Shypd.aiThe largest open index of AI toolsTensorflow_Object_Tracking_Video is an Open Source tool that provides object tracking, localization, detection, and classification functionalities using TensorFlow. It includes scripts for YOLO and VID TENSORBOX for video analysis.
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Tensorflow_Object_Tracking_Video is an open-source project developed for object tracking in videos, encompassing localization, detection, and classification. Originally created for the ImageNET VID competition, it leverages TensorFlow technology. The project integrates popular object detection systems like YOLO (You Only Look Once) and TensorBox, along with Inception for classification. It features a modular architecture that includes a general object detector, a tracker, and a smoother. The repository provides scripts for both YOLO and VID TENSORBOX usage, allowing users to process videos, set parameters, and obtain real-time object tracking results. It also includes dataset scripts for preparing and processing data for training, particularly for the VID classes, and offers pre-trained weights for Inception and TensorBox.
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