<aside> 📎

YOLOPv2 link: CAIC-AD/YOLOPv2: YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception

</aside>

• Result of <demo.py>

<aside> 📎

Midas link: https://pytorch.org/hub/intelisl_midas_v2/

</aside>

• Result of <only_with_binary_mask.py>
• Result of <binary_mask_with_skeleton.py>
• Result of <lane_segmentatoin.py> with bev using binary mask images + threshold
• Result of <lane_segmentatoin.py> with bev using color images + threshold
• Result of <psuedo_lidar.py> with depth map and 3d plotting for lane and path
• developed result of <psuedo_lidar_IPM_bev.py> with IPM_bev, mean average and smoothing path and plotting steering angle