mosaic.txt

# 받은 url을 image 형태로 변환 ------------------------------------------------------------
    def url_to_image(url): 
        resp = urllib.request.urlopen(url)
        image = np.asarray(bytearray(resp.read()), dtype='uint8')
        image = cv2.imdecode(image, cv2.IMREAD_COLOR)

        return image

    img = url_to_image('https://cdn.mkhealth.co.kr/news/photo/202011/51210_51487_4422.jpg')

    cv2.imshow(img)

    # image를 모자이크 처리 --------------------------------------------------------------------------------
    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

    src = img
    src_gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)

    faces = face_cascade.detectMultiScale(src_gray, 1.3, 5)

    ratio = 0.1

    for x, y, w, h in faces:
        small = cv2.resize(src[y: y + h, x: x + w], None, fx=ratio, fy=ratio, interpolation=cv2.INTER_NEAREST)
        src[y: y + h, x: x + w] = cv2.resize(small, (w, h), interpolation=cv2.INTER_NEAREST)

    cv2.imshow(src)

    # array -> image -> url-----------------------------------------------------------------------------------
    
    src = cv2.cvtColor(src, cv2.COLOR_BGR2RGB)

    img_file = Image.fromarray(src) # array -> image
    
    buffered = BytesIO()
    img_file.save(buffered, format="PNG")
    img_str = base64.b64encode(buffered.getvalue()) # image -> url
    img_base64 = bytes("data:image/png;base64,", encoding='utf-8') + img_str