Datasets:

add data processing scripts and ffhq dataset; implement image-label mapping and visualization
548d832
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) | |
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 |