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https://github.com/076923/python-image-preview
VSCode Extension : Python Image Preview
https://github.com/076923/python-image-preview
image-processing imageio matplotlib numpy opencv opencv-python pil preview python pytorch seaborn skimage sklearn-image tensorflow vscode
Last synced: 3 months ago
JSON representation
VSCode Extension : Python Image Preview
- Host: GitHub
- URL: https://github.com/076923/python-image-preview
- Owner: 076923
- Created: 2021-06-13T12:07:47.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-01-08T10:11:39.000Z (about 3 years ago)
- Last Synced: 2024-07-14T12:25:06.645Z (7 months ago)
- Topics: image-processing, imageio, matplotlib, numpy, opencv, opencv-python, pil, preview, python, pytorch, seaborn, skimage, sklearn-image, tensorflow, vscode
- Language: JavaScript
- Homepage:
- Size: 5.96 MB
- Stars: 30
- Watchers: 1
- Forks: 3
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
Awesome Lists containing this project
README
# Python Image Preview
You can quickly check your Python image data.
## Dependencies
Requires one or more of the following libraries:
- pillow
- opencv-python
- matplotlib
- image
- plotly + kaleido## Supported Libraries
- numpy
- pillow
- opencv-python
- matplotlib
- seaborn
- plotly + kaleido
- imageio
- skimage
- tensorflow
- pytorch
- etc.## How to use
1. Set a `breakpoint` on the line of code.
2. `Debug Mode Start`
3. `Open Command Palette`
- Windows : Ctrl + P
- MacOS : ⌘ + P4. Run `Python Image Preview`
- Enter `> Python Image Preview` on the command palette.5. Click on the variable.
### Apply Numpy

### Apply Pillow

### Apply OpenCV

### Apply Matplotlib

### Apply Matplotlib PyPlot

### Apply Seaborn

### Apply Plotly

### Apply ImageIO

### Apply Scikit Image

### Apply Tensorflow

### Apply Pytorch

## Authors
Daehee Yun([email protected])