Update app.py

app.py

@@ -3,6 +3,15 @@ import gradio as gr
 from PIL import Image
 import cv2
 import numpy as np
+import math
+
+FONT_SCALE = 8e-4  # Adjust for larger font size in all images
+THICKNESS_SCALE = 4e-4  # Adjust for larger thickness in all images
+
+import torch
+# from utils.facial_makeup import *
+import torchvision.transforms as transforms
+
 title = "DEEP FACE DEMO"
 distance_metric = ["cosine", "euclidean", "euclidean_l2",]
 detection_model = ["opencv", "retinaface", "mtcnn", "ssd", "dlib",]
@@ -39,6 +48,10 @@ def facial_recognition(img1, img2, metric, detection, recognition):
 
 
 def facial_analysis(img, detection):
+
+	height, width, _ = img.shape
+	font_scale = min(width, height) * FONT_SCALE
+	thickness = math.ceil(min(width, height) * THICKNESS_SCALE)
 	try:
 		objs = DeepFace.analyze(img_path = img, actions = ['age', 'gender', 'race', 'emotion'], detector_backend = detection)
 	except:
@@ -57,9 +70,9 @@ def facial_analysis(img, detection):
 			text,
 			(int(x), int(y) - 10),
 			fontFace = cv2.FONT_HERSHEY_SIMPLEX,
-			fontScale = 0.6,
+			fontScale = font_scale,
 			color = (0, 0, 255),
-			thickness=2
+			thickness=thickness
 		)
 
 	return Image.fromarray(img)