A Pythonic class-based wrapper for the FLIR PySpin Library.
More documentation can be found on Github Pages, and the source can be found on Github.
Note: Please do not contact me with support issues. I do not have time to troubleshoot installation issues -- if there are bugs feel free to post an issue on Github, but it is unlikely I will resolve it.
Why does this even exist, as the PySpin module already exists? Because it's a pain to use, and difficult to wrap your head around basic operations. For example, on some camera manually setting frame rate requires accessing methods by finding nodes, which is quite complicated. This library makes it incredibly simple, and can also auto-document all the features of your specific cameras for easy reference.
- If you don't already have them, I would recommend installing Numpy and the Python Imaging Library. The easiest way to do this is to install a scientific Python distribution like Anaconda.
- Install Spinnaker and PySpin from FLIR.
- You will likely need to follow several manual steps after the Spinnaker installation to get PySpin (Mac Instructions)
- Install simple_pyspin module:
- Install from PyPi:
pip install simple-pyspin. - Download source from GitHub and use
setup.py.
- Install from PyPi:
See the examples directory of the source for these examples and more.
# dead_simple.py
from simple_pyspin import Camera
with Camera() as cam: # Acquire and initialize Camera
cam.start() # Start recording
imgs = [cam.get_array() for n in range(10)] # Get 10 frames
cam.stop() # Stop recording
print(imgs[0].shape, imgs[0].dtype) # Each image is a numpy array!Note that as long as you open the camera using a with clause, you don't need to worry about initialization or cleanup of the camera -- the module handles this for you!
Equivalently, you can do this manually; the following code is functionally identical to the above:
from simple_pyspin import Camera
cam = Camera() # Acquire Camera
cam.init() # Initialize camera
cam.start() # Start recording
imgs = [cam.get_array() for n in range(10)] # Get 10 frames
cam.stop() # Stop recording
cam.close() # You should explicitly clean up
print(imgs[0].shape, imgs[0].dtype) # Each image is a numpy array!Here is a more complicated example, which manual changes a number of settings, and saves a number of images using PIL.
# manual_setup.py
from simple_pyspin import Camera
from PIL import Image
import os
with Camera() as cam: # Initialize Camera
# Set the area of interest (AOI) to the middle half
cam.Width = cam.SensorWidth // 2
cam.Height = cam.SensorHeight // 2
cam.OffsetX = cam.SensorWidth // 4
cam.OffsetY = cam.SensorHeight // 4
# If this is a color camera, get the image in RGB format.
if 'Bayer' in cam.PixelFormat:
cam.PixelFormat = "RGB8"
# To change the frame rate, we need to enable manual control
cam.AcquisitionFrameRateAuto = 'Off'
cam.AcquisitionFrameRateEnabled = True
cam.AcquisitionFrameRate = 20
# To control the exposure settings, we need to turn off auto
cam.GainAuto = 'Off'
# Set the gain to 20 dB or the maximum of the camera.
gain = min(20, cam.get_info('Gain')['max'])
print("Setting gain to %.1f dB" % gain)
cam.Gain = gain
cam.ExposureAuto = 'Off'
cam.ExposureTime = 10000 # microseconds
# If we want an easily viewable image, turn on gamma correction.
# NOTE: for scientific image processing, you probably want to
# _disable_ gamma correction!
try:
cam.GammaEnabled = True
cam.Gamma = 2.2
except:
print("Failed to change Gamma correction (not avaiable on some cameras).")
cam.start() # Start recording
imgs = [cam.get_array() for n in range(10)] # Get 10 frames
cam.stop() # Stop recording
# Make a directory to save some images
output_dir = 'test_images'
if not os.path.exists(output_dir):
os.makedirs(output_dir)
print("Saving images to: %s" % output_dir)
# Save them
# NOTE: images may be very dark or bright, depending on the camera lens and
# room conditions!
for n, img in enumerate(imgs):
Image.fromarray(img).save(os.path.join(output_dir, '%08d.png' % n))Copyright 2019 Dustin Kleckner
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.