Since version 3.0 this project is now a shim for linuxpy.video
Please consider using linuxpy directly.
Video for Linux 2 (V4L2) python library
A two purpose API:
- high level Device API for humans to play with :-)
- raw python binding for the v4l2 (video4linux2) userspace API, using ctypes (don't even bother wasting your time here. You probably won't use it)
Only works on python >= 3.9.
So, why another library dedicated to video control? Couldn't I just use cv2.VideoCapture
?
Here is a list of features that this library provides which I couldn't find in other libraries:
- List available V4L2 devices
- Obtain detailed information about a device (name, driver, capabilities, available formats)
- Fine control over the camera parameters (ex: resolution, format, brightness, contrast, etc)
- Fine control resource management to take profit of memory map, DMA or user pointers (buffers)
- Detailed information about a frame (timestamp, frame number, etc)
- Write to VideoOutput
- Integration with non blocking coroutine based applications (
gevent
andasyncio
) without the usual tricks like usingasyncio.to_thread
From within your favorite python environment:
$ pip install v4l2py
Without further ado:
>>> from v4l2py import Device
>>> with Device.from_id(0) as cam:
>>> for i, frame in enumerate(cam):
... print(f"frame #{i}: {len(frame)} bytes")
... if i > 9:
... break
...
frame #0: 54630 bytes
frame #1: 50184 bytes
frame #2: 44054 bytes
frame #3: 42822 bytes
frame #4: 42116 bytes
frame #5: 41868 bytes
frame #6: 41322 bytes
frame #7: 40896 bytes
frame #8: 40844 bytes
frame #9: 40714 bytes
frame #10: 40662 bytes
Getting information about the device:
>>> from v4l2py.device import Device, BufferType
>>> cam = Device.from_id(0)
>>> cam.open()
>>> cam.info.card
'Integrated_Webcam_HD: Integrate'
>>> cam.info.capabilities
<Capability.STREAMING|EXT_PIX_FORMAT|VIDEO_CAPTURE: 69206017>
>>> cam.info.formats
[ImageFormat(type=<BufferType.VIDEO_CAPTURE: 1>, description=b'Motion-JPEG',
flags=<ImageFormatFlag.COMPRESSED: 1>, pixelformat=<PixelFormat.MJPEG: 1196444237>),
ImageFormat(type=<BufferType.VIDEO_CAPTURE: 1>, description=b'YUYV 4:2:2',
flags=<ImageFormatFlag.0: 0>, pixelformat=<PixelFormat.YUYV: 1448695129>)]
>>> cam.get_format(BufferType.VIDEO_CAPTURE)
Format(width=640, height=480, pixelformat=<PixelFormat.MJPEG: 1196444237>}
>>> for ctrl in cam.controls.values(): print(ctrl)
<IntegerControl brightness min=0 max=255 step=1 default=128 value=128>
<IntegerControl contrast min=0 max=255 step=1 default=32 value=32>
<IntegerControl saturation min=0 max=100 step=1 default=64 value=64>
<IntegerControl hue min=-180 max=180 step=1 default=0 value=0>
<BooleanControl white_balance_automatic default=True value=True>
<IntegerControl gamma min=90 max=150 step=1 default=120 value=120>
<MenuControl power_line_frequency default=1 value=1>
<IntegerControl white_balance_temperature min=2800 max=6500 step=1 default=4000 value=4000 flags=inactive>
<IntegerControl sharpness min=0 max=7 step=1 default=2 value=2>
<IntegerControl backlight_compensation min=0 max=2 step=1 default=1 value=1>
<MenuControl auto_exposure default=3 value=3>
<IntegerControl exposure_time_absolute min=4 max=1250 step=1 default=156 value=156 flags=inactive>
<BooleanControl exposure_dynamic_framerate default=False value=False>
>>> cam.controls["saturation"]
<IntegerControl saturation min=0 max=100 step=1 default=64 value=64>
>>> cam.controls["saturation"].id
9963778
>>> cam.controls[9963778]
<IntegerControl saturation min=0 max=100 step=1 default=64 value=64>
>>> cam.controls.brightness
<IntegerControl brightness min=0 max=255 step=1 default=128 value=128>
>>> cam.controls.brightness.value = 64
>>> cam.controls.brightness
<IntegerControl brightness min=0 max=255 step=1 default=128 value=64>
(see also v4l2py-ctl example)
v4l2py is asyncio friendly:
$ python -m asyncio
>>> from v4l2py import Device
>>> with Device.from_id(0) as camera:
... async for frame in camera:
... print(f"frame {len(frame)}")
frame 10224
frame 10304
frame 10224
frame 10136
...
(check basic async and web async examples)
v4l2py is also gevent friendly:
$ python
>>> from v4l2py import Device, GeventIO
>>> with Device.from_id(0, io=GeventIO) as camera:
... for frame in camera:
... print(f"frame {len(frame)}")
frame 10224
frame 10304
frame 10224
frame 10136
...
(check basic gevent and web gevent examples)
You've been patient enough to read until here so, just for you, a 20 line gem: a flask web server displaying your device on the web:
$ pip install flask
# web.py
import flask
from v4l2py import Device
app = flask.Flask('basic-web-cam')
def gen_frames():
with Device.from_id(0) as cam:
for frame in cam:
yield b"--frame\r\nContent-Type: image/jpeg\r\n\r\n" + frame.data + b"\r\n"
@app.route("/")
def index():
return '<html><img src="/stream" /></html>'
@app.route("/stream")
def stream():
return flask.Response(
gen_frames(), mimetype='multipart/x-mixed-replace; boundary=frame')
run with:
$ FLASK_APP=web flask run -h 0.0.0.0
Point your browser to 127.0.0.1:5000 and you should see your camera rolling!
A frame changed from a simple bytes object to a Frame which contains the data plus all frame metadata.
As a consequence, when migrating from 1.x to 2, you will need to cast
frame object with bytes
or access the frame.data
item:
Before:
with Device.from_id(0) as cam:
for frame in cam:
buff = io.BytesIO(frame)
Now:
with Device.from_id(0) as cam:
for frame in cam:
frame = bytes(frame) # or frame = frame.data
buff = io.BytesIO(frame)
Device controls have been improved to provide a more pythonic interface. The
new interface is the default now; however, the legacy interface can be
requested: Device.from_id(x, legacy_controls=True)
.
Before:
>>> from v4l2py import Device
>>> cam = Device.from_id(0)
>>> cam.open()
>>> for ctrl in cam.controls.values():
... print(ctrl)
... for item in ctrl.menu.values():
... print(f" - {item.index}: {item.name}")
<Control brightness type=integer min=0 max=255 step=1 default=128 value=255>
<Control contrast type=integer min=0 max=255 step=1 default=32 value=255>
<Control saturation type=integer min=0 max=100 step=1 default=64 value=100>
<Control hue type=integer min=-180 max=180 step=1 default=0 value=0>
<Control white_balance_automatic type=boolean min=0 max=1 step=1 default=1 value=1>
<Control gamma type=integer min=90 max=150 step=1 default=120 value=150>
<Control gain type=integer min=1 max=7 step=1 default=1 value=1>
<Control power_line_frequency type=menu min=0 max=2 step=1 default=2 value=2>
- 0: Disabled
- 1: 50 Hz
- 2: 60 Hz
<Control white_balance_temperature type=integer min=2800 max=6500 step=1 default=4000 value=4000 flags=inactive>
<Control sharpness type=integer min=0 max=7 step=1 default=2 value=7>
<Control backlight_compensation type=integer min=0 max=1 step=1 default=0 value=1>
<Control auto_exposure type=menu min=0 max=3 step=1 default=3 value=3>
- 1: Manual Mode
- 3: Aperture Priority Mode
<Control exposure_time_absolute type=integer min=10 max=333 step=1 default=156 value=156 flags=inactive>
<Control exposure_dynamic_framerate type=boolean min=0 max=1 step=1 default=0 value=1>
>>> type(cam.controls.exposure_dynamic_framerate.value)
<class 'int'>
Now:
>>> from v4l2py.device import Device, MenuControl
>>> cam = Device.from_id(0)
>>> cam.open()
>>> for ctrl in cam.controls.values():
... print(ctrl)
... if isinstance(ctrl, MenuControl):
... for (index, name) in ctrl.items():
... print(f" - {index}: {name}")
<IntegerControl brightness min=0 max=255 step=1 default=128 value=255>
<IntegerControl contrast min=0 max=255 step=1 default=32 value=255>
<IntegerControl saturation min=0 max=100 step=1 default=64 value=100>
<IntegerControl hue min=-180 max=180 step=1 default=0 value=0>
<BooleanControl white_balance_automatic default=True value=True>
<IntegerControl gamma min=90 max=150 step=1 default=120 value=150>
<IntegerControl gain min=1 max=7 step=1 default=1 value=1>
<MenuControl power_line_frequency default=2 value=2>
- 0: Disabled
- 1: 50 Hz
- 2: 60 Hz
<IntegerControl white_balance_temperature min=2800 max=6500 step=1 default=4000 value=4000 flags=inactive>
<IntegerControl sharpness min=0 max=7 step=1 default=2 value=7>
<IntegerControl backlight_compensation min=0 max=1 step=1 default=0 value=1>
<MenuControl auto_exposure default=3 value=3>
- 1: Manual Mode
- 3: Aperture Priority Mode
<IntegerControl exposure_time_absolute min=10 max=333 step=1 default=156 value=156 flags=inactive>
<BooleanControl exposure_dynamic_framerate default=False value=True>
>>> type(cam.controls.white_balance_automatic.value)
<class 'bool'>
>>> cam.controls.white_balance_automatic.value
<BooleanControl white_balance_automatic default=True value=True>
>>> cam.controls.white_balance_automatic.value = False
<BooleanControl white_balance_automatic default=True value=False>
>>> wba = cam.controls.white_balance_automatic
>>> wba.value = "enable" # or "on", "1", "true", "yes"
>>> wba
<BooleanControl white_balance_automatic default=True value=True>
>>> wba.value = "off" # or "disable", "0", "false", "no"
>>> wba
<BooleanControl white_balance_automatic default=True value=False>
The initial upgrade path for existing code is to request the legacy interface
by passing legacy_controls=True
when instantiating the Device
object, use
LegacyControl
instead of Control
for instantiations, and BaseControl
for isinstance() checks. And in the unlikely case your code does isinstance()
checks for MenuItem
, these should be changed to LegacyMenuItem
.
See the linux/videodev2.h
header file for details.
Video for Linux Two Specification <https://www.kernel.org/doc/html/v6.2/userspace-api/media/v4l/v4l2.html>