ValueError: Expected y_min for bbox (0.27531645569620256, 68.33333333333333, 0.7927215189873418, 199.33333333333334, 10) to be in the range [0.0, 1.0], got 68.33333333333333.

[aliceinland]

🐛 Bug

When trying to perform data augmentation with bounding boxes and mask in coco format, this is the output the is produced.
The same problem was also reported in #947 but the problem still persists.

To Reproduce

Traceback (most recent call last):
  File "/workspace/deepfashion_train/train.py", line 216, in <module>
    main()
  File "/workspace/deepfashion_train/train.py", line 213, in main
    trainer.fit(model, data_module)
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 460, in fit
    self._run(model)
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 758, in _run
    self.dispatch()
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 799, in dispatch
    self.accelerator.start_training(self)
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/accelerators/accelerator.py", line 96, in start_training
    self.training_type_plugin.start_training(trainer)
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 144, in start_training
    self._results = trainer.run_stage()
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 809, in run_stage
    return self.run_train()
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 844, in run_train
    self.run_sanity_check(self.lightning_module)
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1112, in run_sanity_check
    self.run_evaluation()
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 954, in run_evaluation
    for batch_idx, batch in enumerate(dataloader):
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 517, in __next__
    data = self._next_data()
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1199, in _next_data
    return self._process_data(data)
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1225, in _process_data
    data.reraise()
  File "/opt/conda/lib/python3.8/site-packages/torch/_utils.py", line 429, in reraise
    raise self.exc_type(msg)
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 202, in _worker_loop
    data = fetcher.fetch(index)
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/workspace/deepfashion_train/dataset.py", line 199, in __getitem__
    transformed = self.trans(image=np.asarray(img), masks=mask_list, bboxes = boxes.detach().tolist(), class_labels = labels.detach().tolist())  #bboxes = bbox_labels)
  File "/opt/conda/lib/python3.8/site-packages/albumentations/core/composition.py", line 180, in __call__
    p.preprocess(data)
  File "/opt/conda/lib/python3.8/site-packages/albumentations/core/utils.py", line 62, in preprocess
    data[data_name] = self.check_and_convert(data[data_name], rows, cols, direction="to")
  File "/opt/conda/lib/python3.8/site-packages/albumentations/core/utils.py", line 70, in check_and_convert
    return self.convert_to_albumentations(data, rows, cols)
  File "/opt/conda/lib/python3.8/site-packages/albumentations/augmentations/bbox_utils.py", line 51, in convert_to_albumentations
    return convert_bboxes_to_albumentations(data, self.params.format, rows, cols, check_validity=True)
  File "/opt/conda/lib/python3.8/site-packages/albumentations/augmentations/bbox_utils.py", line 302, in convert_bboxes_to_albumentations
    return [convert_bbox_to_albumentations(bbox, source_format, rows, cols, check_validity) for bbox in bboxes]
  File "/opt/conda/lib/python3.8/site-packages/albumentations/augmentations/bbox_utils.py", line 302, in <listcomp>
    return [convert_bbox_to_albumentations(bbox, source_format, rows, cols, check_validity) for bbox in bboxes]
  File "/opt/conda/lib/python3.8/site-packages/albumentations/augmentations/bbox_utils.py", line 251, in convert_bbox_to_albumentations
    check_bbox(bbox)
  File "/opt/conda/lib/python3.8/site-packages/albumentations/augmentations/bbox_utils.py", line 327, in check_bbox
    raise ValueError(
ValueError: Expected y_min for bbox (0.27531645569620256, 68.33333333333333, 0.7927215189873418, 199.33333333333334, 10) to be in the range [0.0, 1.0], got 68.33333333333333.

The code that generates this error is:

self.trans = A.Compose([
                A.Resize(224, 224),
                        #A.Resize(256, 128),
                        #A.RandomRotate90(),
                A.Flip(),
                A.ColorJitter(brightness= 0.3, contrast= 0.3,saturation=0.1, hue=0.1, p=0.3),
                #A.Transpose(),
                A.GaussNoise(),
                #A.RandomCrop(width=224, height=224),
                A.OneOf([
                    A.MotionBlur(p=.5),
                    A.MedianBlur(blur_limit=3, p=0.5),
                    A.Blur(blur_limit=3, p=0.5),
                ], p=0.5),
                A.ShiftScaleRotate(shift_limit=0.0625, scale_limit=0.2, rotate_limit=45, p=0.5),
                A.OneOf([
                    A.OpticalDistortion(p=0.5),
                    A.GridDistortion(p=.3),
                    A.PiecewiseAffine(p=0.5),
                ], p=0.5),
                A.OneOf([
                    A.CLAHE(clip_limit=2),
                    A.Emboss(),
                    A.RandomBrightnessContrast(),            
                ], p=0.5),
                A.HueSaturationValue(p=0.5),
                    #A.Normalize(mean=(0.486, 0.459, 0.408), std=(0.229, 0.224, 0.225)),
                    ToTensorV2()
                ], bbox_params=A.BboxParams(format='coco', label_fields=['class_labels']))
        else:
            self.trans = A.Compose([
                A.Resize(224, 224),
                ToTensorV2()
            ], bbox_params = A.BboxParams(format='coco', label_fields=['class_labels']))

Expected behavior

Perform some image augmentations technique over the dataset with bounding boxes and masks.

Environment

• Albumentations version (e.g., 0.1.8): 1.0.1

• Python version (e.g., 3.7): 3.7
  

• OS (e.g., Linux): Linux
  

• How you installed albumentations (conda, pip, source): pip
  

[narain1]

#958

yet to be merged

I think this PR should be solving the issue but I am not sure of it Kindly check

[aliceinland]

Already updated the package, before publishing the issue, and the error is still present.

[narain1]

that PR has'nt been merged

[narain1]

!pip install git+https://github.com/albumentations-team/albumentations.git

its working fine now try installing with this

[srrobo92]

That command to install doesn't work.

ERROR: Could not find a version that satisfies the requirement albumentations-beta (from versions: none)
ERROR: No matching distribution found for albumentations-beta

[narain1]

1.0.3 worked fine for me would you mind sharing your bbox inputs

[aengusng8]

@srrobo92 Did you solve the problem?

[narain1]

pascal version was working fine for me i haven't checked upon yolo format