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Process, transform, and analyze images using common operations
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Basé sur la classification professionnelle SOC
| name | image-processing |
| description | Process, transform, and analyze images using common operations |
Process and transform images.
from PIL import Image
img = Image.open("input.jpg")
img_resized = img.resize((800, 600), Image.LANCZOS)
img_resized.save("output.jpg")
# Crop box: (left, upper, right, lower)
img_cropped = img.crop((100, 100, 500, 400))
img = Image.open("input.png")
img.convert("RGB").save("output.jpg", quality=85)
| Filter | Use Case |
|---|---|
| Blur | Reduce noise, privacy |
| Sharpen | Enhance details |
| Grayscale | Simplify, reduce size |
| Contrast | Improve visibility |
from PIL.ExifTags import TAGS
exif = img._getexif()
for tag_id, value in exif.items():
tag = TAGS.get(tag_id, tag_id)
print(f"{tag}: {value}")