academic-emotion
Emotion analysis tools for academic conference videos built on DeepFace, PyTorch, and Transformers.
This project provides a lightweight, reproducible setup for experimenting with facial emotion recognition with video inputs.
Demo
Below are example facial emotion from one coauther's conference presentation:
Left to right: neutral, little happy, very happy
Installation
Please create a new environment to install (Python ≥ 3.10 is required):
pip install academic_emotion
1 maintainer
Metadata
1 maintainer
Release files for academic-emotion 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| academic_emotion-0.1.2.tar.gz | 9.3 kB | Without provenance | Details for academic_emotion-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| academic_emotion-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for academic_emotion-0.1.2-py3-none-any.whl |
Total release size: 18.3 kB
Release files / academic_emotion-0.1.2.tar.gz
| Download URL | academic_emotion-0.1.2.tar.gz |
|---|---|
| Size | 9.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
30dd898fa7286b0eaf0bfdf45d5cff5975033ee4e2de7d29f791fff0a9d39b7a
|
|
BLAKE2b-256 checksum How to use checksums |
099d734d2e02574f7b8cdc0d0154e3402857ae88ab0f572dad3a29fd807b2fae
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.12
|
Release files / academic_emotion-0.1.2-py3-none-any.whl
| Download URL | academic_emotion-0.1.2-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f65a1ae090f670b75be354f4fb13d636fc215835eb291ca9b4f127ced1bef971
|
|
BLAKE2b-256 checksum How to use checksums |
d4b078fbcd6b9503946de41ab7284b5217d8f4520e421c1429b248cf1e8bbdc1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.12
|
Security for academic-emotion 0.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
