Standalone package for capturing video from the webcam, detecting all faces in the video and then runing the DeepFace emotional classifier on each face. The output of the emotional classfications will be written as JSON to a Unix pipe to be consumed by any other process
Project description
Overview
This packages is a very basic script that captures video from the webcam, detects all faces in the video and then runs the DeepFace emotional classifier on each face. The output of the emotional classfications will be written to a Unix pipe to be consumed by any other process.
Instructions
Everything is contained in emotional_detection/main.py. You simply install the dependencies and run. This project works out of the box with poetry, but you could install the dependencies using any dependency manager + virtual environment combination you choose.
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
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 emotional-detection-0.1.3.tar.gz.
File metadata
- Download URL: emotional-detection-0.1.3.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.15 CPython/3.9.13 Darwin/20.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6383888a97086e338c61ede10a5b213f5cca36a01f639fa397f327f476ef275f
|
|
| MD5 |
e0f1cf03b75811849c24bedc84f968f5
|
|
| BLAKE2b-256 |
39302d67a3b899c6831b49a565a14825ddfdbd59cdc9f10bf40c9cd366c39c2f
|
File details
Details for the file emotional_detection-0.1.3-py3-none-any.whl.
File metadata
- Download URL: emotional_detection-0.1.3-py3-none-any.whl
- Upload date:
- Size: 3.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.15 CPython/3.9.13 Darwin/20.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1bb15159fdf36b8415b0fbb6bb796f86dd585f9a85a4b7d06806b3398585ef18
|
|
| MD5 |
cdb0c2047ce29bc18fa9bf174d41ea96
|
|
| BLAKE2b-256 |
f4f96f7476b88a84df57844dd1f1bb051746c60484785b82a2e41ebfa85128e9
|