take_image_textual.py

import os
import csv
import shutil


prompt_file = '/group/xihuiliu/sky/reasoning/text_image/benchmark/prompt_200_final.txt'

output_csv = "/group/xihuiliu/sky/reasoning/human_eval/text_image.csv"
dest_folder = "/group/xihuiliu/sky/reasoning/human_eval/images_eval/text_image"
os.makedirs(dest_folder, exist_ok=True)

folders = [
    "/group/xihuiliu/sky/reasoning/images/text_image_new/bagel",
    "/group/xihuiliu/sky/reasoning/images/text_image_new/GPT",
    "/group/xihuiliu/sky/reasoning/images/text_image_new/hidream",
    "/group/xihuiliu/sky/reasoning/images/text_image_new/janus_pro_7B", 
    "/group/xihuiliu/sky/reasoning/images/text_image_new/sd30_medium",
]

# Indices of images to select from each folder
indices = [1,11,21,31,41,51,61,71,81,91,101,111,121,131,141,151,161,171,181,191]

# Read prompts
with open(prompt_file, 'r', encoding='utf-8') as f:
    prompts = [line.strip() for line in f.readlines()]

# with open(rewritten_prompt_file, 'r', encoding='utf-8') as f:
#     rewritten_prompts = [line.strip() for line in f.readlines()]

# Gather all image paths and names
image_entries = []
prompt = []
# rewritten_prompt = []

for idx in indices:
    for folder in folders:
        found = False
        for ext in ['.png']:
            img_name = f"{idx:04d}{ext}"
            img_path = os.path.join(folder, img_name)
            if os.path.exists(img_path):
                model_name = os.path.basename(folder)  # Get the folder name as model name
                
                image_entries.append((model_name[:3], img_name))
                
                new_img_name = f"{idx:04d}_{model_name}{ext}"  # Ensure the new image name is in the format '0001.png'
                dest_path = os.path.join(dest_folder, new_img_name)
                shutil.copy2(img_path, dest_path)
    
                prompt.append(prompts[idx - 1])  # idx is 1-based, list is 0-based
                # rewritten_prompt.append(rewritten_prompts[idx - 1])  # idx is 1-based, list is 0-based
                found = True
                break
        if not found:
            print(f"Warning: Image {img_name} not found in {folder}")

# Check that the number of images matches the number of prompts
if not (len(image_entries) == len(prompt)):
    print()
    raise ValueError("Number of images and lines in prompt files do not match!")

# Prepare CSV
header = [
    'model_name', 'image_name', 'prompt', 
    'correctness_1', 'correctness_2', 'correctness_3',
    'aesthetic_1', 'aesthetic_2', 'aesthetic_3'
]

with open(output_csv, 'w', newline='', encoding='utf-8') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(header)
    for idx, (img_path, img_name) in enumerate(image_entries):
        row = [
            img_path,           # model_name (image path as per your instruction)
            img_name,           # image_name
            prompt[idx],       # prompt
            '', '', '', '', '', ''   # blank columns
        ]
        writer.writerow(row)

print(f"CSV file created as {output_csv}.")