10.1.4. EXAMPLESΒΆ
This section describes Docker Image, Executing The Script, Multi-machine Instructions, MobileNetV1 Classification Model Training, RetinaNet Detection Model Training, YOLOv3 Detection Model Training, FCOS Detection Model Training, UNet Segmentation Model Training, PwcNet Optical Flow Prediction Model Training, PointPillars Detection Model Training , PointPillars Detection Model Training(No config), PointPillars Detection Model Training(No config && HAT Trainer), GaNet Lane Line Detection Model Training, FCOS3D Detection Model Training, Motr Multiple Object Track Model Training, CenterPoint Detection Model Training, StereoNet Binocular Depth Estimation Model Training, Bev Multi-task Model Training, Car Keypoint Detection Model Training, LidarMultiTask Model Training and DenseTNT Trajectory Prediction Model Training.
- 10.1.4.1. Docker Image
- 10.1.4.2. Executing The Script
- 10.1.4.3. Multi-machine Instructions
- 10.1.4.4. MobileNetV1 Classification Model Training
- 10.1.4.5. RetinaNet Detection Model Training
- 10.1.4.6. YOLOv3 Detection Model Training
- 10.1.4.7. FCOS Detection Model Training
- 10.1.4.8. UNet Segmentation Model Training
- 10.1.4.9. PwcNet Optical Flow Prediction Model Training
- 10.1.4.10. PointPillars Detection Model Training
- 10.1.4.11. PointPillars Detection Model Training (No config)
- 10.1.4.12. PointPillars Detection Model Training (No config and HAT Trainer)
- 10.1.4.13. GaNet Lane Line Detection Model Training
- 10.1.4.14. FCOS3D Detection Model Training
- 10.1.4.15. Motr Multiple Object Track Model Training
- 10.1.4.16. CenterPoint Detection Model Training
- 10.1.4.17. StereoNet Binocular Depth Estimation Model Training
- 10.1.4.18. Bev Multi-task Model Training
- 10.1.4.19. Car Keypoint Detection Model Training
- 10.1.4.20. lidarMultiTask Model Training
- 10.1.4.21. DenseTNT Trajectory Prediction Model Training