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from __future__ import absolute_import, print_function, division
from pymba import *
import numpy as np
import cv2
import time
#very crude example, assumes your camera is PixelMode = BAYERRG8
# start Vimba
with Vimba() as vimba:
# get system object
system = vimba.getSystem()
# list available cameras (after enabling discovery for GigE cameras)
if system.GeVTLIsPresent:
system.run_feature_command("GeVDiscoveryAllOnce")
time.sleep(0.2)
cameraIds = vimba.getCameraIds()
for cameraId in cameraIds:
print('Camera ID:', cameraId)
# get and open a camera
camera0 = vimba.getCamera(cameraIds[0])
camera0.open()
# list camera features
cameraFeatureNames = camera0.get_feature_names()
for name in cameraFeatureNames:
print('Camera feature:', name)
# read info of a camera feature
#featureInfo = camera0.getFeatureInfo('AcquisitionMode')
#for field in featInfo.getFieldNames():
# print field, '--', getattr(featInfo, field)
# get the value of a feature
print(camera0.AcquisitionMode)
# set the value of a feature
camera0.AcquisitionMode = 'SingleFrame'
# create new frames for the camera
frame0 = camera0.create_frame() # creates a frame
frame1 = camera0.create_frame() # creates a second frame
# announce frame
frame0.announce()
# capture a camera image
count = 0
while count < 10:
camera0.start_capture()
frame0.queue_capture()
camera0.run_feature_command('AcquisitionStart')
camera0.run_feature_command('AcquisitionStop')
frame0.wait_capture()
# get image data...
imgData = frame0.get_buffer()
moreUsefulImgData = np.ndarray(buffer = frame0.get_buffer(),
dtype = np.uint8,
shape = (frame0.height,
frame0.width,
1))
rgb = cv2.cvtColor(moreUsefulImgData, cv2.COLOR_BAYER_RG2RGB)
cv2.imwrite('foo{}.png'.format(count), rgb)
print("image {} saved".format(count))
count += 1
camera0.end_capture()
# clean up after capture
camera0.revoke_all_frames()
# close camera
camera0.close()
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