chentyjpm / person_detection_lite

Light-weight model with NCNN inference for person/pedestrian detection.

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person_detection_lite

Light-weight model with NCNN inference for person/pedestrian detection. The model is trained with maskrcnn but not for any specified perdestrain detection dataset. You can view the model structure easily with netron. The pytorch official mobilenetv2 is used as backbone.

*****large input size gives better results but slower

Demo images

demo image

demo image

Usages

  • Specified the model path and shape(should be divisible by 32) for input image in the file. Put into the ncnn/examples and build. Or you can directly compile with correctly links.

  • Anchors are built once for the model, which assumes that the input shape remains the same.

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Light-weight model with NCNN inference for person/pedestrian detection.


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