CommaAI

Comma AI Speed Test Challenge

Goal : Predict the speed of teh car from the video

Process

1. Pass all the arguments and initialize the parameters
2. Create dictionary for Lucas Kanade Optical flow calculations: Tracking and Extracting features initiazlized. Load training speed per frame values from text file.
3. Construct a mask on the frame, to focus on road for speed calculations.
4. Convert Color Frame -> Gray -> Gaussian BLur removing noise
5. Calculate optical Flow for every frame by using Shi-Tomasi Corner detection
6. Create a window of visualization of good features.
7. Split the data into training and validation and calculate moving average for both datasets.
8. Fir a linear regression model and calculate Mean Square error, hf factor.
9. Finally from the hf factor generated we predict speef for the test video and save it in a text file.