We tested the yolov5s and yolox model, and have same conclusion.
- yolov5-v5.0 版本,yolov5s 的 mAP = 36.6,V100 GPU.
Model | inputs | mAP / tensorrt7 - int8 | mAP / tensorrt8 - int8 |
---|---|---|---|
Percentile=99.99% / | |||
yolov5s | [1, 3, 640, 640] | 22.1 | 35.9 |
entropy2 | |||
yolov5s | [1, 3, 640, 640] | 27.9 | 32.7 |
minmax | |||
yolov5s | [1, 3, 640, 640] | 29.3 | 33.1 |
yolov5_trt7.trt size is 9.9M and yolov5_trt8.trt is 16M.
Why is the same INT8 calibration method of Tensorrt7 and Tensorrt8 precision gaps have not been played