Please use Quantization Aware Training to minimize mAP drop on transition to int8.
Related topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Int8 calibration accuracy loss | 6 | 1982 | August 30, 2019 | |
| Migrating INT8 calibration from TensorRT 6 to TensorRT 7 in YoloV3 and YoloV4 failed | 9 | 1590 | December 28, 2020 | |
| TRT for yolov3: FP16 and INT8 optimization failed | 1 | 1157 | October 22, 2018 | |
| INT8 Yolo model conversion led to accuracy drop in deepstream | 22 | 3864 | October 2, 2021 | |
| TRT for yolov3: FP16 and INT8 optimization failed | 7 | 4462 | October 12, 2021 | |
| INT8 Calibration YOLOv3 | 2 | 1063 | December 2, 2019 | |
| After int8 quantification, the model does not detect any objects | 1 | 1245 | June 27, 2019 | |
| Accuracy of TensorRT in INT8 | 0 | 363 | June 17, 2020 | |
| TensorRT Python INT8 calibration failure | 3 | 1994 | November 23, 2018 | |
| difference mAP with kINT8 Calibration | 2 | 489 | October 12, 2021 |