Initial commit

Dockerfile

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+# Use PHP with Apache as the base image
+FROM python:3.9-slim
+
+#Copy Project
+COPY . /app
+
+# Install any needed dependencies specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Start Anonimization
+CMD ["python", "app.py"]

app.py

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+import cv2
+import time
+import os
+import requests
+
+img_path ="image.png"
+treashold = float(5)
+sever = os.environ['API_ROOT']
+
+try:
+    r = requests.get('http://{}/local/detections/anonymize'.format(sever))
+    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+
+    for detection in r.json():
+        img = cv2.imread(img_path)
+        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        faces, rejects, weights = face_cascade.detectMultiScale3(gray, 1.1, 4, outputRejectLevels = 1)
+
+        i = 0
+        for (x, y, w, h) in faces:
+            confidence = float(weights[i])
+            if (confidence > treashold):
+                face_roi = img[y:y+h, x:x+w]
+                blurred_face = cv2.GaussianBlur(face_roi, (99, 99), 20)
+                img[y:y+h, x:x+w] = blurred_face
+
+                print(weights[i])
+                text = "{}".format(weights[i])
+                cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
+                cv2.putText(img, text, (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)
+
+            i = i +1
+
+        cv2.imwrite(img_path, img)
+
+except:
+    print("An exception occurred")

requirements.txt

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+opencv-python