YOLOv3_640
2019-05-17 04:56:27
One of the test user for the EuroCity Persons Benchmark. Trained on day-time data only. The same training set with the published ECP PAMI2019 paper, height∈[20，∞]， occlusion∈[0, 80]. Based on YOLOv3 c++ version (https://github.com/pjreddie/darknet/wiki/YOLO:-Real-Time-Object-Detection ), configurations: 640*640, k-means anchor (k=9), random=1, lr = 1e-03, policy=steps 40000,45000, max_batches=50200.
| Method description: | One of the test user for the EuroCity Persons Benchmark. Trained on day-time data only. The same training set with the published ECP PAMI2019 paper, height∈[20，∞]， occlusion∈[0, 80]. Based on YOLOv3 c++ version (https://github.com/pjreddie/darknet/wiki/YOLO:-Real-Time-Object-Detection ), configurations: 640*640, k-means anchor (k=9), random=1, lr = 1e-03, policy=steps 40000,45000, max_batches=50200. |
| Up-/Downsampling: | 1.0 |
| Computation Environment: | Nvidia TitanX |
| Computation Time: | 0.1 |