Computer Vision & OpenCV-Python

What is the purpose of Computer Vision?

• Trains computers to understand human language

• Trains computers to identify objects visually like a human

• Trains computers as a substitute for human eyes

• Trains computers to understand human emotion

Which of the following is NOT the possible applications of Computer Vision?

• Detect the edges of an object

• Interpret typed or handwritten text

• Identify the sentiment of a sentence

• Facial recognition

The first step in the Computer Vision process involves acquiring an image. Which of the following is NOT the possible source of images?

• Human eyes

• Videos

• Photos

• 3D Technology

The second step in the Computer Vision process involves processing the images and train the model. Which of the following tasks is NOT part of this step?

• Convert the images to a suitable representation

• Evaluate the model's accuracy

• Select the suitable Deep Learning algorithm

• Fit the model with relevant images and their labels

The third step of Computer Vision involves testing whether the trained model is able to identify the objects. Why is this step important?

• To ensure the model is able to run

• To ensure the model is able to identify the objects

• To allow the model to learn about the objects

• To ensure the model is able to identify the objects accurately

OpenCV-Python is a Python library that is based on OpenCV. What are the usages of OpenCV-Python? (Select 2 options.)

• Sentiment analysis

• Image processing

• Object detection

• Text classification

What is the function in OpenCV-Python that allows one to read images from a source?

• cv2.imshow("Label", 'some_sources')

• cv2.VideoCapture('some_sources')

• cv2.imread('some_sources')

• cv2.imread()

The above shows a sample code to read and display an image. However, the image is unable to display properly. What is the possible issue?

• The image file is not found

• Missing of cv2.waitKey(0) at the end of the code

• The image file is corrupted

• The libraries are not imported properly

One of the uses of the OpenCV-Python library is to read and display the video from the specified sources. What is the function that is used to capture the video sources from a webcam?

• cv2.VideoCapture(0)

• cv2.VideoCapture('video.mp4')

• cv2.VideoCapture('image.jpg')

• cv2.VideoCapture('webcam_location')

The above shows a sample code that is used to read and display the "video.mp4" video file. However, the code will return an error at the end of playing the video. What is the possible reason?

• The video file is corrupted

• There are no codes to break the loop when there are no more frames from the video

• The value in cv2.waitKey() function is not suitable

• The video capture is not released after all frames from the video are read