method | TRAIN mAP | VAL mAP | TRAIN Precision (infer_2) | VAL Precision | Test mAP |
---|---|---|---|---|---|
mtcnn + insightface + means knn (baseline) | none | 0.771192 | none | 0.82217 | none |
mtcnn + insightface + our FC + means knn | none | 0.365657 | 0.89025 | 0.4204 | none |
method | TRAIN Loss | TRAIN Precision (infer) | VAL Precision |
---|---|---|---|
our FC (512in_2048_512out) | 2.01 | 0.904674 | 0.365657 |
- Git clone the InsightFace_TF reposity.
- Train the model by train_fc_only.py script in InsightFace repo.
- Evaluate the validate set by eval_map_fc_only.py script.
- Run my report.py
- Then we will get a report.md
- export report.pdf by using the largest report.md printing page size.