Single image file command interface.

Author: telesoho

.vscode/settings.json

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+{
+    "python.linting.pylintArgs": [
+        "--extension-pkg-whitelist=cv2"
+    ]
+}

README.md

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 # faceblur
-Recognize and blur all face in photo
+Recognize and blur all faces in a photo.
+
+## requirement
+
+1. [opencv](https://github.com/opencv/opencv)
+1. [face recognize](https://github.com/ageitgey/face_recognition)
+
+## Usage
+python faceblur <source image> <dest image>
+
+Source image:
+![](sample.jpg)
+
+Blurred image:
+![](sample_blurred.jpg)

faceblur.py

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+'''
+Recognize and blur all faces in photos.
+'''
+import sys
+import cv2
+import face_recognition
+
+def face_blur(src_img, dest_img, zoom_in=1):
+    '''
+    Recognize and blur all faces in the source image file, then save as destination image file.
+    '''
+    # Initialize some variables
+    face_locations = []
+    photo = face_recognition.load_image_file(src_img)
+    # Resize image to  1/zoom_in size for faster face detection processing
+    small_photo = cv2.resize(photo, (0, 0), fx=1/zoom_in, fy=1/zoom_in)
+
+    # Find all the faces and face encodings in the current frame of video
+    face_locations = face_recognition.face_locations(small_photo, model="cnn")
+
+    if face_locations:
+        print(face_locations)
+    else:
+        print('Face not found')
+        exit(1)
+
+    #Blur all face
+    photo = cv2.imread(src_img)
+    for top, right, bottom, left in face_locations:
+        # Scale back up face locations since the frame we detected in was scaled to 1/zoom_in size
+        top *= zoom_in
+        right *= zoom_in
+        bottom *= zoom_in
+        left *= zoom_in
+
+        # Extract the region of the image that contains the face
+        face_image = photo[top:bottom, left:right]
+
+        # Blur the face image
+        face_image = cv2.GaussianBlur(face_image, (21, 21), 0)
+
+        # Put the blurred face region back into the frame image
+        photo[top:bottom, left:right] = face_image
+
+    #Save image to file
+    cv2.imwrite(dest_img, photo)
+
+if __name__ == '__main__':
+    if len(sys.argv) < 2:
+        print('faceblur v1.0.0 (c) telesoho.com')
+        print('Usage:python faceblur <src image> <dest image>')
+    else:
+        face_blur(sys.argv[1], sys.argv[2])