Installing OpenCV and Real-Time Video Transmission on Raspberry Pi

This functionality is based on opencv, numpy, zmq, and base64 libraries to achieve real-time transmission of images captured by the camera to other locations for display or for machine vision processing by the host computer.

RPiCam:

#!/usr/bin/env/python3

# File name : server.py

# Description : for FPV video and OpenCV functions

# Website : www.adeept.com

# Author : William (Based on Adrian Rosebrock’s OpenCV code on pyimagesearch.com)

# Date: 2019/11/21

import cv2

import zmq

import base64

import picamera

from picamera.array import PiRGBArray

IP = ‘192.168.3.11’

camera = picamera.PiCamera()

camera.resolution = (640, 480)

camera.framerate = 20

rawCapture = PiRGBArray(camera, size=(640, 480))

context = zmq.Context()

footage_socket = context.socket(zmq.PAIR)

footage_socket.connect(‘tcp://%s:5555’%IP)

print(IP)

for frame in camera.capture_continuous(rawCapture, format=”bgr”, use_video_port=True):

frame_image = frame.array

encoded, buffer = cv2.imencode(‘.jpg’, frame_image)

jpg_as_text = base64.b64encode(buffer)

footage_socket.send(jpg_as_text)

rawCapture.truncate(0)

PC:

#!/usr/bin/python3

# File name : PC.py

# Author : William

# Date: 2019/12/23

import cv2

import zmq

import base64

import numpy as np

context = zmq.Context()

footage_socket = context.socket(zmq.PAIR)

footage_socket.bind(‘tcp://*:5555’)

while True:

frame = footage_socket.recv_string()

img = base64.b64decode(frame)

npimg = np.frombuffer(img, dtype=np.uint8)

source = cv2.imdecode(npimg, 1)

cv2.imshow(“Stream”, source)

cv2.waitKey(1)