I have designed code to detect number plates succesfully,But problem is arising when i need to extract number plate information using pytesseteract and store it in excel,It is not extracting number plate.Tried multiple attempts but didn't work,It would be great if someone helps me out.below is the code: import cv2 import pytesseract from ultralytics import YOLO import torch pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe' model=YOLO('C:\\users\\license_plate_detector.pt') video_path='C:\\users\\traffic_flow.mp4' cap = cv2.VideoCapture(video_path) def resize_frame(frame, size=(640,640)): return cv2.resize(frame, size, interpolation=cv2.INTER_LINEAR) license_plates = [] while cap.isOpened(): ret,frame = cap.read() if not ret: break frame_resized = resize_frame(frame) frame_tensor = torch.tensor(frame_resized).permute(2,0,1).unsqueeze(0).float() / 255.0 results = model(frame_sensor) for result in results: for bbox in result.boxes.xyxy: bbox = bbox.int().tolist() roi = frame_resized[bbox[1]:bbox[3], bbox[0]:bbox[2]] roi_gray = cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY) roi_thresh = cv2.threshold(roi_gray,0,255,cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1] plate_text = pytesseract.image_to_string(roi_thresh, config='--psm 8') license_plates.append(plate_text.strip()) cv2.rectangle(frame_resized, (bbox[0],bbox[1]),(bbox[2],bbox[3]), (0,255,0),2) cv2.putText(frame_resized, 'License Plate',(bbox[0],bbox[1] - 10), cv2.FONT_HERSHEY_SIMPLEX,0.9,(0,255,0),2) cv2.imshow('License plate detection', frame_resized) if cv2.waitKey(1) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() df = pd.DataFrame(license_plates, columns=['License Plate']) df.to_excel('extracted_license_plates.xlsx'. index=False) Continue reading...