Closed dps42 closed 3 years ago
We return None before NMS for simplicity, therefore, I think the time including matrix nms / thresholding and selecting top-k scoring masks.
thank you for the response. < 1ms measurement for everything seems incredibly fast.
Hi. I'm reading your SOLOv2 paper, which says Matrix NMS takes < 1 ms. How was the timing measured?
"For usage, we just need thresholding and selecting top-k scoring masks as the final predictions."
Does the < 1ms measurement include both thresholding and selecting top-k scoring masks too? (I think top-k is max_per_img = 100).
Or does it only include what's in "def matrix_nms()" in https://github.com/WXinlong/SOLO/blob/04c9c42803c3341b8f31b6e9ed0f5d32b7aee72a/mmdet/core/post_processing/matrix_nms.py ? If yes, what's the overall timing for the whole NMS process?
Thanks.