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Change input file paths in demo commands #32

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6 changes: 3 additions & 3 deletions readme.md
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Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@ To trade-off speed and accuracy, there are two options:

# Run demo
```
python scripts/run_demo.py --model_dir weights/23-36-37/model_best_bp2_serialize.pth --left_file assets/left.png --right_file assets/right.png --intrinsic_file assets/K.txt --out_dir output/ --remove_invisible 0 --denoise_cloud 1 --scale 1 --get_pc 1 --valid_iters 8 --max_disp 192 --zfar 100
python scripts/run_demo.py --model_dir weights/23-36-37/model_best_bp2_serialize.pth --left_file demo_data/left.png --right_file demo_data/right.png --intrinsic_file demo_data/K.txt --out_dir output/ --remove_invisible 0 --denoise_cloud 1 --scale 1 --get_pc 1 --valid_iters 8 --max_disp 192 --zfar 100
```
| Flag | Meaning |
|-----------------------------|------------------------------------------------------------------------|
Expand Down Expand Up @@ -126,7 +126,7 @@ trtexec --onnx=output/post_runner.onnx --saveEngine=output/post_runner.engine --

To use TRT for inference:
```
python scripts/run_demo_tensorrt.py --onnx_dir output/ --left_file assets/left.png --right_file assets/right.png --intrinsic_file assets/K.txt --out_dir output/ --remove_invisible 0 --denoise_cloud 1 --get_pc 1 --zfar 100
python scripts/run_demo_tensorrt.py --onnx_dir output/ --left_file demo_data/left.png --right_file demo_data/right.png --intrinsic_file demo_data/K.txt --out_dir output/ --remove_invisible 0 --denoise_cloud 1 --get_pc 1 --zfar 100
```

# Internet-Scale Pseudo-Labeling
Expand Down Expand Up @@ -159,4 +159,4 @@ The dataset is available at HuggingFace: https://huggingface.co/datasets/nvidia/
Please contact [Bowen Wen](https://wenbowen123.github.io/) (bowenw@nvidia.com) for questions and commercial inquiries.

# Acknowledgement
We would like to thank Xutong Ren, Karsten Patzwaldt, Yonggan Fu, Saurav Muralidharan, Han Cai, Pavlo Molchanov, Yu Wang, Varun Praveen, Joseph Aribido and Jun Gao for their insightful early discussions for this project. We would also like to thank NVIDIA Isaac and TAO teams for their engineering support and valuable discussions. Thanks to the authors of [FoundationStereo](https://github.com/NVlabs/FoundationStereo), [Selective-IGEV](https://github.com/Windsrain/Selective-Stereo), [Stereo4D](https://github.com/Stereo4d/stereo4d-code) and [RAFT-Stereo](https://github.com/princeton-vl/RAFT-Stereo) for their code release. Finally, thanks to CVPR reviewers and AC for their appreciation of this work and constructive feedback.
We would like to thank Xutong Ren, Karsten Patzwaldt, Yonggan Fu, Saurav Muralidharan, Han Cai, Pavlo Molchanov, Yu Wang, Varun Praveen, Joseph Aribido and Jun Gao for their insightful early discussions for this project. We would also like to thank NVIDIA Isaac and TAO teams for their engineering support and valuable discussions. Thanks to the authors of [FoundationStereo](https://github.com/NVlabs/FoundationStereo), [Selective-IGEV](https://github.com/Windsrain/Selective-Stereo), [Stereo4D](https://github.com/Stereo4d/stereo4d-code) and [RAFT-Stereo](https://github.com/princeton-vl/RAFT-Stereo) for their code release. Finally, thanks to CVPR reviewers and AC for their appreciation of this work and constructive feedback.