Now we will be processing the captured footage frame by frame until capture.read() is true ( here capture represent an object and this function additionally with frame it also return bool and provide the information whether the frame has been successfully read or not ).We can read video from webcam or video file depending upon our choice. The first step will be to create a VideoCapture object by using cv2.VideoCapture().Therefore, it will be good if we know how to calculate FPS in our Computer Vision projects. on the highway then you would need at least 30 fps for hassle-free identification. if you wish to identify the object in the video than 15 fps can be sufficient but if you wish to identify the car number which is moving at speed of 40 km/hr. A video can be assumed as a collection of images or we can say frames which are displayed at some rate to produce motion. We will be displaying the real-time processing FPS of the video file or webcam depending upon our choice.įPS or frame per second or frame rate can be defined as number of frames displayed per second. Python program to convert a list to string.How to get column names in Pandas dataframe.Adding new column to existing DataFrame in Pandas.Top 40 Python Interview Questions & Answers.Perspective Transformation – Python OpenCV.Reading an image in OpenCV using Python.Face Detection using Python and OpenCV with webcam.Opencv Python program for Face Detection.

Python OpenCV: Capture Video from Camera.

Python – Displaying real time FPS at which webcam/video file is processed using OpenCV.

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How to display fps mac