^jdddlmZmZmZddlmZddlmZee e fZ GddeZ de de fd Z y ) )AnyDictUnion)CanExecuteCommands) MobileCommandc eZdZdedededeeeffdZdedededeeee efffdZ dedededeeee efffd Z d d Z y ) ImagesComparison base64_image1 base64_image2optsreturnc zdt|t||d}|jtj|dS)a Performs images matching by features. Read https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_matcher/py_matcher.html for more details on this topic. The method supports all image formats, which are supported by OpenCV itself. Args: base64_image1: base64-encoded content of the first image base64_image2: base64-encoded content of the second image Keyword Args: visualize (bool): Set it to True in order to return the visualization of the matching operation. matching visualization. False by default detectorName (str): One of possible feature detector names: 'AKAZE', 'AGAST', 'BRISK', 'FAST', 'GFTT', 'KAZE', 'MSER', 'SIFT', 'ORB' Some of these detectors are not enabled in the default OpenCV deployment. 'ORB' By default. matchFunc (str): One of supported matching functions names: 'FlannBased', 'BruteForce', 'BruteForceL1', 'BruteForceHamming', 'BruteForceHammingLut', 'BruteForceSL2' 'BruteForce' by default goodMatchesFactor (int): The maximum count of "good" matches (e. g. with minimal distances). This count is unlimited by default. Returns: The dictionary containing the following entries: visualization (bytes): base64-encoded content of PNG visualization of the current comparison operation. This entry is only present if `visualize` option is enabled count (int): The count of matched edges on both images. The more matching edges there are no both images the more similar they are. totalCount (int): The total count of matched edges on both images. It is equal to `count` if `goodMatchesFactor` does not limit the matches, otherwise it contains the total count of matches before `goodMatchesFactor` is applied. points1 (dict): The array of matching points on the first image. Each point is a dictionary with 'x' and 'y' keys rect1 (dict): The bounding rect for the `points1` array or a zero rect if not enough matching points were found. The rect is represented by a dictionary with 'x', 'y', 'width' and 'height' keys points2 (dict): The array of matching points on the second image. Each point is a dictionary with 'x' and 'y' keys rect2 (dict): The bounding rect for the `points2` array or a zero rect if not enough matching points were found. The rect is represented by a dictionary with 'x', 'y', 'width' and 'height' keys matchFeaturesmode firstImage secondImageoptionsvalue_adjust_image_payloadexecuteCommandCOMPARE_IMAGESselfr r r rs a/home/ubuntu/.local/lib/python3.12/site-packages/appium/webdriver/extensions/images_comparison.pymatch_images_featuresz&ImagesComparison.match_images_featuress@^$/ >0?   ||G22G0?   ||G22Gr?sI$#N4c5j! zw)zwz{={S{r