Image Caption 看图说话python代码

# Image Captioning We reimplemented the complicated [Google' Image Captioning](https://github.com/tensorflow/models/tree/master/im2txt) model by simple [TensorLayer](https://github.com/zsdonghao/tensorlayer) APIs. This script run well under Python2 or 3 and TensorFlow 10 or 11. ### 1. Prepare MSCOCO data and Inception model Before you run the scripts, you need to follow Google's [setup guide]((https://github.com/tensorflow/models/tree/master/im2txt)), and setup the model, ckpt and data directories in *.py. - Creat a ``data`` folder. - Download and Preprocessing MSCOCO Data [click here](https://github.com/tensorflow/models/tree/master/research/im2txt) - Download the Inception_V3 CKPT [click here](https://github.com/tensorflow/models/tree/master/research/slim) ### 2. Train the model - via ``train.py`` ### 3. Evaluate the model - via ``evaluate.py`` ### 4. Generate captions by given image and model - via ``run_inference.py`` ### 5. Evaluation - [tylin/coco-caption](https://github.com/tylin/coco-caption/blob/master/cocoEvalCapDemo.ipynb)