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README.md

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@@ -24,7 +24,7 @@ Dataset](https://europe.naverlabs.com/research/computer-vision/proxy-virtual-wor
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[KITTI](http://www.cvlibs.net/datasets/kitti/)
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### Quick Start
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#### Train a Virtual KITTI Scene from a trained Scene Graph Models
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#### Train a Virtual KITTI 2 Scene
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```
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conda create -n neural_scene_graphs --file requirements.txt -c conda-forge -c menpo
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python main.py --config example_configs/config_vkitti2_Scene06.py
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tensorboard --logdir=example_weights/summaries --port=6006
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```
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#### Render a pretrained KITTI Scene from a trained Scene Graph Models
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Follow the setup instructions under [data preparation](#data-preperation) to setup the KITTI dataset.
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```
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conda create -n neural_scene_graphs --file requirements.txt -c conda-forge -c menpo
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conda activate neural_scene_graphs
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cd neural-scene-graphs
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bash download_weights_kitti.sh
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python main.py --config example_configs/config_kitti_0006_example_render.py
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tensorboard --logdir=example_weights/summaries --port=6006
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```
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---
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**_Disclaimer:_** The codebase is optimized to run on larger GPU servers with a lot of free CPU memory. To test on local and low memory,

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