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nilushacj avatar nilushacj commented on August 26, 2024 2

Hi again. I found that the solution to this lies in implementing a code to read and analyze the 'det' variable (cuda tensor) obtained in the inference script (predict.py). The number of rows it has will essentially be equivalent to the number of detections while there are 38 columns. The bounding box info could be obtained from the first 4 columns, the 5th column represents the confidence and columns 6 to 38, I believe, corresponds to the segmentation mask information. It's possible to implement a code to sort and filter instances as needed using this information :)

from yolov7-segmentation.

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