- public mobilenet-ssd caffemodel from open model zoo
- Coverted to FP32 IR for inference
- Accuracy-aware quanitization INT8 using Post-Training Optimization Tool.
Run devcloud.intel.com tutorials/pot notebook for above steps.
Metric | FP32 | INT8 |
---|---|---|
Accuracy | 79.40% | 79.38% |
docker build -t test-container:latest .
docker run --rm -e PRECISION=INT8 -v ${PWD}/tmp:/home/openvino/data test-container:latest