This is a person detector for the ASL Recognition scenario. It is based on ShuffleNetV2-like backbone that includes depth-wise convolutions to reduce the amount of computation for the 3x3 convolution block and FCOS head.
|Persons AP on COCO||80.0%|
|Minimal person height||100 pixel|
Average Precision (AP) is defined as an area under the precision/recall curve.
1, 3, 320, 320 in the format
1, C, H, W, where:
C- number of channels
H- image height
W- image width
Expected color order is
The net outputs blob with shape:
100, 5 in the format
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
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