[Python] ValueError: x_max is less than or equal to x_min for bbox

Discussão em 'Python' iniciado por Stack, Setembro 9, 2025.

  1. Stack

    Stack Membro Participativo

    I am using albumentations for a set of images and bboxes.

    My bounding box is in "yolo" format, i.e., (x_mid, y_mid, width, height), all normalised.

    While running albumentations for a set of bounding errors, above error comes (ValueError: x_max is less than or equal to x_min for bbox) when bounding box takes this value : [0.00017655367231635, 0.0002155172413793, 0.0003531073446327, 0.0004310344827586]. Here, x_min, y_min=[0,0].

    This error doesn't come for other bounding box - eg: [0.3060659468984962, 0.4418239134174312, 0.2412257095864662, 0.5496854701834863].

    This error is solved when I slightly increase all dimensions of ERROR bounding boxes, i.e. : Increase x_mid, y_mid, x_width and y_width by 0.01 for this ERROR BB [0.00017655367231635, 0.0002155172413793, 0.0003531073446327, 0.0004310344827586].

    Resulting ERROR FREE BB: [0.01017655367231635, 0.0102155172413793, 0.0103531073446327, 0.010431034482758601].

    Can anybody tell me a way to solve this error without changing dimensions of BB?

    I am using below code for albumentations:

    import albumentations as A

    A.Compose(
    [
    A.LongestMaxSize(max_size=IMAGE_SIZE),
    A.PadIfNeeded(
    min_height=IMAGE_SIZE, min_width=IMAGE_SIZE, border_mode=cv2.BORDER_CONSTANT
    ),
    A.Normalize(mean=[0, 0, 0], std=[1, 1, 1], max_pixel_value=255,),
    ToTensorV2(),
    ],
    bbox_params=A.BboxParams(format="yolo", min_visibility=0.4, label_fields=[]),
    )


    Detailed error:

    ---> 62 augmentations_norm = self.transform_norm(image=image, bboxes=bboxes)
    63 #print('Aug done')
    64 image = augmentations_norm["image"]

    /opt/conda/lib/python3.7/site-packages/albumentations/core/composition.py in __call__(self, force_apply, *args, **data)
    178 if dual_start_end is not None and idx == dual_start_end[0]:
    179 for p in self.processors.values():
    --> 180 p.preprocess(data)
    181
    182 data = t(force_apply=force_apply, **data)

    /opt/conda/lib/python3.7/site-packages/albumentations/core/utils.py in preprocess(self, data)
    60 rows, cols = data["image"].shape[:2]
    61 for data_name in self.data_fields:
    ---> 62 data[data_name] = self.check_and_convert(data[data_name], rows, cols, direction="to")
    63
    64 def check_and_convert(self, data, rows, cols, direction="to"):

    /opt/conda/lib/python3.7/site-packages/albumentations/core/utils.py in check_and_convert(self, data, rows, cols, direction)
    68
    69 if direction == "to":
    ---> 70 return self.convert_to_albumentations(data, rows, cols)
    71
    72 return self.convert_from_albumentations(data, rows, cols)

    /opt/conda/lib/python3.7/site-packages/albumentations/augmentations/bbox_utils.py in convert_to_albumentations(self, data, rows, cols)
    49
    50 def convert_to_albumentations(self, data, rows, cols):
    ---> 51 return convert_bboxes_to_albumentations(data, self.params.format, rows, cols, check_validity=True)
    52
    53

    /opt/conda/lib/python3.7/site-packages/albumentations/augmentations/bbox_utils.py in convert_bboxes_to_albumentations(bboxes, source_format, rows, cols, check_validity)
    300 def convert_bboxes_to_albumentations(bboxes, source_format, rows, cols, check_validity=False):
    301 """Convert a list bounding boxes from a format specified in `source_format` to the format used by albumentations"""
    --> 302 return [convert_bbox_to_albumentations(bbox, source_format, rows, cols, check_validity) for bbox in bboxes]
    303
    304

    /opt/conda/lib/python3.7/site-packages/albumentations/augmentations/bbox_utils.py in <listcomp>(.0)
    300 def convert_bboxes_to_albumentations(bboxes, source_format, rows, cols, check_validity=False):
    301 """Convert a list bounding boxes from a format specified in `source_format` to the format used by albumentations"""
    --> 302 return [convert_bbox_to_albumentations(bbox, source_format, rows, cols, check_validity) for bbox in bboxes]
    303
    304

    /opt/conda/lib/python3.7/site-packages/albumentations/augmentations/bbox_utils.py in convert_bbox_to_albumentations(bbox, source_format, rows, cols, check_validity)
    249 bbox = normalize_bbox(bbox, rows, cols)
    250 if check_validity:
    --> 251 check_bbox(bbox)
    252 return bbox
    253

    /opt/conda/lib/python3.7/site-packages/albumentations/augmentations/bbox_utils.py in check_bbox(bbox)
    331 x_min, y_min, x_max, y_max = bbox[:4]
    332 if x_max <= x_min:
    --> 333 raise ValueError("x_max is less than or equal to x_min for bbox {bbox}.".format(bbox=bbox))
    334 if y_max <= y_min:
    335 raise ValueError("y_max is less than or equal to y_min for bbox {bbox}.".format(bbox=bbox))

    ValueError: x_max is less than or equal to x_min for bbox (0.00390625, 0.00390625, 0.00390625, 0.00390625, 0.0).

    Continue reading...

Compartilhe esta Página