app final worked

app.py

@@ -48,19 +48,19 @@ def main():
 
         os.chdir(YOLO_PATH)
 
-        try:
-            shutil.rmtree('runs/detect/temp_exp')
-        except:
-            pass
+        # try:
+        #     shutil.rmtree('runs/detect/temp_exp')
+        # except:
+        #     pass
 
-        image_path = 'odometer_image.jpg'
+        image_path = "../odometer_image.jpg"
         # command = f"python detect.py --weights {MODEL_PATH} --source {image_path} --img 640 --conf 0.4 --name 'temp_exp' --hide-labels --hide-conf --save-txt --exist-ok"
         command = f'''
         python detect.py \
             --weights {MODEL_PATH} \
             --source {image_path} \
             --img 640 \
-            --conf 0.4 \
+            --conf 0.5 \
             --name temp_exp \
             --hide-labels \
             --hide-conf \
@@ -106,7 +106,8 @@ def main():
             except:
                 pass
         else:
-            processed_image = image_np
+            display_text = "An odometer is not detected in the image!!!"
+            processed_image = cv2.imread('odometer_image.jpg')
 
         # Resize or preprocess the image as needed for your model
         # For example, resizing to a specific input size

xyxy_converter.py

@@ -13,8 +13,10 @@ def yolov5_to_image_coordinates(text_file, image_width=640, image_height=640):
     
     with open(text_file, 'r') as f:
         xywh_text = f.read()
-        
-    yolo_box = [float(i) for i in xywh_text.replace('\n', '').split(' ')[1:]]
+    
+    xywh_splitted = xywh_text.split('\n')[0]
+    yolo_box = [float(i) for i in xywh_splitted.split(' ')[1:]]   
+    # yolo_box = [float(i) for i in xywh_text.replace('\n', '').split(' ')[1:]]
         
     x_center, y_center, width, height = yolo_box
 

yolov5/runs/detect/temp_exp/labels/odometer_image.txt

@@ -0,0 +1,10 @@
+0 0.635938 0.4625 0.30625 0.325
+0 0.452344 0.715625 0.429688 0.18125
+0 0.452344 0.715625 0.429688 0.18125
+0 0.409375 0.657031 0.375 0.148438
+0 0.409375 0.657031 0.375 0.148438
+0 0.409375 0.657031 0.375 0.148438
+0 0.564844 0.671094 0.207813 0.0859375
+0 0.442187 0.621094 0.38125 0.139062
+0 0.510156 0.665625 0.254687 0.11875
+0 0.539062 0.586719 0.375 0.201562