pytorch/vision

Pattern Findings

1710 matches across 13 categories. Click a row to expand file-level details.

Cross-File Repetition126 hits · 630 pts

Severity	File	Line	Snippet
HIGH	references/classification/utils.py	0	track a series of values and provide access to smoothed values over a window or the global series average.
HIGH	references/depth/stereo/utils/logger.py	0	track a series of values and provide access to smoothed values over a window or the global series average.
HIGH	references/segmentation/utils.py	0	track a series of values and provide access to smoothed values over a window or the global series average.
HIGH	references/video_classification/utils.py	0	track a series of values and provide access to smoothed values over a window or the global series average.
HIGH	references/optical_flow/utils.py	0	track a series of values and provide access to smoothed values over a window or the global series average.
HIGH	references/detection/utils.py	0	track a series of values and provide access to smoothed values over a window or the global series average.
HIGH	references/classification/utils.py	0	this function disables printing when not in master process
HIGH	references/segmentation/utils.py	0	this function disables printing when not in master process
HIGH	references/video_classification/utils.py	0	this function disables printing when not in master process
HIGH	references/detection/utils.py	0	this function disables printing when not in master process
HIGH	references/depth/stereo/utils/losses.py	0	loss function defined over sequence of flow predictions
HIGH	references/depth/stereo/utils/losses.py	0	loss function defined over sequence of flow predictions
HIGH	references/optical_flow/utils.py	0	loss function defined over sequence of flow predictions
HIGH	torchvision/datasets/stl10.py	0	args: index (int): index returns: tuple: (image, target) where target is index of the target class.
HIGH	torchvision/datasets/usps.py	0	args: index (int): index returns: tuple: (image, target) where target is index of the target class.
HIGH	torchvision/datasets/svhn.py	0	args: index (int): index returns: tuple: (image, target) where target is index of the target class.
HIGH	torchvision/datasets/semeion.py	0	args: index (int): index returns: tuple: (image, target) where target is index of the target class.
HIGH	torchvision/datasets/cifar.py	0	args: index (int): index returns: tuple: (image, target) where target is index of the target class.
HIGH	torchvision/datasets/caltech.py	0	args: index (int): index returns: tuple: (image, target) where target is index of the target class.
HIGH	torchvision/datasets/mnist.py	0	args: index (int): index returns: tuple: (image, target) where target is index of the target class.
HIGH	torchvision/datasets/_stereo_matching.py	0	return example at given index. args: index(int): the index of the example to retrieve returns: tuple: a 3-tuple with ``(
HIGH	torchvision/datasets/_stereo_matching.py	0	return example at given index. args: index(int): the index of the example to retrieve returns: tuple: a 3-tuple with ``(
HIGH	torchvision/datasets/_stereo_matching.py	0	return example at given index. args: index(int): the index of the example to retrieve returns: tuple: a 3-tuple with ``(
HIGH	torchvision/datasets/_stereo_matching.py	0	return example at given index. args: index(int): the index of the example to retrieve returns: tuple: a 3-tuple with ``(
HIGH	torchvision/datasets/_stereo_matching.py	0	return example at given index. args: index(int): the index of the example to retrieve returns: tuple: a 4-tuple with ``(
HIGH	torchvision/datasets/_stereo_matching.py	0	return example at given index. args: index(int): the index of the example to retrieve returns: tuple: a 4-tuple with ``(
HIGH	torchvision/datasets/_stereo_matching.py	0	return example at given index. args: index(int): the index of the example to retrieve returns: tuple: a 4-tuple with ``(
HIGH	torchvision/models/shufflenetv2.py	0	these weights were trained from scratch by using torchvision's `new training recipe <https://pytorch.org/blog/how-to-tra
HIGH	torchvision/models/shufflenetv2.py	0	these weights were trained from scratch by using torchvision's `new training recipe <https://pytorch.org/blog/how-to-tra
HIGH	torchvision/models/mnasnet.py	0	these weights were trained from scratch by using torchvision's `new training recipe <https://pytorch.org/blog/how-to-tra
HIGH	torchvision/models/mnasnet.py	0	these weights were trained from scratch by using torchvision's `new training recipe <https://pytorch.org/blog/how-to-tra
HIGH	torchvision/models/resnet.py	0	these weights were trained from scratch by using torchvision's `new training recipe <https://pytorch.org/blog/how-to-tra
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/squeezenet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/resnet.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/mobilenetv2.py	0	these weights reproduce closely the results of the paper using a simple training recipe.
HIGH	torchvision/models/regnet.py	0	these weights improve upon the results of the original paper by using a modified version of torchvision's `new training
HIGH	torchvision/models/regnet.py	0	these weights improve upon the results of the original paper by using a modified version of torchvision's `new training
HIGH	torchvision/models/regnet.py	0	these weights improve upon the results of the original paper by using a modified version of torchvision's `new training
66 more matches not shown…

Hyper-Verbose Identifiers600 hits · 508 pts

Severity	File	Line	Snippet
LOW	test/smoke_test.py	24	def smoke_test_torchvision_read_decode() -> None:
LOW	test/smoke_test.py	69	def smoke_test_torchvision_decode_jpeg(device: str = "cpu"):
LOW	test/builtin_dataset_mocks.py	122	def parametrize_dataset_mocks(*dataset_mocks, marks=None):
LOW	test/builtin_dataset_mocks.py	803	def _make_detection_anns_folder(cls, root, name, *, file_name_fn, num_examples):
LOW	test/builtin_dataset_mocks.py	928	def _make_bounding_boxes_file(cls, root, image_file_names):
LOW	test/builtin_dataset_mocks.py	1230	def _meta_to_split_and_classification_ann(cls, meta, idx):
LOW	test/test_utils.py	42	def test_make_grid_not_inplace():
LOW	test/test_utils.py	56	def test_normalize_in_make_grid():
LOW	test/test_utils.py	83	def test_save_image_single_pixel():
LOW	test/test_utils.py	91	def test_save_image_file_object():
LOW	test/test_utils.py	103	def test_save_image_single_pixel_file_object():
LOW	test/test_utils.py	138	def test_draw_boxes_with_coloured_labels():
LOW	test/test_utils.py	153	def test_draw_boxes_with_coloured_label_backgrounds():
LOW	test/test_utils.py	170	def test_draw_boxes_with_coloured_label_text_boxes():
LOW	test/test_utils.py	208	def test_draw_rotated_boxes_fill():
LOW	test/test_utils.py	262	def test_draw_boxes_grayscale():
LOW	test/test_utils.py	321	def test_draw_segmentation_masks(colors, alpha, device):
LOW	test/test_utils.py	363	def test_draw_segmentation_masks_dtypes():
LOW	test/test_utils.py	384	def test_draw_segmentation_masks_errors(device):
LOW	test/test_utils.py	421	def test_draw_no_segmention_mask(device):
LOW	test/test_utils.py	430	def test_draw_keypoints_vanilla():
LOW	test/test_utils.py	465	def test_draw_keypoints_colored(colors):
LOW	test/test_utils.py	492	def test_draw_keypoints_visibility(connectivity, vis):
LOW	test/test_utils.py	531	def test_draw_keypoints_visibility_default():
LOW	test/test_utils.py	555	def test_draw_keypoints_dtypes():
LOW	test/test_utils.py	571	def test_draw_keypoints_errors():
LOW	test/test_utils.py	636	def test_flow_to_image_errors(input_flow, match):
LOW	test/conftest.py	25	def pytest_collection_modifyitems(items):
LOW	test/test_transforms_video.py	40	def test_random_resized_crop_video(self):
LOW	test/test_transforms_video.py	116	def samples_from_standard_normal(tensor):
LOW	test/test_transforms_video.py	164	def test_random_horizontal_flip_video(self, p):
LOW	test/test_prototype_datasets_utils.py	129	def test_priority_decompressed_gt_raw(self, tmp_path):
LOW	test/test_prototype_datasets_utils.py	142	def test_priority_extracted_gt_decompressed(self, tmp_path):
LOW	test/test_prototype_datasets_utils.py	177	def test_preprocess_decompress(self, tmp_path, preprocess):
LOW	test/test_prototype_datasets_utils.py	218	def test_preprocess_only_after_download(self, tmp_path):
LOW	test/test_prototype_datasets_utils.py	287	def test_missing_dependency_error():
LOW	test/test_datasets_utils.py	49	def test_get_redirect_url_max_hops_exceeded(self, mocker):
LOW	test/test_datasets_utils.py	81	def test_get_google_drive_file_id(self):
LOW	test/test_datasets_utils.py	88	def test_get_google_drive_file_id_invalid_url(self):
LOW	test/test_datasets_utils.py	116	def test_detect_file_type_incompatible(self, file):
LOW	test/test_datasets_utils.py	145	def test_decompress_no_compression(self):
LOW	test/test_datasets_utils.py	150	def test_decompress_remove_finished(self, tmpdir, use_pathlib):
LOW	test/test_datasets_utils.py	178	def test_extract_archive_defer_to_decompress(self, extension, remove_finished, mocker):
LOW	test/test_datasets_utils.py	270	def test_make_dataset_no_valid_files(tmpdir, kwargs, expected_error_msg):
LOW	test/test_datasets.py	149	def _create_annotation_folder(self, root, name, file_name_fn, num_examples):
LOW	test/test_datasets.py	385	def test_feature_types_target_color(self):
LOW	test/test_datasets.py	391	def test_feature_types_target_polygon(self):
LOW	test/test_datasets.py	1053	def test_not_found_or_corrupted(self):
LOW	test/test_datasets.py	1330	def test_not_found_or_corrupted(self):
LOW	test/test_datasets.py	1700	def _is_valid_file_to_extensions(self, is_valid_file):
LOW	test/test_datasets.py	1992	def test_tv_decode_image_support(self):
LOW	test/test_datasets.py	2727	def _meta_to_split_and_classification_ann(self, meta, idx):
LOW	test/test_datasets.py	3403	def _create_annotation_folder(num_examples: int, root_dir: str):
LOW	test/test_datasets.py	3511	def test_augmented_view_usage(self):
LOW	test/test_datasets_video_utils.py	72	def test_video_clips_custom_fps(self, tmpdir):
LOW	test/test_datasets_video_utils.py	83	def test_compute_clips_for_video(self):
LOW	test/test_backbone_utils.py	98	def _create_feature_extractor(self, args, *kwargs):
LOW	test/test_backbone_utils.py	131	def test_build_fx_feature_extractor(self, model_name):
LOW	test/test_backbone_utils.py	162	def test_node_name_conventions(self):
LOW	test/test_backbone_utils.py	186	def test_feature_extraction_methods_equivalence(self):
540 more matches not shown…

Unused Imports654 hits · 467 pts

Severity	File	Line
LOW	hubconf.py	4
LOW	hubconf.py	4
LOW	hubconf.py	5
LOW	hubconf.py	6
LOW	hubconf.py	6
LOW	hubconf.py	6
LOW	hubconf.py	6
LOW	hubconf.py	7
LOW	hubconf.py	7
LOW	hubconf.py	7
LOW	hubconf.py	7
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	8
LOW	hubconf.py	21
LOW	hubconf.py	22
LOW	hubconf.py	23
LOW	hubconf.py	24
LOW	hubconf.py	24
LOW	hubconf.py	24
LOW	hubconf.py	24
LOW	hubconf.py	25
LOW	hubconf.py	26
LOW	hubconf.py	26
LOW	hubconf.py	27
LOW	hubconf.py	27
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	28
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	45
LOW	hubconf.py	57
594 more matches not shown…

Decorative Section Separators49 hits · 147 pts

Severity	File	Line	Snippet
MEDIUM	gallery/others/plot_optical_flow.py	51	# --------------------------------
MEDIUM	gallery/others/plot_optical_flow.py	112	# ----------------------------------
MEDIUM	gallery/others/plot_optical_flow.py	152	# ---------------------------
MEDIUM	gallery/others/plot_optical_flow.py	174	# ---------------------------------------
MEDIUM	gallery/others/plot_visualization_utils.py	39	# ----------------------------
MEDIUM	gallery/others/plot_visualization_utils.py	57	# --------------------------
MEDIUM	gallery/others/plot_visualization_utils.py	105	# ------------------------------
MEDIUM	gallery/others/plot_visualization_utils.py	357	# ------------------------------
MEDIUM	gallery/others/plot_repurposing_annotations.py	62	# -----------------------------------------------
MEDIUM	gallery/others/plot_repurposing_annotations.py	162	# ----------------------------------------------------
MEDIUM	gallery/transforms/plot_cutmix_mixup.py	32	# -----------------------
MEDIUM	gallery/transforms/plot_cutmix_mixup.py	69	# -----------------------------
MEDIUM	gallery/transforms/plot_cutmix_mixup.py	125	# -------------------------
MEDIUM	gallery/transforms/plot_transforms_getting_started.py	36	# ----------
MEDIUM	gallery/transforms/plot_transforms_getting_started.py	49	# --------------------------------------
MEDIUM	gallery/transforms/plot_transforms_getting_started.py	83	# -------------------------------
MEDIUM	gallery/transforms/plot_transforms_getting_started.py	128	# --------------------
MEDIUM	gallery/transforms/plot_transforms_getting_started.py	156	# ------------------------
MEDIUM	gallery/transforms/plot_transforms_getting_started.py	225	# ------------------------------------------
MEDIUM	gallery/transforms/plot_custom_transforms.py	24	# ===============================================================
MEDIUM	gallery/transforms/plot_custom_transforms.py	84	# =====================================
MEDIUM	gallery/transforms/plot_custom_transforms.py	113	# -----------------------------------------
MEDIUM	gallery/transforms/plot_custom_transforms.py	151	# --------------------------------------
MEDIUM	gallery/transforms/plot_keypoints_transforms.py	43	# -------------------------------
MEDIUM	gallery/transforms/plot_keypoints_transforms.py	75	# ------------------------
MEDIUM	gallery/transforms/plot_transforms_illustrations.py	37	# --------------------
MEDIUM	gallery/transforms/plot_transforms_illustrations.py	141	# ----------------------
MEDIUM	gallery/transforms/plot_transforms_illustrations.py	253	# -----------------------
MEDIUM	gallery/transforms/plot_transforms_illustrations.py	299	# ---------------------------
MEDIUM	gallery/transforms/plot_rotated_box_transforms.py	41	# -------------------------------
MEDIUM	gallery/transforms/plot_rotated_box_transforms.py	64	# ------------------------
MEDIUM	gallery/transforms/plot_rotated_box_transforms.py	97	# -------------------------------------------
MEDIUM	gallery/transforms/plot_rotated_box_transforms.py	169	# --------------------------
MEDIUM	gallery/transforms/plot_tv_tensors.py	35	# -------------------
MEDIUM	gallery/transforms/plot_tv_tensors.py	58	# ------------------------------
MEDIUM	gallery/transforms/plot_tv_tensors.py	69	# ------------------------------
MEDIUM	gallery/transforms/plot_tv_tensors.py	137	# -----------------------------------------------
MEDIUM	gallery/transforms/plot_transforms_e2e.py	43	# -------------------
MEDIUM	gallery/transforms/plot_transforms_e2e.py	93	# ----------
MEDIUM	gallery/transforms/plot_transforms_e2e.py	142	# ------------------------------
MEDIUM	gallery/transforms/plot_transforms_e2e.py	172	# -------------------
MEDIUM	gallery/transforms/plot_custom_tv_tensors.py	93	# -----------------------------------------------------------------------
MEDIUM	gallery/transforms/plot_custom_tv_tensors.py	125	# ------------------------------
MEDIUM	torchvision/_autograd_registrations.py	8	# =====================================================================
MEDIUM	torchvision/_autograd_registrations.py	10	# =====================================================================
MEDIUM	torchvision/_autograd_registrations.py	208	# =====================================================================
MEDIUM	torchvision/_autograd_registrations.py	210	# =====================================================================
MEDIUM	torchvision/_autograd_registrations.py	328	# =====================================================================
MEDIUM	torchvision/_autograd_registrations.py	330	# =====================================================================

Over-Commented Block107 hits · 106 pts

Severity	File	Line	Snippet
LOW	packaging/cut_release.sh	1	#!/usr/bin/env bash
LOW	test/smoke_test.py	41	# if torch.cuda.is_available():
LOW	test/conftest.py	21	config.addinivalue_line("markers", "dont_collect: mark for tests that should not be collected")
LOW	test/conftest.py	81
LOW	test/test_models.py	841	# We first try to assert the entire output if possible. This is not
LOW	test/test_transforms_v2.py	7161	dtype=torch.float32,
LOW	references/depth/stereo/transforms.py	481	)
LOW	gallery/others/plot_optical_flow.py	121	# If you can, run this example on a GPU, it will be a lot faster.
LOW	gallery/others/plot_optical_flow.py	141	# vertical displacement of each pixel from the first image to the second image.
LOW	gallery/others/plot_optical_flow.py	181
LOW	gallery/others/plot_visualization_utils.py	101	show(dogs_with_boxes)
LOW	gallery/others/plot_visualization_utils.py	161	# 1]``. To get boolean masks, we can do the following:
LOW	gallery/others/plot_visualization_utils.py	241	# Instance segmentation models
LOW	gallery/others/plot_visualization_utils.py	281	# associated to those keys has ``num_instances`` elements in it. In our case
LOW	gallery/others/plot_visualization_utils.py	341
LOW	gallery/others/plot_visualization_utils.py	381	# As we see the output contains a list of dictionaries.
LOW	gallery/others/plot_visualization_utils.py	421	# As we see, the keypoints appear as colored circles over the image.
LOW	gallery/others/plot_visualization_utils.py	441	#
LOW	gallery/others/plot_visualization_utils.py	501	# So we definitely don't want to display those keypoints and connections, and you don't have to.
LOW	gallery/others/plot_visualization_utils.py	521	# The :func:`~torchvision.models.detection.keypointrcnn_resnet50_fpn` model,
LOW	gallery/others/plot_scripted_tensor_transforms.py	61	# <v1_or_v2>` way to use transforms in your code.
LOW	gallery/others/plot_repurposing_annotations.py	41
LOW	gallery/others/plot_repurposing_annotations.py	161	# Converting Segmentation Dataset to Detection Dataset
LOW	gallery/transforms/plot_cutmix_mixup.py	61	print(f"{images.shape = }, {labels.shape = }")
LOW	gallery/transforms/plot_cutmix_mixup.py	81	mixup = v2.MixUp(num_classes=NUM_CLASSES)
LOW	gallery/transforms/plot_cutmix_mixup.py	121	break
LOW	gallery/transforms/plot_transforms_getting_started.py	61
LOW	gallery/transforms/plot_transforms_getting_started.py	121	# answer these in the next sections.
LOW	gallery/transforms/plot_transforms_getting_started.py	141	img_dp = tv_tensors.Image(torch.randint(0, 256, (3, 256, 256), dtype=torch.uint8))
LOW	gallery/transforms/plot_transforms_getting_started.py	181	# %%
LOW	gallery/transforms/plot_transforms_getting_started.py	201	# :class:`~torchvision.tv_tensors.Image` class at all, and yet our images
LOW	gallery/transforms/plot_transforms_getting_started.py	221	#
LOW	gallery/transforms/plot_transforms_getting_started.py	241	# TVTensors, so they don't return TVTensors out of the box.
LOW	gallery/transforms/plot_transforms_getting_started.py	261	#
LOW	gallery/transforms/plot_custom_transforms.py	21
LOW	gallery/transforms/plot_custom_transforms.py	81	# :ref:`tv_tensor_unwrapping_behaviour`
LOW	gallery/transforms/plot_custom_transforms.py	141	# ``structured_input``, the input is flattened and then each individual part is
LOW	gallery/transforms/plot_custom_transforms.py	181	_ = my_random_transform(structured_input) # doesn't transform
LOW	gallery/transforms/plot_transforms_illustrations.py	41	#
LOW	gallery/transforms/plot_transforms_illustrations.py	61	# ~~~~~~~~~~
LOW	gallery/transforms/plot_transforms_illustrations.py	81	# (see also :func:`~torchvision.transforms.functional.perspective`)
LOW	gallery/transforms/plot_transforms_illustrations.py	101	# (see also :func:`~torchvision.transforms.functional.affine`)
LOW	gallery/transforms/plot_transforms_illustrations.py	121	# The :class:`~torchvision.transforms.RandomCrop` transform
LOW	gallery/transforms/plot_transforms_illustrations.py	141	# ----------------------
LOW	gallery/transforms/plot_transforms_illustrations.py	161	# ~~~~~~~~~~~
LOW	gallery/transforms/plot_transforms_illustrations.py	181	# The :class:`~torchvision.transforms.RandomInvert` transform
LOW	gallery/transforms/plot_transforms_illustrations.py	201	# ~~~~~~~~~~~~~~
LOW	gallery/transforms/plot_transforms_illustrations.py	221	# RandomAutocontrast
LOW	gallery/transforms/plot_transforms_illustrations.py	241	# JPEG
LOW	gallery/transforms/plot_transforms_illustrations.py	281	# ~~~~~~~~~~~~~~~~~~
LOW	gallery/transforms/plot_transforms_illustrations.py	301	# The following transforms are randomly-applied given a probability ``p``. That is, given ``p = 0.5``,
LOW	gallery/transforms/plot_rotated_box_transforms.py	81	resized_imgs = [
LOW	gallery/transforms/plot_rotated_box_transforms.py	101	# transformed (cropped) image. In general, this may happen on most of the
LOW	gallery/transforms/plot_rotated_box_transforms.py	161	print(soft_center_crops_and_boxes)
LOW	gallery/transforms/plot_tv_tensors.py	41
LOW	gallery/transforms/plot_tv_tensors.py	61	# Everything that is supported on a plain :class:`torch.Tensor` like ``.sum()`` or
LOW	gallery/transforms/plot_tv_tensors.py	81	# Similar to other PyTorch creations ops, the constructor also takes the ``dtype``, ``device``, and ``requires_grad``
LOW	gallery/transforms/plot_tv_tensors.py	121	# into a TVTensor. This is useful when you already have an object of the
LOW	gallery/transforms/plot_tv_tensors.py	181	# Why is this happening?
LOW	gallery/transforms/plot_tv_tensors.py	201	# desirable.
47 more matches not shown…

Deep Nesting105 hits · 100 pts

Severity	File	Line
LOW	setup.py	372
LOW	packaging/wheel/relocate.py	282
LOW	test/builtin_dataset_mocks.py	484
LOW	test/builtin_dataset_mocks.py	41
LOW	test/conftest.py	25
LOW	test/test_datasets.py	292
LOW	test/test_datasets.py	1002
LOW	test/test_datasets.py	1763
LOW	test/test_datasets.py	2530
LOW	test/test_datasets_download.py	80
LOW	test/test_extended_models.py	244
LOW	test/test_transforms_v2.py	7194
LOW	test/test_transforms_v2.py	1789
LOW	test/test_transforms_v2.py	4238
LOW	test/test_ops.py	290
LOW	test/test_ops.py	340
LOW	test/test_ops.py	427
LOW	test/test_ops.py	661
LOW	test/test_ops.py	962
LOW	test/common_utils.py	410
LOW	test/common_utils.py	54
LOW	test/datasets_utils.py	971
LOW	test/datasets_utils.py	483
LOW	test/datasets_utils.py	576
LOW	test/datasets_utils.py	709
LOW	references/classification/presets.py	21
LOW	references/depth/stereo/transforms.py	519
LOW	references/depth/stereo/train.py	36
LOW	references/depth/stereo/train.py	267
LOW	references/depth/stereo/cascade_evaluation.py	109
LOW	references/optical_flow/train.py	13
LOW	references/optical_flow/train.py	133
LOW	references/detection/presets.py	21
LOW	gallery/transforms/helpers.py	9
LOW	torchvision/utils.py	25
LOW	torchvision/utils.py	177
LOW	torchvision/utils.py	285
LOW	torchvision/utils.py	418
LOW	torchvision/utils.py	487
LOW	torchvision/utils.py	722
LOW	torchvision/datasets/flickr.py	40
LOW	torchvision/datasets/folder.py	49
LOW	torchvision/datasets/lfw.py	137
LOW	torchvision/datasets/celeba.py	175
LOW	torchvision/datasets/_stereo_matching.py	579
LOW	torchvision/datasets/widerface.py	113
LOW	torchvision/datasets/_optical_flow.py	349
LOW	torchvision/datasets/inaturalist.py	142
LOW	torchvision/datasets/inaturalist.py	209
LOW	torchvision/models/googlenet.py	32
LOW	torchvision/models/mnasnet.py	112
LOW	torchvision/models/vgg.py	36
LOW	torchvision/models/regnet.py	297
LOW	torchvision/models/vision_transformer.py	789
LOW	torchvision/models/vision_transformer.py	54
LOW	torchvision/models/densenet.py	152
LOW	torchvision/models/inception.py	29
LOW	torchvision/models/feature_extraction.py	369
LOW	torchvision/models/efficientnet.py	366
LOW	torchvision/models/efficientnet.py	234
45 more matches not shown…

Docstring Block Structure12 hits · 60 pts

Severity	File	Line	Snippet
HIGH	test/datasets_utils.py	881	Create a video file from random data. Args: root (Union[str, pathlib.Path]): Root directory the video file
HIGH	test/datasets_utils.py	929	Create a folder of random videos. Args: root (Union[str, pathlib.Path]): Root directory the video folder wi
HIGH	references/classification/utils.py	324	This method can be used to prepare weights files for new models. It receives as input a model architecture and
HIGH	torchvision/utils.py	728	Parses a specification of colors for a set of objects. Args: colors: A specification of colors for the
HIGH	torchvision/datasets/places365.py	13	`Places365 <http://places2.csail.mit.edu/index.html>`_ classification dataset. Args: root (str or ``pathlib
HIGH	torchvision/datasets/folder.py	174	Generates a list of samples of a form (path_to_sample, class). This can be overridden to e.g. read files from a
HIGH	torchvision/datasets/folder.py	208	Find the class folders in a dataset structured as follows:: directory/ ├── class_x
HIGH	torchvision/datasets/utils.py	248	Detect the archive type and/or compression of a file. Args: file (str): the filename Returns:
HIGH	torchvision/datasets/kinetics.py	23	`Generic Kinetics <https://www.deepmind.com/open-source/kinetics>`_ dataset. Kinetics-400/600/700 are action re
HIGH	torchvision/models/feature_extraction.py	210	Dev utility to return node names in order of execution. See note on node names under :func:`create_feature_extr
HIGH	torchvision/transforms/functional.py	217	Convert a tensor image to the given ``dtype`` and scale the values accordingly This function does not support PIL Im
HIGH	torchvision/ops/deform_conv.py	24	Performs Deformable Convolution v2, described in `Deformable ConvNets v2: More Deformable, Better Results <

Excessive Try-Catch Wrapping18 hits · 24 pts

Severity	File	Line	Snippet
LOW	setup.py	62	except Exception:
LOW	test/test_extended_models.py	398	except Exception:
LOW	test/test_prototype_datasets_builtin.py	98	except Exception as error:
MEDIUM	test/test_prototype_datasets_builtin.py	74	def test_info(self, name):
LOW	test/test_prototype_models.py	81	except Exception as e:
LOW	test/test_models.py	992	except Exception as e:
MEDIUM	test/test_transforms_v2.py	105	def _script(obj):
LOW	test/test_transforms_v2.py	108	except Exception as error:
LOW	test/common_utils.py	249	except Exception as exc:
LOW	torchvision/utils.py	192	except Exception:
LOW	torchvision/datasets/video_utils.py	327	except Exception:
LOW	torchvision/prototype/datasets/benchmark.py	658	except Exception as error:
LOW	…chvision/prototype/datasets/generate_category_files.py	58	except Exception as error:
LOW	torchvision/prototype/datasets/utils/_resource.py	194	except Exception:
LOW	release/apply-release-changes.py	46	except Exception as e:
MEDIUM	release/apply-release-changes.py	47	print(f"Error processing {file_path}: {e}")
MEDIUM	release/apply-release-changes.py	71	print("Error: Exactly one version parameter is required")
MEDIUM	release/apply-release-changes.py	83	print("Error: Not inside a git repository. Please run from within a git repository.")

AI Slop Vocabulary10 hits · 22 pts

Severity	File	Line	Snippet
MEDIUM	test/conftest.py	63	# TODO: something more robust would be to do that only in a sandcastle instance,
MEDIUM	test/test_models.py	253	# This may be caused by the harness environment (e.g. num classes, input initialization
LOW	test/test_transforms_v2.py	155	# Most kernels just return a tensor, but some also return some additional metadata
LOW	test/test_transforms_v2.py	174	# Most kernels just return a tensor, but some also return some additional metadata
LOW	references/detection/transforms.py	464	# Let's just return (image, target)
MEDIUM	gallery/transforms/plot_transforms_e2e.py	99	# dataset so that they can leverage multi-processing from the
MEDIUM	torchvision/datasets/caltech.py	126	# can be more robust and check hash of files
MEDIUM	torchvision/datasets/caltech.py	226	# can be more robust and check hash of files
LOW	torchvision/prototype/transforms/_augment.py	183	# Let's just return (image, target)
LOW	torchvision/transforms/v2/_transform.py	155	# are JIT scriptable, and we made sure that for single image inputs v1 and v2 are equivalent, we just return the

Self-Referential Comments6 hits · 18 pts

Severity	File	Line	Snippet
MEDIUM	gallery/transforms/plot_rotated_box_transforms.py	40	# Creating a Rotated Bounding Box
MEDIUM	torchvision/transforms/v2/_transform.py	129	# This method is called after subclassing has happened, i.e. `cls` is the subclass, e.g. `Resize`.
MEDIUM	torchvision/transforms/v2/_transform.py	134	# This method is called by `__prepare_scriptable__` to instantiate the equivalent v1 transform from the current
MEDIUM	torchvision/transforms/v2/_transform.py	153	# This method is called early on when `torch.jit.script`'ing an `nn.Module` instance. If it succeeds, the return
MEDIUM	torchvision/transforms/v2/functional/_color.py	263	# Create a view on the underlying output while pointing at the same data. We do this to avoid indexing twice.
MEDIUM	docs/source/conf.py	6	# This file is execfile()d with the current directory set to its

Verbosity Indicators9 hits · 16 pts

Severity	File	Line	Snippet
LOW	test/smoke_test.py	93	# Step 1: Initialize model with the best available weights
LOW	test/smoke_test.py	98	# Step 2: Initialize the inference transforms
LOW	test/smoke_test.py	101	# Step 3: Apply inference preprocessing transforms
LOW	test/smoke_test.py	104	# Step 4: Use the model and print the predicted category
LOW	torchvision/csrc/ops/box_iou_rotated_utils.h	182	// Step 1:
LOW	torchvision/csrc/ops/box_iou_rotated_utils.h	194	// Step 2:
LOW	torchvision/csrc/ops/box_iou_rotated_utils.h	205	// Step 3:
LOW	torchvision/csrc/ops/box_iou_rotated_utils.h	262	// Step 4:
LOW	torchvision/csrc/ops/box_iou_rotated_utils.h	279	// Step 5:

Redundant / Tautological Comments9 hits · 15 pts

Severity	File	Line	Snippet
LOW	packaging/pre_build_script_arm64.sh	25	# Set vcpkg to only build release packages
LOW	test/test_utils.py	132	# Check if modification is not in place
LOW	test/test_utils.py	257	# Check if modification is not in place
LOW	test/test_transforms.py	1743	# Check if content in center of both image and cropped output is same.
LOW	references/similarity/loss.py	102	# Check if labels[i] == labels[j]
LOW	torchvision/models/detection/roi_heads.py	423	# Set shape to [batchxCxHxW]
LOW	torchvision/models/detection/roi_heads.py	449	# Set shape to [batchxCxHxW]
LOW	release/apply-release-changes.py	56	# Check if .git directory exists
LOW	release/apply-release-changes.py	69	# Check if version is provided as command line argument

Slop Phrases5 hits · 8 pts

Severity	File	Line	Snippet
LOW	references/depth/stereo/train.py	527	# make sure to disable shuffling since the dataset is already shuffled
LOW	gallery/transforms/plot_custom_transforms.py	79	# While working with TVTensor classes in your code, make sure to
MEDIUM	gallery/transforms/plot_tv_tensors.py	172	# Alternatively, you can use the :func:`~torchvision.tv_tensors.set_return_type`
LOW	torchvision/transforms/v2/_augment.py	191	# after an image or video. However, we need to handle them in _transform, so we make sure to set them to True
MEDIUM	scripts/release_notes/retrieve_prs_data.py	207	# Then you can use classify_prs.py (as a notebook)

Score History

Severity Breakdown

Pattern Findings