pretrained model for GAC
Pretrained model for Ground-aware Monocular 3D Object Detection for Autonomous Driving.
the model file could be placed under workdirs/Yolo3D/checkpoint/ (you should provide the path to the model file in the command line)
anchor_mean/std_Car.npy should be placed under workdirs/Yolo3D/output/training. You can reproduce the npy file with the scripts runned on the 'test split'.
Benchmark | Easy | Moderate | Hard |
---|---|---|---|
Car Detection | 92.35 % | 79.57 % | 59.61 % |
Car Orientation | 90.87 % | 77.47 % | 57.99 % |
Car 3D Detection | 21.60 % | 13.17 % | 9.94 % |
Car Bird's Eye View | 29.38 % | 18.00 % | 13.14 % |