add face attribute parsing utility and update .gitignore to exclude __pycache__

.gitignore

@@ -1 +1,2 @@
-main/temp_data
+main/temp_data
+main/__pycache__

main/mapping.py

@@ -0,0 +1,21 @@
+import json
+import os
+import sys
+import pickle
+from utils import parse_face_attributes
+
+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
+
+
+
+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"))

main/utils.py

@@ -0,0 +1,127 @@
+import json
+
+def parse_face_attributes(json_file:str):
+    with open(json_file, 'r', encoding='utf-8') as file:
+        data = json.load(file)
+    
+    data = data[0]
+
+    # 取出 faceAttributes 部分
+    face_attr = data.get('faceAttributes', {})
+    
+    result = {}
+    
+    # 1. 笑容：若 smile 大於 0.1 則視為 "smiling"，否則 "no smile"
+    smile_value = face_attr.get("smile", 0)
+    result['smile'] = "smiling" if smile_value > 0.1 else "no smile"
+    
+    # 2. 頭部姿勢 (headPose)
+    head_pose = face_attr.get("headPose", {})
+    pitch = head_pose.get("pitch", 0)
+    roll = head_pose.get("roll", 0)
+    yaw = head_pose.get("yaw", 0)
+    
+    # pitch：大於 5 為 "upward"，小於 -5 為 "downward"，否則 "neutral"
+    if pitch > 5:
+        pitch_cat = "upward"
+    elif pitch < -5:
+        pitch_cat = "downward"
+    else:
+        pitch_cat = "neutral"
+    
+    # roll：絕對值大於 5 為 "tilted"，否則 "neutral"
+    roll_cat = "tilted" if abs(roll) > 5 else "neutral"
+    
+    # yaw：大於 15 為 "turned right"，小於 -15 為 "turned left"，否則 "frontal"
+    if yaw > 15:
+        yaw_cat = "turned right"
+    elif yaw < -15:
+        yaw_cat = "turned left"
+    else:
+        yaw_cat = "frontal"
+    
+    result['headPose'] = {"pitch": pitch_cat, "roll": roll_cat, "yaw": yaw_cat}
+    
+    # 3. 性別 (gender)
+    result["gender"] = face_attr.get("gender", "unknown")
+    
+    # 4. 年齡 (age)：依年齡數值分類
+    age = face_attr.get("age", 0)
+    if age < 2:
+        age_cat = "baby"
+    elif age < 10:
+        age_cat = "child"
+    elif age < 20:
+        age_cat = "teenager"
+    elif age < 60:
+        age_cat = "adult"
+    else:
+        age_cat = "senior"
+    result["age"] = age_cat
+    
+    # 5. 面部毛髮 (facialHair)：若各項均不超過 0.1 則為 "none"
+    facial_hair = face_attr.get("facialHair", {})
+    hair_types = []
+    for key, value in facial_hair.items():
+        if value > 0.1:
+            hair_types.append(key)
+    result["facialHair"] = "none" if not hair_types else ", ".join(hair_types)
+    
+    # 6. 眼鏡狀態 (glasses)
+    result["glasses"] = face_attr.get("glasses", "NoGlasses")
+    
+    # 7. 情緒 (emotion)：取分數最高的情緒
+    emotion = face_attr.get("emotion", {})
+    if emotion:
+        emotion_category = max(emotion, key=emotion.get)
+    else:
+        emotion_category = "unknown"
+    result["emotion"] = emotion_category
+    
+    # 8. 模糊度 (blur)：以 blurLevel 為類別
+    blur = face_attr.get("blur", {})
+    result["blur"] = blur.get("blurLevel", "unknown")
+    
+    # 9. 曝光 (exposure)：以 exposureLevel 為類別
+    exposure = face_attr.get("exposure", {})
+    result["exposure"] = exposure.get("exposureLevel", "unknown")
+    
+    # 10. 噪音 (noise)：以 noiseLevel 為類別
+    noise = face_attr.get("noise", {})
+    result["noise"] = noise.get("noiseLevel", "unknown")
+    
+    # 11. 妝容 (makeup)：根據 eyeMakeup 與 lipMakeup 判斷
+    makeup = face_attr.get("makeup", {})
+    makeup_categories = []
+    if makeup.get("eyeMakeup", False):
+        makeup_categories.append("eye makeup")
+    if makeup.get("lipMakeup", False):
+        makeup_categories.append("lip makeup")
+    result["makeup"] = "no makeup" if not makeup_categories else ", ".join(makeup_categories)
+    
+    # 12. 配件 (accessories)：若無配件則回傳 "none"
+    accessories = face_attr.get("accessories", [])
+    result["accessories"] = "none" if not accessories else ", ".join([acc.get("type", "unknown") for acc in accessories])
+    
+    # 13. 遮擋 (occlusion)：若皆為 False 則為 "none"，否則列出被遮擋的部位
+    occlusion = face_attr.get("occlusion", {})
+    occlusion_list = [k for k, v in occlusion.items() if v]
+    result["occlusion"] = "none" if not occlusion_list else ", ".join(occlusion_list)
+    
+    # 14. 頭髮 (hair)：若 bald 大於 0.5 則為 "bald"，否則取 hairColor 中信心最高的顏色
+    hair = face_attr.get("hair", {})
+    if hair:
+        if hair.get("bald", 0) > 0.5:
+            hair_cat = "bald"
+        else:
+            hair_colors = hair.get("hairColor", [])
+            if hair_colors:
+                dominant_color = max(hair_colors, key=lambda x: x.get("confidence", 0))["color"]
+            else:
+                dominant_color = "unknown"
+            hair_cat = dominant_color
+    else:
+        hair_cat = "unknown"
+    result["hair"] = hair_cat
+    
+    return result