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main_gender_age.py

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+from deepface import DeepFace
+from PIL import Image, ImageDraw, ImageFont
+import os
+
+def extract_gender_and_age(input_image_path, output_directory):
+    try:
+        # Load the input image using Pillow
+        input_img = Image.open(input_image_path)
+
+        # Extract gender and age predictions
+        result = DeepFace.analyze(input_image_path, actions=['gender', 'age'], enforce_detection=False)
+        gender_stats = result[0]['gender']
+        age = int(result[0]['age'])
+        print("Predicted Gender:", gender_stats)
+        print("Predicted Age:", age)
+
+        # Select the dominant gender label
+        gender = max(gender_stats, key=gender_stats.get)
+
+        # Create a drawing object
+        draw = ImageDraw.Draw(input_img)
+        font = ImageFont.load_default()
+        position_gender = (10, 10)  # Top-left corner for gender
+        position_age = (10, 30)  # Below gender information
+
+        # Write gender and age information on the image
+        draw.text(position_gender, f"Gender: {gender} - {gender_stats[gender]:.2f}%", font=font, fill=(255, 255, 255))
+        draw.text(position_age, f"Age: {age} years", font=font, fill=(255, 255, 255))
+
+        # Create the output directory if it doesn't exist
+        os.makedirs(output_directory, exist_ok=True)
+
+        # Save the output image as JPEG with a filename based on predicted gender
+        output_filename = f"{gender.lower()}_age_{age}.jpg"
+        output_path = os.path.join(output_directory, output_filename)
+        input_img.save(output_path, format='JPEG')
+
+    except Exception as e:
+        print(f"Error: {e}")
+
+if __name__ == "__main__":
+    # Specify the paths for input images and the output directory
+    input_directory = "input/"
+    output_directory = "output/"
+
+    # Get a list of all image files in the input directory
+    image_files = [f for f in os.listdir(input_directory) if os.path.isfile(os.path.join(input_directory, f))]
+
+    # Process each image file in the input directory
+    for image_file in image_files:
+        input_path = os.path.join(input_directory, image_file)
+
+        extract_gender_and_age(input_path, output_directory)
+
+    print("Gender and age extraction complete. Output saved as JPEG to", output_directory)