semantic-segmentation-mobilenet-v3

Semantic segmentation with MobileNetV3

Input

(Video from https://github.com/NikolasEnt/PersonMask_TFLite/blob/master/data/test.mp4)

Shape : (N, 224, 224, 3)

Output

Shape : (N, 224, 224, 1)

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 semantic-segmentation-mobilenet-v3.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 semantic-segmentation-mobilenet-v3.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 semantic-segmentation-mobilenet-v3.py --video VIDEO_PATH

Reference

• Semantic segmentation with MobileNetV3
• Person Segmentation

Framework

TensorFlow

Model Format

ONNX opset=11

Netron

sem_seg.onnx.prototxt