Start your portfolio environment by watching the two portfolio videos, installing Docker, downloading the jupyterlab docker image, obtain a dockerhub login and github login. Enter your two login ids with this assignment along with a snapshot of the successful jupyter lab browser page. For the set of input images for a YOLO classifier, perform image resizing and normalization. Use mean = [0.485, 0.456, 0.406] and std = [0.229, 0.224, 0.225] to “center” your data. Resize to (416, 416). Turn in your Ipython notebook file that was used for image preprocessing. You could pick your own docker base image.

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