Please use Quantization Aware Training to minimize mAP drop on transition to int8.
Related topics
Topic | Replies | Views | Activity | |
---|---|---|---|---|
Int8 calibration accuracy loss | 6 | 1941 | August 30, 2019 | |
Migrating INT8 calibration from TensorRT 6 to TensorRT 7 in YoloV3 and YoloV4 failed | 9 | 1543 | December 28, 2020 | |
TRT for yolov3: FP16 and INT8 optimization failed | 1 | 1138 | October 22, 2018 | |
INT8 Yolo model conversion led to accuracy drop in deepstream | 22 | 3729 | October 2, 2021 | |
TRT for yolov3: FP16 and INT8 optimization failed | 7 | 4413 | October 12, 2021 | |
INT8 Calibration YOLOv3 | 2 | 1041 | December 2, 2019 | |
After int8 quantification, the model does not detect any objects | 1 | 1223 | June 27, 2019 | |
Accuracy of TensorRT in INT8 | 0 | 349 | June 17, 2020 | |
TensorRT Python INT8 calibration failure | 3 | 1959 | November 23, 2018 | |
difference mAP with kINT8 Calibration | 2 | 468 | October 12, 2021 |