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GeezerVison is showing github.com — robertarvind - Overview

@robertarvind robertarvind Follow
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@robertarvind
robertarvind
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Robert Arvind robertarvind

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I'm a Physicist and a Computer Vision Enthusiast.
4 followers · 8 following
  • Coimbatore, Tamil Nadu, India
  • https://www.linkedin.com/in/robert-arvind-6a85295b/
  • @RobertArvind

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Popular repositories Loading

  1. Interactive-Semi-Automatic-Image-2D-Bounding-Box-Annotation-Tool-using-Multi-Template_Matching Interactive-Semi-Automatic-Image-2D-Bounding-Box-Annotation-Tool-using-Multi-Template_Matching Public

    Interactive Semi Automatic Image 2D Bounding Box Annotation and Labelling Tool using Multi Template Matching An Interactive Semi Automatic Image 2D Bounding Box Annotation/Labelling Tool to aid the…

    Python 24 4

  2. 3D-surface-reconstruction 3D-surface-reconstruction Public

    An algorithm to reconstruct 3d surfaces from stereo 2d images using a novel brute force block matching algorithm written using python

    Jupyter Notebook 7

  3. Optic-Disc-Segmentation-from-Retinal-Fundus-Images-using-U-Net Optic-Disc-Segmentation-from-Retinal-Fundus-Images-using-U-Net Public

    The Optic Disc from Retinal Fundus Images were segmented using a U-Net Architecture which is a deep learning based neural network model primarily designed for biomedical image segmentation.

    Jupyter Notebook 6

  4. 3-D-Anaglyphs 3-D-Anaglyphs Public

    3-D Anaglyphs were created using a Novel Algorithm based on Cross-Correlation and Fourier Transform.

    Python 4

  5. linear-regression-with-gradient-descent-from-scratch-using-just-numpy-and-matplotlib linear-regression-with-gradient-descent-from-scratch-using-just-numpy-and-matplotlib Public

    Jupyter Notebook 3

  6. optic-disc-detection-and-segmentation-from-retinal-fundus-images-using-logistic-regression optic-disc-detection-and-segmentation-from-retinal-fundus-images-using-logistic-regression Public

    optic disc detection and segmentation from retinal fundus images using logistic regression built from scratch using just numpy

    Jupyter Notebook 3

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