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William Grunow, Sicelukwanda Zwane,
Zainoolabadien Karim, Jonathan Rayner
- Combines a Region Proposal Network (RPN) and a Region-based Convolutional Network (R-CNN)
- In principle the code works, but more training time needed
- Running on AWS GPU instance, tried Azure as well
- Wading through complicated distribution code with no time to train
- "Running" 6 GB mem networks on 4 GB GPU's
- Uploading image data to the cloud, then deleting it accidentally, breaking TensorFlow several times, trying to run convnets on CPU's
- SOTA accuracy and faster than previous R-CNN's
code used from https://github.com/yhenon/keras-frcnn
- Gunzip, MTN, and Pizza