import os import csv import shutil # prompt_file = "/group/xihuiliu/sky/reasoning/common_sense/prompts.txt" # rewritten_prompt_file = "/group/xihuiliu/sky/reasoning/common_sense/rewrite.txt" # output_csv = "/group/xihuiliu/sky/reasoning/human_eval/entity.csv" # dest_folder = "/group/xihuiliu/sky/reasoning/human_eval/images_eval/entity" # folders = [ # "/group/xihuiliu/sky/reasoning/images/common_sense/bagel", # "/group/xihuiliu/sky/reasoning/images/common_sense/GPT", # "/group/xihuiliu/sky/reasoning/images/common_sense/hidream", # "/group/xihuiliu/sky/reasoning/images/common_sense/janus_pro_7B", # "/group/xihuiliu/sky/reasoning/images/common_sense/sd30_medium", # ] prompt_file = "/group/xihuiliu/sky/reasoning/physics/prompts_physics.txt" rewritten_prompt_file = "/group/xihuiliu/sky/reasoning/physics/prompts_physics_rewrite.txt" output_csv = "/group/xihuiliu/sky/reasoning/human_eval/physics.csv" dest_folder = "/group/xihuiliu/sky/reasoning/human_eval/images_eval/physics" folders = [ "/group/xihuiliu/sky/reasoning/images/physics/bagel", "/group/xihuiliu/sky/reasoning/images/physics/GPT", "/group/xihuiliu/sky/reasoning/images/physics/hidream", "/group/xihuiliu/sky/reasoning/images/physics/janus_pro_7B", "/group/xihuiliu/sky/reasoning/images/physics/sd30_medium", ] os.makedirs(dest_folder, exist_ok=True) # 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) == len(rewritten_prompt)): print() raise ValueError("Number of images and lines in prompt files do not match!") # Prepare CSV header = [ 'model_name', 'image_name', 'prompt', 'rewritten_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 rewritten_prompt[idx], # rewritten_prompt '', '', '', '', '', '' # blank columns ] writer.writerow(row) print(f"CSV file created as {output_csv}.")