Comments (2)
@brade31919
I have read your project code, and under your suggestion and explanation, I know what to do next.
Wish you have a happy day.
from radar_depth.
Hi @zazgf ,
It actually depends on the data you have, the sensor setup, and the dataset structure. For example, if you have radar data (3D point format) and an image, you have to get the 3D transformation from radar sensor coordinate to camera sensor coordinate. Then, you can transform the 3D points. With the camera intrinsics, you can do the projection onto image plane.
Then you have to preprocess the projected radar depth map and the image into similar format as the ones I used. After finishing all these steps, you can use the model to predict the depth maps for you.
Note that the model I provided was trained on nuscenes dataset (an outdoor dataset), so there might be some domain gaps.
from radar_depth.
Related Issues (19)
- Awesome! HOT 1
- Release date HOT 13
- How to obtain ground truth depth image? HOT 3
- About ver2 in code HOT 2
- Questions about hyperparameters and processed dataset HOT 7
- Question on the RGB - Radar alignment issue HOT 5
- Bidirectional radar sweeps HOT 2
- About train / val scene numbers HOT 2
- Without lidar HOT 5
- Evaluation error args = checkpoint['args'] HOT 7
- Visualization HOT 1
- About the pretrained argument HOT 2
- Can not evaluate provided pretrained models HOT 1
- Question about ref_chan in radar multisweep HOT 1
- max_depth or max-depth?
- can you release your dataset? HOT 1
- Evaluation of Pretrained Models
- Detailed documentation for the processed dataset.
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from radar_depth.