Image Captioning with CLIP and Kosmos

This project is an image captioning application that uses the CLIP model from OpenAI and the Kosmos model from Microsoft. The application takes an image as input and generates a detailed description of the image, including any subject matter, style of art if any, and the context.

Requirements

• Python 3.6 or later
• PyTorch 1.8.1 or later
• Transformers 4.35.0 or later
• diffusers[torch] 0.21.4 or later

Installation

1. Clone this repository.
2. Install the required packages.

git clone https:/lrzjason/kosmos-auto-captions.git
cd kosmos-auto-captions
pip install transformers==4.35.0 diffusers[torch]==0.21.4

Hardware Requirement

• >= 12GB vram nvidia graphic card

Usage

Set your input directory, output directory, and clip failed directory in the script. Run the script with parameter:

• input_dir: contains images which needs to caption
• output_dir: output directory which would store the images and captions
• clip_failed_dir: [optional] contains low scores(<15) captions and images

python autoCaptionsKosmos.py --input_dir /path/to/input --output_dir /path/to/output --clip_failed_dir /path/to/clip_failed

The script will process each image in the input directory, generate a caption for it, and save the caption to a text file in the output directory. If the CLIP score for the caption is below a certain threshold, the image and its caption will be saved to the clip failed directory instead.

How It Works

The script uses the CLIP model to calculate a score for each generated caption. The score is a measure of how well the caption matches the image. If the score is below a certain threshold, the script considers the caption to be a failure and saves the image and its caption to a separate directory.

The script also uses the Kosmos model to generate the captions. The Kosmos model is a vision-to-sequence model that can generate a sequence of words from an image.

Example Captions

The image features a man standing on a hill overlooking a city at sunset. The man is looking at the city, which is lit up by the setting sun. There are several trees in the scene, some closer to the foreground and others further back. The city appears to be a mix of modern and old buildings, creating a visually appealing atmosphere. The sky is filled with a beautiful red and orange sky, which contrasts with the city lights below. The setting sun creates a warm and vibrant atmosphere, making the scene even more captivating.