NVIDIA/flownet2-pytorch
flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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NVIDIA
NVIDIA • big-tech
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Nov 20, 2017
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This repository contains a PyTorch implementation of FlowNet 2.0, a deep learning approach for optical flow estimation that represents the evolution of CNN-based flow estimation methods. The implementation provides pre-trained models and tools for estimating pixel-wise motion between consecutive frames in video sequences.
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Optical Flow EstimationConvolutional Neural NetworksVideo AnalysisComputer VisionDeep LearningPyTorch ImplementationMotion EstimationFrame Interpolation
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Optical Flow EstimationConvolutional Neural NetworksVideo AnalysisComputer VisionDeep LearningPyTorch ImplementationMotion EstimationFrame InterpolationVideo CompressionVideo Motion TrackingEntertainmentSecurityVideoOn-premiseAutonomous NavigationVideo StabilizationAutonomous VehiclesDeep Learning for Video UnderstandingSelf-hostedRoboticsImageObject TrackingCloudSports AnalyticsAction RecognitionPython
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Dev Tools & AutomationPrimaryCoding & Dev ToolsData Science & AnalyticsOther AI / MLAI AgentsModel TrainingComputer VisionRobotics
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Python100.0%
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- Project created
- Nov 20, 2017
- Forked
- Mar 14, 2026
- Your last push
- 2 years ago
- Upstream last push
- 14 days ago
- Tracked since
- May 28, 2023
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