README.md

Evaluation

eval/ contains scripts for evaluating RadarHD's generated upsampled radar images.

Executing test_radarhd.py will create generated upsampled radar and ground truth lidar images in polar format for all the test data in the corresponding log folder. (Default: logs/13_1_20220320-034822/test_imgs/)
Convert polar images to cartesian.
```
  python3 pol_to_cart.py
```
The output of this is stored in for example, processed_imgs_13_1_20220320-034822_test_imgs/.
Convert cartesian images to point cloud for point cloud error evaluation.
```
  python3 image_to_pcd.py
```
Visualize the generated point clouds for qualitative comparison in Matlab.
```
 pc_vizualize.m
```
Generate quantitative point cloud comparison in Matlab (similar to eval/cdf.jpg)
```
  pc_compare.m
```