Object Detection Using OpenCV Python | Object Detection OpenCV Tutorial | Simplilearn

In this video on Object Detection Using OpenCV Python, we will learn how to create an Object detection system using the OpenCV Python library. This Object Detection OpenCV Tutorial will help you to understand what object detection is and what OpenCV is, followed by a hands-on lab demo in which we will detect an object from an image, video, and live webcam demo using the OpenCV python library.

00:00 Object Detection Using OpenCV Python
02:14 What is OpenCV?
02:59 What is Object Detection?
03:35 Hands-on-lab-demo

What is OpenCV?

OpenCV is a free and open-source software library for computer vision and machine learning. It is written in C++, although it provides bindings for several programming languages, including Python, Java, and MATLAB.
The purpose of OpenCV was to provide a common foundation for computer vision applications and to speed up the usage of machine perception in commercial goods.

What is Object Detection?

Object detection is a computer vision mechanic that involves identifying and localizing objects of interest within an image or a video. It is a challenging task as it involves not only recognizing the presence of an object but also detecting its precise location and size within the image or video.
Object detection algorithms typically use deep learning techniques, such as CNN, to analyze the image or video and identify objects. These algorithms can also determine the boundaries of the objects by drawing a bounding box around them.

Object detection is widely used in a variety of applications, such as autonomous vehicles, surveillance systems, and medical imaging. It is also used for tasks such as face detection, pedestrian detection, and traffic sign recognition.

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[suhas]

SystemError: <class 'cv2.dnn.DetectionModel'> returned a result with an exception set..what to do for this error

[devendrakoribilli]

how to make custom config and frozen files if we are in need to detect some other objects like grape bunches

[yashsinghal]

I can't find the exact video that you have used in your code and if i m importing some other video it is showing an error and asking for resize please attach the link you have used for video in opencv

[AkhilKumar-lres]

hello sir,
img = cv2.imread("boy.jpg")

plt.imshow(img)

I'm getting this error in the last line can you guide me on how I can able to solve it.
Error: " Image data of dtype object cannot be converted to float "

[nalluvarshareddy]

plt.imshow(img) is not defined olz can u solve this error

[opffgaming]

How to solve the therahold error for video can you please tell me?

[ushaushaa]

I really liked your video of explaining whole code of project😊. It helped me to do my project all the code went good but at webcam, my camera is opening but not detecting objects 😢

[aishwaryapatil]

Best video to refer and nice explanation. Thanks it helped!

[venkateshdm]

Great content. The correct answer is option C

[alasthereshopeforyou.]

Hi, i really am enjoying your Video and i really appreciate your hard work. But you have not shown us how to handle this error: error Traceback (most recent call last)
error: OpenCV(4.7.0) error: (-2:Unspecified error) FAILED: ReadProtoFromBinaryFile(param_file, param). Failed to parse GraphDef file: frozen_inference_graph.pb in function


The above exception was the direct cause of the following exception:

SystemError Traceback (most recent call last)
in <cell line: 1>()
----> 1 model =cv2.dnn_DetectionModel(frozen_model, config_file)

SystemError: <class 'cv2.dnn.DetectionModel'> returned a result with an exception set


Every other line is showing that model is not defined all because of this error.

[czqcdzc]

How to solve the exception error plz answer this!!

[vanshbhardwaj]

How you solved the exception error?
Please answer this

[kelvinkipsang]

After following all these steps, I encountered error in the code below, it can't display the image.Would assist me please to fix the error coz it seems it can't access the images.

img = cv2.imread('boy.jpg')
plt.imshow(img)

[hritikparate]

hey superb tutorial 😍
can you share the video file used in the video