Following is the implementation of DeepVO architecture for predicting vehicle speed from a Video of Dash Camera.
├─── data-pre-processing/ : Source responsible for data-preprocessing
├─── video2im.py : Converts video into images
├─── data_loading.py : Custom dataset and data processing routine
├─── main.py : Main script to train and test the code
├─── models.py : Number of architecture definition to try out
├─── train.py : Methods to train, test and predict given model
├─── utils.py : Utilities such as save_images, denorm image.
TO BE UPDATED SOON