Skip to main content

CLI for ML Pipeline

Project description

Recognizes

This CLI allows you to upload files to the ML Pipeline and query results.

First Steps

You first need to make sure that you have the requirements needed to install the CLI as well as install the CLI itself.

Make sure that you have python and pip installed. It is recommended that you use a virtual environment although not a requirement.

Then to install the CLI run the following command in your shell:

pip install recognize

Usage

After installing the CLI run the following command:

recognize --help

This should show you a list of all the available commands with a short description of what they do. You can append the --help option to each command for more details about the command. For example:

recognize upload --help

This should give you a list of all the subcommands for this command, the options, and the order in which to write them.

Examples

To upload a directory of videos, accepted file types are mp4 and mov:

recognize upload directory --output results.csv path/to/directory/of/videos

After uploading videos it will take a few minutes to process them all. After which you can start querying.

recognize search keywords --output results.csv some interesting words

You can also search for specific entry types returned by AWS Rekognition. For example to which resources might have potentially harmful, violent, or offensive content run the following command:

recognize search entries --output results.csv moderation

Finally, to search for a particular face run the following command, accepted file types are png and jpeg:

recognize search faces --output results.csv file/path/to/image/of/face

Results

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recognize-0.1.18.tar.gz (6.7 kB view details)

Uploaded Source

Built Distribution

recognize-0.1.18-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file recognize-0.1.18.tar.gz.

File metadata

  • Download URL: recognize-0.1.18.tar.gz
  • Upload date:
  • Size: 6.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.9.16 Darwin/21.6.0

File hashes

Hashes for recognize-0.1.18.tar.gz
Algorithm Hash digest
SHA256 aa141cbf6f99a825a9c673982793d157cef22d2790af03c6440a349bc74a6e92
MD5 b9a58c3e1406c190b448670aa247a3d9
BLAKE2b-256 46c2f1d15facabdf7fce70227091cd93a70508f0c9b312aa4e90446c57de80ba

See more details on using hashes here.

File details

Details for the file recognize-0.1.18-py3-none-any.whl.

File metadata

  • Download URL: recognize-0.1.18-py3-none-any.whl
  • Upload date:
  • Size: 8.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.9.16 Darwin/21.6.0

File hashes

Hashes for recognize-0.1.18-py3-none-any.whl
Algorithm Hash digest
SHA256 1aa845acc569bbb65673cd4423afbff27c58c0f32ebf27a95c0aa122676596d0
MD5 92cf38805011bf69c51a5ce52f6c7f72
BLAKE2b-256 910c88c2bba7d89f402895cf48c39adb67a92998bb834b75f29001c120e58fec

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page