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src/helpers/template_extraction/script.py
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@ -40,7 +40,7 @@ for file in os.listdir(input_folder):
filename = input_folder + '/' + file filename = input_folder + '/' + file
out_filename = output_folder + '/' + file out_filename = output_folder + '/' + file
img = cv2.imread(filename, 0) img = cv2.imread(filename, 0)
small_img = cv2.resize(img, (750, 750)) small_img = cv2.resize(img, (400, 400))
(corners, ids, rejected) = detector.detectMarkers(small_img) (corners, ids, rejected) = detector.detectMarkers(small_img)
new_image = cv2.aruco.drawDetectedMarkers( new_image = cv2.aruco.drawDetectedMarkers(
small_img, small_img,
@ -73,18 +73,12 @@ for file in os.listdir(input_folder):
print("x[%d]: %d"%(i, x[i])) print("x[%d]: %d"%(i, x[i]))
print("y[%d]: %d"%(i, y[i])) print("y[%d]: %d"%(i, y[i]))
print() print()
i += 1
offset = 20 i += 1
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[0]: " + str(small_img.shape[0]))
print("imshape[1]: " + str(small_img.shape[1])) print("imshape[1]: " + str(small_img.shape[1]))
cv2.imshow('window', new_image) cv2.imshow('window', new_image)
cv2.imshow('cropped', crop_img)
# cv2.imwrite(out_filename, new_image) # cv2.imwrite(out_filename, new_image)
cv2.waitKey(0) cv2.waitKey(0)