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z^!BS-6LG2$7lDe6-#O=#=|qoJjEq~J#+$H-fDQ8Z&*4sFP`FmkeJU86f^qFi(vUC* wG>VPJNPy>>jiOaKCz0Bovh~3krZba~*0U)8*#H0l0000000000000000I67YGXMYp literal 0 HcmV?d00001 diff --git a/src/helpers/template_extraction/script.py b/src/helpers/template_extraction/script.py index aaa8cf1..cdd2d4b 100644 --- a/src/helpers/template_extraction/script.py +++ b/src/helpers/template_extraction/script.py @@ -2,6 +2,7 @@ import cv2 import numpy as np import sys import os +import math as m # command: # python template.py input_folder output_folder @@ -31,36 +32,40 @@ if(not os.path.isdir(output_folder)): print("Output folder not found") exit() +scale_percentage = 25 + # Aruco params detector_params = cv2.aruco.DetectorParameters() dictionary = cv2.aruco.getPredefinedDictionary(cv2.aruco.DICT_ARUCO_ORIGINAL) detector = cv2.aruco.ArucoDetector(dictionary, detector_params) for file in os.listdir(input_folder): + # Laad een plaatje filename = input_folder + '/' + file out_filename = output_folder + '/' + file img = cv2.imread(filename, 0) - small_img = cv2.resize(img, (750, 750)) + + # Rescaling + x_scale = int(img.shape[0]/100*scale_percentage) + y_scale = int(img.shape[1]/100*scale_percentage) + # print("X_scale:", x_scale) + # print("Y_scale:", y_scale) + + # Detecteer markers + small_img = cv2.resize(img, (x_scale, y_scale)) (corners, ids, rejected) = detector.detectMarkers(small_img) new_image = cv2.aruco.drawDetectedMarkers( small_img, corners, ids) - # Debug - for id in ids: - print(id) - print(corners[id[0]]) - print() + assert len(ids) == 4, "Not enough markers found" + # Zoek de "binneste" hoekjes i = 0 x = np.zeros(4, dtype=np.int32) y = np.zeros(4, dtype=np.int32) for corner in corners: - # print(ids[i]) - # print(corner[0]) - # print() - x[i] = corner[0][getCorner(ids[i])][0] y[i] = corner[0][getCorner(ids[i])][1] cv2.circle( @@ -69,23 +74,43 @@ for file in os.listdir(input_folder): radius=5, color=(255, 100, 255), thickness=-1) - print("x[%d]: %d"%(i, x[i])) print("y[%d]: %d"%(i, y[i])) print() i += 1 - offset = 20 + # Draai plaatje om 0 en 1 gelijk te trekken + x0 = x[np.where(ids == 0)[0][0]] + x1 = x[np.where(ids == 1)[0][0]] + x_dif = x0-x1 + + y0 = y[np.where(ids == 0)[0][0]] + y1 = y[np.where(ids == 1)[0][0]] + y_dif = y0 - y1 + + angle_error_rad = np.arctan(y_dif/x_dif) + angle_error_deg = angle_error_rad * 180.0 / m.pi + print("Hoek deg", angle_error_deg) + + # Calibreer afstand tov afstand tussen 0 en 1 + + + # Teken rode balken + + + # Crop + offset = 180 crop_img = new_image[ np.min(x+offset):np.max(x-offset), np.min(y+offset):np.max(y-offset) ] - print("imshape[0]: " + str(small_img.shape[0])) - print("imshape[1]: " + str(small_img.shape[1])) + # Check voor rode balken cv2.imshow('window', new_image) cv2.imshow('cropped', crop_img) + + # Keur af of sla op # cv2.imwrite(out_filename, new_image) -cv2.waitKey(0) + cv2.waitKey(0) cv2.destroyAllWindows \ No newline at end of file