Image Captioning : Show attend and tell pytorch

This repository contains Pytorch implementation of the image captioning model published in the paper Show attend and tell (Xu et al, 2015)

Environment

• Ubuntu 18.04
• CUDA 11.0
• cuDNN
• Nvidia GeForce RTX 2080Ti

Requirements

• Java 8
• Python 3.8.5
  • Pytorch 1.7.0
  • Other Python libraries specified in requirements.txt

How to Use

Step 1. Setup python virtual environment

$ virtualenv .env
$ source .env/bin/activate
(.env) $ pip install --upgrade pip
(.env) $ pip install -r requirements.txt

Step 2. Prepare data and path

Step 3. Training

Run

(.env) $ python train.py

You can change some hyperparameters by modifying config.py.

Step 4. Inference

Step 5. Prepare Evaluation Codes

Quantitative Results

Encoder	Trained on	BLEU4	CIDEr	METEOR	ROUGE_L
VGG	COCO2014	24.16	51.67	22.0	-
Resnet101	COCO2014	-	76.2	23.9	64.2

Qualitative Results

Training data

(1) Generated Caption : A Train traveling down tracks next to a Forest.

(2) Generated Caption : A man riding a Skateboard down a street.

Validation data

(1) Generated Caption : A group of people standing around a truck.

(2) Generated Caption : A dog sitting on a boat in the water.

Test data

(1) Generated Caption : A women is sitting at a table with a plate of food.

(2) Generated Caption : A person in a red jacket is standing on a snow covered slope.