(Image from https://github.com/tjqansthd/LapDepth-release/blob/master/example/kitti_demo.jpg)
(Image from https://github.com/tjqansthd/LapDepth-release/blob/master/example/nyu_demo.jpg)
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 lap-depth.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 directory of the output file to be saved.
$ python3 lap-depth.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH
By adding the --video
option, you can input the video and convert it by the style image. If you pass 0
as an
argument to VIDEO_PATH, you can use the webcam input instead of the video file.
$ python3 lap-depth.py --video VIDEO_PATH
You can specify the "model type" by specifying after the --model_type
option.
The model type is selected from "kitti", "kitti-grad", "nyu".
$ python3 lap-depth.py --model_type kitti
PyTorch
ONNX opset = 11