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easy:

>>> import cv2
>>> help(cv2.threshold)
Help on built-in function threshold in module cv2:

threshold(...)
    threshold(src, thresh, maxval, type[, dst]) -> retval, dst

another idea, start the local pydoc webserver:

d:\Programme\Python27\Lib\pydoc.py -p 1234

then access it on localhost:1234 from your browser

easy:easy from the repl:

>>> import cv2
>>> help(cv2.threshold)
Help on built-in function threshold in module cv2:

threshold(...)
    threshold(src, thresh, maxval, type[, dst]) -> retval, dst

another idea, start the local pydoc webserver:

d:\Programme\Python27\Lib\pydoc.py -p 1234

then access it on localhost:1234 from your browser

easy from the repl:

>>> import cv2
>>> help(cv2.threshold)
Help on built-in function threshold in module cv2:

threshold(...)
    threshold(src, thresh, maxval, type[, dst]) -> retval, dst

for objects, you will have to create an instance first:

>>> s = cv2.SIFT()
>>> help(s)
Help on SIFT object:

class SIFT(Feature2D)
 |  Method resolution order:
 |      SIFT
 |      Feature2D
 |      FeatureDetector
 |      Algorithm
 |      __builtin__.object
 |
 |  Methods defined here:
 |
 |  __repr__(...)
 |      x.__repr__() <==> repr(x)
 |
 |  defaultNorm(...)
 |      defaultNorm() -> retval
 |
 |  descriptorSize(...)
 |      descriptorSize() -> retval
 |
 |  descriptorType(...)
 |      descriptorType() -> retval
 |
 |  ----------------------------------------------------------------------
 |  Data and other attributes defined here:
 |
 |  __new__ = <built-in method __new__ of type object>
 |      T.__new__(S, ...) -> a new object with type S, a subtype of T
 |
 |  ----------------------------------------------------------------------
 |  Methods inherited from Feature2D:
 |
 |  compute(...)
 |      compute(image, keypoints[, descriptors]) -> keypoints, descriptors
 |
 |  detectAndCompute(...)
 |      detectAndCompute(image, mask[, descriptors[, useProvidedKeypoints]]) -
keypoints, descriptors
 |
 |  ----------------------------------------------------------------------
 |  Methods inherited from FeatureDetector:
 |
 |  detect(...)
 |      detect(image[, mask]) -> keypoints
 |

 (and so on)

another idea, start the local pydoc webserver:

d:\Programme\Python27\Lib\pydoc.py -p 1234

then access it on localhost:1234 from your browser