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import cv2
import pytesseract
from PIL import Image
import os
pytesseract.pytesseract.tesseract_cmd = "C:/Users/LENOVO/AppData/Local/Programs/Tesseract-OCR/tesseract.exe"
cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(os.path.expanduser("C:/Users/LENOVO/Desktop/test/output.mp4"), fourcc, 20.0, (640, 480))
start_time = cv2.getTickCount()
seconds = 15
while True:
ret, frame = cap.read()
if not ret:
break
rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
pil_image = Image.fromarray(rgb_frame)
text = pytesseract.image_to_string(pil_image, lang='eng')
y0, dy = 30, 15
for i, line in enumerate(text.split('\n')):
y = y0 + i * dy
cv2.putText(frame, line, (10, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 1)
out.write(frame)
cv2.imshow('OCR', frame)
if (cv2.getTickCount() - start_time) / cv2.getTickFrequency() > seconds:
break
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
out.release()
cv2.destroyAllWindows()
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import cv2
import os
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(os.path.expanduser("~/Desktop/facedetection_output.mp4"), fourcc, 20.0, (640, 480))
start_time = cv2.getTickCount()
seconds = 15
while True:
ret, frame = cap.read()
if ret:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
out.write(frame)
cv2.imshow('Face Detection', frame)
if (cv2.getTickCount() - start_time) / cv2.getTickFrequency() > seconds:
break
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
out.release()
cv2.destroyAllWindows()
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