Datasets:

add data processing scripts and ffhq dataset; implement image-label mapping and visualization
548d832
import json | |
import os | |
import sys | |
import pickle | |
from PIL import Image | |
from tqdm import tqdm | |
from utils import parse_face_attributes, json_element_cnt | |
def mapping(img_folders:str, label_folder:str): | |
new_data = [] | |
label_data = {} | |
img_folders = [img_folders+"/"+folder for folder in os.listdir(img_folders) if os.path.isdir(os.path.join(img_folders, folder))] | |
labels = [label for label in os.listdir(label_folder) if json_element_cnt(os.path.join(label_folder, label)) == 1] | |
# for label in labels: | |
for label in tqdm(labels, desc="mapping labels to images"): | |
label_data[label] = parse_face_attributes(os.path.join(label_folder, label)) | |
print(len(label_data.keys())) | |
print(list(label_data.keys())[:10]) | |
error = 0 | |
for label_file_name in tqdm(label_data.keys(), desc="mapping images to labels"): | |
img_idx = label_file_name.split(".")[0] | |
img_idx_str = f"img000{img_idx}.png" | |
img_idx_int = int(img_idx) | |
img_folder_idx = img_idx_int // 1000 | |
# print(img_folders[0]) | |
# print(img_folders[img_folder_idx]) | |
# print(f"loc: {os.path.join(img_folders[img_folder_idx], img_idx_str)}") | |
# print(os.path.exists(os.path.join(img_folders[img_folder_idx], img_idx_str))) | |
if os.path.exists(os.path.join(img_folders[img_folder_idx], img_idx_str)): | |
new_data.append({ | |
# "img": os.path.join(img_folders[img_folder_idx], img_idx_str), | |
"img": Image.open(os.path.join(img_folders[img_folder_idx], img_idx_str)), | |
"label": label_data[label_file_name]}) | |
else: | |
error += 1 | |
print(len(new_data)) | |
print(error) | |
with open("ffhq_data.pkl", "wb") as f: | |
pickle.dump(new_data, f) | |
if __name__ == "__main__": | |
img_folder = "./temp_data" | |
label_folder = "./temp_data/ffhq-features-dataset/json" | |
mapping(img_folder, label_folder) |