add data processing scripts and ffhq dataset; implement image-label mapping and visualization

data/check.py

@@ -0,0 +1,14 @@
+import json
+import os
+import sys
+import pickle
+from PIL import Image
+from tqdm import tqdm
+
+# load the data(ffhq_data.pkl)
+with open("ffhq_data.pkl", "rb") as f:
+    data = pickle.load(f)
+
+# check the data
+print(len(data))
+print(data[0])

data/ffhq_data.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:013973d521f1c1ce1085d3e29320b05496018f28f8b2aa55343e8b466ab2aaba
+size 865201251

data/plot.py

@@ -1,3 +1,49 @@
 import os
+import sys
+import pickle
+from PIL import Image
+import random
 import matplotlib.pyplot as plt
-import numpy as np
+
+# load the data(ffhq_data.pkl)
+with open("ffhq_data.pkl", "rb") as f:
+    data = pickle.load(f)
+
+# 假設 data 已經從 ffhq_data.pkl 載入
+# 隨機抽取 5 張圖片
+selected_data = random.sample(data, 5)
+
+# 建立 1x5 的子圖區域，調整畫布大小以避免文字重疊
+fig, axes = plt.subplots(1, 5, figsize=(20, 4))
+
+for ax, item in zip(axes, selected_data):
+    img = item['img']         # PIL 圖片物件
+    label = item['label']     # 標籤字典
+
+    # 分離 headPose 與其他標籤資料
+    head_pose = label.get("headPose", None)
+    other_labels = {k: v for k, v in label.items() if k != "headPose"}
+    
+    # 顯示圖片
+    ax.imshow(img)
+    ax.axis('off')
+    
+    # 格式化 headPose 文字（若存在），並以多行呈現
+    if head_pose:
+        head_pose_text = "headPose:\n" + "\n".join([f"{k}: {v}" for k, v in head_pose.items()])
+    else:
+        head_pose_text = ""
+        
+    # 格式化其他標籤文字
+    other_text = "\n".join([f"{k}: {v}" for k, v in other_labels.items()])
+    
+    # 將 headPose 文字顯示在圖片上方（利用 ax.set_title）
+    if head_pose_text:
+        ax.set_title(head_pose_text, fontsize=10, pad=10)
+    
+    # 將其他標籤文字顯示在圖片下方
+    ax.text(0.5, -0.1, other_text, transform=ax.transAxes, fontsize=10,
+            ha='center', va='top')
+
+plt.tight_layout()
+plt.savefig("output.png", bbox_inches='tight')

main/mapping.py

@@ -2,20 +2,44 @@ import json
 import os
 import sys
 import pickle
-from utils import parse_face_attributes
+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 = []
-    img_folders = [folder for folder in os.listdir(img_folders) if os.path.isdir(os.path.join(img_folders, folder))]
-    labels = os.listdir(label_folder)
-    for folder in img_folders:
-        pass
-
+    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)
-    print(os.listdir(img_folder))
-    print(os.path.isdir("./temp_data/00000"))
+    mapping(img_folder, label_folder)

main/utils.py

@@ -1,5 +1,11 @@
 import json
 
+def json_element_cnt(json_file:str):
+    with open(json_file, 'r', encoding='utf-8') as file:
+        data = json.load(file)
+    
+    return len(data)
+
 def parse_face_attributes(json_file:str):
     with open(json_file, 'r', encoding='utf-8') as file:
         data = json.load(file)