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Project description

BestPix

Use your Mac to see the photos your iPhone thinks are best. Inspired by Simon Willison's Pelican post!

Description

Each time you take a photo with your iPhone, a "beautifulness" score is given to that photo. This package shows you the 10 highest scoring photos.

Supported Platforms

Privacy

No data leaves your computer.

Install

Install and start Docker Desktop
Open your terminal and run the command pip install bestpix

Use

Import your iPhone's photos to your Mac. Official instructions here
Open your terminal and run the command reveal
Using your web browser, go to localhost:8442

Uninstall

Open your terminal and run the command cleanup, then the command pip3 uninstall bestpix
Shutdown and uninstall Docker Desktop

Project details

Release history Release notifications | RSS feed

1.5.8

Jun 23, 2020

1.5.7

Jun 23, 2020

1.5.6

Jun 23, 2020

1.5.5

Jun 23, 2020

1.5.4

Jun 23, 2020

1.5.3

Jun 22, 2020

1.5.1

Jun 22, 2020

1.5.0

Jun 22, 2020

1.4.9

Jun 21, 2020

1.4.8

Jun 21, 2020

1.4.7

Jun 19, 2020

1.4.6

Jun 19, 2020

1.4.5

Jun 19, 2020

1.4.4

Jun 19, 2020

1.4.3

Jun 19, 2020

1.4.2

Jun 19, 2020

1.4.1

Jun 19, 2020

1.4.0

Jun 19, 2020

1.3.9

Jun 19, 2020

1.3.8

Jun 19, 2020

1.3.7

Jun 19, 2020

1.3.6

Jun 19, 2020

1.3.5

Jun 19, 2020

1.3.4

Jun 19, 2020

1.3.3

Jun 19, 2020

This version

1.3.2

Jun 19, 2020

1.3.1

Jun 19, 2020

1.3.0

Jun 19, 2020

1.2.9

Jun 18, 2020

1.2.8

Jun 18, 2020

1.2.7

Jun 18, 2020

1.2.6

Jun 18, 2020

1.2.5

Jun 18, 2020

1.2.4

Jun 18, 2020

1.2.3

Jun 18, 2020

1.2.2

Jun 18, 2020

1.2.1

Jun 18, 2020

1.2

Jun 18, 2020

1.0 yanked

Jun 18, 2020

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Source Distribution

bestpix-1.3.2.tar.gz (3.5 kB view details)

Uploaded Jun 19, 2020 Source

Built Distribution

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Uploaded Jun 19, 2020 Python 3

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Upload date: Jun 19, 2020
Size: 3.5 kB
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File details

Details for the file bestpix-1.3.2-py3-none-any.whl.

File metadata

Download URL: bestpix-1.3.2-py3-none-any.whl
Upload date: Jun 19, 2020
Size: 16.9 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

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