LaneATT, RESA-ERFNet, lane visualization improvements, and bug fixes

PytorchAutoDrive v3.2 (2022Q2 Release)

This release is a common update of the lane detection part, including LaneATT implementation, visualization improvements, and deployment supports. Importantly, users should be aware that this repo's lane detection testing use the same cache directory ./output, so simultaneous testing on the same dataset could lead to wrong results.
There are in total 16 closed issues, 8 merged PRs and 24 commits to master branch since v3.1.

Contributors: @cedricgsh @francis0407 @LittleJohnKhan @voldemortX

Major features

1. LaneATT #90 and its TensorRT conversion support (can't convert NMS of course). #102
2. RESA with ERFNet backbone. #74

Minor features, Docs, Refactors & Bug fixes

1. Lane detection visualization improvements (please refer to the updated VISUALIZATION.md for details.) #72
   • Added --style option for lane visualization, supports 3 styles: point, line & bezier
   • Added --gt-keypoint-path and --metric for GT comparison
   • Added a simple way to visualize directly on datasets (e.g., CULane, TuSimple)
2. Fixed a bug in RESA ONNX conversion. #95
3. Fixed a Python import bug that only occurs on some machines. #86
4. Some dissuasions on using OpenCV 3.x & 4.x that may be useful. #78 #80 (comment)

Known BC-Breaks

1. All python files named with dash (-) are renamed by _ (since we can't import -), all of them are config files. #72

Full Changelog: v3.1...v3.2