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писал приложение на python используя библиотеку beeware и opencv для подсчета количества труб на фото, когда пользователь нажимает на кнопку "Сделать фото", то программа зависает и вылазит следующая ошибка:

[ WARN:[email protected]] global cap_msmf.cpp:476 `anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772
[ WARN:[email protected]] global cap_msmf.cpp:488 `anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772
[ WARN:[email protected]] global cap_msmf.cpp:1769 CvCapture_MSMF::grabFrame videoio(MSMF): can't grab frame. Error: -1072875772

после открывается это же приложение поверх старого и все зависает окончательно, читал на некоторых форумах, что из-за драйвера может быть, я искал обновления для своей камеры, но их нет вот характеристика:

камера встроенная в ноутбук, питон 3.7, opencv-python 4.10.0.84, briefcase 0.3.9

помогите решить пожалуйста вот код:

import toga
from toga.style import Pack
from toga.style.pack import COLUMN, CENTER, ROW
import cv2
import numpy as np
import threading
import os
from ultralytics import YOLO
from PIL import Image
import io
import time
class PipeCounterApp(toga.App):
 def startup(self):
 self.main_window = toga.MainWindow(title=self.formal_name)
 self.main_window.size = (1920, 1080) # Set window size
 # Create a container for camera display and processing status
 self.camera_container = toga.Box(
 style=Pack(direction=COLUMN, padding=10, alignment=CENTER, background_color='#333333'))
 self.image_view = toga.ImageView(style=Pack(height=600, width=900))
 self.processing_label = toga.Label("", style=Pack(padding=(10, 10), font_size=20, color='#FFFFFF',
 text_align=CENTER))
 self.camera_container.add(self.image_view)
 self.camera_container.add(self.processing_label)
 # Create modern styled buttons
 self.capture_button = toga.Button("Сделать фото", on_press=self.capture_image,
 style=Pack(padding=(15, 25), font_size=18, background_color='#FFFFFF',
 color='#333333'))
 self.exit_button = toga.Button("Выйти", on_press=self.exit_app,
 style=Pack(padding=(15, 25), font_size=18, background_color='#FFFFFF',
 color='#333333'))
 # Create status label to display results
 self.status_label = toga.Label("Нажмите 'Сделать фото' что бы посчитать количество труб",
 style=Pack(padding=(10, 10), font_size=18, color='#333333', text_align=CENTER))
 # Organize elements in a column
 button_box = toga.Box(style=Pack(direction=ROW, alignment=CENTER, padding=10, background_color='#333333'))
 button_box.add(self.capture_button)
 button_box.add(self.exit_button)
 main_box = toga.Box(style=Pack(direction=COLUMN, alignment=CENTER, padding=10, background_color='#333333'))
 main_box.add(self.camera_container)
 main_box.add(self.status_label)
 main_box.add(button_box)
 self.main_window.content = main_box
 self.main_window.show()
 # Initialize camera
 self.camera = cv2.VideoCapture(0)
 # Load model
 self.model = YOLO('C:/Users/User/PycharmProjects/dinal_count_pipe/yolo_dataset/best.pt')
 # Folder to save processed images
 self.processed_images_folder = 'processed_images'
 os.makedirs(self.processed_images_folder, exist_ok=True)
 # Start thread to display camera feed
 self.camera_thread = threading.Thread(target=self.update_camera_feed, daemon=True)
 self.camera_thread.start()
 def update_camera_feed(self):
 while True:
 ret, frame = self.camera.read()
 if ret:
 # Convert image to RGB
 frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
 self.display_image(frame_rgb)
 else:
 self.status_label.text = "Failed to capture image."
 # Reduce sleep time to increase FPS
 time.sleep(0.00001) # Update frame every 10 ms
 def capture_image(self, widget):
 self.processing_label.text = "Processing... Please wait."
 ret, frame = self.camera.read()
 if ret:
 image_path = 'captured_image.jpg'
 cv2.imwrite(image_path, frame)
 count = self.process_image(image_path)
 self.status_label.text = f"Pipe Count: {count}"
 # Save processed image with annotations
 self.save_processed_image(frame, count)
 os.remove(image_path)
 else:
 self.status_label.text = "Failed to capture image."
 self.processing_label.text = "" # Clear text after processing
 def process_image(self, image_path):
 try:
 results = self.model.predict(image_path, save=False)
 count = len(results[0].boxes)
 return count
 except Exception as e:
 print(f'Error processing image: {e}')
 return 0
 def save_processed_image(self, frame, count):
 try:
 # Draw annotations on the image
 annotated_frame = frame.copy()
 for box in self.model.predict('captured_image.jpg')[0].boxes:
 x1, y1, x2, y2 = map(int, box.xyxy[0])
 cv2.rectangle(annotated_frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
 cv2.putText(annotated_frame, f'Pipe', (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
 # Save annotated image
 processed_image_path = os.path.join(self.processed_images_folder, f'processed_image_{count}.jpg')
 cv2.imwrite(processed_image_path, annotated_frame)
 except Exception as e:
 print(f'Error saving processed image: {e}')
 def display_image(self, frame):
 try:
 # Convert image from RGB to format suitable for Toga
 pil_image = Image.fromarray(frame)
 with io.BytesIO() as output:
 pil_image.save(output, format="PNG")
 data = output.getvalue()
 # Create a toga Image object
 image = toga.Image(data=data)
 self.image_view.image = image
 except Exception as e:
 print(f'Error displaying image: {e}')
 def exit_app(self, widget):
 self.main_window.close()
 def shutdown(self):
 if self.camera.isOpened():
 self.camera.release()
def main():
 return PipeCounterApp('PipeCounterApp', 'com.example.pipecounter')
if __name__ == '__main__':
 main().main_loop()