import numpy as np def hist_match ( source , template ): """ Adjust the pixel values of a grayscale image such that its histogram matches that of a target image Arguments: ----------- source: np.ndarray Image to transform; the histogram is computed over the flattened array template: np.ndarray Template image; can have different dimensions to source Returns: ----------- matched: np.ndarray The transformed output image """ oldshape = source . shape source = source . ravel () template = template . ravel () # get the set of unique pixel values and their corresponding indices and # counts s_values , bin_idx , s_counts = np . unique ( source , return_inverse = True , return_counts = True ) t_values , t_counts = np . unique ( template , return_counts = True ) ...
ofSetColor(255);
답글삭제ofEnableAlphaBlending(); // 두 이미지 겹쳐지게
float wave = sin(ofGetElapsedTimef()); // 시간에 대한 사인파
transparency.draw(500 + (wave * 100), 20); // x위치 주기적 변하게
ofDisableAlphaBlending();