my

app.py

@@ -39,15 +39,15 @@ def calculate_iou(bbox1, bbox2):
     return iou
 
 
-cropped_dir = "./mnt/cropped_images/"
+cropped_dir = "./app/cropped_images/"
 if os.path.exists(cropped_dir):
         shutil.rmtree(cropped_dir)
 os.makedirs(cropped_dir, exist_ok=True)
 
-output_dir1 = "./mnt/Folder1"
-output_dir2 = "./mnt/Folder2"
-output_dir3 = "./mnt/Folder3"
-UPLOAD_FOLDER = "./mnt/data1"
+output_dir1 = "./app/Folder1"
+output_dir2 = "./app/Folder2"
+output_dir3 = "./app/Folder3"
+UPLOAD_FOLDER = "./app/data1"
 os.makedirs(output_dir1, exist_ok=True)
 os.makedirs(output_dir2, exist_ok=True)
 os.makedirs(output_dir3, exist_ok=True)
@@ -88,20 +88,20 @@ def process_image():
     )
     bounding_box_annotator = sv.BoundingBoxAnnotator()
     label_annotator = sv.LabelAnnotator()
-    image_dir = "./mnt/data1"
-    files = os.listdir('./mnt/data1')
+    image_dir = "./app/data1"
+    files = os.listdir('./app/data1')
     files.sort()
     files = files[0:100]
     print(files)
     counter = 0
     for ii in files:
-        random_image_data = cv2.imread('./mnt/data1/' + ii)
-        random_image_data1 = cv2.imread('./mnt/data1/' + ii)
-        results = model(source='./mnt/data1/' + ii, conf=0.07)[0]
+        random_image_data = cv2.imread('./app/data1/' + ii)
+        random_image_data1 = cv2.imread('./app/data1/' + ii)
+        results = model(source='./app/data1/' + ii, conf=0.07)[0]
         detections = sv.Detections.from_ultralytics(results)
         annotated_image = bounding_box_annotator.annotate(scene=random_image_data, detections=detections)
         annotated_image = label_annotator.annotate(scene=annotated_image, detections=detections)
-        save_path = "./mnt/Folder1/" + "detection" + ii
+        save_path = "./app/Folder1/" + "detection" + ii
         cv2.imwrite(save_path, annotated_image)
         print(f"Annotated image saved at {save_path}")
         bounding_boxes = results.boxes.xyxy.cpu().numpy()
@@ -117,7 +117,7 @@ def process_image():
                 cropped_image_path = os.path.join(cropped_dir, f"cropped_object_{i + 1}.jpg")
                 cv2.imwrite(cropped_image_path, cropped_image)
                 print(f"Enhanced cropped image saved at {cropped_image_path}")
-        print(f"Checking contents of /mnt/data: {bounding_box_save_path}")
+        print(f"Checking contents of /app/data: {bounding_box_save_path}")
         print(f"Directory listing: {os.listdir('/mnt/data')}")
         print(f"Bounding box coordinates saved at {bounding_box_save_path}")
         reader = easyocr.Reader(