Python Computer Vision Snippets
📸 Collection of Sublime Text snippets for computer vision and image processing in Python (Imports, OpenCV, Pillow)
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- Total 765
- Win 541
- Mac 75
- Linux 149
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| Mac | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Linux | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Readme
📸 Python Computer Vision Snippets
Python Computer Vision Snippets is a collection of Sublime Text snippets for computer vision and image processing in Python.
💻 Installation
The easiest way to install Python Computer Vision Snippets is through Package Control. After it is enabled inside Sublime Text, open the command palette and find Package Control: Install Package and press ENTER. Then, find Python Computer Vision Snippets in the list. Press ENTER again, and this package is installed!
📈 Snippets
Imports
Import snippets start with i followed by the package/module's import alias.
| Trigger | Description |
|---|---|
icv2 |
import cv2 |
iImage |
from PIL import Image |
OpenCV
| Trigger | Description |
|---|---|
circle |
cv2.circle |
cvtColor |
cv2.cvtColor |
destroyAllWindows |
cv2.destroyAllWindows |
imread |
cv2.imread |
imshow |
cv2.imshow |
imwrite |
cv2.imwrite |
line |
cv2.line |
putText |
cv2.putText |
rectangle |
cv2.rectangle |
resize |
cv2.resize |
rotate |
cv2.rotate |
VideoCapture |
cv2.VideoCapture |
waitKey |
cv2.waitKey |
Pillow
| Trigger | Description |
|---|---|
convert |
Image.convert |
crop |
Image.crop |
fromarray |
PIL.Image.fromarray |
open |
PIL.Image.open |
resize |
Image.resize |
rotate |
Image.rotate |
save |
Image.save |
The snippet files are in the snippets folder of this GitHub repository.