mobilenet_ssd

Mobilenet_SSD

input

(Image from https://pixabay.com/ja/photos/%E3%83%AD%E3%83%B3%E3%83%89%E3%83%B3%E5%B8%82-%E9%8A%80%E8%A1%8C-%E3%83%AD%E3%83%B3%E3%83%89%E3%83%B3-4481399/)

Ailia input shape(1, 3, 300, 300)
Range:[0, 1]

output

usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 mobilenet_ssd.py

If you want to specify the input image, put the image path after the --input option.
You can use --savepath option to change the name of the output file to save.

$ python3 mobilenet_ssd.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

By adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.

$ python3 mobilenet_ssd.py --video VIDEO_PATH

You can select a pretrained model by specifying -a mb1-ssd or -a mb2-ssd-lite(default).

Reference

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch

Framework

PyTorch 1.0 / 0.4

Model Format

ONNX opset = 10

Netron

mb2-ssd-lite.onnx.onnx.prototxt