Image has out of bounds bounding boxes

[pranavpawar3]

I am working on Stanford drone dataset. I have converted the dataset to KITTI format using these scripts.
https://github.com/rockkingjy/DataFormat_sdd2kitti After conversion, I tried conversion from kitti format to VOC, but I am constantly getting this error.
`Traceback (most recent call last):
File "vod_converter/main.py", line 92, in
filter_images_without_labels=args.filter_images_without_labels))
File "vod_converter/main.py", line 40, in main
filter_images_without_labels=filter_images_without_labels)
File "/home/pranav/vod_converter/vod_converter/converter.py", line 134, in convert
validate_image_detections(image_detections)
File "/home/pranav/vod_converter/vod_converter/converter.py", line 153, in validate_image_detections
raise ValueError(f"Image {image} has out of bounds bounding box {detection}")
ValueError: Image {'id': '1758', 'path': '/home/pranav/test_training/annotation0/training/image_2/1758.png', 'segmented_path': None, 'width': 1424, 'height': 1088} has out of bounds bounding box {'label': 'Pedestrian', 'left': 231.0, 'right': 282.0, 'top': 1078.0, 'bottom': 1088.0}

`
Can you please guide me through this? Why am I getting this error and how to solve it.

[krosaen]

The code is sanity checking the detections:

        for detection in image_detection['detections']:
            if detection['right'] >= image['width'] or detection['bottom'] >= image['height']:
                raise ValueError(f"Image {image} has out of bounds bounding box {detection}")

it looks like a detection is overlapping the bottom of the image (zero based indexing, having a bottom of 1088 is over the max of 1087 which is height - 1). so perhaps you could double check the code that outputs the detections to make sure the dimensions are zero based?