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ykotseruba / PedestrianActionBenchmark

Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"
https://openaccess.thecvf.com/content/WACV2021/papers/Kotseruba_Benchmark_for_Evaluating_Pedestrian_Action_Prediction_WACV_2021_paper.pdf
MIT License
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Results Visualization #22

Closed aoteman233 closed 1 year ago

aoteman233 commented 2 years ago

Hello，Excuse me， As shown in your paper, how do you extract a sample of pedestrians crossing or not crossing the street from the dataset and compare it with the results obtained from the model test? The test program is for the entire dataset, how to extract the test results for a certain pedestrian?

ykotseruba commented 2 years ago

Hi, to visualize individual pedestrians you can use test_data dictionary (in the test() function for the model) which has pedestrian ids, bounding boxes, and other relevant information.

aoteman233 commented 1 year ago

thank you very much