This is a person detector that is based on Cascade R-CNN architecture with ResNet50 backbone.
|AP @ [ IoU=0.50:0.95 ]||0.442 (internal test set)|
Average Precision (AP) is defined as an area under the precision/recall curve.
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
label(0 - person) per each detected box.
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