611 lines
23 KiB
Python
611 lines
23 KiB
Python
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# PyScreeze
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"""
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NOTE:
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Apparently Pillow support on Ubuntu 64-bit has several additional steps since it doesn't have JPEG/PNG support out of the box. Description here:
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https://stackoverflow.com/questions/7648200/pip-install-pil-e-tickets-1-no-jpeg-png-support
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http://ubuntuforums.org/showthread.php?t=1751455
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"""
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__version__ = '0.1.26'
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import collections
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import datetime
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import functools
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import os
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import subprocess
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import sys
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import time
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import errno
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from contextlib import contextmanager
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try:
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from PIL import Image
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from PIL import ImageOps
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from PIL import ImageDraw
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if sys.platform == 'win32': # TODO - Pillow now supports ImageGrab on macOS.
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from PIL import ImageGrab
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_PILLOW_UNAVAILABLE = False
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except ImportError:
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# We ignore this because failures due to Pillow not being installed
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# should only happen when the functions that specifically depend on
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# Pillow are called. The main use case is when PyAutoGUI imports
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# PyScreeze, but Pillow isn't installed because the user is running
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# some platform/version of Python that Pillow doesn't support, then
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# importing PyAutoGUI should not automatically fail because it
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# imports PyScreeze.
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# So we have a `pass` statement here since a failure to import
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# Pillow shouldn't crash PyScreeze.
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_PILLOW_UNAVAILABLE = True
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try:
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import cv2, numpy
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useOpenCV = True
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RUNNING_CV_2 = cv2.__version__[0] < '3'
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except ImportError:
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useOpenCV = False
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RUNNING_PYTHON_2 = sys.version_info[0] == 2
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if useOpenCV:
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if RUNNING_CV_2:
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LOAD_COLOR = cv2.CV_LOAD_IMAGE_COLOR
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LOAD_GRAYSCALE = cv2.CV_LOAD_IMAGE_GRAYSCALE
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else:
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LOAD_COLOR = cv2.IMREAD_COLOR
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LOAD_GRAYSCALE = cv2.IMREAD_GRAYSCALE
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if not RUNNING_PYTHON_2:
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unicode = str # On Python 3, all the isinstance(spam, (str, unicode)) calls will work the same as Python 2.
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if sys.platform == 'win32':
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# On Windows, the monitor scaling can be set to something besides normal 100%.
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# PyScreeze and Pillow needs to account for this to make accurate screenshots.
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# TODO - How does macOS and Linux handle monitor scaling?
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import ctypes
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try:
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ctypes.windll.user32.SetProcessDPIAware()
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except AttributeError:
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pass # Windows XP doesn't support monitor scaling, so just do nothing.
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GRAYSCALE_DEFAULT = False
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# For version 0.1.19 I changed it so that ImageNotFoundException was raised
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# instead of returning None. In hindsight, this change came too late, so I'm
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# changing it back to returning None. But I'm also including this option for
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# folks who would rather have it raise an exception.
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USE_IMAGE_NOT_FOUND_EXCEPTION = False
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scrotExists = False
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try:
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if sys.platform not in ('java', 'darwin', 'win32'):
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whichProc = subprocess.Popen(
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['which', 'scrot'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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scrotExists = whichProc.wait() == 0
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except OSError as ex:
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if ex.errno == errno.ENOENT:
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# if there is no "which" program to find scrot, then assume there
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# is no scrot.
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pass
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else:
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raise
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if sys.platform == 'win32':
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from ctypes import windll
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# win32 DC(DeviceContext) Manager
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@contextmanager
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def __win32_openDC(hWnd):
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"""
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TODO
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"""
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hDC = windll.user32.GetDC(hWnd)
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if hDC == 0: #NULL
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raise WindowsError("windll.user32.GetDC failed : return NULL")
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try:
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yield hDC
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finally:
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if windll.user32.ReleaseDC(hWnd, hDC) == 0:
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raise WindowsError("windll.user32.ReleaseDC failed : return 0")
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Box = collections.namedtuple('Box', 'left top width height')
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Point = collections.namedtuple('Point', 'x y')
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RGB = collections.namedtuple('RGB', 'red green blue')
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class PyScreezeException(Exception):
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pass # This is a generic exception class raised when a PyScreeze-related error happens.
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class ImageNotFoundException(PyScreezeException):
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pass # This is an exception class raised when the locate functions fail to locate an image.
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def requiresPillow(wrappedFunction):
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"""
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A decorator that marks a function as requiring Pillow to be installed.
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This raises PyScreezeException if Pillow wasn't imported.
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"""
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@functools.wraps(wrappedFunction)
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def wrapper(*args, **kwargs):
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if _PILLOW_UNAVAILABLE:
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raise PyScreezeException('The Pillow package is required to use this function.')
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return wrappedFunction(*args, **kwargs)
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return wrapper
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def _load_cv2(img, grayscale=None):
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"""
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TODO
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"""
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# load images if given filename, or convert as needed to opencv
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# Alpha layer just causes failures at this point, so flatten to RGB.
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# RGBA: load with -1 * cv2.CV_LOAD_IMAGE_COLOR to preserve alpha
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# to matchTemplate, need template and image to be the same wrt having alpha
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if grayscale is None:
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grayscale = GRAYSCALE_DEFAULT
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if isinstance(img, (str, unicode)):
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# The function imread loads an image from the specified file and
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# returns it. If the image cannot be read (because of missing
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# file, improper permissions, unsupported or invalid format),
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# the function returns an empty matrix
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# http://docs.opencv.org/3.0-beta/modules/imgcodecs/doc/reading_and_writing_images.html
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if grayscale:
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img_cv = cv2.imread(img, LOAD_GRAYSCALE)
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else:
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img_cv = cv2.imread(img, LOAD_COLOR)
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if img_cv is None:
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raise IOError("Failed to read %s because file is missing, "
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"has improper permissions, or is an "
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"unsupported or invalid format" % img)
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elif isinstance(img, numpy.ndarray):
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# don't try to convert an already-gray image to gray
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if grayscale and len(img.shape) == 3: # and img.shape[2] == 3:
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img_cv = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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else:
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img_cv = img
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elif hasattr(img, 'convert'):
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# assume its a PIL.Image, convert to cv format
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img_array = numpy.array(img.convert('RGB'))
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img_cv = img_array[:, :, ::-1].copy() # -1 does RGB -> BGR
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if grayscale:
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img_cv = cv2.cvtColor(img_cv, cv2.COLOR_BGR2GRAY)
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else:
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raise TypeError('expected an image filename, OpenCV numpy array, or PIL image')
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return img_cv
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def _locateAll_opencv(needleImage, haystackImage, grayscale=None, limit=10000, region=None, step=1,
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confidence=0.999):
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"""
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TODO - rewrite this
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faster but more memory-intensive than pure python
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step 2 skips every other row and column = ~3x faster but prone to miss;
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to compensate, the algorithm automatically reduces the confidence
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threshold by 5% (which helps but will not avoid all misses).
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limitations:
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- OpenCV 3.x & python 3.x not tested
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- RGBA images are treated as RBG (ignores alpha channel)
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"""
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if grayscale is None:
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grayscale = GRAYSCALE_DEFAULT
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confidence = float(confidence)
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needleImage = _load_cv2(needleImage, grayscale)
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needleHeight, needleWidth = needleImage.shape[:2]
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haystackImage = _load_cv2(haystackImage, grayscale)
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if region:
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haystackImage = haystackImage[region[1]:region[1]+region[3],
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region[0]:region[0]+region[2]]
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else:
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region = (0, 0) # full image; these values used in the yield statement
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if (haystackImage.shape[0] < needleImage.shape[0] or
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haystackImage.shape[1] < needleImage.shape[1]):
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# avoid semi-cryptic OpenCV error below if bad size
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raise ValueError('needle dimension(s) exceed the haystack image or region dimensions')
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if step == 2:
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confidence *= 0.95
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needleImage = needleImage[::step, ::step]
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haystackImage = haystackImage[::step, ::step]
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else:
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step = 1
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# get all matches at once, credit: https://stackoverflow.com/questions/7670112/finding-a-subimage-inside-a-numpy-image/9253805#9253805
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result = cv2.matchTemplate(haystackImage, needleImage, cv2.TM_CCOEFF_NORMED)
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match_indices = numpy.arange(result.size)[(result > confidence).flatten()]
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matches = numpy.unravel_index(match_indices[:limit], result.shape)
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if len(matches[0]) == 0:
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if USE_IMAGE_NOT_FOUND_EXCEPTION:
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raise ImageNotFoundException('Could not locate the image (highest confidence = %.3f)' % result.max())
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else:
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return
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# use a generator for API consistency:
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matchx = matches[1] * step + region[0] # vectorized
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matchy = matches[0] * step + region[1]
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for x, y in zip(matchx, matchy):
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yield Box(x, y, needleWidth, needleHeight)
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# TODO - We should consider renaming _locateAll_python to _locateAll_pillow, since Pillow is the real dependency.
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@requiresPillow
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def _locateAll_python(needleImage, haystackImage, grayscale=None, limit=None, region=None, step=1):
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"""
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TODO
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"""
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# setup all the arguments
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if grayscale is None:
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grayscale = GRAYSCALE_DEFAULT
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needleFileObj = None
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if isinstance(needleImage, (str, unicode)):
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# 'image' is a filename, load the Image object
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needleFileObj = open(needleImage, 'rb')
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needleImage = Image.open(needleFileObj)
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haystackFileObj = None
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if isinstance(haystackImage, (str, unicode)):
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# 'image' is a filename, load the Image object
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haystackFileObj = open(haystackImage, 'rb')
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haystackImage = Image.open(haystackFileObj)
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if region is not None:
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haystackImage = haystackImage.crop((region[0], region[1], region[0] + region[2], region[1] + region[3]))
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else:
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region = (0, 0) # set to 0 because the code always accounts for a region
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if grayscale: # if grayscale mode is on, convert the needle and haystack images to grayscale
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needleImage = ImageOps.grayscale(needleImage)
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haystackImage = ImageOps.grayscale(haystackImage)
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else:
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# if not using grayscale, make sure we are comparing RGB images, not RGBA images.
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if needleImage.mode == 'RGBA':
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needleImage = needleImage.convert('RGB')
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if haystackImage.mode == 'RGBA':
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haystackImage = haystackImage.convert('RGB')
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# setup some constants we'll be using in this function
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needleWidth, needleHeight = needleImage.size
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haystackWidth, haystackHeight = haystackImage.size
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needleImageData = tuple(needleImage.getdata())
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haystackImageData = tuple(haystackImage.getdata())
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needleImageRows = [needleImageData[y * needleWidth:(y+1) * needleWidth] for y in range(needleHeight)] # LEFT OFF - check this
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needleImageFirstRow = needleImageRows[0]
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assert len(needleImageFirstRow) == needleWidth, 'For some reason, the calculated width of first row of the needle image is not the same as the width of the image.'
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assert [len(row) for row in needleImageRows] == [needleWidth] * needleHeight, 'For some reason, the needleImageRows aren\'t the same size as the original image.'
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numMatchesFound = 0
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# NOTE: After running tests/benchmarks.py on the following code, it seem that having a step
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# value greater than 1 does not give *any* significant performance improvements.
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# Since using a step higher than 1 makes for less accurate matches, it will be
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# set to 1.
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step = 1 # hard-code step as 1 until a way to improve it can be figured out.
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if step == 1:
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firstFindFunc = _kmp
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else:
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firstFindFunc = _steppingFind
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for y in range(haystackHeight): # start at the leftmost column
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for matchx in firstFindFunc(needleImageFirstRow, haystackImageData[y * haystackWidth:(y+1) * haystackWidth], step):
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foundMatch = True
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for searchy in range(1, needleHeight, step):
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haystackStart = (searchy + y) * haystackWidth + matchx
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if needleImageData[searchy * needleWidth:(searchy+1) * needleWidth] != haystackImageData[haystackStart:haystackStart + needleWidth]:
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foundMatch = False
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break
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if foundMatch:
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# Match found, report the x, y, width, height of where the matching region is in haystack.
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numMatchesFound += 1
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yield Box(matchx + region[0], y + region[1], needleWidth, needleHeight)
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if limit is not None and numMatchesFound >= limit:
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# Limit has been reached. Close file handles.
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if needleFileObj is not None:
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needleFileObj.close()
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if haystackFileObj is not None:
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haystackFileObj.close()
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return
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# There was no limit or the limit wasn't reached, but close the file handles anyway.
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if needleFileObj is not None:
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needleFileObj.close()
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if haystackFileObj is not None:
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haystackFileObj.close()
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if numMatchesFound == 0:
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if USE_IMAGE_NOT_FOUND_EXCEPTION:
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raise ImageNotFoundException('Could not locate the image.')
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else:
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return
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def locate(needleImage, haystackImage, **kwargs):
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"""
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TODO
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"""
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# Note: The gymnastics in this function is because we want to make sure to exhaust the iterator so that the needle and haystack files are closed in locateAll.
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kwargs['limit'] = 1
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points = tuple(locateAll(needleImage, haystackImage, **kwargs))
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if len(points) > 0:
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return points[0]
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else:
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if USE_IMAGE_NOT_FOUND_EXCEPTION:
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raise ImageNotFoundException('Could not locate the image.')
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else:
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return None
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def locateOnScreen(image, minSearchTime=0, **kwargs):
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"""TODO - rewrite this
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||
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|
minSearchTime - amount of time in seconds to repeat taking
|
||
|
|
screenshots and trying to locate a match. The default of 0 performs
|
||
|
|
a single search.
|
||
|
|
"""
|
||
|
|
start = time.time()
|
||
|
|
while True:
|
||
|
|
try:
|
||
|
|
screenshotIm = screenshot(region=None) # the locateAll() function must handle cropping to return accurate coordinates, so don't pass a region here.
|
||
|
|
retVal = locate(image, screenshotIm, **kwargs)
|
||
|
|
try:
|
||
|
|
screenshotIm.fp.close()
|
||
|
|
except AttributeError:
|
||
|
|
# Screenshots on Windows won't have an fp since they came from
|
||
|
|
# ImageGrab, not a file. Screenshots on Linux will have fp set
|
||
|
|
# to None since the file has been unlinked
|
||
|
|
pass
|
||
|
|
if retVal or time.time() - start > minSearchTime:
|
||
|
|
return retVal
|
||
|
|
except ImageNotFoundException:
|
||
|
|
if time.time() - start > minSearchTime:
|
||
|
|
if USE_IMAGE_NOT_FOUND_EXCEPTION:
|
||
|
|
raise
|
||
|
|
else:
|
||
|
|
return None
|
||
|
|
|
||
|
|
|
||
|
|
def locateAllOnScreen(image, **kwargs):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
|
||
|
|
# TODO - Should this raise an exception if zero instances of the image can be found on the screen, instead of always returning a generator?
|
||
|
|
screenshotIm = screenshot(region=None) # the locateAll() function must handle cropping to return accurate coordinates, so don't pass a region here.
|
||
|
|
retVal = locateAll(image, screenshotIm, **kwargs)
|
||
|
|
try:
|
||
|
|
screenshotIm.fp.close()
|
||
|
|
except AttributeError:
|
||
|
|
# Screenshots on Windows won't have an fp since they came from
|
||
|
|
# ImageGrab, not a file. Screenshots on Linux will have fp set
|
||
|
|
# to None since the file has been unlinked
|
||
|
|
pass
|
||
|
|
return retVal
|
||
|
|
|
||
|
|
|
||
|
|
def locateCenterOnScreen(image, **kwargs):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
coords = locateOnScreen(image, **kwargs)
|
||
|
|
if coords is None:
|
||
|
|
return None
|
||
|
|
else:
|
||
|
|
return center(coords)
|
||
|
|
|
||
|
|
|
||
|
|
@requiresPillow
|
||
|
|
def showRegionOnScreen(region, outlineColor='red', filename='_showRegionOnScreen.png'):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
# TODO - This function is useful! Document it!
|
||
|
|
screenshotIm = screenshot()
|
||
|
|
draw = ImageDraw.Draw(screenshotIm)
|
||
|
|
region = (region[0], region[1], region[2] + region[0], region[3] + region[1]) # convert from (left, top, right, bottom) to (left, top, width, height)
|
||
|
|
draw.rectangle(region, outline=outlineColor)
|
||
|
|
screenshotIm.save(filename)
|
||
|
|
|
||
|
|
|
||
|
|
@requiresPillow
|
||
|
|
def _screenshot_win32(imageFilename=None, region=None):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
# TODO - Use the winapi to get a screenshot, and compare performance with ImageGrab.grab()
|
||
|
|
# https://stackoverflow.com/a/3586280/1893164
|
||
|
|
im = ImageGrab.grab()
|
||
|
|
if region is not None:
|
||
|
|
assert len(region) == 4, 'region argument must be a tuple of four ints'
|
||
|
|
region = [int(x) for x in region]
|
||
|
|
im = im.crop((region[0], region[1], region[2] + region[0], region[3] + region[1]))
|
||
|
|
if imageFilename is not None:
|
||
|
|
im.save(imageFilename)
|
||
|
|
return im
|
||
|
|
|
||
|
|
|
||
|
|
def _screenshot_osx(imageFilename=None, region=None):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
# TODO - use tmp name for this file.
|
||
|
|
if imageFilename is None:
|
||
|
|
tmpFilename = 'screenshot%s.png' % (datetime.datetime.now().strftime('%Y-%m%d_%H-%M-%S-%f'))
|
||
|
|
else:
|
||
|
|
tmpFilename = imageFilename
|
||
|
|
subprocess.call(['screencapture', '-x', tmpFilename])
|
||
|
|
im = Image.open(tmpFilename)
|
||
|
|
|
||
|
|
if region is not None:
|
||
|
|
assert len(region) == 4, 'region argument must be a tuple of four ints'
|
||
|
|
region = [int(x) for x in region]
|
||
|
|
im = im.crop((region[0], region[1], region[2] + region[0], region[3] + region[1]))
|
||
|
|
os.unlink(tmpFilename) # delete image of entire screen to save cropped version
|
||
|
|
im.save(tmpFilename)
|
||
|
|
else:
|
||
|
|
# force loading before unlinking, Image.open() is lazy
|
||
|
|
im.load()
|
||
|
|
|
||
|
|
if imageFilename is None:
|
||
|
|
os.unlink(tmpFilename)
|
||
|
|
return im
|
||
|
|
|
||
|
|
|
||
|
|
def _screenshot_linux(imageFilename=None, region=None):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
if not scrotExists:
|
||
|
|
raise NotImplementedError('"scrot" must be installed to use screenshot functions in Linux. Run: sudo apt-get install scrot')
|
||
|
|
if imageFilename is None:
|
||
|
|
tmpFilename = '.screenshot%s.png' % (datetime.datetime.now().strftime('%Y-%m%d_%H-%M-%S-%f'))
|
||
|
|
else:
|
||
|
|
tmpFilename = imageFilename
|
||
|
|
if scrotExists:
|
||
|
|
subprocess.call(['scrot', '-z', tmpFilename])
|
||
|
|
im = Image.open(tmpFilename)
|
||
|
|
|
||
|
|
if region is not None:
|
||
|
|
assert len(region) == 4, 'region argument must be a tuple of four ints'
|
||
|
|
region = [int(x) for x in region]
|
||
|
|
im = im.crop((region[0], region[1], region[2] + region[0], region[3] + region[1]))
|
||
|
|
os.unlink(tmpFilename) # delete image of entire screen to save cropped version
|
||
|
|
im.save(tmpFilename)
|
||
|
|
else:
|
||
|
|
# force loading before unlinking, Image.open() is lazy
|
||
|
|
im.load()
|
||
|
|
|
||
|
|
if imageFilename is None:
|
||
|
|
os.unlink(tmpFilename)
|
||
|
|
return im
|
||
|
|
else:
|
||
|
|
raise Exception('The scrot program must be installed to take a screenshot with PyScreeze on Linux. Run: sudo apt-get install scrot')
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
def _kmp(needle, haystack, _dummy): # Knuth-Morris-Pratt search algorithm implementation (to be used by screen capture)
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
# build table of shift amounts
|
||
|
|
shifts = [1] * (len(needle) + 1)
|
||
|
|
shift = 1
|
||
|
|
for pos in range(len(needle)):
|
||
|
|
while shift <= pos and needle[pos] != needle[pos-shift]:
|
||
|
|
shift += shifts[pos-shift]
|
||
|
|
shifts[pos+1] = shift
|
||
|
|
|
||
|
|
# do the actual search
|
||
|
|
startPos = 0
|
||
|
|
matchLen = 0
|
||
|
|
for c in haystack:
|
||
|
|
while matchLen == len(needle) or \
|
||
|
|
matchLen >= 0 and needle[matchLen] != c:
|
||
|
|
startPos += shifts[matchLen]
|
||
|
|
matchLen -= shifts[matchLen]
|
||
|
|
matchLen += 1
|
||
|
|
if matchLen == len(needle):
|
||
|
|
yield startPos
|
||
|
|
|
||
|
|
|
||
|
|
def _steppingFind(needle, haystack, step):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
for startPos in range(0, len(haystack) - len(needle) + 1):
|
||
|
|
foundMatch = True
|
||
|
|
for pos in range(0, len(needle), step):
|
||
|
|
if haystack[startPos + pos] != needle[pos]:
|
||
|
|
foundMatch = False
|
||
|
|
break
|
||
|
|
if foundMatch:
|
||
|
|
yield startPos
|
||
|
|
|
||
|
|
|
||
|
|
def center(coords):
|
||
|
|
"""
|
||
|
|
Returns a `Point` object with the x and y set to an integer determined by the format of `coords`.
|
||
|
|
|
||
|
|
The `coords` argument is a 4-integer tuple of (left, top, width, height).
|
||
|
|
|
||
|
|
For example:
|
||
|
|
|
||
|
|
>>> center((10, 10, 6, 8))
|
||
|
|
Point(x=13, y=14)
|
||
|
|
>>> center((10, 10, 7, 9))
|
||
|
|
Point(x=13, y=14)
|
||
|
|
>>> center((10, 10, 8, 10))
|
||
|
|
Point(x=14, y=15)
|
||
|
|
"""
|
||
|
|
|
||
|
|
# TODO - one day, add code to handle a Box namedtuple.
|
||
|
|
return Point(coords[0] + int(coords[2] / 2), coords[1] + int(coords[3] / 2))
|
||
|
|
|
||
|
|
|
||
|
|
def pixelMatchesColor(x, y, expectedRGBColor, tolerance=0):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
pix = pixel(x, y)
|
||
|
|
if len(pix) == 3 or len(expectedRGBColor) == 3: #RGB mode
|
||
|
|
r, g, b = pix[:3]
|
||
|
|
exR, exG, exB = expectedRGBColor[:3]
|
||
|
|
return (abs(r - exR) <= tolerance) and (abs(g - exG) <= tolerance) and (abs(b - exB) <= tolerance)
|
||
|
|
elif len(pix) == 4 and len(expectedRGBColor) == 4: #RGBA mode
|
||
|
|
r, g, b, a = pix
|
||
|
|
exR, exG, exB, exA = expectedRGBColor
|
||
|
|
return (abs(r - exR) <= tolerance) and (abs(g - exG) <= tolerance) and (abs(b - exB) <= tolerance) and (abs(a - exA) <= tolerance)
|
||
|
|
else:
|
||
|
|
assert False, 'Color mode was expected to be length 3 (RGB) or 4 (RGBA), but pixel is length %s and expectedRGBColor is length %s' % (len(pix), len(expectedRGBColor))
|
||
|
|
|
||
|
|
def pixel(x, y):
|
||
|
|
"""
|
||
|
|
TODO
|
||
|
|
"""
|
||
|
|
if sys.platform == 'win32':
|
||
|
|
# On Windows, calling GetDC() and GetPixel() is twice as fast as using our screenshot() function.
|
||
|
|
with __win32_openDC(0) as hdc: # handle will be released automatically
|
||
|
|
color = windll.gdi32.GetPixel(hdc, x, y)
|
||
|
|
if color < 0:
|
||
|
|
raise WindowsError("windll.gdi32.GetPixel failed : return {}".format(color))
|
||
|
|
# color is in the format 0xbbggrr https://msdn.microsoft.com/en-us/library/windows/desktop/dd183449(v=vs.85).aspx
|
||
|
|
bbggrr = "{:0>6x}".format(color) # bbggrr => 'bbggrr' (hex)
|
||
|
|
b, g, r = (int(bbggrr[i:i+2], 16) for i in range(0, 6, 2))
|
||
|
|
return (r, g, b)
|
||
|
|
else:
|
||
|
|
# Need to select only the first three values of the color in
|
||
|
|
# case the returned pixel has an alpha channel
|
||
|
|
return RGB(*(screenshot().getpixel((x, y))[:3]))
|
||
|
|
|
||
|
|
|
||
|
|
# set the screenshot() function based on the platform running this module
|
||
|
|
if sys.platform.startswith('java'):
|
||
|
|
raise NotImplementedError('Jython is not yet supported by PyScreeze.')
|
||
|
|
elif sys.platform == 'darwin':
|
||
|
|
screenshot = _screenshot_osx
|
||
|
|
elif sys.platform == 'win32':
|
||
|
|
screenshot = _screenshot_win32
|
||
|
|
else: # TODO - Make this more specific. "Anything else" does not necessarily mean "Linux".
|
||
|
|
screenshot = _screenshot_linux
|
||
|
|
|
||
|
|
grab = screenshot # for compatibility with Pillow/PIL's ImageGrab module.
|
||
|
|
|
||
|
|
# set the locateAll function to use opencv if possible; python 3 needs opencv 3.0+
|
||
|
|
# TODO - Should this raise an exception if zero instances of the image can be found on the screen, instead of always returning a generator?
|
||
|
|
if useOpenCV:
|
||
|
|
locateAll = _locateAll_opencv
|
||
|
|
if not RUNNING_PYTHON_2 and cv2.__version__ < '3':
|
||
|
|
locateAll = _locateAll_python
|
||
|
|
else:
|
||
|
|
locateAll = _locateAll_python
|