Difference between revisions of "OpenCV"
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| − | [[wikipedia:OpenCV]] (2000) | + | [[wikipedia:OpenCV]] (2000) is a library mainly aimed at real-time [[computer vision]]. |
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| + | Contains: | ||
| + | * Boosting | ||
| + | * Decision tree learning | ||
| + | * Gradient boosting trees | ||
| + | * Expectation-maximization algorithm | ||
| + | * k-nearest neighbor algorithm | ||
| + | * Naive Bayes classifier | ||
| + | * [[Artificial neural networks]] | ||
| + | * Random forest | ||
| + | * Support vector machine (SVM) | ||
| + | * Deep neural networks (DNN) | ||
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| + | == Related terms == | ||
| + | * [[OpenALPR]] | ||
| + | * [[ML]] | ||
| + | |||
| + | == See also == | ||
| + | * {{CV}} | ||
| + | * {{ML}} | ||
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| + | [[Category:Computing]] | ||
Latest revision as of 06:46, 2 April 2022
wikipedia:OpenCV (2000) is a library mainly aimed at real-time computer vision.
Contains:
- Boosting
- Decision tree learning
- Gradient boosting trees
- Expectation-maximization algorithm
- k-nearest neighbor algorithm
- Naive Bayes classifier
- Artificial neural networks
- Random forest
- Support vector machine (SVM)
- Deep neural networks (DNN)
Related terms[edit]
See also[edit]
- Computer vision: OpenCV, OpenALPR, Tesseract, OCR, Amazon Rekognition, Vision API, AutoML Vision Edge, Camera, Clarifai, AWS Panorama, ICCV, DensePose
- Machine learning, Deep learning, AWS Sagemaker, PyTorch, Kubeflow, TensorFlow, Keras, Torch, Spark ML, Tinygrad, Apple Neural Engine, Scikit-learn, MNIST, MLOps, AutoML, ClearML, PostgresML, AWS Batch, Transformer, Diffusion, Backpropagation, JAX, Vector database, LLM, The Forrester Wave: AI/ML Platforms
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