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# Self-Driving-Car-Simulation | ||
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Using the Udacity self driving simulator and the technique of **Behavioral Cloning** trained a car to drive itself on a track in Unity3D simulation. | ||
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## Usage | ||
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### To run the pretrained model | ||
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Start the [the Udacity self-driving simulator](https://github.com/udacity/self-driving-car-sim), choose **lake track** and press the Autonomous Mode button. | ||
Then Run: | ||
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``` | ||
python Run_Simulation.py | ||
``` | ||
### To train your own model | ||
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Start the Simulator and record data in training mode for any track.Then Run: | ||
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``` | ||
python model.py | ||
``` | ||
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This will generate files `model-<val_loss>.h5`. Choose the file with minimum validation loss as the model file. | ||
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Then Run: | ||
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``` | ||
python Run_Simulation.py --path=[PATH TO MODEL] | ||
``` |