NeuralTalk2

NeuralTalk2 is an efficient image captioning code in Torch that runs on GPU. Compared to the original NeuralTalk this implementation is batched, uses Torch, runs on a GPU, and supports CNN fine-tuning.

All of these put together results in quite a large increase in training speed for the Language Model (~100 x). Image Captioning aims to describe photos with better accuracy. For users who just wanted to caption images, there would be a need to run the evaluation script on a pre-trained model checkpoint.

This pre-trained checkpoint can be downloaded. Auto image captioning seems to be an impossible thing for AI years ago. But since it has been made open source, people were able to make their contributions to further create a better program.

NeuralTalk2 is an early code release that works great but is slightly hastily released and probably requires some code reading of inline comments. This current code (and the pre-trained model) gets ~0.9 CIDEr, which would place it around spot #8 on the codalab leader board.

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