2020 Looking at People Challenge FG Identity-preserved human detection - Depth-thermal fusion

Starting kit

Download it here. It includes:

• predictions.zip: contains predictions.pkl, the predictions from the baseline submission over the validation set used (generated by the tiny YOLOv3 baseline model). It can serve as example to asses the format of your submissions.
• evaluation-metric.zip:

• evaluate.py: script used used to evaluate submissions. We provide all the necessary files to run the code and obtain the evaluation on predictions over the depth training data. You only need to run the script:

$ python evaluate.py input_depth_trainpart output_depth_trainpart

• input_depth_trainpart/: contains two folders, ref and res, which contain training partition ground_truth.pkl(reference) and depth-based predictions.pkl over groundtruth respectively.
• output_depth_trainpart/:a scores.txt file will be generated with the computed metrics.