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Introduction Facial ratios are one of the most objective methods available for analysing one's facial aesthetics, with the ideal measurements appearing frequently in the top % of faces. These ratios can be used to point out strengths and weaknesses, helping to improve facial harmony. While no single ratio determines attractiveness, the combination of many working together is what makes up a person's facial harmony.
If you are interested in measuring your own ratios (not sure why you would want to though JFL) you must first take a photo with the according instructions:
• Look directly into the camera
• Keep your head level with no tilt or rotation
• Ensure the camera is perpendicular to your face
• Stand 6 feet from the camera and zoom, minimising lens distortion
• Use appropriate lighting, ensuring all facial features are visible
Any photo used must fit this Criteria in order for an accurate rating to be concluded.
1.IdealFacialRatios
No.
Name
Ideal Ratio
1
FWHR
1.9─2.06
2
tFWHR
1.33─1.38
3
MFR
0.95─1.01
4
Jaw Width
0.9─1
5
Bigonial Width
85.5─92%
6
Neck Width
90─100%
7
Canthal Tilt
5─9°
8
ESR
44.3─47.3
9
ES
0.93─1.04
10
Inner Canthal Distance
25.5─28%
11
Outer Canthal DIstance
0.63─0.67
12
Medial Canthal Angle
20─42°
13
PFL : PHL
3─3.5
14
Lower Third
30.6─34
15
Cheekbones Height
81─100%
16
Chin to Philtrum
2.05─2.55
17
Lip Proportions
1.4─2
18
Nose to Mouth Width
1.38─1.53
19
Nose to Zygo
0.2-0.3
20
Nose Width to ICD
0.86─0.94
21
Nose Width to Height
0.66─0.85
22
Ipsilateral Alar Angle
85─95°
23
Eye Mouth Eye
47─50°
24
Nose to Chin
0.96─1.03
25
Nostrils Width
lined with canthus
26
Commisure alignment
lined with eye start point
27
Facial Thirds
1/3 of full face height
28
Brow Height
0.8─2
29
Bitemporal
84─95%
30
Jaw Frontal Angle
84.5─95°
31
IAA─JFA deviation
0─2.5°
32
Eyebrows Tilt
5─13°
Credit to @sjzso for Ratios
2.MeasuringGuide Note: Facial harmony is determined by the interaction of multiple ratios and features rather than any single measurement.
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i asked ai to make this code based on this idk if its accurate but yall can check urself. for context u need to use colab.research.google.com
put the picture u want to analysis into ur google drive(same account u logged into the website with) under the name photo.jpg
first cell:
from google.colab import drive
drive.mount("/content/drive")
second cell:
IMAGE_PATH = "/content/drive/MyDrive/photo.jpg"
third cell:
import os
import sys
import cv2
import numpy as np
import mediapipe as mp
from mediapipe.tasks import python
from mediapipe.tasks.python import vision
from google.colab import drive
# 1. Mount Drive & Load Model
drive.mount('/content/drive', force_remount=True)
IMAGE_PATH = "/content/drive/MyDrive/photo.jpg"
# --- Print Formatted Table ---
print(f"\n{'METRIC NAME':<32} | {'VALUE':<12} | {'IDEAL REF RANGE'}")
print("-" * 65)
for name, val in metrics.items():
ref = ref_ranges.get(name, "")
if isinstance(val, float):
unit = "°" if "Tilt" in name or "Angle" in name or "Deviation" in name else ("%" if "%" in name else "")
print(f"{name:<32} | {val:<12.2f}{unit} | {ref}")
else:
print(f"{name:<32} | {val:<12} | {ref}")
print("-" * 65)
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