def main():
drone = tellopy.Tello()
try:
drone.connect()
drone.wait_for_connection(60.0)
container = av.open(drone.get_video_stream())
# skip first 300 frames
frame_skip = 300
while True:
for frame in container.decode(video=0):
if 0 < frame_skip:
frame_skip = frame_skip - 1
continue
start_time = time.time()
image = cv2.cvtColor(numpy.array(frame.to_image()),
cv2.COLOR_RGB2GRAY)
cv2.imshow('Original', image)
cv2.imshow('Canny', cv2.Canny(image, 100, 200))
cv2.waitKey(1)
frame_skip = int((time.time() - start_time) / frame.time_base)
except Exception as ex:
exc_type, exc_value, exc_traceback = sys.exc_info()
traceback.print_exception(exc_type, exc_value, exc_traceback)
print(ex)
finally:
drone.quit()
cv2.destroyAllWindows()
def recognize_face(self):
"""
Wait until a face is recognized. If openCV is configured, always return true
:return:
"""
if vision_enabled is False: # if opencv is not able to be imported, always return True
return True
face_cascade = cv2.CascadeClassifier(self.facial_recognition_model)
video_capture = cv2.VideoCapture(0)
while True:
# Capture frame-by-frame
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.cv.CV_HAAR_SCALE_IMAGE)
if len(faces) > 0:
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
return True
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 30 00:30:22 2017
@author: RSF
"""
import numpy as np
import opencv as cv2
cap = cv2.VideoCapture(0)
while(True):
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()