Histogram function
def _Histogram(data, start_range, end_range, delta, x1, x2, y1, y2): # the histogram of the data bins = [] while (start_range < end_range): bins.append(start_range) start_range = start_range + delta values, bins, patches = plt.hist(data, bins, normed=False) plt.xlabel('Input Data Value') plt.ylabel('Occurrence') plt.grid(True) plt.axis([x1, x2, y1, y2]) plt.show()def _Histogram(data, min_val, ma..
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Perspective transform
import numpy as np import cv2 import matplotlib.pyplot as plt img = cv2.imread('D:/21_pycharm_project/Proj02/mark4.bmp') rows,cols,ch = img.shape # input potision pts1 = np.float32([[98,21],[187,21],[96,102],[188,102]]) # output position pts2 = np.float32([[128,21],[157,21],[96,102],[188,102]]) # get perspective transform matrix M = cv2.getPerspectiveTransform(pts1,pts2) # warp dst = cv2.warpPer..
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