# danduncan/HappyNet

<https://repo.masters-masters.com/en/repos/danduncan/HappyNet>

[Home](https://repo.masters-masters.com/en) › [danduncan](https://repo.masters-masters.com/en/owners/danduncan) › [HappyNet](https://repo.masters-masters.com/en/repos/danduncan/HappyNet)

danduncan/HappyNet has 132 stars on GitHub. Its RepoMasters card: Prototype tier. Convolutional neural network that does real-time emotion recognition…

| Field | Value |
| --- | --- |
| Owner | [danduncan](https://repo.masters-masters.com/en/owners/danduncan) |
| Stars | 132 |
| Forks | 59 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2016 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [danduncan/HappyNet](https://github.com/danduncan/HappyNet) |

## Repository

Convolutional neural network that does real-time emotion recognition. HappyNet detects faces in video and images, classifies the emotion on each face, then replaces each face with the correct emoji for that emotion. Based on Caffe and the "Emotions in the Wild" network available on Caffe model zoo.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.