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Description
This pull request is an attempt to implement data preprocessing for CULane lane detection dataset, and to address issue #14 .
Features
1. Usage
python process_culane.py --dataset_dir /path/to/CULane --output_dir /path/to/output
2. Workflow
Basically similar to TuSimple, except cropping with default crop margins:
Bottom margin of 160 pxl is to ensure the redundant car hood is cropped, trial-and-error derived.
Left and right margins of 390 pxl is to ensure W:H = 2:1 ratio. The cropped dimension is 860 x 430.
Also, there is a sampling rate to prevent too-similar frames leading to overfitting. Default sampling rate is 5.
@m-zain-khawaja could you please kindly review (which I believe we did previously) and merge this? I will proceed with the upload once the whole process run is finished.