Fixes
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@@ -9,18 +9,18 @@ sever = os.getenv('API_ROOT', 'localhost:8000')
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root_api_url = 'http://{}/local'.format(sever)
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base_path = '/app/data/'
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print("API_ROOT: " + str(root_api_url))
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print("API_ROOT: " + str(root_api_url), flush=True)
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time.sleep(900)
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try:
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while True:
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r = requests.get('{}/anonymize'.format(root_api_url))
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face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
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# print(r.text)
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# print(r.text, flush=True)
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response = r.json()
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for detection in response:
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print(str(detection['id']) + " Anonymization Started")
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print(str(detection['id']) + " Anonymization Started", flush=True)
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img_path = "{}{}".format(base_path, detection['source_image_path'])
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@@ -33,7 +33,7 @@ try:
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faces, rejects, weights = face_cascade.detectMultiScale3(gray, 1.1, 4, outputRejectLevels = 1)
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#Count faces is null dont anonimize file
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print(len(faces) + " Faces Found" )
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print(len(faces) + " Faces Found" , flush=True)
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if (len(faces) < 0):
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continue
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@@ -45,7 +45,7 @@ try:
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blurred_face = cv2.GaussianBlur(face_roi, (99, 99), 50)
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img[y:y+h, x:x+w] = blurred_face
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print(weights[i])
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print(weights[i], flush=True)
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text = "{}".format(weights[i])
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#cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
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#cv2.putText(img, text, (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)
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@@ -61,15 +61,15 @@ try:
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"source_image_path": new_img_path.replace(base_path,"")
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}
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response = requests.post('{}/anonymize'.format(root_api_url), json=data)
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print(str(detection['id']) + " Anonymized" )
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print(str(detection['id']) + " Anonymized" , flush=True)
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time.sleep(5)
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print("sleep")
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print("sleep", flush=True)
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time.sleep(900)
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except Exception as e:
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print("An exception occurred")
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print(str(e))
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print("An exception occurred", flush=True)
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print(str(e), flush=True)
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data = {"trace": str(e)}
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response = requests.post('{}/log'.format(root_api_url), json=data)
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