---
# System prepended metadata

title: Existing Image Caption Implementation

---

# Existing Image Caption Implementation
A collection of image captioning source code.
## Ours'
* [Hsuanchia 1](https://colab.research.google.com/drive/1wWPK5wWA4jSW97xu0Un7ohLdeO0wJUIy#scrollTo=sIAgDhLRFxC6)
* [CNN + RNN model(No attention)](https://colab.research.google.com/drive/12mxdrrN3oKeOQn7ml8Fwx3CurQaFtdYy)
* [imgcap_0427](https://colab.research.google.com/drive/1ogP1zSQn1XT2rqRzdBQK-_mVi8QGdkfZ)
    * 終於會說人話的model
* [imgcap_0511.ipynb](https://github.com/hsuanchia/Image-caption/blob/main/imgcap_0511.ipynb)
* [generate_caption_0521csvout.ipynb](https://colab.research.google.com/drive/1WfA3zxhmD9WksehIyONsTBaQbKsuFJGR)
    * 用來從 feature map 產生 validation caption 和 BLEU score 的小工具
## Others'
* [Tensorflow Tutorial](https://www.tensorflow.org/tutorials/text/image_captioning)
* [Google Research](https://github.com/tensorflow/models/tree/archive/research/im2txt)
* [Awesom Image Captioning list](https://github.com/zhjohnchan/awesome-image-captioning#popular-implementations)
* [Keras](https://github.com/anuragmishracse/caption_generator)
* [Experiment by using tensorflow](https://github.com/yunjey/show-attend-and-tell)
* [Experiment by using Keras](https://github.com/zimmerrol/show-attend-and-tell-keras)
* [Tenserflow version with pre-train model(use MSCOCO 2014 dataset)](https://github.com/coldmanck/show-attend-and-tell)
    * 使用方法寫在 [RNN 待研究 01/27](https://hackmd.io/YwiBPoJZRVCmpNYD48PSnQ?both#0127)
* [Keras version](https://github.com/201528014227051/show_attend_and_tell.keras)
* [Tensorflow ver.](https://github.com/tensorflow/models/tree/archive/research/im2txt) by Google employees, use Inception v3 encoder
* [PyTorch ver.](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning)
* [Stanford 有一門課作業](https://cs231n.github.io/assignments2016/assignment3/)
* 