https://github.com/tiagoprata/fastapi-frame-stream

Python package to easily stream individual frames (MJPEG) using FastAPI
https://github.com/tiagoprata/fastapi-frame-stream

fastapi mjpeg mjpeg-stream opencv python video-streaming

Last synced: about 1 month ago
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Python package to easily stream individual frames (MJPEG) using FastAPI

• Host: GitHub
• URL: https://github.com/tiagoprata/fastapi-frame-stream
• Owner: TiagoPrata
• License: mit
• Created: 2022-06-24T18:31:23.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-07T22:16:09.000Z (over 2 years ago)
• Last Synced: 2024-10-15T17:06:06.281Z (about 1 month ago)
• Topics: fastapi, mjpeg, mjpeg-stream, opencv, python, video-streaming
• Language: Python
• Homepage: https://pypi.org/project/fastapi-frame-stream/
• Size: 7.98 MB
• Stars: 12
• Watchers: 3
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: readme.md
  • Changelog: changelog.md
  • License: LICENSE

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README

        
# fastapi-frame-stream

Package to easily stream individual frames (MJPEG) using FastAPI.

FastAPI server for publishing and viewing MJPEG streams.

Raw image files and images as base64 strings can be sent to a 'video stream' and then consumed by any client.

## Quick start

### Installing

```cmd

pip install fastapi-frame-stream

```

#### Requirements

- [FastAPI](https://fastapi.tiangolo.com/)

- [uvicorn](https://www.uvicorn.org/)

  NOTE:

  This package will also automatically install:

- imutils

- opencv-python

- python-miltipart

### How to use

#### Server

You can create a simple FastAPI server where it is possible to publish and get multiple streams.

![usage code](./_readme_imgs/usage_code.svg)

full code

```python

from fastapi import FastAPI, File, UploadFile

import uvicorn

from pydantic import BaseModel

from fastapi_frame_stream import FrameStreamer

app = FastAPI()

fs = FrameStreamer()

class InputImg(BaseModel):

    img_base64str : str

@app.post("/send_frame_from_string/{stream_id}")

async def send_frame_from_string(stream_id: str, d:InputImg):

    await fs.send_frame(stream_id, d.img_base64str)

@app.post("/send_frame_from_file/{stream_id}")

async def send_frame_from_file(stream_id: str, file: UploadFile = File(...)):

    await fs.send_frame(stream_id, file)

@app.get("/video_feed/{stream_id}")

async def video_feed(stream_id: str):

    return fs.get_stream(stream_id)

if __name__ == '__main__':

    uvicorn.run(app, host="0.0.0.0", port=5000)

```

#### Client

Any client can view a published image (MJPEG) stream using a simple `````` tag:

![usage code](./_readme_imgs/client_code.svg)

full code

```html

    Testing fastapi-frame-stream

    

```

#### All together

It is possible to upload an image file directly...

![Server and client](https://raw.githubusercontent.com/TiagoPrata/fastapi-frame-stream/main/_readme_imgs/usage001.gif)

... or to use any kind of application to convert the frames to base64 and send it to the web server:

![Server and client](https://raw.githubusercontent.com/TiagoPrata/fastapi-frame-stream/main/_readme_imgs/usage002.gif)

How it works


The frames sent throught the web server are stored in a temporary (in memory) SQLite DB...

![User sending frame](./_readme_imgs/sending_frame.png)

... and the last frame of each stream is retrieved everytime a client wants to visualize the stream.

![Retrieving stream](./_readme_imgs/getting_stream.png)