VisionFlow Match

{'type': 'object', 'required': ['image', 'template'], 'properties': {'image': {'type': 'string', 'description': 'Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works). At most 4 million pixels and about 2 MB. Alpha is dropped.'}, 'ratio': {'type': 'number', 'description': "Lowe's ratio test threshold, 0.5-0.95 (default 0.75): a match is kept when its distance is below ratio times the second-best distance"}, 'detector': {'enum': ['orb', 'sift'], 'type': 'string', 'description': 'Keypoint detector and descriptor: orb (default, fast, binary descriptors, Hamming distance) or sift (slower, better with scale changes, L2 distance)'}, 'template': {'type': 'string', 'description': 'Base64 of the pattern to find, same formats. At most 1 million pixels and about 1 MB.'}, 'max_matches': {'type': 'integer', 'description': 'Most matches listed, 1-200 (default 50); goodMatches always counts all of them'}, 'max_features': {'type': 'integer', 'description': 'Most keypoints kept per image, 100-5000 (default 2000)'}}}

{'type': 'object', 'required': ['image', 'template'], 'properties': {'image': {'type': 'string', 'description': 'Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works). At most 4 million pixels and about 2 MB. Alpha is dropped.'}, 'ratio': {'type': 'number', 'description': "Lowe's ratio test threshold, 0.5-0.95 (default 0.75): a match is kept when its distance is below ratio times the second-best distance"}, 'detector': {'enum': ['orb', 'sift'], 'type': 'string', 'description': 'Keypoint detector and descriptor: orb (default, fast, binary descriptors, Hamming distance) or sift (slower, better with scale changes, L2 distance)'}, 'template': {'type': 'string', 'description': 'Base64 of the pattern to find, same formats. At most 1 million pixels and about 1 MB. Needs visible texture or corners; a flat-coloured pattern has no features.'}, 'min_inliers': {'type': 'integer', 'description': 'Fewest RANSAC inliers for found to be true, 4-200 (default 10)'}, 'max_features': {'type': 'integer', 'description': 'Most keypoints kept per image, 100-5000 (default 2000)'}, 'reproj_threshold': {'type': 'number', 'description': 'RANSAC reprojection error in pixels below which a match is an inlier, 0.5-20 (default 3)'}}}

{'type': 'object', 'required': ['image', 'template'], 'properties': {'image': {'type': 'string', 'description': 'Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works). At most 4 million pixels and about 2 MB. Alpha is dropped.'}, 'method': {'enum': ['TM_CCOEFF_NORMED', 'TM_CCORR_NORMED', 'TM_SQDIFF_NORMED'], 'type': 'string', 'description': 'OpenCV matching method (default TM_CCOEFF_NORMED, robust to brightness change). Scores are 0-1, higher is better; for TM_SQDIFF_NORMED the score is 1 minus the squared-difference value'}, 'template': {'type': 'string', 'description': 'Base64 of the pattern to find, same formats. At most 1 million pixels and about 1 MB. Must fit inside the image.'}, 'grayscale': {'type': 'boolean', 'description': 'Match on grayscale versions of both images (default false: match all three colour channels)'}, 'threshold': {'type': 'number', 'description': 'Minimum score for a match, 0-1 (default 0.8)'}, 'max_matches': {'type': 'integer', 'description': 'Most matches returned, 1-50 (default 5); overlapping positions are suppressed'}}}