Object Detection with Tensorflow, OpenCV, ImageAI and YOLO

Be sure to have the requirements installed.

import cv2 as cv #Loads ComputerVision / OpenCV
from imageai.Detection import ObjectDetection as od # Loads ImageAI
 
import numpy as np # Imports NumPY
import requests as req # Imports Requests
import os as os # Imports OS Module

url = 'https://p7.hiclipart.com/preview/124/937/193/architectural-engineering-engineer.jpg' # Image to be Downloaded
r = req.get(url) # Pass the URL as a Request.Get
with open('testimage.jpg', 'wb') as outfile: # Writes the Image to the system
    outfile.write(r.content)
img = cv.imread('testimage.jpg') # Reads an image with OpenCV
window_name = 'image' # Defines a Window Name
cv.imshow(window_name, img) # Show the Image on a Window
cv.waitKey(0) # Wait for any Key to be pressed
cv.destroyAllWindows() # Destroy (all) previous created Windows

Now that we tested that OpenCV is working let's edit that last piece of code, change it to a function, so we can reutilize it often. The complete code until now should look like this:

import cv2 as cv
from imageai.Detection import ObjectDetection as od
 
import numpy as np
import requests as req
import os as os
 
def showImage(img):
    window_name = 'image'
    cv.imshow(window_name, img)
    cv.waitKey(0)
    cv.destroyAllWindows()

https://www.codeproject.com/Articles/5270236/Installing-OpenCV-and-ImageAI-for-Object-Detection