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.
1, 3, 800, 1344 in the format
B, C, H, W, where:
B- batch size
C- number of channels
H- image height
W- image width
Expected color order is
boxesis a blob with the shape
100, 5in the format
N, 5, where
Nis 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
100in the format
Nis the number of detected bounding boxes. It contains predicted class ID (0 - person) per each detected box.
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