pfb2kitti

Convert the Playing for Benchmarks dataset 2D Object Detection information to the same format as the KITTI dataset.

Prerequisites

• python ≥ v3.5.4
• imageio ≥ v2.2.0
• opencv ≥ v3.3.1
• tqdm ≥ v4.19.4

Optional:

• kittipy v1.0

Installing

1. Download the Playing for Benchmarks dataset
2. (Optional) Download kittipy.py and put it in the same folder as the Jupyter Notebook
3. Launch the Jupyter Notebook server
4. Follow the instructions on the notebook
5. Enjoy!

Miscellaneous

Some images or folders are missing:

• Folders train/img/059 and val/img/019 are both empty.
• Folders train/img/060, train/img/061, train/img/062, train/img/063, train/img/064 and train/img/065 are missing.

Author

• Lucas Vandroux (冯凯) 【Github】 【LinkedIn】

I started this project to help me during my Master Thesis at Tsinghua University in China. If you find it useful, don't hesitate to use it and improve it.

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