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Section: 3D-File-Format · An open source computer vision and machine learning software library
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An open source computer vision and machine learning library with extensive support for image and video analysis. Often used for video processing tasks like object detection, tracking, and filtering.
Section: 3D-File-Format · An open source computer vision and machine learning software library
Section: C++ · OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
Section: Encoding Tools · An open source computer vision and machine learning library with extensive support for image and video analysis. Often used for video processing tasks like object detection, tracking, and filtering.
Section: Libraries and Frameworks · Open Source computer vision library. Licence: BSD-3 Clause.
Section: Related Resources
Section: ML frameworks & applications · is a highly optimized library with focus on real-time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
Section: Computer Vision Tools, Libraries, and Frameworks · is a highly optimized library with focus on real-time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]
is a tool for transcoding video from almost any format with a selection of widely supported codecs. It is supported on Window, macOS, and Linux.
General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.
is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.
A professional cross-platform video editing, color grading, and post-production suite with a free version available.
Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
LosslessCut aims to be the ultimate cross platform FFmpeg GUI for extremely fast and lossless operations on video, audio, subtitle and other related media files.