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Requirements to use OpenCV with
Scorpion 8
To use OpenCV in Scorpion Vision you must
follow the Python 2.6
installation
guide.
OpenCV 1.1 setup
There are some additional requirements for OpenCV 1.1
OcvImage - Scorpion helper class to use OpenCV 1.1
The OcvImage python module is located here for OpenCV 1.1
Sample profiles with OpenCV 1.1
Example 1 (OpenCV 1.1): ScriptTool cvAdaptiveThreshold
from OcvImage import OcvImage
import ctypes_opencv
objectImage = OcvImage(GetTool(GetCurSource()).imageNo)
object = objectImage.GetCvImage()
try:
#Example of a useful transform - adaptive threshold
#cvAdaptiveThreshold(im,im2,max_value,adaptive_method,threshold_type,block_size,offset)
#apply to OpenCV image, can be done in place
ctypes_opencv.cvAdaptiveThreshold(object,object,125,ctypes_opencv.CV_ADAPTIVE_THRESH_MEAN_C,ctypes_opencv.CV_THRESH_BINARY_INV,7,10)
#can apply morphology if desired,
# - again safe to do in place or could make second image
ctypes_opencv.cvDilate(object,object,None,1)
# ctypes_opencv.cvErode(object,object,None,2)
OcvImage().Assign(object, "Output")
except Exception, msg:
print msg
Example 2 (OpenCV 1.1): Adding Canny Filter
#the script reside inside a Scorpion
ScriptTool
from OcvImage import OcvImage
import ctypes_opencv
objectImage = OcvImage(GetTool(GetCurSource()).imageNo)
object = objectImage.GetCvImage()
try:
ctypes_opencv.cvCanny(object, object,40, 60,3)
OcvImage().Assign(object, "Output")
except Exception, msg:
print msg
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