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Hello author, thank you for your work!
Why did the MIOU decrease significantly (approximately 5 points:32->27) when only counting the occupancy results within the field of view of the front camera? I set my own camera mask to ignore the rest of the space:
At the same time, I attempted to train using only the images from the front camera, and used the camera mask to only calculate the occupancy loss within the field of view of the front camera. The results were similar.
The text was updated successfully, but these errors were encountered:
Hello author, thank you for your work!
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Why did the MIOU decrease significantly (approximately 5 points:32->27) when only counting the occupancy results within the field of view of the front camera? I set my own camera mask to ignore the rest of the space:
At the same time, I attempted to train using only the images from the front camera, and used the camera mask to only calculate the occupancy loss within the field of view of the front camera. The results were similar.
The text was updated successfully, but these errors were encountered: