Rayimage

Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Includes functions to perform 2D convolutions, add image overlays, generate camera vignette effects, and add titles to images.
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Simplecvreproduction1,021
a year ago3apache-2.0Jupyter Notebook
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
Camconvs87
2 years ago6gpl-3.0Jupyter Notebook
Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"
Rayimage46
5 months agoC++
Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Includes functions to perform 2D convolutions, add image overlays, generate camera vignette effects, and add titles to images.
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7 years agoSwift
Live visualization of convolutional neural network using the iPhone's camera
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5 years ago1Python
A personal implement of CAM(class activation mapping) part of CVPR 2018 Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Sematic Segmentation.
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Convolution visualization
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