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Depth map generation and super resolution of image and video sequence

Tools used

  • Python

    • OpenCV
    • Tensorflow
    • PyTorch
    • matplotlib
    • numpy
  • Google Collab (Prefarable)

  • Jupyter Notebook

Organization of code

Each method implemented has a folder named after it. The folder contains readme file that explains relevant information and what each file does.

References

  • A. Shocher, N. Cohen, and M. Irani, `”zero-shot” super-resolution using deep internal learning'

  • C. Dong, C. C. Loy, K. He, and X. Tang, “Image super-resolution using deep convo- lutional networks”

  • I. Alhashim and P. Wonka, “High quality monocular depth estimation via transfer learning”

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  • Jupyter Notebook 99.9%
  • Python 0.1%