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DID M3D

Input

Input

(Image from http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d)

Output

Output

Data Preparation

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 did_m3d.py

if you want to --savepath option to change the name of the output file to save.

$ python3 did_m3d.py --savepath SAVE_IMAGE_PATH

If you want to specify the input image, put the image path after the --input option.

$ python3 did_m3d.py --input IMAGE_PATH

The depth file and calib file are automatically found in the predetermined path.
If you want to specify directory or directly file path, put the path after the --calib_path option.

$ python3 did_m3d.py --input IMAGE_PATH --calib_path CALIB_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 did_m3d.py --video VIDEO_PATH

Reference

Framework

Pytorch

Model Format

ONNX opset=12

Netron

did_m3d.onnx.prototxt