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Hello there. I want to run the Yolov5 object detection model through flask. I am getting this error. My codes are as follows. Can you help me please?
``import cv2 import numpy as np import cv2 import time import torch import pytesseract
model = torch.hub.load('ultralytics/yolov5', 'custom', path='/home/uni/Masaüstü/yolov5/plaka.pt') # plate detection
class VideoCamera(object): def init(self): self.video = cv2.VideoCapture("rtsp://admin:@192.168.1.24:554/mode=real&idc=1&ids=2")
def __del__(self): self.video.release() def get_frame(self): success, image = self.video.read() image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) prev_frame_time = 0 new_frame_time = 0 image = cv2.resize(image, (500, 300)) results = model(image) for _, det in enumerate(results.xyxy[0]): # convert from tensor to numpy box = det.detach().cpu().numpy()[:5] # convert from float to integer box = [int(x) for x in box] x1, y1, x2, y2, name = box # crop the license plate image part image = image[y1:y2, x1:x2].copy() label = "plate" color = (0, 255, 255) cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 255), 2) # draw a box on original image font = cv2.FONT_HERSHEY_SIMPLEX new_frame_time = time.time() fps = 1 / (new_frame_time - prev_frame_time) prev_frame_time = new_frame_time fps = int(fps) fps = str(fps) image=cv2.putText(image, fps, (7, 70), font, 3, (100, 255, 0), 3, cv2.LINE_AA) ret, jpeg = cv2.imencode('.jpg', image) return jpeg.tobytes()
``
The text was updated successfully, but these errors were encountered:
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Hello there. I want to run the Yolov5 object detection model through flask. I am getting this error. My codes are as follows. Can you help me please?
``import cv2
import numpy as np
import cv2
import time
import torch
import pytesseract
model = torch.hub.load('ultralytics/yolov5', 'custom', path='/home/uni/Masaüstü/yolov5/plaka.pt') # plate detection
class VideoCamera(object):
def init(self):
self.video = cv2.VideoCapture("rtsp://admin:@192.168.1.24:554/mode=real&idc=1&ids=2")
``
The text was updated successfully, but these errors were encountered: