It provides a number of pedestrian images with tagged information under the monitoring scene, and can study the pedestrian refinement recognition algorithm based on the location (head, upper body, lower body, foot, hat and packet), and automatically identify the attributes of the pedestrian in a traveler's image.

Filename	Size	Update
load_label.pyc	924	2016-12-31
train.py	6622	2017-01-03
data_count.py	902	2017-01-03
load_data.py	2428	2016-12-31
load_label.py	969	2016-12-31

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