How can i solve this problem?

This is a testing code for my school project:

import pyautogui as m
import time as t
import os
import cv2
import numpy as np
import keyboard
from PIL import Image
from roboflow import Roboflow
import io
import torch

path_song = "C:/Osu_test_data"

rf = Roboflow(api_key="API_KEY")
project = rf.workspace().project("osu_detection")
model = project.version(5).model

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

m.FAILSAFE = False
Song_Not_End = True

multiper = 0.81

x1, y1 = 0, 0
i = 0
circle_list = []

Song_Name = input("Song Name:")
if not os.path.exists(f'{path_song}/{Song_Name}'):
path = f'{path_song}/{Song_Name}/{Song_Name}.txt'
screenx, screeny = m.size()
screenx = int(screenx)
screeny = int(screeny)
if not os.path.exists(f'{path_song}/{Song_Name}/{Song_Name}test.png'):
    Screenshot = m.screenshot(f'{path_song}/{Song_Name}/{Song_Name}test.png')
image = cv2.imread(f'{path_song}/{Song_Name}/{Song_Name}test.png')
height, width = image.shape[:2]

with open(path, 'w+') as f:
    WriteOrPlay = input("Writein or Play?")
    if WriteOrPlay.lower() == "writein" or WriteOrPlay.lower() == "w":
        while Song_Not_End:
            if not os.path.exists(f'{path_song}/{Song_Name}/{Song_Name}{i}.png'):
                Screenshot = m.screenshot(f'{path_song}/{Song_Name}/{Song_Name}{i}.png')
            #image = cv2.cvtColor(np.array(Screenshot), cv2.COLOR_RGB2BGR)
            image = Image.fromarray(np.array(Screenshot))
            #retval, buffer = cv2.imencode('.jpg', image)
            #image_bytes = buffer.tobytes()

            image_tensor = torch.tensor(np.array(image)).unsqueeze(0).permute(0, 3, 1, 2).float().to(device)

            with torch.no_grad():
                image_array = image_tensor.cpu().numpy()
                predictions = model.predict(image_array)

            predictions = predictions.cpu().numpy()

            if len(predictions) > 0:
                x1 = int(predictions[0]['x'])
                y1 = int(predictions[0]['y'])
                    'position': (x1, y1),
                x1, y1 = width / 2, height / 2

            x1 = screenx / width * x1 * multiper
            y1 = screeny / height * y1 * multiper
            m.moveTo(x1, y1, duration=0)

            i += 1
            if keyboard.is_pressed("q"):
                Song_Not_End = False

            img = None

but it turns out that it has an error in it:

Unknown C++ exception from OpenCV code
  File "C:\Users\00\", line 60, in <module>
    predictions = model.predict(image_array)
cv2.error: Unknown C++ exception from OpenCV code

How can I solve it?

Here’s it’s an opencv forum not torch

nor do we support Roboflow.

please find an appropriate forum.

Sorry I thought it was just an opencv problem :smiling_face_with_tear:

perhaps, but the Roboflow library instantiated that object. it’s their responsibility to figure out what they did. we can’t possibly investigate everyone’s library code.