Dockerface is an easy to install and use deep learning face detection for images and video in a docker container. It is meant for research and open for industry and personal use. It deploys a trained Faster R-CNN network on Caffe through an easy to use docker image. Bring your videos and images, run dockerface and obtain videos and images with bounding boxes of face detections and an easy to use face detection annotation text file.
What's the difference between this Python project and similar ones?
Dlib has a non deep learning face detector with python bindings and a deep learning face detector with no python bindings. Our project has python scripts from a deep learning face detector and a pre-trained face detector. It is also easy to install, just download the docker container and follow the instructions. opencv has python bindings for a non-deep learning face detector. face-py-faster-rcnn is the inspiration for this project. We implement their training regime and we deploy it in an easy to use docker container.
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Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/916
**Author:** [@natanielruiz](https://github.com/natanielruiz)
**Created:** 8/16/2017
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`d517443`](https://github.com/vinta/awesome-python/commit/d5174432132529a30d472a6dcd1482ed1ff918ca) Added dockerface
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is this Python project?
Dockerface is an easy to install and use deep learning face detection for images and video in a docker container. It is meant for research and open for industry and personal use. It deploys a trained Faster R-CNN network on Caffe through an easy to use docker image. Bring your videos and images, run dockerface and obtain videos and images with bounding boxes of face detections and an easy to use face detection annotation text file.
## What's the difference between this Python project and similar ones?
[Dlib](https://github.com/davisking/dlib) has a non deep learning face detector with python bindings and a deep learning face detector with no python bindings. Our project has python scripts from a deep learning face detector and a pre-trained face detector. It is also easy to install, just download the docker container and follow the instructions.
[opencv](http://opencv.org/) has python bindings for a non-deep learning face detector.
[face-py-faster-rcnn](https://github.com/playerkk/face-py-faster-rcnn) is the inspiration for this project. We implement their training regime and we deploy it in an easy to use docker container.
--
Anyone who agrees with this pull request could vote for it by adding a :+1: to it, and usually, the maintainer will merge it when votes reach **20**.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/916
Author: @natanielruiz
Created: 8/16/2017
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
d517443Added dockerface📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
Dockerface is an easy to install and use deep learning face detection for images and video in a docker container. It is meant for research and open for industry and personal use. It deploys a trained Faster R-CNN network on Caffe through an easy to use docker image. Bring your videos and images, run dockerface and obtain videos and images with bounding boxes of face detections and an easy to use face detection annotation text file.
What's the difference between this Python project and similar ones?
Dlib has a non deep learning face detector with python bindings and a deep learning face detector with no python bindings. Our project has python scripts from a deep learning face detector and a pre-trained face detector. It is also easy to install, just download the docker container and follow the instructions.
opencv has python bindings for a non-deep learning face detector.
face-py-faster-rcnn is the inspiration for this project. We implement their training regime and we deploy it in an easy to use docker container.
--
Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.