Progress Clean Up

app.py

@@ -3,16 +3,17 @@ import time
 import os
 import requests
 
-treashold = float(5)
+treashold = float(os.getenv('FACE_TRASHOLD', '0,5'))
 sever = os.getenv('API_ROOT', 'localhost')
 root_api_url = 'http://{}/local'.format(sever)
 
 try:
-    r = requests.get('{}/detections/anonymize'.format(root_api_url))
+    while True:
+        r = requests.get('{}/anonymize'.format(root_api_url))
         face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
 
         for detection in r.json():
-        img_path = "/data/{}".format(detection.filename)
+            img_path = "/data/{}".format(detection.source_image_path)
             img = cv2.imread(img_path)
             gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
             faces, rejects, weights = face_cascade.detectMultiScale3(gray, 1.1, 4, outputRejectLevels = 1)
@@ -37,10 +38,12 @@ try:
             cv2.imwrite(new_img_path, img)
 
             data = {
-            "detection_id": detection.id,
+                "id": detection.id,
-            "detection_path": new_img_path
+                "source_image_path": new_img_path
             }
-        response = requests.post('{}/detections/anonymized'.format(root_api_url), json=data)
+            response = requests.post('{}/anonymize'.format(root_api_url), json=data)
+        
+        time.sleep(3)
 
 except Exception as e:
     print("An exception occurred")