Fixes

app.py

@@ -2,18 +2,25 @@ import cv2
 import time
 import os
 import requests
+import json
 
-treashold = float(os.getenv('FACE_TRASHOLD', '0,5'))
-sever = os.getenv('API_ROOT', 'localhost')
+treashold = float(os.getenv('FACE_TRASHOLD', '0.5'))
+sever = os.getenv('API_ROOT', 'localhost:8000')
 root_api_url = 'http://{}/local'.format(sever)
 
 try:
     while True:
         r = requests.get('{}/anonymize'.format(root_api_url))
         face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+        response =  r.json()
+
+        for detection in response:
+            img_path = "/data/{}".format(detection['source_image_path'])
+
+            #Skip Non existing files
+            if (not os.path.exists(img_path)):
+                continue
 
-        for detection in r.json():
-            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)
@@ -38,14 +45,14 @@ try:
             cv2.imwrite(new_img_path, img)
 
             data = {
-                "id": detection.id,
+                "id": detection['id'],
                 "source_image_path": new_img_path
             }
             response = requests.post('{}/anonymize'.format(root_api_url), json=data)
         
-        time.sleep(3)
+        time.sleep(900)
 
 except Exception as e:
     print("An exception occurred")
-    data = {"trace": e.__traceback__,}
+    data = {"trace": str(e)}
     response = requests.post('{}/log'.format(root_api_url), json=data)