Closed doLei-2001 closed 2 months ago
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Hello! Thanks for providing detailed information about the issue you're encountering. It seems like the error arises because the bounding box coordinates are not correctly normalized to the range (0, 1] after resizing and scaling transformations.
From your code snippet, it appears that you are normalizing the bounding box coordinates by dividing by target_size
after scaling them. However, the error suggests that some values might still be out of the expected range. This could potentially be due to floating-point precision issues or initial values slightly outside the expected range before scaling.
To address this, you might want to ensure that the bounding box coordinates are strictly within the (0, 1] range before they are passed to the augmentation pipeline. Here's a modified version of your label updating loop that includes an additional check and correction for bounding box coordinates:
updated_labels = []
for label in labels4:
class_id, x1, y1, x2, y2 = label
# Scale bounding box coordinates
new_x1 = x1 * scale_x
new_y1 = y1 * scale_y
new_x2 = x2 * scale_x
new_y2 = y2 * scale_y
# Normalize to [0, 1]
new_x1 /= target_size
new_y1 /= target_size
new_x2 /= target_size
new_y2 /= target_size
# Ensure coordinates are within (0, 1]
new_x1 = max(1e-5, min(new_x1, 1))
new_y1 = max(1e-5, min(new_y1, 1))
new_x2 = max(1e-5, min(new_x2, 1))
new_y2 = max(1e-5, min(new_y2, 1))
updated_labels.append([class_id, new_x1, new_y1, new_x2, new_y2])
Please make sure that the initial bounding box coordinates (x1, y1, x2, y2) are within the valid range before transformation. If the issue persists, you might want to add debug prints to check the values of coordinates at each step.
Let me know if this helps or if you have any more questions!
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I would like to ask, how can I modify this code so that it can run without an error?
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