Raspberry, python3.7, opencv and Tello.

tello_opencv_Cam.py

#
# --- (c) 01/2020 f41ardu
#
# Tello cam using opencv proof of concept
# issue: huge delay -> Tipp scale down video size for improved performance on Raspberry PI 3+ 
# May also work with older versions of opencv supporting incomming udp streams. 
#
 
#import numpy as np
# import opencv 4.2.0 
import cv2
import time

telloVideo = cv2.VideoCapture("udp://@0.0.0.0:11111")
#telloVideo.set(cv2.CAP_PROP_FPS, 3)

# wait for frame
ret = False
# scale down 
scale = 3

while(True):
    # Capture frame-by-framestreamon
    ret, frame = telloVideo.read()
    if(ret): 
    # Our operations on the frame come here
        height , width , layers =  frame.shape
        new_h=int(height/scale)
        new_w=int(width/scale)
        resize = cv2.resize(frame, (new_w, new_h)) # <- resize for improved performance 
        # Display the resulting frame
        cv2.imshow('Tello',resize)
    
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything done, release the capture
telloVideo.release()
cv2.destroyAllWindows()

Improved version!

when I use this , should i change ip and port?

Feel free to use the local IP address and port. 0.0.0.0 is seamless, use the locak adress of your system.

Thank you! Referring to your code, I modified the official example to the version of Python 3

how can i remove the latency i have 1 seconds of latency

Thank you so much! I managed to transfer the Tello project to Python 3 using your script!