This is a person detector that is based on Cascade R-CNN architecture with ResNet50 backbone.
|AP||94.54% (internal test set)|
|Pose coverage||Standing upright, parallel to image plane|
|Support of occluded persons||YES|
|Min person height||100 pixels (on 1080p)|
Average Precision (AP) is defined as an area under the precision/recall curve. Intersection over union threshold of 0.5 is used for matching.
input, shape: [1x3x800x1344] - An input image in the format [BxCxHxW], where:
Expected color order is BGR.
boxesis a blob with the shape [N, 5], where N is the number of detected bounding boxes. For each detection, the description has the format [
y_min) - coordinates of the top left bounding box corner
y_max) - coordinates of the bottom right bounding box corner
conf- confidence for the predicted class
labelsis a blob with the shape [N], where N is the number of detected bounding boxes. It contains
labelper each detected box.
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