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GitHub / vineeths96 / Video-Interpolation-using-Deep-Optical-Flow

In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use pre-trained FlowNet2 deep learning model and experiment by fine-tuning it. We explore the interpolation performance on Spheres dataset and Corridor dataset.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vineeths96%2FVideo-Interpolation-using-Deep-Optical-Flow

Stars: 9
Forks: 3
Open issues: 0

License: mit
Language: Python
Size: 13.7 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: 12 months ago
Pushed at: about 4 years ago
Last synced at: 10 months ago

Topics: deep-learning, flownet, flownet2, frame-interpolation, optical-flow, pytorch, video

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