs: Any) -> Any:	CODE
LOW⚡	kornia/__init__.py	130	def get_mps_device_if_available(args: Any, *kwargs: Any) -> Any:	CODE
LOW⚡	kornia/__init__.py	136	def get_cuda_or_mps_device_if_available(args: Any, *kwargs: Any) -> Any:	CODE
LOW	kornia/filters/guided.py	30	def _preprocess_fast_guided_blur(	CODE
LOW	kornia/filters/guided.py	45	def _guided_blur_grayscale_guidance(	CODE
LOW	kornia/filters/guided.py	84	def _guided_blur_multichannel_guidance(	CODE
LOW	kornia/metrics/disparity.py	67	def mean_absolute_disparity_error(	CODE
LOW	kornia/metrics/disparity.py	119	def root_mean_squared_disparity_error(	STRING
LOW	kornia/losses/focal.py	211	def binary_focal_loss_with_logits(	STRING
LOW	kornia/losses/mutual_information.py	64	def truncated_gaussian_kernel(x: torch.Tensor, window_radius: float = 1.0) -> torch.Tensor:	CODE
LOW	kornia/losses/mutual_information.py	113	def _joint_histogram_to_entropies(joint_histogram: torch.Tensor, eps: float = 1e-8) -> torch.Tensor:	CODE
LOW	kornia/losses/mutual_information.py	771	def normalized_mutual_information_loss(	CODE
LOW	kornia/losses/depth_smooth.py	39	def inverse_depth_smoothness_loss(idepth: torch.Tensor, image: torch.Tensor) -> torch.Tensor:	CODE
LOW	kornia/augmentation/base.py	40	def _apply_transform_unimplemented(self: nn.Module, *input: Any) -> torch.Tensor:	CODE
LOW	kornia/augmentation/base.py	196	def _process_kwargs_to_params_and_flags(	CODE
LOW	kornia/augmentation/base.py	535	def apply_non_transform_keypoint(	CODE
LOW	kornia/augmentation/base.py	555	def apply_non_transform_class(	CODE
LOW	kornia/augmentation/_2d/base.py	99	def generate_transformation_matrix(	CODE
LOW⚡	kornia/augmentation/_2d/intensity/base.py	60	def apply_non_transform_boxes(	STRING
LOW⚡	kornia/augmentation/_2d/intensity/base.py	70	def apply_non_transform_keypoint(	STRING
LOW⚡	kornia/augmentation/_2d/intensity/base.py	80	def apply_non_transform_class(	STRING
LOW	kornia/augmentation/_2d/geometric/base.py	53	def compute_inverse_transformation(self, transform: torch.Tensor) -> torch.Tensor:	CODE
LOW	kornia/augmentation/_2d/geometric/base.py	57	def get_transformation_matrix(	CODE
LOW	kornia/augmentation/_2d/geometric/base.py	164	def apply_non_transform_keypoint(	CODE
LOW	kornia/augmentation/_2d/geometric/base.py	189	def apply_non_transform_class(	CODE
LOW	kornia/augmentation/_2d/mix/mixup.py	117	def apply_non_transform_class(	STRING
LOW	kornia/augmentation/_2d/mix/cutmix.py	142	def apply_non_transform_class(	STRING
LOW⚡	kornia/augmentation/_2d/mix/base.py	186	def apply_non_transform_boxes(self, input: Boxes, params: Dict[str, torch.Tensor], flags: Dict[str, Any]) -> Boxes:	CODE
LOW⚡	kornia/augmentation/_2d/mix/base.py	192	def apply_non_transform_keypoint(	CODE
LOW⚡	kornia/augmentation/_2d/mix/base.py	202	def apply_non_transform_class(	CODE
LOW	kornia/augmentation/auto/base.py	44	def _update_transform_matrix_for_valid_op(self, module: PolicySequential) -> None: # type: ignore	CODE
LOW	kornia/augmentation/auto/base.py	56	def compose_subpolicy_sequential(self, subpolicy: SUBPOLICY_CONFIG) -> PolicySequential:	CODE
LOW	kornia/augmentation/auto/base.py	71	def get_transformation_matrix(	CODE
LOW	kornia/augmentation/auto/autoaugment/autoaugment.py	158	def compose_subpolicy_sequential(self, subpolicy: SUBPOLICY_CONFIG) -> PolicySequential:	CODE
LOW	kornia/augmentation/auto/rand_augment/rand_augment.py	106	def compose_subpolicy_sequential(self, subpolicy: SUBPOLICY_CONFIG) -> PolicySequential:	CODE
LOW	kornia/augmentation/auto/operations/policy.py	45	def _update_transform_matrix_for_valid_op(self, module: nn.Module) -> None:	CODE
LOW	kornia/augmentation/auto/operations/policy.py	73	def get_transformation_matrix(	CODE
LOW	…a/augmentation/auto/trivial_augment/trivial_augment.py	81	def compose_subpolicy_sequential(self, subpolicy: SUBPOLICY_CONFIG) -> PolicySequential:	CODE
LOW	kornia/augmentation/utils/param_validation.py	23	def _check_positive_int_or_traced(value: Any, name: str) -> None:	CODE
LOW	kornia/augmentation/utils/helpers.py	103	def _transform_input_by_shape(	STRING
LOW	kornia/augmentation/container/augment.py	292	def _update_transform_matrix_for_valid_op(self, module: nn.Module) -> None:	CODE
LOW	kornia/augmentation/container/ops.py	46	def get_instance_module_param(cls, param: ParamItem) -> Dict[str, torch.Tensor]:	CODE
LOW	kornia/augmentation/container/ops.py	65	def get_sequential_module_param(cls, param: ParamItem) -> List[ParamItem]:	CODE
LOW	kornia/augmentation/container/ops.py	253	def make_input_only_sequential(module: "K.container.ImageSequentialBase") -> Callable[P, torch.Tensor]:	CODE
LOW	kornia/augmentation/container/video.py	144	def __infer_channel_exclusive_batch_shape__(self, batch_shape: torch.Size, chennel_index: int) -> torch.Size:	STRING
LOW	kornia/augmentation/container/video.py	148	def __repeat_param_across_channels__(self, param: torch.Tensor, frame_num: int) -> torch.Tensor:	STRING
LOW	kornia/augmentation/container/video.py	185	def _input_shape_convert_back(self, input: torch.Tensor, frame_num: int) -> torch.Tensor:	STRING
LOW	kornia/augmentation/container/image.py	173	def get_random_forward_sequence(self, with_mix: bool = True) -> Tuple[Iterator[Tuple[str, nn.Module]], bool]:	CODE
LOW	kornia/augmentation/container/image.py	218	def get_mix_augmentation_indices(self, named_modules: Iterator[Tuple[str, nn.Module]]) -> List[int]:	CODE
LOW	kornia/augmentation/container/image.py	284	def get_transformation_matrix(	CODE
LOW	kornia/augmentation/container/base.py	237	def get_transformation_matrix(	CODE
LOW	kornia/augmentation/container/base.py	470	def _parse_transformation_matrix_mode(self, transformation_matrix_mode: str) -> None:	CODE
LOW⚡	kornia/augmentation/container/base.py	489	def _update_transform_matrix_for_valid_op(self, module: nn.Module) -> None:	CODE
LOW⚡	kornia/augmentation/container/base.py	492	def _update_transform_matrix_by_module(self, module: nn.Module) -> None:	CODE
LOW	kornia/augmentation/container/base.py	509	def _reset_transform_matrix_state(self) -> None:	CODE
LOW	kornia/augmentation/_3d/base.py	91	def generate_transformation_matrix(	STRING
LOW	kornia/core/utils.py	45	def get_cuda_device_if_available(index: int = 0) -> torch.device:	CODE
679 more matches not shown…

Docstring Block Structure145 hits · 725 pts

Severity	File	Line	Snippet	Context
HIGH	kornia/filters/kernels_geometry.py	33	Return 2D motion blur filter. Args: kernel_size: motion kernel width and height. It should be odd and posit	STRING
HIGH	kornia/filters/kernels_geometry.py	119	Return 3D motion blur filter. Args: kernel_size: motion kernel width, height and depth. It should be odd an	STRING
HIGH	kornia/filters/in_range.py	35	Create a mask indicating whether elements of the input torch.Tensor are within the specified range. .. image:: _sta	STRING
HIGH	kornia/filters/in_range.py	152	Create a module for applying lower and upper bounds to input tensors. Args: input: The input torch.Tensor t	STRING
HIGH	kornia/filters/motion.py	34	Blur 2D images (4D torch.Tensor) using the motion filter. Args: kernel_size: motion kernel width and height	STRING
HIGH	kornia/filters/motion.py	99	Blur 3D volumes (5D torch.Tensor) using the motion filter. Args: kernel_size: motion kernel width and heigh	STRING
HIGH	kornia/filters/kernels.py	560	Return Gaussian filter coefficients. Args: kernel_size: filter size. It should be odd and positive.	STRING
HIGH	kornia/filters/kernels.py	595	Return Gaussian filter coefficients based on the modified Bessel functions. Adapted from: https://github.com/Projec	STRING
HIGH	kornia/filters/kernels.py	632	Return Gaussian filter coefficients by interpolating the error function. Adapted from: https://github.com/Project-M	STRING
HIGH	kornia/filters/kernels.py	669	Return Gaussian filter matrix coefficients. Args: kernel_size: filter sizes in the y and x direction. Sizes	STRING
HIGH	kornia/filters/kernels.py	726	Return Gaussian filter matrix coefficients. Args: kernel_size: filter sizes in the z, y and x direction. Si	STRING
HIGH	kornia/filters/kernels.py	781	Return the coefficients of a 1D Laplacian filter. Args: kernel_size: filter size. It should be odd and posi	STRING
HIGH	kornia/filters/kernels.py	811	Return Gaussian filter matrix coefficients. Args: kernel_size: filter size should be odd. device: t	STRING
HIGH	kornia/filters/kernels.py	857	Generate pascal filter kernel by kernel size. Args: kernel_size: height and width of the kernel. no	STRING
HIGH	kornia/filters/kernels.py	897	Generate Yang Hui triangle (Pascal's triangle) by a given number. Args: kernel_size: height and width of th	STRING
HIGH	kornia/filters/kernels.py	982	Return Hanning (also known as Hann) kernel, used in signal processing and KCF tracker. .. math:: w(n) = 0.5 - 0.5c	STRING
HIGH	kornia/filters/otsu_thresholding.py	186	Apply automatic image thresholding using Otsu algorithm to the input tensor. Args: x (Tensor): Input tensor	STRING
HIGH	kornia/filters/blur_pool.py	101	Compute pools and blurs and downsample a given feature map. Equivalent to ```nn.Sequential(nn.MaxPool2d(...), BlurP	STRING
HIGH	kornia/filters/blur_pool.py	218	Compute blurs and downsample a given feature map. .. image:: _static/img/blur_pool2d.png See :class:`~kornia.f	STRING
HIGH	kornia/filters/unsharp.py	32	Create an operator that sharpens a torch.Tensor by applying operation out = 2 * image - gaussian_blur2d(image). ..	STRING
HIGH	kornia/filters/unsharp.py	59	Create an operator that sharpens image with: out = 2 * image - gaussian_blur2d(image). Args: kernel_size: t	STRING
HIGH	kornia/filters/gaussian.py	39	Create an operator that blurs a torch.Tensor using a Gaussian filter. .. image:: _static/img/gaussian_blur2d.png	STRING
HIGH	kornia/metrics/ssim.py	42	Compute the Structural Similarity (SSIM) index map between two images. Measures the (SSIM) index between each eleme	STRING
HIGH	kornia/metrics/mean_average_precision.py	34	Calculate the Mean Average Precision (mAP) of detected objects. Code altered from https://github.com/sgrvinod/a-PyT	STRING
HIGH	kornia/metrics/ssim3d.py	52	Compute the Structural Similarity (SSIM) index map between two images. Measures the (SSIM) index between each eleme	STRING
HIGH	kornia/losses/focal.py	221	Criterion that computes Binary Focal loss. According to :cite:`lin2018focal`, the Focal loss is computed as follows	STRING
HIGH	kornia/losses/mutual_information.py	231	Compute the joint histogram between the reference signal and another signal. Uses kernel density estimation to	STRING
HIGH	kornia/losses/ssim.py	35	Compute a loss based on the SSIM measurement. The loss, or the Structural dissimilarity (DSSIM) is described as:	STRING
HIGH	kornia/losses/ssim.py	86	Create a criterion that computes a loss based on the SSIM measurement. The loss, or the Structural dissimilarity (D	STRING
HIGH	kornia/losses/ms_ssim.py	31	Creates a criterion that computes MSSIM + L1 loss. According to [1], we compute the MS_SSIM + L1 loss as follows:	STRING
HIGH	kornia/losses/one_hot.py	27	Convert an integer label x-D torch.Tensor to a one-hot (x+1)-D torch.Tensor. Args: labels: torch.Tensor wit	STRING
HIGH	kornia/losses/ssim3d.py	35	Compute a loss based on the SSIM measurement. The loss, or the Structural dissimilarity (DSSIM) is described as:	STRING
HIGH	kornia/losses/ssim3d.py	86	Create a criterion that computes a loss based on the SSIM measurement. The loss, or the Structural dissimilarity (D	STRING
HIGH	kornia/augmentation/_2d/mix/mixup.py	28	Apply MixUp augmentation to a batch of torch.Tensor images. .. image:: _static/img/RandomMixUpV2.png Implement	STRING
HIGH	kornia/augmentation/_2d/mix/transplantation.py	33	RandomTransplantation augmentation. .. image:: _static/img/RandomTransplantation.png Randomly transplant (copy	STRING
HIGH	kornia/augmentation/_2d/mix/cutmix.py	29	Apply CutMix augmentation to a batch of torch.Tensor images. .. image:: _static/img/RandomCutMixV2.png Impleme	STRING
HIGH	kornia/augmentation/auto/rand_augment/rand_augment.py	107	Build a :class:`PolicySequential` for one RandAugment candidate op. Args: subpolicy: Single-entry p	STRING
HIGH	…a/augmentation/auto/trivial_augment/trivial_augment.py	82	Build a :class:`PolicySequential` from one TrivialAugment candidate. Args: subpolicy: Single-entry	STRING
HIGH	kornia/augmentation/container/patch.py	175	Compute spatial padding needed before patch extraction. Args: input: Input image tensor.	STRING
HIGH	kornia/augmentation/container/patch.py	391	Inverse the patch pipeline when supported. Args: input: Augmented image tensor. params:	STRING
HIGH	kornia/augmentation/container/patch.py	412	Transform masks for intensity-only patch pipelines. Args: input: Input mask tensor. par	STRING
HIGH	kornia/augmentation/container/patch.py	433	Inverse mask transforms for supported patch pipelines. Args: input: Augmented mask tensor.	STRING
HIGH	kornia/augmentation/container/patch.py	454	Transform boxes for intensity-only patch pipelines. Args: input: Input boxes. params: P	STRING
HIGH	kornia/augmentation/container/patch.py	475	Inverse box transforms for supported patch pipelines. Args: input: Augmented boxes. par	STRING
HIGH	kornia/augmentation/container/patch.py	496	Transform keypoints for intensity-only patch pipelines. Args: input: Input keypoints. p	STRING
HIGH	kornia/augmentation/container/patch.py	517	Inverse keypoint transforms for supported patch pipelines. Args: input: Augmented keypoints (concep	STRING
HIGH	kornia/augmentation/container/ops.py	47	Extract per-module parameter dict from a :class:`ParamItem`. Args: param: Parameter wrapper produce	STRING
HIGH	kornia/augmentation/container/ops.py	66	Extract nested sequential parameters from a :class:`ParamItem`. Args: param: Parameter wrapper prod	STRING
HIGH	kornia/augmentation/container/ops.py	138	Normalize user-provided data keys into :class:`DataKey` values. Args: data_keys: Optional keys pass	STRING
HIGH	kornia/augmentation/container/ops.py	284	Apply one module step to an image tensor. Args: input: Input image tensor. module: Modu	STRING
HIGH	kornia/augmentation/container/ops.py	316	Apply one inverse module step to an image tensor. Args: input: Tensor to invert. module	STRING
HIGH	kornia/augmentation/container/ops.py	354	Apply class-label handling for one module step. Args: input: Class-label tensor. module	STRING
HIGH	kornia/augmentation/container/image.py	227	Return the module sequence used for the current forward call. Args: params: Optional recorded param	STRING
HIGH	kornia/augmentation/container/base.py	55	Get submodule. This code is taken from torch 1.9.0 since it is not introduced back to torch 1.7.1. We i	STRING
HIGH	kornia/augmentation/random_generator/base.py	96	Sample random augmentation parameters. Args: batch_shape: Target batch shape. same_on_b	STRING
HIGH	kornia/augmentation/random_generator/_2d/crop.py	159	Get cropping heights and widths for ```crop``` transformation for resized crop transform. Args: output_size	STRING
HIGH	kornia/sensors/camera/distortion_model.py	92	Apply Brown-Conrady lens distortion to ideal normalized points. Args: params: Distortion parameter	STRING
HIGH	kornia/sensors/camera/distortion_model.py	111	Remove Brown-Conrady lens distortion from observed points. Args: params: Distortion parameter tenso	STRING
HIGH	kornia/sensors/camera/distortion_model.py	139	Apply Kannala-Brandt K3 fisheye distortion to normalized points. Args: params: Fisheye distortion c	STRING
HIGH	kornia/sensors/camera/distortion_model.py	156	Remove Kannala-Brandt K3 fisheye distortion from observed points. Args: params: Fisheye distortion	STRING
85 more matches not shown…

Hallucination Indicators64 hits · 720 pts

Severity	File	Line	Snippet	Context
CRITICAL	kornia/core/utils.py	30	from kornia.core.exceptions import DeviceError	CODE
CRITICAL	kornia/color/yuv.py	27	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/filters/test_sobel.py	43	from kornia.core.exceptions import ShapeError, TypeCheckError	CODE
CRITICAL	tests/filters/test_sobel.py	293	from kornia.core.exceptions import ShapeError, TypeCheckError	CODE
CRITICAL	tests/filters/test_sobel.py	458	from kornia.core.exceptions import ShapeError, TypeCheckError	CODE
CRITICAL	tests/filters/test_blur_pool.py	168	from kornia.core.exceptions import BaseError, ShapeError	CODE
CRITICAL	tests/filters/test_median.py	40	from kornia.core.exceptions import ShapeError, TypeCheckError	CODE
CRITICAL	tests/filters/test_bilateral.py	57	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL	tests/filters/test_bilateral.py	214	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL	tests/filters/test_gaussian.py	245	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL	tests/filters/test_filters.py	105	from kornia.core.exceptions import ShapeError, TypeCheckError	CODE
CRITICAL	tests/filters/test_filters.py	424	from kornia.core.exceptions import ShapeError, TypeCheckError	CODE
CRITICAL	tests/filters/test_filters.py	829	from kornia.core.exceptions import ShapeError, TypeCheckError	CODE
CRITICAL	tests/filters/test_guided.py	71	from kornia.core.exceptions import BaseError, TypeCheckError	CODE
CRITICAL	tests/filters/test_canny.py	53	from kornia.core.exceptions import BaseError, ShapeError, TypeCheckError	CODE
CRITICAL	tests/metrics/test_disparity.py	22	from kornia.core.exceptions import BaseError, ShapeError, TypeCheckError	CODE
CRITICAL	tests/metrics/test_aepe.py	61	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL	tests/metrics/test_aepe.py	73	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/metrics/test_ssim3d.py	69	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL	tests/metrics/test_ssim3d.py	80	from kornia.core.exceptions import ShapeError	CODE
CRITICAL⚡	tests/losses/test_charbonnier.py	39	from kornia.core.exceptions import BaseError	CODE
CRITICAL⚡	tests/losses/test_charbonnier.py	46	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL⚡	tests/losses/test_charbonnier.py	57	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/losses/test_lovaz_softmax.py	37	from kornia.core.exceptions import ShapeError	CODE
CRITICAL⚡	tests/losses/test_geman_macclure.py	39	from kornia.core.exceptions import BaseError	CODE
CRITICAL⚡	tests/losses/test_geman_macclure.py	46	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL⚡	tests/losses/test_geman_macclure.py	57	from kornia.core.exceptions import ShapeError	CODE
CRITICAL⚡	tests/losses/test_welcsh.py	96	from kornia.core.exceptions import BaseError	CODE
CRITICAL⚡	tests/losses/test_welcsh.py	103	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL⚡	tests/losses/test_welcsh.py	114	from kornia.core.exceptions import ShapeError	CODE
CRITICAL⚡	tests/losses/test_cauchy.py	39	from kornia.core.exceptions import BaseError	CODE
CRITICAL⚡	tests/losses/test_cauchy.py	46	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL⚡	tests/losses/test_cauchy.py	57	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/augmentation/test_augmentation.py	4062	from kornia.core.exceptions import BaseError	CODE
CRITICAL	tests/augmentation/test_augmentation.py	4349	from kornia.core.exceptions import BaseError, TypeCheckError	CODE
CRITICAL	tests/core/test_tensor_wrapper.py	21	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL	tests/core/test_helpers.py	21	from kornia.core.exceptions import DeviceError	CODE
CRITICAL	tests/color/test_yuv.py	23	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/color/test_xyz.py	39	from kornia.core.exceptions import ShapeError, TypeCheckError	CODE
CRITICAL	tests/color/test_raw.py	224	from kornia.core.exceptions import BaseError, ShapeError	CODE
CRITICAL	tests/color/test_gray.py	40	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL	tests/color/test_gray.py	146	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL	tests/color/test_gray.py	262	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL⚡	tests/models/test_structures.py	23	from kornia.core.exceptions import BaseError	CODE
CRITICAL	tests/models/test_prompter.py	66	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/models/test_sam.py	71	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/contrib/test_conv_distance_transformer.py	22	from kornia.core.exceptions import BaseError, TypeCheckError	CODE
CRITICAL	tests/contrib/test_kmeans.py	66	from kornia.core.exceptions import BaseError, ShapeError	CODE
CRITICAL	tests/image/test_print.py	44	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/image/test_print.py	51	from kornia.core.exceptions import ValueCheckError	CODE
CRITICAL	tests/image/test_image.py	25	from kornia.core.exceptions import ShapeError	CODE
CRITICAL	tests/enhance/test_shift_rgb.py	52	from kornia.core.exceptions import ImageError	CODE
CRITICAL⚡	tests/enhance/test_jpeg.py	105	from kornia.core.exceptions import TypeCheckError	CODE
CRITICAL⚡	tests/enhance/test_jpeg.py	113	from kornia.core.exceptions import BaseError	CODE
CRITICAL⚡	tests/enhance/test_jpeg.py	122	from kornia.core.exceptions import BaseError	CODE
CRITICAL	tests/enhance/test_jpeg.py	137	from kornia.core.exceptions import BaseError	CODE
CRITICAL	tests/enhance/test_jpeg.py	152	from kornia.core.exceptions import BaseError	CODE
CRITICAL	tests/enhance/test_jpeg.py	163	from kornia.core.exceptions import BaseError	CODE
CRITICAL	tests/enhance/test_jpeg.py	174	from kornia.core.exceptions import BaseError	CODE
CRITICAL	tests/geometry/camera/test_projections.py	116	from kornia.core.exceptions import ShapeError	CODE
4 more matches not shown…

Decorative Section Separators167 hits · 562 pts

Severity	File	Line	Snippet	Context
MEDIUM⚡	pixi.toml	8	# ------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	pixi.toml	10	# ------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	pixi.toml	18	# ------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	pixi.toml	20	# ------------------------------------------------------------------------------	COMMENT
MEDIUM	pixi.toml	32	# ------------------------------------------------------------------------------	COMMENT
MEDIUM	pixi.toml	34	# ------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	pixi.toml	60	# ------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	pixi.toml	62	# ------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	pixi.toml	66	# ------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	pixi.toml	69	# ------------------------------------------------------------------------------	COMMENT
MEDIUM	pixi.toml	81	# ------------------------------------------------------------------------------	COMMENT
MEDIUM	pixi.toml	83	# ------------------------------------------------------------------------------	COMMENT
MEDIUM	pyproject.toml	320	# ----------------------------	COMMENT
MEDIUM	pyproject.toml	341	# =============================================================================	COMMENT
MEDIUM	pyproject.toml	343	# =============================================================================	COMMENT
MEDIUM	kornia/feature/xfeat.py	322	# ------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/xfeat.py	324	# ------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/xfeat.py	474	# ------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/xfeat.py	476	# ------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/scale_space_detector.py	330	# ── Hoist loop invariants ────────────────────────────────────────────	COMMENT
MEDIUM	kornia/feature/scale_space_detector.py	345	# ── Process octaves sequentially ────────────────────────────────────	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	71	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	73	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	107	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	109	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	145	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	147	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	193	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	195	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	377	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	379	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	403	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	405	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	613	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	615	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	730	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/feature/aliked/aliked.py	732	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	kornia/geometry/boxes.py	665	# -----------------	STRING
MEDIUM	kornia/geometry/boxes.py	667	# -----------------	STRING
MEDIUM	kornia/geometry/boxes.py	691	# -----------------	STRING
MEDIUM	kornia/geometry/boxes.py	693	# -----------------	STRING
MEDIUM	kornia/geometry/calibration/pnp.py	135	# ============	STRING
MEDIUM	kornia/geometry/calibration/pnp.py	137	# ============	STRING
MEDIUM	kornia/geometry/subpix/spatial_soft_argmax.py	753	# ── Step 1: NMS maxima ────────────────────────────────────────────────────	STRING
MEDIUM	kornia/geometry/subpix/spatial_soft_argmax.py	759	# ── Step 2: dilate NMS positions — L∞ ball of radius dilation_radius ────────	STRING
MEDIUM	kornia/geometry/subpix/spatial_soft_argmax.py	835	# ── Step 5: build a compact int32 lookup table ───────────────────────────	STRING
MEDIUM	kornia/geometry/subpix/spatial_soft_argmax.py	849	# ── Step 6: iterative lookup — no .any().item() sync ─────────────────────	STRING
MEDIUM	kornia/geometry/subpix/spatial_soft_argmax.py	907	# ── Write refined coordinates and corrected response ──────────────────────	STRING
MEDIUM⚡	tests/augmentation/test_onnx_export.py	197	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	tests/augmentation/test_onnx_export.py	208	# ----------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/feature/test_xfeat.py	86	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/feature/test_xfeat.py	88	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/feature/test_xfeat.py	338	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	tests/feature/test_xfeat.py	340	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/feature/test_xfeat.py	26	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/feature/test_xfeat.py	28	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/feature/test_xfeat.py	130	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/feature/test_xfeat.py	132	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/feature/test_xfeat.py	224	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	tests/feature/test_xfeat.py	226	# ---------------------------------------------------------------------------	COMMENT
107 more matches not shown…

Cross-File Repetition49 hits · 245 pts

Severity	File	Snippet	Context
HIGH	kornia/augmentation/base.py	check if the input torch.tensor is formatted as expected.	STRING
HIGH	kornia/augmentation/_2d/base.py	check if the input torch.tensor is formatted as expected.	STRING
HIGH	kornia/augmentation/_3d/base.py	check if the input torch.tensor is formatted as expected.	STRING
HIGH	kornia/augmentation/base.py	process keypoints corresponding to the inputs that are no transformation applied.	STRING
HIGH	kornia/augmentation/_2d/geometric/crop.py	process keypoints corresponding to the inputs that are no transformation applied.	STRING
HIGH	kornia/augmentation/_2d/geometric/base.py	process keypoints corresponding to the inputs that are no transformation applied.	STRING
HIGH	kornia/augmentation/base.py	process class tags corresponding to the inputs that are transformed.	STRING
HIGH	kornia/augmentation/_2d/geometric/base.py	process class tags corresponding to the inputs that are transformed.	STRING
HIGH	kornia/augmentation/_2d/geometric/elastic_transform.py	process class tags corresponding to the inputs that are transformed.	STRING
HIGH	kornia/augmentation/auto/base.py	reset cached params and transformation-matrix state.	STRING
HIGH	kornia/augmentation/auto/operations/policy.py	reset cached params and transformation-matrix state.	STRING
HIGH	kornia/augmentation/container/augment.py	reset cached params and transformation-matrix state.	STRING
HIGH	kornia/augmentation/auto/base.py	compute the transformation matrix according to the provided parameters. args: input: the input torch.tensor. params: par	STRING
HIGH	kornia/augmentation/auto/operations/policy.py	compute the transformation matrix according to the provided parameters. args: input: the input torch.tensor. params: par	STRING
HIGH	kornia/augmentation/container/image.py	compute the transformation matrix according to the provided parameters. args: input: the input torch.tensor. params: par	STRING
HIGH	kornia/augmentation/container/base.py	compute the transformation matrix according to the provided parameters. args: input: the input torch.tensor. params: par	STRING
HIGH	kornia/augmentation/auto/autoaugment/__init__.py	kornia trivialaugment — trivialaugment policy implementations for kornia augmentation. this subpackage provides the triv	STRING
HIGH	kornia/augmentation/auto/rand_augment/__init__.py	kornia trivialaugment — trivialaugment policy implementations for kornia augmentation. this subpackage provides the triv	STRING
HIGH	kornia/augmentation/auto/trivial_augment/__init__.py	kornia trivialaugment — trivialaugment policy implementations for kornia augmentation. this subpackage provides the triv	STRING
HIGH	kornia/augmentation/container/patch.py	inverse transformation. used to inverse a torch.tensor according to the performed transformation by a forward pass, or w	STRING
HIGH	kornia/augmentation/container/video.py	inverse transformation. used to inverse a torch.tensor according to the performed transformation by a forward pass, or w	STRING
HIGH	kornia/augmentation/container/base.py	inverse transformation. used to inverse a torch.tensor according to the performed transformation by a forward pass, or w	STRING
HIGH	kornia/augmentation/container/augment.py	overwrite the __call__ function to handle various inputs. args: inputs: inputs to operate on. input_names_to_handle: lis	STRING
HIGH	kornia/augmentation/container/image.py	overwrite the __call__ function to handle various inputs. args: inputs: inputs to operate on. input_names_to_handle: lis	STRING
HIGH	kornia/core/module.py	overwrite the __call__ function to handle various inputs. args: inputs: inputs to operate on. input_names_to_handle: lis	STRING
HIGH	kornia/color/xyz.py	convert an rgba tensor to bgr. args: image: input tensor with shape :math:`(, 4, h, w)`. here, ```` means any number o	STRING
HIGH	kornia/color/hls.py	convert an rgba tensor to bgr. args: image: input tensor with shape :math:`(, 4, h, w)`. here, ```` means any number o	STRING
HIGH	kornia/color/yuv.py	convert an rgba tensor to bgr. args: image: input tensor with shape :math:`(, 4, h, w)`. here, ```` means any number o	STRING
HIGH	kornia/color/luv.py	convert an rgba tensor to bgr. args: image: input tensor with shape :math:`(, 4, h, w)`. here, ```` means any number o	STRING
HIGH	kornia/color/rgb.py	convert an rgba tensor to bgr. args: image: input tensor with shape :math:`(, 4, h, w)`. here, ```` means any number o	STRING
HIGH	kornia/color/ycbcr.py	convert an rgba tensor to bgr. args: image: input tensor with shape :math:`(, 4, h, w)`. here, ```` means any number o	STRING
HIGH	kornia/color/lab.py	convert an rgba tensor to bgr. args: image: input tensor with shape :math:`(, 4, h, w)`. here, ```` means any number o	STRING
HIGH	kornia/color/gray.py	convert an rgba tensor to bgr. args: image: input tensor with shape :math:`(, 4, h, w)`. here, ```` means any number o	STRING
HIGH	kornia/feature/dedode/detector.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/descriptor.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/decoder.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/dinov2.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/block.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/vgg.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/encoder.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/dinov2.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/attention.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/dino_head.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/swiglu_ffn.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/layer_scale.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/mlp.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/patch_embed.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/block.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING
HIGH	kornia/feature/dedode/transformer/layers/drop_path.py	run this dedode module forward. inputs are image, feature, or token tensors used by the dedode detector/descriptor pipel	STRING

Modern Structural Boilerplate153 hits · 154 pts

Severity	File	Line	Snippet	Context
LOW	conftest.py	276	def _setup_torch_compile() -> None:	CODE
LOW	kornia/config.py	22	__all__ = ["InstallationMode", "kornia_config"]	CODE
LOW	kornia/constants.py	23	__all__ = ["BorderType", "DType", "Resample", "SamplePadding", "TKEnum", "pi"]	CODE
LOW	kornia/filters/__init__.py	72	__all__ = [	CODE
LOW	kornia/filters/blur_pool.py	29	__all__ = [	CODE
LOW	kornia/metrics/__init__.py	35	__all__ = [	CODE
LOW	kornia/losses/__init__.py	60	__all__ = [	CODE
LOW	kornia/transpiler/__init__.py	25	__all__ = ["to_jax", "to_numpy", "to_tensorflow"]	CODE
LOW	kornia/augmentation/__init__.py	118	__all__ = [	CODE
LOW	kornia/augmentation/base.py	151	def set_rng_device_and_dtype(self, device: torch.device, dtype: torch.dtype) -> None:	CODE
LOW	kornia/augmentation/_2d/mix/transplantation.py	29	__all__ = ["RandomTransplantation"]	CODE
LOW	kornia/augmentation/_2d/mix/jigsaw.py	26	__all__ = ["RandomJigsaw"]	CODE
LOW	kornia/augmentation/_2d/mix/mosaic.py	31	__all__ = ["RandomMosaic"]	CODE
LOW	kornia/augmentation/auto/__init__.py	29	__all__ = ["AutoAugment", "PolicyAugmentBase", "PolicySequential", "RandAugment", "TrivialAugment"]	CODE
LOW	kornia/augmentation/auto/base.py	44	def _update_transform_matrix_for_valid_op(self, module: PolicySequential) -> None: # type: ignore	CODE
LOW	kornia/augmentation/auto/operations/policy.py	45	def _update_transform_matrix_for_valid_op(self, module: nn.Module) -> None:	CODE
LOW	kornia/augmentation/auto/operations/ops.py	25	__all__ = [	CODE
LOW	kornia/augmentation/auto/operations/base.py	120	def _update_probability_gen(self, relaxation: bool) -> None:	CODE
LOW	kornia/augmentation/utils/__init__.py	53	__all__ = [	CODE
LOW	kornia/augmentation/container/patch.py	36	__all__ = ["PatchSequential"]	CODE
LOW	kornia/augmentation/container/params.py	22	__all__ = ["ParamItem", "PatchParamItem"]	CODE
LOW	kornia/augmentation/container/augment.py	40	__all__ = ["AugmentationSequential"]	CODE
LOW	kornia/augmentation/container/augment.py	292	def _update_transform_matrix_for_valid_op(self, module: nn.Module) -> None:	CODE
LOW	kornia/augmentation/container/video.py	32	__all__ = ["VideoSequential"]	CODE
LOW	kornia/augmentation/container/image.py	33	__all__ = ["ImageSequential"]	CODE
LOW	kornia/augmentation/container/base.py	33	__all__ = ["BasicSequentialBase", "ImageSequentialBase", "SequentialBase"]	CODE
LOW⚡	kornia/augmentation/container/base.py	489	def _update_transform_matrix_for_valid_op(self, module: nn.Module) -> None:	CODE
LOW⚡	kornia/augmentation/container/base.py	492	def _update_transform_matrix_by_module(self, module: nn.Module) -> None:	CODE
LOW	kornia/augmentation/container/base.py	503	def _update_transform_matrix(self, transform_matrix: Optional[torch.Tensor]) -> None:	CODE
LOW	kornia/augmentation/random_generator/_2d/translate.py	31	__all__ = ["TranslateGenerator"]	CODE
LOW	…nia/augmentation/random_generator/_2d/gaussian_blur.py	33	__all__ = ["RandomGaussianBlurGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/perspective.py	27	__all__ = ["PerspectiveGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/mixup.py	27	__all__ = ["MixupGenerator"]	CODE
LOW	…nia/augmentation/random_generator/_2d/plain_uniform.py	27	__all__ = ["ParameterBound", "PlainUniformGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/patchmix.py	27	__all__ = ["PatchMixGenerator"]	CODE
LOW	…/augmentation/random_generator/_2d/planckian_jitter.py	25	__all__ = ["PlanckianJitterGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/jpeg.py	26	__all__ = ["JPEGGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/affine.py	32	__all__ = ["AffineGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/shear.py	32	__all__ = ["ShearGenerator"]	CODE
LOW	…rnia/augmentation/random_generator/_2d/color_jitter.py	32	__all__ = ["ColorJitterGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/crop.py	33	__all__ = ["CropGenerator", "ResizedCropGenerator", "center_crop_generator"]	CODE
LOW	…/augmentation/random_generator/_2d/rectangle_earase.py	31	__all__ = ["RectangleEraseGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/resize.py	27	__all__ = ["ResizeGenerator"]	CODE
LOW	…a/augmentation/random_generator/_2d/channel_shuffle.py	25	__all__ = ["ChannelShuffleGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/jigsaw.py	26	__all__ = ["JigsawGenerator"]	CODE
LOW	…rnia/augmentation/random_generator/_2d/color_jiggle.py	27	__all__ = ["ColorJiggleGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/posterize.py	26	__all__ = ["PosterizeGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/probability.py	26	__all__ = ["ProbabilityGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/cutmix.py	34	__all__ = ["CutmixGenerator"]	CODE
LOW	…ia/augmentation/random_generator/_2d/gaussian_noise.py	26	__all__ = ["GaussianNoiseGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/motion_blur.py	26	__all__ = ["MotionBlurGenerator"]	CODE
LOW	kornia/augmentation/random_generator/_2d/mosaic.py	28	__all__ = ["MosaicGenerator"]	CODE
LOW	kornia/augmentation/_3d/mix/transplantation.py	21	__all__ = ["RandomTransplantation3D"]	CODE
LOW	kornia/sensors/camera/__init__.py	33	__all__ = [	CODE
LOW	kornia/core/check.py	37	__all__ = [	CODE
LOW	kornia/core/__init__.py	33	__all__ = [	CODE
LOW	kornia/core/exceptions.py	24	__all__ = [	CODE
LOW	kornia/core/external.py	27	logger = logging.getLogger(__name__)	CODE
LOW	kornia/core/mixin/onnx.py	199	def set_session(self, session: ort.InferenceSession) -> None: # type: ignore	CODE
LOW	kornia/onnx/download.py	27	__all__ = ["CachedDownloader"]	CODE
93 more matches not shown…

Deep Nesting82 hits · 82 pts

Severity	File	Line	Context
LOW	kornia/constants.py	113	CODE
LOW	kornia/constants.py	132	CODE
LOW	kornia/filters/kernels.py	504	CODE
LOW	kornia/filters/otsu_thresholding.py	73	CODE
LOW	kornia/metrics/mean_average_precision.py	25	CODE
LOW	kornia/metrics/disparity.py	52	CODE
LOW	kornia/augmentation/base.py	163	CODE
LOW	…ia/augmentation/_2d/intensity/gaussian_illumination.py	79	CODE
LOW	…rnia/augmentation/_2d/intensity/linear_illumination.py	75	CODE
LOW	…rnia/augmentation/_2d/intensity/linear_illumination.py	182	CODE
LOW	kornia/augmentation/_2d/intensity/salt_pepper_noise.py	80	CODE
LOW	kornia/augmentation/_2d/geometric/crop.py	121	CODE
LOW	kornia/augmentation/_2d/geometric/crop.py	207	CODE
LOW	kornia/augmentation/_2d/mix/base.py	212	CODE
LOW	kornia/augmentation/_2d/mix/mosaic.py	186	CODE
LOW	kornia/augmentation/auto/autoaugment/autoaugment.py	140	CODE
LOW	kornia/augmentation/auto/operations/policy.py	73	CODE
LOW	kornia/augmentation/utils/param_validation.py	152	CODE
LOW	kornia/augmentation/utils/helpers.py	395	CODE
LOW	kornia/augmentation/container/patch.py	302	CODE
LOW	kornia/augmentation/container/augment.py	365	CODE
LOW	kornia/augmentation/container/augment.py	390	CODE
LOW	kornia/augmentation/container/augment.py	499	CODE
LOW	kornia/augmentation/container/augment.py	657	CODE
LOW	kornia/augmentation/container/ops.py	281	CODE
LOW	kornia/augmentation/container/ops.py	313	CODE
LOW	kornia/augmentation/container/ops.py	399	CODE
LOW	kornia/augmentation/container/ops.py	448	CODE
LOW	kornia/augmentation/container/ops.py	513	CODE
LOW	kornia/augmentation/container/ops.py	561	CODE
LOW	kornia/augmentation/container/ops.py	607	CODE
LOW	kornia/augmentation/container/ops.py	658	CODE
LOW	kornia/augmentation/container/ops.py	705	CODE
LOW	kornia/augmentation/container/video.py	194	CODE
LOW	kornia/augmentation/container/image.py	143	CODE
LOW	kornia/augmentation/container/image.py	284	CODE
LOW	kornia/augmentation/container/image.py	342	CODE
LOW	kornia/augmentation/_3d/geometric/crop.py	111	CODE
LOW	kornia/sensors/camera/camera_model.py	48	CODE
LOW	kornia/core/check.py	131	CODE
LOW	kornia/core/check.py	272	CODE
LOW	kornia/core/check.py	323	CODE
LOW	kornia/core/utils.py	88	CODE
LOW	kornia/core/external.py	63	CODE
LOW	kornia/core/mixin/image_module.py	39	CODE
LOW	kornia/core/mixin/image_module.py	58	CODE
LOW	kornia/core/mixin/image_module.py	60	CODE
LOW	kornia/color/raw.py	53	CODE
LOW	kornia/color/raw.py	192	CODE
LOW	kornia/color/raw.py	236	CODE
LOW	kornia/color/rgb.py	149	CODE
LOW	kornia/models/sam/model.py	133	CODE
LOW	kornia/models/rt_detr/model.py	96	CODE
LOW	kornia/models/rt_detr/model.py	138	CODE
LOW	kornia/models/rt_detr/architecture/resnet_d.py	198	CODE
LOW	kornia/models/siglip2/attention.py	76	CODE
LOW	kornia/models/siglip2/config.py	112	CODE
LOW	kornia/models/yunet/model.py	73	CODE
LOW	kornia/models/yunet/processors.py	94	CODE
LOW	kornia/contrib/super_resolution.py	169	CODE
22 more matches not shown…

AI Structural Patterns62 hits · 61 pts

Severity	File	Line	Context
LOW	kornia/filters/dexined.py	231	CODE
LOW	kornia/filters/bilateral.py	84	CODE
LOW	kornia/filters/filter.py	207	CODE
LOW	kornia/filters/filter.py	457	CODE
LOW	kornia/augmentation/base.py	383	CODE
LOW	kornia/augmentation/base.py	586	CODE
LOW	kornia/augmentation/_2d/intensity/random_snow.py	97	CODE
LOW	kornia/augmentation/_2d/geometric/resized_crop.py	82	CODE
LOW	kornia/augmentation/_2d/geometric/translate.py	77	CODE
LOW	kornia/augmentation/_2d/geometric/affine.py	98	CODE
LOW	kornia/augmentation/_2d/geometric/crop.py	93	CODE
LOW	kornia/augmentation/_2d/geometric/elastic_transform.py	65	CODE
LOW	kornia/augmentation/_2d/mix/cutmix.py	92	CODE
LOW	kornia/augmentation/_2d/mix/base.py	121	CODE
LOW	kornia/augmentation/_2d/mix/mosaic.py	81	CODE
LOW	kornia/augmentation/_2d/mix/mosaic.py	242	CODE
LOW	kornia/augmentation/container/video.py	452	CODE
LOW	kornia/augmentation/presets/ada.py	102	CODE
LOW	kornia/augmentation/_3d/geometric/affine.py	104	CODE
LOW	kornia/augmentation/_3d/geometric/crop.py	85	CODE
LOW	kornia/color/colormap.py	253	CODE
LOW	kornia/color/luv.py	89	CODE
LOW	kornia/color/hsv.py	115	CODE
LOW	kornia/models/tiny_vit.py	536	CODE
LOW	kornia/models/vit.py	101	CODE
LOW	kornia/models/vit.py	220	CODE
LOW	kornia/models/vit.py	280	CODE
LOW	kornia/models/dexined.py	148	CODE
LOW	kornia/models/efficient_vit/nn/ops.py	65	CODE
LOW	kornia/models/efficient_vit/nn/ops.py	288	CODE
LOW	kornia/models/efficient_vit/nn/ops.py	427	CODE
LOW	kornia/models/efficient_vit/nn/ops.py	500	CODE
LOW	kornia/models/efficient_vit/nn/ops.py	522	CODE
LOW	kornia/models/sam/architecture/transformer.py	291	CODE
LOW	kornia/models/sam/architecture/image_encoder.py	59	CODE
LOW	kornia/models/sam/architecture/image_encoder.py	165	CODE
LOW	kornia/models/rt_detr/architecture/rtdetr_head.py	163	CODE
LOW	kornia/models/rt_detr/architecture/rtdetr_head.py	234	CODE
LOW	kornia/models/sam3/architecture/image_encoder.py	123	CODE
LOW	kornia/models/sam3/architecture/prompt_encoder.py	177	CODE
LOW	kornia/enhance/histogram.py	166	CODE
LOW	kornia/enhance/jpeg.py	216	CODE
LOW	kornia/enhance/jpeg.py	269	CODE
LOW	kornia/feature/defmo.py	131	CODE
LOW	kornia/feature/scale_space_detector.py	112	CODE
LOW	kornia/feature/laf.py	68	CODE
LOW	kornia/feature/laf.py	256	CODE
LOW	kornia/feature/sold2/backbones.py	225	CODE
LOW	kornia/feature/adalam/core.py	270	CODE
LOW	kornia/feature/adalam/adalam.py	141	CODE
LOW	kornia/feature/aliked/aliked.py	561	CODE
LOW	kornia/feature/aliked/aliked.py	610	CODE
LOW	kornia/feature/dedode/decoder.py	79	CODE
LOW	kornia/feature/dedode/transformer/dinov2.py	80	CODE
LOW	kornia/feature/dedode/transformer/layers/block.py	76	CODE
LOW	kornia/feature/dedode/transformer/layers/drop_path.py	45	CODE
LOW	kornia/geometry/ransac.py	56	CODE
LOW	kornia/geometry/subpix/spatial_soft_argmax.py	417	CODE
LOW	kornia/geometry/subpix/spatial_soft_argmax.py	242	CODE
LOW	kornia/geometry/transform/image_registrator.py	142	CODE
2 more matches not shown…

TODO Padding31 hits · 55 pts

Severity	File	Line	Snippet	Context
LOW	kornia/augmentation/container/video.py	117	# TODO: implement transform_matrix	STRING
LOW	kornia/image/draw.py	26	# TODO: implement width of the line	COMMENT
LOW	kornia/image/draw.py	375	# TODO: implement optional linetypes for smooth edges	STRING
LOW	kornia/feature/dedode/dedode.py	69	# TODO: implement steerers and mnn matchers	STRING
LOW	kornia/geometry/vector.py	30	# TODO: implement more functionality to validate	COMMENT
LOW	kornia/geometry/line.py	155	# TODO: add tests, and possibly return a mask	COMMENT
LOW	kornia/geometry/plane.py	182	# TODO: implement `.unitOrthonormal`	COMMENT
LOW	tests/losses/test_ssim.py	109	# TODO: implement for single channel image	COMMENT
LOW	tests/color/test_colormap.py	101	# TODO: implement differentiability	COMMENT
LOW	tests/enhance/test_adjust.py	1121	# TODO: implement me	COMMENT
LOW	tests/enhance/test_adjust.py	1193	# TODO: implement me	COMMENT
LOW	tests/geometry/test_depth.py	56	# TODO: implement me with batch	COMMENT
LOW	tests/geometry/test_depth.py	74	# TODO: implement me with batch	COMMENT
LOW	tests/geometry/test_plane.py	27	# TODO: implement the rest of methods	COMMENT
LOW	tests/geometry/test_plane.py	60	# TODO: implement the rest of methods	COMMENT
LOW	tests/geometry/test_plane.py	82	# TODO: implement `Vector2`	COMMENT
LOW⚡	tests/geometry/liegroup/test_se3.py	63	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_se3.py	67	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_se3.py	71	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_se3.py	75	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_se2.py	96	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_se2.py	100	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_se2.py	104	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_so3.py	41	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_so3.py	45	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_so3.py	49	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_so3.py	53	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_so3.py	57	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_so2.py	88	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_so2.py	92	# TODO: implement me	COMMENT
LOW⚡	tests/geometry/liegroup/test_so2.py	96	# TODO: implement me	COMMENT

Self-Referential Comments15 hits · 50 pts

Severity	File	Line	Snippet	Context
MEDIUM	kornia/onnx/download.py	114	os.makedirs(os.path.dirname(file_path), exist_ok=True) # Create the cache directory if it doesn't exist	CODE
MEDIUM	kornia/models/segmentation/base.py	125	# Create a colormap for each pixel based on the class with the highest probability	COMMENT
MEDIUM	kornia/feature/sold2/backbones.py	421	# Define the pixel shuffle	COMMENT
MEDIUM	kornia/feature/sold2/sold2_detector.py	358	# Define the distance tolerance	COMMENT
MEDIUM⚡	tests/filters/test_dissolving.py	39	# Create a dummy image tensor with shape [B, C, H, W], where B is the batch size.	COMMENT
MEDIUM⚡	tests/core/test_module.py	39	# Create a sample PIL image for testing	COMMENT
MEDIUM⚡	tests/core/test_module.py	44	# Create a sample tensor for testing	COMMENT
MEDIUM⚡	tests/core/test_module.py	49	# Create a sample numpy array for testing	COMMENT
MEDIUM	tests/onnx/test_sequential.py	30	# Create a minimal ONNX model with an input and output	COMMENT
MEDIUM	tests/onnx/test_sequential.py	61	# Create a small ONNX model as the return value of merge_models	COMMENT
MEDIUM	tests/models/test_kimi_vl.py	82	# Create a mask (B, N, N) or (B, 1, N, N)	COMMENT
MEDIUM	tests/models/test_sam_onnx.py	35	# Create a tiny pseudo-SAM model to prevent CI timeouts during ONNX trace	COMMENT
MEDIUM	tests/feature/test_mkd.py	46	# Create a dummy model structure depending on the kernel type in the URL	COMMENT
MEDIUM	tests/geometry/test_quaternion.py	159	# Create a quaternion with parameters to test gradient flow	COMMENT
MEDIUM	tests/geometry/transform/test_affine.py	782	# Define the expected shear matrix with controlled numbers	COMMENT

Redundant / Tautological Comments23 hits · 40 pts

Severity	File	Line	Snippet	Context
LOW	kornia/augmentation/_2d/geometric/base.py	117	# Check if we're using 'slice' cropping_mode which uses interpolate	COMMENT
LOW	kornia/augmentation/_2d/geometric/base.py	274	# Check if we're using 'slice' cropping_mode which uses interpolate	COMMENT
LOW	kornia/core/mixin/onnx.py	421	# Check if all ops are supported in the current IR version	COMMENT
LOW	kornia/image/draw.py	301	# Check if polygons are in loop closed format, if not -> make it so	STRING
LOW	kornia/geometry/bbox.py	68	# Check if differences are within tolerance (1e-4)	COMMENT
LOW	tests/metrics/test_ssim3d.py	68	# Check if both are tensors	COMMENT
LOW	tests/metrics/test_ssim3d.py	91	# Check if same shape	COMMENT
LOW⚡	tests/losses/test_charbonnier.py	45	# Check if both are tensors	COMMENT
LOW⚡	tests/losses/test_charbonnier.py	56	# Check if same shape	COMMENT
LOW⚡	tests/losses/test_geman_macclure.py	45	# Check if both are tensors	COMMENT
LOW⚡	tests/losses/test_geman_macclure.py	56	# Check if same shape	COMMENT
LOW⚡	tests/losses/test_welcsh.py	102	# Check if both are tensors	COMMENT
LOW⚡	tests/losses/test_welcsh.py	113	# Check if same shape	COMMENT
LOW⚡	tests/losses/test_cauchy.py	45	# Check if both are tensors	COMMENT
LOW⚡	tests/losses/test_cauchy.py	56	# Check if same shape	COMMENT
LOW	tests/onnx/test_utils.py	215	# Check if version was added	COMMENT
LOW	tests/models/test_small_sr.py	100	# Check if pretrained weights are cached to avoid network download attempts in offline CI	COMMENT
LOW	tests/models/test_small_sr.py	212	# Check if pretrained weights are cached to avoid network download attempts in offline CI	COMMENT
LOW	tests/models/test_box_filtering.py	67	# Set classes_to_keep to [1, 2]	COMMENT
LOW	tests/tracking/test_planar_tracking.py	36	# Set extract_features to None so isinstance(..., nn.Module) guard skips feature pre-extraction	COMMENT
LOW	testing/parametrized_tester.py	84	# Check if class has a func or function_under_test attribute	COMMENT
LOW	.github/workflows/scheduled_test_cpu.yml	52	# Check if all changed files are in paths-ignore patterns	COMMENT
LOW	.github/workflows/scheduled_test_cpu.yml	55	# Check if file matches any ignore pattern	COMMENT

Excessive Try-Catch Wrapping12 hits · 15 pts

Severity	File	Line	Snippet	Context
LOW⚡	tests/filters/test_gaussian.py	353	except Exception as e:	CODE
LOW	tests/augmentation/test_backward.py	203	except Exception as e:	CODE
LOW	tests/augmentation/container/test_patch_sequential.py	79	except Exception:	CODE
LOW	tests/geometry/test_quaternion.py	219	except Exception:	CODE
LOW	testing/parametrized_tester.py	134	except Exception as e:	CODE
LOW	testing/parametrized_tester.py	170	except Exception as e:	CODE
LOW	testing/parametrized_tester.py	228	except Exception as e:	CODE
LOW⚡	benchmarks/feature/scale_space_detector.py	517	except Exception:	CODE
LOW⚡	benchmarks/geometry/project_distort.py	68	except Exception:	CODE
LOW⚡	benchmarks/geometry/depth_to_normals.py	65	except Exception:	CODE
LOW⚡	benchmarks/geometry/pointcloud.py	80	except Exception:	CODE
LOW⚡	benchmarks/geometry/linalg_epipolar_distort.py	82	except Exception:	CODE

AI Slop Vocabulary7 hits · 7 pts

Severity	File	Line	Snippet	Context
MEDIUM	kornia/losses/charbonnier.py	145	"""Compute the Charbonnier robust regression loss.	STRING
MEDIUM	kornia/losses/geman_mcclure.py	134	"""Compute the Geman-McClure robust regression loss.	STRING
MEDIUM	kornia/losses/cauchy.py	132	"""Compute the Cauchy robust regression loss.	STRING
MEDIUM	kornia/losses/welsch.py	133	"""Compute the Welsch robust regression loss.	STRING
LOW	kornia/contrib/extract_patches.py	93	# For now, just use the default padding	STRING
LOW	kornia/contrib/object_detection.py	365	# If no class filtering is needed, just use a mask of all `True`	COMMENT
MEDIUM	kornia/geometry/ransac.py	43	"""Module for robust geometry estimation with RANSAC. https://en.wikipedia.org/wiki/Random_sample_consensus.	STRING

Synthetic Comment Markers1 hit · 5 pts

Severity	File	Line	Snippet	Context
HIGH	CONTRIBUTING.md	403	- Completing the AI Usage Disclosure in the PR template accurately (see [AI-Assisted Development](#ai-assisted-develop	CODE

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings