Collect a dataset of (image, steering_angle) pairs and train a conv-net to predict the steering angle from the image.
- data/ folder, with .jpg as the image and .txt for the steering angle.
- Tested on Sample dataset:
- just unzip it in the project root and use the 'load_from_kaggle' dataset function (default)
- Related blogpost
- dataset class
- inference code
- training loop
- visualization:
- plot_sample function
- plotting based on error
- data augmentation to incentivize recovery behavior
- dataset resampling to under-sample straights / over-sample turns
- multi-image input to learn temporal context