A CLI tool to classify photos
Project description
SnapSort
Note: SnapSort is currently in development and may not be fully functional.
SnapSort is a light weighted (relatively) command-line tool that helps you classify and organize your photos based on focus accuracy, exposure (overexposed/underexposed), and content (landscape/portrait). SnapSort leverages OpenCV for image processing and allows you to quickly sort your photos into categorized folders for easy management.
Features
- Semantic search: Search for images based on your prompt.
- Exposure Classification: Identify overexposed and underexposed images.
- Find similar images: Find similar images based on a reference image.
Installation
You can install SnapSort using pip:
pip install snapsort
Development
pip install --editable .
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cli_snapsort-0.1.2.tar.gz.
File metadata
- Download URL: cli_snapsort-0.1.2.tar.gz
- Upload date:
- Size: 8.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5ff0474f304c5eb68ffa394bf92ae56aefe1b996f6b39b95c3e7a699eef33858
|
|
| MD5 |
1128aeab578eca43155521a5a6716bd9
|
|
| BLAKE2b-256 |
cb90fdeac493bc538cfb9d06fb49abea6005d9bc7e4031afa6fa762e87aacaa1
|
File details
Details for the file cli_snapsort-0.1.2-py3-none-any.whl.
File metadata
- Download URL: cli_snapsort-0.1.2-py3-none-any.whl
- Upload date:
- Size: 11.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
aae6f5800664f8122879996fd54b68a36e83cc5aa47146ec958e9854edb7db11
|
|
| MD5 |
54f3d33dabb17756fd45964701b4984c
|
|
| BLAKE2b-256 |
1af79ba7ddc594b8f3450e1863da0a0f8f4ea69b66ad46fb593f7089dfa70f24
|
