This model presents a person attributes classification algorithm analysis scenario. It produces probability of person attributions existing on the sample and a position of two point on sample, which can be used for color prob (like, color picker in graphical editors)
|Pedestrian pose||Standing person|
|Min object width||80 pixels|
|Supported attributes||is_male, has_bag, has_backpack, has hat, has longsleeves, has longpants, has longhair, has coat_jacket|
input, shape: [1x3x160x80] - An input image in following format [1xCxHxW], where
- C - number of channels - H - image height - W - image width The expected color order is BGR.
has_coat_jacket]. Value > 0.5 means that an attribute is present.
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