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I am Sai, I am interested in the Software Engineer position at Comma. I went ahead and checked out the programming challenge as per the website. I am attaching the labels 5.txt to 9.txt to this email. A brief about my approach towards the problem as stated below,
Solution:
Videos to Edge data:
-I created frames from the labeled video data. Then for each frame, I generated a Canny edge image
-Each canny edge image is then converted to a NumPy array
Combining Edge Data and Labels:
-I combined edge image NumPy data with the given label data(0.txt,1.txt,2.txt,3.txt, and 4.txt)
Training a VGG16 (Cross fold validation and final train):
-Using the above training data, I did a cross-fold validation
-I got less than 1% error when I did a cross-fold validation
-I went ahead and trained the VGG16 with all 5 labeled data
Predicting:
-Using the trained network I predicted the pitch and yaw angles for each frame in each video
I am looking forward to the next steps in the process. Thanks for your time and consideration.