This is a person, vehicle, bike detector that is based on MobileNetV2 backbone with ATSS head for 448x256 resolution.
|AP @ [ IoU=0.50:0.95 ]||0.274 (internal test set)|
Average Precision (AP) is defined as an area under the precision/recall curve.
1, 3, 256, 448 - An input image in the format
B, C, H, W, where:
Expected color order is BGR.
boxesis a blob with 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 shape:
N, where N is the number of detected bounding boxes. The value of each label is equal to predicted class ID (0 - vehicle, 1 - person, 2 - non-vehicle).
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