https://github.com/naivehobo/rambo
Driving Imitation
https://github.com/naivehobo/rambo
autonomous-vehicles computer-vision deep-learning driving-imitation tensorflow
Last synced: about 1 year ago
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Driving Imitation
- Host: GitHub
- URL: https://github.com/naivehobo/rambo
- Owner: naiveHobo
- Created: 2019-11-17T04:18:13.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-11-17T04:18:37.000Z (over 6 years ago)
- Last Synced: 2025-02-26T05:41:36.168Z (over 1 year ago)
- Topics: autonomous-vehicles, computer-vision, deep-learning, driving-imitation, tensorflow
- Language: Python
- Size: 9.33 MB
- Stars: 8
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Rambo
Implementation of Rambo from the second challenge for the Udacity Self-Driving Car initiative with the option to visualize the activation maps to see what your model learns.
## Instructions
Run the preprocessing script on the [data](https://github.com/udacity/self-driving-car/blob/master/datasets/CH2/Ch2_002.tar.gz.torrent) provided by Udacity:
```
python3 dataset.py --y angle
```
To get more details about running the training/inference code:
```
python3 main.py -h
```
#### Training
Train the model using the following command:
```
python3 main.py --mode train
```
Add the **--visualize** argument to the above command to build the activation map visualization graph as well.
#### Inference
You can run the trained model on your testing data using the following command:
```
python3 main.py --mode test
```