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https://github.com/fossabot/Cyclens
Blazingly Fast, Async, Multi-Task, All-in-One, Image Recognition API Server
https://github.com/fossabot/Cyclens
Last synced: about 1 month ago
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Blazingly Fast, Async, Multi-Task, All-in-One, Image Recognition API Server
- Host: GitHub
- URL: https://github.com/fossabot/Cyclens
- Owner: fossabot
- License: mit
- Created: 2019-06-22T20:57:51.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-06-22T20:54:41.000Z (over 5 years ago)
- Last Synced: 2024-08-02T05:23:00.887Z (4 months ago)
- Language: Python
- Homepage:
- Size: 22.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
- License: LICENSE
- Authors: AUTHORS
Awesome Lists containing this project
- awesome-blazingly-fast - Cyclens - Blazingly Fast, Async, Multi-Task, All-in-One, Image Recognition API Server (Python)
README
# [Cyclens](https://github.com/Dentrax/Cyclens)
[](https://opensource.org/licenses/MIT)
[](https://github.com/ellerbrock/open-source-badges/)
[](https://app.fossa.com/projects/git%2Bgithub.com%2FDentrax%2FCyclens?ref=badge_shield)
[](https://sourcegraph.com/github.com/Dentrax/Cyclens)
**Blazingly Fast, Async, Multi-Task, All-in-One, Image Recognition Modules**
[What It Is](#what-it-is)
[Features](#features)
[How To Use](#how-to-use)
[Installation](#installation)
[Requirements](#requirements)
[Dependencies](#dependencies)
[Collaborators](#collaborators)
[Branches](#branches)
[Copyright & Licensing](#copyright--licensing)
[Contributing](#contributing)
## What It Is
**Cyclens is an All-in-One recognition API server with Async features.**
* Age Prediction
* Emotion Recognition
* Face Recognition
* Gender Prediction
## Features
* Pipeline based process structure between tasks
* Async powered, non-blocking API loop
* Multitask struct for each module process
* Apache Solr powered face search engine
## How To Use
* Download the Cyclens Mobile Client [here](https://github.com/metinUr/cyclens-client)
Just send a POST request with module parameters to the Flask server.
* cURL POST
```bash
$ curl -F "file=@/home/path/to/your/image/file.jpg" http://localhost:5000/api/v1/demo/single?ar=true&ap=true&er=true&fr=true&gp=true
```
* Face Recognition
```bash
$ curl -F "file=@/home/path/to/your/image/file.jpg" http://localhost:5000/api/v1/demo/face_add?id=0&name=FooBar
```
* Example Output:
```json
{
"success": true,
"message": "null",
"process": {
"start": "2019-06-02T01:50:05.731130",
"end": "2019-06-02T01:50:06.580368",
"total": 849.24
},
"modules": [
{
"success": true,
"module": "module_name",
"message": "null",
"process": {
"start": "2019-06-02T01:50:05.731208",
"end": "2019-06-02T01:50:06.579839",
"total": 848.63,
"locations": 97.39,
"encodings": 240.98,
"search": 21.1
},
"found": 1,
"rate": 100.0,
"faces": [
{
"result": "Test",
"confidence": 0.87
}
]
},
]
}
```
## Installation
1. Clone the project to your computer and navigate to folder by executing the following command:
```bash
$ git clone https://github.com/Dentrax/Cyclens.git && cd ./Cyclens/
```
2. Create your own virtualenv and install the requirements by executing the following commands:
```bash
$ virtualenv -p python ./
$ source ./bin/activate
$ pip install -r requirements.txt
```
3. Run the Cyclens with following command
```bash
$ sh ./start.sh
```
* Run this command if you want to test all cases
```bash
$ python -m unittest -v
```
* Run this command if you want to test demo project
```bash
$ python ./demo/demo.py
```
## Requirements
### Data Models
1. Download [this](https://github.com/Tony607/Keras_age_gender/releases/download/V1.0/weights.18-4.06.hdf5) and put in `./models/data/age/`
2. Download [this](https://github.com/oarriaga/face_classification/raw/master/trained_models/emotion_models/fer2013_mini_XCEPTION.102-0.66.hdf5) and put in `./models/data/emotion/`
3. Download [this](https://github.com/ageitgey/face_recognition_models/tree/master/face_recognition_models/models) and put in `./models/data/face/`
4. Download [this](https://github.com/oarriaga/face_classification/raw/master/trained_models/gender_models/simple_CNN.81-0.96.hdf5) and put in `./models/data/gender/`
### Apache Solr
1. Download the Apache Solr from [here](https://lucene.apache.org/solr/downloads.html)
2. Start the Solr with: `./bin/solr start`
3. Make sure the Solr running on the port `8983`
## Dependencies
* Please see the **[requirements.txt](https://github.com/Dentrax/Cyclens/blob/master/requirements.txt)** file for dependency informations
## Collaborators
* Furkan Türkal (GitHub: **[Dentrax](https://github.com/Dentrax)**)
* Metin UR (GitHub: **[metinUr](https://github.com/metinUr)**)
## Branches
We publish source for the **[Cyclens]** in single rolling branch:
The **[master branch](https://github.com/Dentrax/Cyclens/tree/master)** is extensively tested and makes a great starting point. Also tracks [live changes](https://github.com/Dentrax/Cyclens/commits/master) by commits.
## Copyright & Licensing
All program code (i.e. .py) is licensed under **MIT** License unless otherwise specified. Please see the **[LICENSE](https://github.com/Dentrax/Netlyser/blob/master/LICENSE)** file for more information.
[](https://app.fossa.com/projects/git%2Bgithub.com%2FDentrax%2FCyclens?ref=badge_large)
**References**
While this repository is being prepared, it may have been quoted from some sources.
Please see the **[REFERENCES](https://github.com/Dentrax/Cyclens/blob/master/REFERENCES)** file for more information.
If there is an unspecified source or if you think that I made a copyright infringement, please contact with me.
## Contributing
Please check the [CONTRIBUTING.MD](CONTRIBUTING.MD) file for contribution instructions and naming guidelines.