Efficient Image Captioning code in Torch, runs on GPU

Code release of captioning videos using Neuraltalk2.

Neuraltalk2 in tensorflow

Dockerfiles for neuraltalk2

A REST interface to neuraltalk2

image captioning model in pytorch(finetunable cnn in branch "with_finetune", self-critical training is under my self-critical.pytorch repository.)

openFrameworks Addon For Neuraltalk2

Inspired by Andrey Karpathy's Neuraltalk 2 VGG16-LSTM image captioning model

Self-critical Sequence Training for Image Captioning

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This is a fork of neuraltalk2 and vqa that can write questions about images in ImageNet

Forked from https://github.com/karpathy/neuraltalk2.git

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Added a captioning server with a ReST interface to upload pictures and get captions in response

Simple photos/images gallery web application that captions the uploaded images by NeuralTalk2

Warning: Deprecated. Hi there, this code is now quite old and inefficient, and now deprecated. I am leaving it on Github for educational purposes, but if you would like to run or train image captioning I warmly recommend my new code release NeuralTalk2. NeuralTalk2 is written in Torch and is SIGNIFICANTLY (I mean, ~100x+) faster because it is batched and runs on the GPU. It also supports CNN finetuning, which helps a lot with performance.

fork from karpathy/neuraltalk2

neuraltalk2_web

Container for neuraltalk2

webRTC interface for neuraltalk2

Working online demo for neuraltalk2.

Efficient Image Captioning code in Torch, runs on GPU

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Simple tutorial(script) to reproduce https://github.com/karpathy/neuraltalk2 algorithm

This project is used as demo to show the neuraltalk2 result

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A basic image caption project based on torch, neuraltalk2 and django

This is a simplified version of Neuraltalk2. It takes general-features/sentence pairs as input, and uses them to train a language model.