All bounding boxes should have positive height and width

Describe the bug I created a dataset that already worked with TensorFlow. For some reason, it raises this error when trying to train a model.

Code and Data `from detecto import core, utils, visualize

dataset = core.Dataset(‘analyzepage/’) model = core.Model([‘taskRegion’, ‘pageCount’, ‘infoText’, ‘separateImage’, ‘element’])

model.fit(dataset)`

Environment:

• OS: Windows 10
• Python version: 3.6
• Detecto version: 1.1.6
• torch version: -
• torchvision version: -

Additional context Add any other context about the problem here.

[Esraanageh22]

oh finally it worked thank you!

[alankbi]

Looks like I made a mistake in my script, my bad - try this instead:

for i in range(len(dataset)):
    image, target = dataset[i]
    boxes = target['boxes']
    for box in boxes:
        if box[0] >= box[2] or box[1] >= box[3]: # min x > max x or min y > max y
            print(i, box)