Personal webpage for TFM Students.
View the Project on GitHub RoboticsLabURJC/2018-tfm-Jessica-Fernandez
I used (dl-DetectionSuite) to compare the different model that I have. In this ocasion I haven’t had the far cars in account. Also I have evaluated the pretrained networks that I used to do the training. With this condition I got the next results:
Network | mAP(Overall)(IOU=0.5:0.95) | mAR(Overall)(IOU=0.5:0.95) | Mean inference time (ms) |
---|---|---|---|
Keras | 0.617666 | 0.653703 | 3427 |
Yolo | 0.56836 | 0.615658 | 16894 |
Tensorflow | 0.454884 | 0.490377 | 76 |
Keras-Pretrained | 0 | 0 | 0 |
Yolo-Pretrained | 0 | 0 | 14162 |
Tensorflow-Pretrained | 0.0141532 | 0.0398529 | 142 |