Python's real-time object detection framework:
Tensorflow Object Detection API: It is an open source framework based on TensorFlow that provides pre-trained models, including Faster R-CNN, SSD, Yolo, etc., which can quickly perform real-time object detection.
YOLO (You Only Look Once): It is a real-time object detection framework that can detect and classify objects at the same time. It is fast and suitable for running on embedded devices.
OpenCV: It is a commonly used computer vision library that provides a variety of object detection algorithms (such as Haar cascade detectors) and tools to achieve real-time object detection.
Real-time object detection framework for JavaScript:
TensorFlow.js: It is the JavaScript version of TensorFlow. It provides a variety of pre-trained models, including Object Detection API, MobileNet, etc., and can perform real-time object detection in the browser.
tracking.js: is a JavaScript-based real-time object tracking library that provides a variety of tracking algorithms, such as color tracking, face tracking, etc.
js-objectdetect: It is a JavaScript object detection library based on HTML5 Canvas, which provides a variety of detection algorithms, such as integral graph, HOG+SVM, etc., and can realize real-time object detection.