new log, no plate still ocr

app.py

@@ -83,18 +83,13 @@ def get_from_frame_automatic():
 
         # cv2.imwrite("plate.jpg", Ilp)
         Ilp, mode = plate_detect.run(img_np)
-        print("\t Mode:", mode)
 
         if Ilp is None:
-            print("\t No plate found")
             return make_automatic_res("", track_id, 0)
 
         split_plate = mode == "square"
 
-        ocr_start_time = time.time()
         ocr_result, elements = plate_ocr.run(mode, Ilp, "full", split_plate)
-        ocr_end_time = time.time()
-        print("\tOCR time:", ocr_end_time - ocr_start_time)
 
         confidence = check_plate_quality(elements)
         if confidence > 10 or confidence < 7:
@@ -163,13 +158,10 @@ def get_from_vehicle():
 
         # cv2.imwrite("plate.jpg", Ilp)
         Ilps, modes = plate_detect.run2(img_np)
-        print("\t Mode:", mode)
 
         if Ilps is None:
-            print("\t No plate found")
             return make_automatic_res("", track_id, 0)
 
-        ocr_start_time = time.time()
         longest = ''
         longest_i = 0
         for i, Ilp in enumerate(Ilps):
@@ -177,7 +169,6 @@ def get_from_vehicle():
             split_plate = mode == "square"
 
             ocr_result, elements = plate_ocr.run(mode, Ilp, "full", split_plate)
-            ocr_end_time = time.time()
             if len(ocr_result) >  len(longest):
                 longest = ocr_result
                 longest_i = i
@@ -185,8 +176,6 @@ def get_from_vehicle():
         ocr_result = longest
         Ilp = Ilps[longest_i]
 
-        print("\tOCR time:", ocr_end_time - ocr_start_time)
-
         confidence = check_plate_quality(elements)
         if confidence > 10 or confidence < 7:
             print("\t [WARNING] Too long/short plate:", ocr_result)
@@ -251,6 +240,7 @@ def get_from_plate():
         print_current_time()
         print (request.path)
         start_time = time.time()
+
         data = request.json
 
         img64 = data.get("img64", "")
@@ -268,6 +258,7 @@ def get_from_plate():
         return {"ocr": ocr_result}
     except Exception as ex:
         print (ex)
+        return {"ocr": ""}
 
 
 """
@@ -289,22 +280,28 @@ def get_from_frame():
     try:
         print_current_time()
         print(request.path)
+
         start_time = time.time()
         data = request.json
         img64 = data.get("img64", "")
         if img64 == "": return {"ocr": "", "plate": ""}
-        mode = data.get("mode", "long")  # ["long", "square"]
+        client_mode = data.get("mode", "long")  # ["long", "square"]
         display = data.get("display", "full") # ["full", "row2"]
+
         img_binary = extract_from_base64_str(img64)
         img_np = imageio.imread(io.BytesIO(img_binary))
-        Ilp, mode = plate_detect.run(img_np)
-        #  detect_stop = time.time()
-        #  print "Detect time:", detect_stop - detect_start
-        if Ilp is None: return {"ocr": "", "plate": ""}
-        print("\tMode:", mode)
 
-        split_plate = mode == "square"
+        Ilp, mode = plate_detect.run(img_np)
-        ocr_result, elements = plate_ocr.run(mode, Ilp, display, split_plate)
+
+        if Ilp is None:
+            Ilp = cv2.cvtColor(img_np, cv2.COLOR_RGB2GRAY)
+            Ilp = cv2.cvtColor(Ilp, cv2.COLOR_GRAY2BGR)
+            ocr_result, elements = plate_ocr.run(client_mode, Ilp, display, False)
+            end_time = time.time()
+            print("\tTotal time:", end_time - start_time)
+            return {"ocr": ocr_result, "plate": img64}
+
+        ocr_result, elements = plate_ocr.run(mode, Ilp, display, False)
         plate_result = base64.b64encode(cv2.imencode(".jpg", Ilp)[1]).decode("utf-8")
 
         end_time = time.time()
@@ -315,4 +312,8 @@ def get_from_frame():
         }
 
     except Exception as ex:
+        return {
+            "ocr": "",
+            "plate": ""
+        }
         print(ex)