https://github.com/julesbelveze/pytorch-tutorial-computer-vision
Deep Learning for computer vision using PyTorch
https://github.com/julesbelveze/pytorch-tutorial-computer-vision
cnn computer-vision cyclegan deep-learning detection horse2zebra hotdog not-hotdog nuclei-detection pytorch segmentation sliding-window tutorials
Last synced: 7 months ago
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Deep Learning for computer vision using PyTorch
- Host: GitHub
- URL: https://github.com/julesbelveze/pytorch-tutorial-computer-vision
- Owner: JulesBelveze
- Created: 2019-06-07T10:57:24.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-12-13T14:32:17.000Z (almost 6 years ago)
- Last Synced: 2025-02-03T02:30:33.292Z (8 months ago)
- Topics: cnn, computer-vision, cyclegan, deep-learning, detection, horse2zebra, hotdog, not-hotdog, nuclei-detection, pytorch, segmentation, sliding-window, tutorials
- Language: Jupyter Notebook
- Homepage:
- Size: 19.9 MB
- Stars: 1
- Watchers: 0
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Deep-learning-for-computer-vision
Repository containing various small projects implemented using PyTorch related to: Deep Learning in Computer Vision.
Each project contains a report that gathers the needed theoritical background and the different implementation's steps.
Code is run on a GeForce GTX TITAN X 12GB GPU.
The results are sometimes relatively bad but the aim here is to understand the main concepts.
## Content
- Exercises to get familiar with Deep Learning and PyTorch, that can be found under `exercises/`
- Hotdog / nothotdog classifier
- Digits detection using sliding windows
- Nuclei segmentation inspired from the 2018 Data Science Bowl
- CycleGAN that converts horses to zebras and vice versa