MJPEG Streaming Utilities for Python 3.x

This library provides utility functions for working with MJPEG streams. MJPEG is a simple streaming protocol running on top of HTTP that is used by many existing webcams. The library provides a threaded client and a streaming generator for Flask based servers.

The library is only compatible with Python 3.x (tested on Python 3.4 and 3.5). It was tested with mjpg_streamer.

Installation

pip3 install py-mjpeg

Client API

The library provides a simple threaded streaming client in the file mjpeg/client.py. The client is designed to run in a separate background thread to ensure that it can continue reading from the stream while the main thread is blocked. The client automatically reconnects to the server if it gets disconnected.

Here is a simple example:

from mjpeg.client import MJPEGClient

url='http://example.com:8080/?action=stream'

# Create a new client thread
client = MJPEGClient(url)

# Allocate memory buffers for frames
bufs = client.request_buffers(65536, 50)
for b in bufs:
    client.enqueue_buffer(b)
    
# Start the client in a background thread
client.start()

To obtain frame data, the application creates a list of memory buffers via client.request_buffers. Each buffer holds exactly one JPEG frame. The application then requests the buffers to be filled by calling client.enqueue_buffer. Once a buffer is enqueued, the application must no longer touch it.

To received finished frames, the application calls client.dequeue_buffer() repeatedly:

while True:
    buf = client.dequeue_buffer()
    <do some work>
    client.enqueue_buffer(buf)

The call to dequeue_buffer is blocking. Each buffer object provides the following attributes:

length: The total number of bytes that can fit into the data portion of the buffer
used: The number of bytes occupied by frame data in this buffer
timestamp: The timestamp of the first byte within this buffers (obtained via time.time())
sequence: Frame's sequence number
data: Thea actual frame data

You can use a memory view to obtain frame data from the buffer:

data = memoryview(buf.data)[:buf.used]

When the client runs out of buffers to store frames, it will continue receiving the stream, but any frame data will be discarded. If the connection is disconnected or if the client detects a protocol error, it will try to reconnect the stream automatically. If the client receives a frame that is larger than the destination buffer, the frame will be discarded.

The client provides a method called print_stats which can be used for debugging:

MJPEGClient:
  URL:            : http://example.com:8080/?action=stream
  FPS             : 30
  Buffer overruns : 2
  Reconnects      : 0
  Total frames    : 2984
  Discarded frames: 704
  Buffer queue    : 0

Server API

The file mjpeg/server.py provides a generator for Flask that can be used to generate a MJPEG stream from iterator data.

Here is a simple "echo" example which just sends any frames received from a client back to the client:

from Flask import Flask, Response
from mjpeg.server import MJPEGResponse

def relay():
    while True:
        buf = client.dequeue_buffer()
        yield memoryview(buf.data)[:buf.used]
        client.enqueue_buffer(buf)

@app.route('/')
def stream():
    return MJPEGResponse(relay())

if __name__ == '__main__':
    app = Flask(__name__)
    app.run(host='0.0.0.0', port=8080)

andreaswatch/py-mjpeg

MJPEG Streaming Utilities for Python 3.x

Installation

Client API

Server API