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④[Comparison among Multiple Images!] A study on open-ended multi-image quality comparison: a dataset, a model and a benchmark.

Home Page: https://huggingface.co/q-future/co-instruct

License: MIT License

co-instruct's Introduction

Towards Open-ended Visual Quality Comparison

An study on open-ended multi-image quality comparison: a dataset, a model and a benchmark.

Demo

<script type="module" src="https://gradio.s3-us-west-2.amazonaws.com/3.50.0/gradio.js" ></script>

News

[Feb 24, 2024] A technical report for the data and model is coming soon.

Load Model

import torch
from transformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("q-future/co-instruct", 
                                             trust_remote_code=True, 
                                             torch_dtype=torch.float16,
                                             attn_implementation="eager", 
                                             device_map={"":"cuda:0"})

Chat

import requests
from PIL import Image


### Single Image
prompt = "USER: The image: <|image|> Which happens in this image: motion-blur, over-exposure, or under-exposure? ASSISTANT:"
url = "https://raw.githubusercontent.com/Q-Future/Q-Align/main/fig/singapore_flyer.jpg"
image = Image.open(requests.get(url,stream=True).raw)
model.chat(prompt, [image], max_new_tokens=200)

## Motion blur

### Double Image Comparison
prompt_cmp = "USER: The first image: <|image|>\nThe second image: <|image|>Which image has better quality, and why? ASSISTANT:"
url = "https://raw.githubusercontent.com/Q-Future/Q-Align/main/fig/boy_colorful.jpg"
image_2 = Image.open(requests.get(url,stream=True).raw)
model.chat(prompt_cmp, [image, image_2], max_new_tokens=200)

## The second image has better quality. The description indicates that the image has accurate exposure, precise focus, clear details, rich colors, and sufficient lighting. Additionally, the texture details are clear, and the composition is centered. In comparison, the first image has good clarity and rich texture details, but the lighting is slightly weak, which can affect the overall quality of the image. Therefore, the second image is of higher quality due to its accurate exposure, precise focus, clear details, rich colors, sufficient lighting, and centered composition.

co-instruct's People

Contributors

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