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Traffic-Visualization
We provide visualization figures of various traffic prediction methods on various benchmarks. You can plot your own visualization with tested results (e.g., work_dirs/exp_name/saved) by vis_video.py. Note that --vis_dirs denotes visualize all experimental folders under the path, and --vis_channel can select the channel for visualization. For example, run plotting the first channel of TaxiBJ with the script:
python tools/visualizations/vis_video.py -d taxibj -w work_dirs/exp_name --vis_channel 0 --index 0 --save_dirs fig_taxibj_vis- We provide GIF visualizations of experiments in configs/taxibj for TaxiBJ (32x32 resolutions).