No project description provided
Project description
BestPix
View your best photos by seeing what Apple's machine learning models rate them. Inspired by Simon Willison's Pelican post!
Description
All of the photos on your iPhone are put through Apple's machine learning models to produce "beautifulness" scores. These scores are stored on your iPhone and can be imported to your MacBook. This package allows you to see the 10 most beautiful photos in your browser.
Supported Platforms
- Mac only
Privacy
No data leaves your computer
Up and Running
Installing
-
You'll need Docker Desktop
-
Check if you have it by running
docker --version
Note: The exact version might change.
-
You can get it from docker.com
-
-
You'll need Python 3 from python.org
-
To check if you have it by running
python3 --version
Note: The exact version might change
-
You can get it from python.org
-
-
Download BestPix by running
pip3 install bestpix
.Note: The exact version might change
Using
-
Import your iPhone's photos to your Mac. Official instructions here
-
To start Docker Desktop, run
open -a Docker
-
To start package, run
reveal
-
View the results by opening your web browser and going to the url
localhost:8442
Uninstalling
- Open your terminal and run the command
cleanup
, then the commandpip3 uninstall bestpix
- Uninstall Docker Desktop as you would any Application. Official instructions here
Project details
Release history Release notifications | RSS feed
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
File details
Details for the file bestpix-1.5.8.tar.gz
.
File metadata
- Download URL: bestpix-1.5.8.tar.gz
- Upload date:
- Size: 4.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6a14743ecaf81b73974767652ac8b4494130cf0baa56c82e0682f2ca019cd2a8 |
|
MD5 | 5a424cd80e6cac85e2e42b5b48f81eb7 |
|
BLAKE2b-256 | a0ed3588a8cfb69c9d35b5f4493e8b287ee5dd0cd81dbc64c9679efa75466b45 |
File details
Details for the file bestpix-1.5.8-py3-none-any.whl
.
File metadata
- Download URL: bestpix-1.5.8-py3-none-any.whl
- Upload date:
- Size: 18.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b2115a334502fdaf94dd7d717a11bf8ebaf2aeaa7eedb45934f5f12ef037ed6a |
|
MD5 | a096f4c41b9333eb4f6a586b19e2360c |
|
BLAKE2b-256 | d2836d7d68a5d809179c36eaca8090024ac2e087bc6726c2382c72db7579551e |