Photo Condenser
A modern Python application for finding and managing similar or duplicate images in your photo collection. The tool uses Machine Learning to compare images and provides an intuitive interface for reviewing and organizing your photos.
Select the photo you want to keep with arrow keys
Features
🖼️ Supports multiple image formats (JPG, PNG, WebP, etc.)
🔍 Advanced image comparison using Machine Learning
🎯 Smart caching for improved performance
📊 Image metadata display
🖱️ Intuitive navigation with address bar
Screenshot
Installation
Using pipx
pipx install photo_condenser
Usage
Command Line
# Launch the application
photo_condenser
# Or run directly
python -m photo_condenser
Basic Workflow
Launch the application
Use the address bar to navigate to your photo directory
The application will present you with pairs of similar images
Use the arrow keys to select the image you want to keep or Spac
Metadata
Release files for photo_condenser 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| photo_condenser-0.0.3.tar.gz | 1.7 MB | Without provenance | Details for photo_condenser-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| photo_condenser-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for photo_condenser-0.0.3-py3-none-any.whl |
Total release size: 1.8 MB
Release files / photo_condenser-0.0.3.tar.gz
| Download URL | photo_condenser-0.0.3.tar.gz |
|---|---|
| Size | 1.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
c0b25c28e693fd9f9ce6c4e61d718d25c59c50525da679172527a5ed5e26ff31
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.32.4
|
Release files / photo_condenser-0.0.3-py3-none-any.whl
| Download URL | photo_condenser-0.0.3-py3-none-any.whl |
|---|---|
| Size | 23.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3b0f807b362f482d1a7b8e5d206f80921e262c59a78f9b04ecf7220d199346a3
|
|
BLAKE2b-256 checksum How to use checksums |
aebc6a1e41cbe772774b751fc37e5a7dbc9b7c69b7664dedd27ad04580ff2d18
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.32.4
|
Security for photo_condenser 0.0.3
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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