README.md

MonoDepth2

input

(Image from https://github.com/nianticlabs/monodepth2/tree/master/assets/test_image.jpg)

Ailia input shape(1, 3, 192, 640)
Range:[0, 1]

output

Note

This Software is licensed under the terms of the following Monodepth2 license which allows for non-commercial use only. For any other use of the software not covered by the terms of this license, please contact [email protected]

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 monodepth2.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 monodepth2.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 monodepth2.py --video VIDEO_PATH

Reference

Monocular depth estimation from a single image

Framework

PyTorch 0.4.1

Model Format

ONNX opset = 10

Netron

monodepth2_mono+stereo_640x192_enc.onnx.prototxt

monodepth2_mono+stereo_640x192_dec.onnx.prototxt