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No more Tuple, List, Dict (#38797)

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* No more Tuple, List, Dict

* make fixup

* More style fixes

* Docstring fixes with regex replacement

* Trigger tests

* Redo fixes after rebase

* Fix copies

* [test all]

* update

* [test all]

* update

* [test all]

* make style after rebase

* Patch the hf_argparser test

* Patch the hf_argparser test

* style fixes

* style fixes

* style fixes

* Fix docstrings in Cohere test

* [test all]

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Matt
2025-06-17 19:37:18 +01:00
committed by GitHub
parent a396f4324b
commit 508a704055
1291 changed files with 14906 additions and 14941 deletions
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8
examples/pytorch/object-detection/run_object_detection.py
View File

@@ -66,9 +66,9 @@ def format_image_annotations_as_coco(
Args:
image_id (str): image id. e.g. "0001"
categories (List[int]): list of categories/class labels corresponding to provided bounding boxes
areas (List[float]): list of corresponding areas to provided bounding boxes
bboxes (List[Tuple[float]]): list of bounding boxes provided in COCO format
categories (list[int]): list of categories/class labels corresponding to provided bounding boxes
areas (list[float]): list of corresponding areas to provided bounding boxes
bboxes (list[tuple[float]]): list of bounding boxes provided in COCO format
([center_x, center_y, width, height] in absolute coordinates)
Returns:
@@ -101,7 +101,7 @@ def convert_bbox_yolo_to_pascal(boxes: torch.Tensor, image_size: tuple[int, int]
Args:
boxes (torch.Tensor): Bounding boxes in YOLO format
image_size (Tuple[int, int]): Image size in format (height, width)
image_size (tuple[int, int]): Image size in format (height, width)
Returns:
torch.Tensor: Bounding boxes in Pascal VOC format (x_min, y_min, x_max, y_max)

8
examples/pytorch/object-detection/run_object_detection_no_trainer.py
View File

@@ -67,9 +67,9 @@ def format_image_annotations_as_coco(
Args:
image_id (str): image id. e.g. "0001"
categories (List[int]): list of categories/class labels corresponding to provided bounding boxes
areas (List[float]): list of corresponding areas to provided bounding boxes
bboxes (List[Tuple[float]]): list of bounding boxes provided in COCO format
categories (list[int]): list of categories/class labels corresponding to provided bounding boxes
areas (list[float]): list of corresponding areas to provided bounding boxes
bboxes (list[tuple[float]]): list of bounding boxes provided in COCO format
([center_x, center_y, width, height] in absolute coordinates)
Returns:
@@ -103,7 +103,7 @@ def convert_bbox_yolo_to_pascal(boxes: torch.Tensor, image_size: tuple[int, int]
Args:
boxes (torch.Tensor): Bounding boxes in YOLO format
image_size (Tuple[int, int]): Image size in format (height, width)
image_size (tuple[int, int]): Image size in format (height, width)
Returns:
torch.Tensor: Bounding boxes in Pascal VOC format (x_min, y_min, x_max, y_max)