(Image from https://github.com/nianticlabs/monodepth2/tree/master/assets/test_image.jpg)
Ailia input shape(1, 3, 192, 640)
Range:[0, 1]
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]
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
Monocular depth estimation from a single image
PyTorch 0.4.1
ONNX opset = 10