python wrapper over ZWO astronomical cameras
camera-zwo-asi is a python wrapper of the C++ SDK as provided by ZWO. It provides a python object oriented interface for interacting with ZWO astronomical cameras. The version of SDK currently binded is 1.24. You may find the original C++ SDK binaries and documentation here.
camera-zwo-asi has been tested only with :
- python 3.10 on Ubuntu 20.04
- python 3.9 on raspberry pi 3 (PI OS Lite 32-bit)
but is likely to work with other recent version of python3 / ubuntu / raspberry. Compilation on other linux based platforms is less likely to be successful.
The following APT dependencies are required:
apt install -y libusb-1.0-0-dev libgl1-mesa-glx libglib2.0-dev libopencv-dev python3-dev cmake ninja-build libusb-dev
For raspberry, also install:
apt install -y libatlas-base-dev
pip install camera-zwo-asi
git clone https://github.com/MPI-IS/camera_zwo_asi.git
cd camera_zwo_asi
pip install .
Run:
zwo-asi-udev
and follow the instruction printed on screen.
Tests requires to have a usb camera plugged in. After installation from source:
cd camera_zwo_asi
pytest ./tests/test.py
The following command line tools are provided:
# will print information about connected cameras
zwo-asi-print
# will create in the current folder a file called 'zwo_asi.toml' which
# contains the current configuration of the camera
zwo-asi-dump
# Takes a picture and display it. If there is a file 'zwo-asi.toml' in the current
# directory, configure first the camera using it.
zwo-asi-shot
# Same as above, but does not display the image.
zwo-asi-shot -silent
# Same as above, and also save the file to /tmp/img.bmp
# For the list of supported file formats:
# https://docs.opencv.org/2.4/modules/highgui/doc/reading_and_writing_images_and_video.html#imread
zwo-asi-shot -silent --path /tmp/img.bmp
# Same as above, but ignores the 'zwo-asi.toml' file that may be in the
# current directory.
zwo-asi-shot -silent -noconfig --path /tmp/img.bmp
# Same as above, but uses the second camera (index 1).
# Will work only if at least two cameras are connected.
zwo-asi-shot -silent -noconfig --path /tmp/img.bmp --index 1
# Getting info:
zwo-asi-shot -h
# generate the file corresponding to the current camera's configuration
zwo-asi-dump
#
# edit zwo_asi.toml to your liking.
#
# take a picture with your desired configuration
zwo-asi-shot
When setting up the configuration (by editing zwo_asi.toml
), some controllable supports 'auto mode' and some are not writable. When calling zwo-asi-print
, you may see which ones, by looking at the column 'auto-mode' and 'writable'. For example:
(asi sdk: 1, 24, 0, 0)
ZWO ASI294MC Pro (id: 0)
max heigth: (2822) | max width: (4144) |
colored: * | mechanical shuttger: - | st4 port: - |
has cooler: * | is usb3 host: * | is usb3: * |
is triggered camera: - | bayer pattern: RG
supported bins: 1 2 3 4
supported image types: raw8 rgb24 raw16 y8
pixel size (um): 4.63 | elec per ADU: 0.399 | bit depth: 14
|controllable |value |min value |max value |auto-mode |in auto-mode |writable
--
|AutoExpMaxExpMS |30000 |1 |60000 | | |*
|AutoExpMaxGain |285 |0 |570 | | |*
|AutoExpTargetBrightness |100 |50 |160 | | |*
|BandWidth |80 |40 |100 |* |* |*
|CoolPowerPerc |0 |0 |100 | | |
|CoolerOn |0 |0 |1 | | |*
|Exposure |10000 |32 |2000000000 |* | |*
|Flip |0 |0 |3 | | |*
|Gain |200 |0 |570 |* | |*
|HighSpeedMode |0 |0 |1 | | |*
|MonoBin |0 |0 |1 | | |*
|Offset |8 |0 |80 | | |*
|TargetTemp |0 |-40 |30 | | |*
|Temperature |0 |-500 |1000 | | |
|WB_B |95 |1 |99 |* | |*
|WB_R |52 |1 |99 |* | |*
BandWidth
supports auto-mode and is currently in auto-mode, Exposure
supports auto-mode
but is not currently in auto-mode. Temperature is not writable.
To set in zwo_asi.toml
a controllable in auto mode, use the string "auto". For example, this sets BandWidth to auto-mode:
[controllables]
AutoExpMaxExpMS = 30000
AutoExpMaxGain = 285
AutoExpTargetBrightness = 100
BandWidth = "auto"
CoolerOn = 0
Exposure = 10000
Flip = 0
Gain = 200
HighSpeedMode = 0
MonoBin = 0
Offset = 8
TargetTemp = 0
WB_B = 95
WB_R = 52
There are also a few rules that has to be respected when setting the values of the ROI (Region Of Interest):
- the width and height are positive, and below the max allowed values
- the width must be a multiple of 8
- the height must be a multiple of 2
- binned sensor width and height must be respected (i.e. start_x + width < max_width / number bins; and start_y + height < max_height / number_bins)
For example, this respects these rules:
[roi]
start_x = 0
start_y = 0
width = 4144
height = 2822
bins = 1
type = "raw8"
note:
when the camera closes, it restores its configuration. Therefore calling zwo-asi-print
after taking a picture with zwo-asi-shot
may not display the configuration that was used to take the picture.
from pathlib import Path
import camera_zwo_asi
# connecting to the camera
# at index 0
camera = camera_zwo_asi.Camera(0)
# printing information in the
# terminal
print(camera)
# changing some controllables
# (supported arguments: the one that are
# indicated as 'writable' in the information
# printed above)
camera.set_control("Gain",300)
camera.set_control("Exposure","auto")
# changing the ROI (region of interest)
roi = camera.get_roi()
roi.type = camera_zwo_asi.ImageType.rgb24
roi.start_x = 20
roi.start_y = 20
roi.bins = 2
roi.width = 480
roi.height = 340
camera.set_roi(roi)
# saving this updated configuration to a file
conf_path = Path("/tmp") / "asi.toml"
camera.to_toml(conf_path)
# taking the picture
filepath = Path("/tmp") / "asi.bmp"
show = True
# filepath and show are optional, if you do not
# want to save the image or display it
image = camera.capture(filepath=filepath,show=show)
# getting a flat numpy array with the image data
image.get_data()
# getting a shaped numpy array with image data
image.get_image()
# showing the image
image.display(resize=0.25)
# saving the image (once more, for demo)
image.save(filepath)
# configuring the camera using a configuration file
camera.configure_from_toml(conf_path)
# taking a picture, overwriting the previous image
camera.capture(image=image)
image.display(resize=1.5)
python-zwoasi is another python wrapper for ZWO cameras.
Vincent Berenz, Max Planck Institute for Intelligent Systems, Empirical Inference Department
Copyright 2022 Max Planck Gesellschaft