This is a person detector that is based on MobileNetV2 backbone with ATSS head for 864x480 resolution.
Metric | Value |
---|---|
AP @ [ IoU=0.50:0.95 ] | 0.408 (internal test set) |
GFlops | 6.519 |
MParams | 2.394 |
Source framework | PyTorch* |
Average Precision (AP) is defined as an area under the precision/recall curve.
Name: input
, shape: [1x3x480x864] - An input image in the format [BxCxHxW], where:
Expected color order is BGR.
boxes
is a blob with shape: [N, 5], where N is the number of detected bounding boxes. For each detection, the description has the format: [x_min
, y_min
, x_max
, y_max
, conf
], where:x_min
, y_min
) - coordinates of the top left bounding box cornerx_max
, y_max
) - coordinates of the bottom right bounding box corner.conf
- confidence for the predicted classlabels
is a blob with shape: [N], where N is the number of detected bounding boxes. In case of person detection, it is equal to 1
for each detected box with person in it and 0
for the background.[*] Other names and brands may be claimed as the property of others.