opencv

This code utilizes OpenCV and other libraries to detect people in images, track motion, and draw bounding boxes around detected individuals. The code consists of several functions, including image loading, motion detection, and person tracking, with a TODO comment indicating the need to implement video recording and uploading functionality.

This code imports necessary libraries for computer vision tasks and defines three functions: percent_motion to calculate the percentage of white pixels in a thresholded image, image_grayscale to convert an image to grayscale, and diff_images to compute the absolute difference between two frames. The functions are exported as part of the module namespace for use in other scripts.

The code imports OpenCV and glob libraries, sets output video properties, and defines a write_video function that creates an output video from a list of images. The function gets the list of images, defines a VideoWriter object, writes each image to the video, and releases the object after cleanup.

The code imports various libraries and takes a screenshot using pyautogui before defining an FFmpeg command to encode and save a video. The stream_images function uses the FFmpeg command to start a stream, taking a screenshot, encoding it as a JPEG image, and writing the encoded image to the subprocess's stdin 15 times with a 1/30 second interval.

The code imports necessary libraries, loads credentials from a service account JSON file, and sets up a YouTube API client using the googleapiclient library. The live_stream function is defined to create a new live stream on YouTube, utilizing the API client and specifying parameters such as title, description, and scheduled start time.

This Python script uses the Flask web framework and Google API Client Library to create a simple web application that authenticates users with Google and authorizes them to access the YouTube API using OAuth 2.0 authentication.

The script imports necessary libraries and sets environment variables for Google API authentication, then creates a Flask application instance. It defines a single route, /authorize, which handles the OAuth 2.0 authorization flow, generating a URL to redirect users to the Google authorization page for consent and offline access.

The code imports various libraries and modules to interact with the operating system, handle JSON data, build a web application, and make HTTP requests, and configures the Google API for YouTube. It defines functions to authorize and list live broadcasts using the YouTube API, sanitize file names, and maps function names to their corresponding functions in the module.

The code imports necessary libraries, defines constants and two functions (create_livestream and sanitize_filename), and exports the create_livestream function for use. The create_livestream function creates a new live stream on YouTube by authorizing the user, building a YouTube API client, and inserting the live stream details, while the sanitize_filename function replaces invalid characters in a string with underscores.

The code imports necessary libraries, defines constants and functions for interacting with the YouTube API, and exports two main functions: list_livestream and youtube_authorize. These functions allow users to authorize with the YouTube API and list their live streams, with the option to sanitize filenames and handle OAuth 2.0 credentials.

This code binds a live stream to a YouTube broadcast using the YouTube API, utilizing functions to import necessary modules and notebooks, authorize API credentials, retrieve broadcast and stream information, and execute the binding request. The bind_stream_to_broadcast function returns the stream information and broadcast ID, and is exported for use in other modules.

The transition_stream function uses the YouTube API to authorize and bind a stream to a broadcast, then starts a subprocess to write images to an FFmpeg stream, waiting indefinitely until interrupted. The code includes unused sections for creating stream data and transitioning the broadcast status to 'live', which are likely part of a larger script or implementation.