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import seetaface

import cv2

root = 'example2.jpg'

image = seetaface.SeetaImage(root)

pd = seetaface.PointDetector('/home/tumh/python-seetaface2/SeetaPointDetector2.0.pts5.ats')

# given a boudning box

rect = seetaface.SeetaRect()

rect.x = 221

rect.y = 130

rect.width = 232

rect.height = 278

im = cv2.imread(root)

cv2.rectangle(im, (rect.x, rect.y), (rect.x + rect.width, rect.y + rect.height), (0,0,255), 2)

points = pd.detect(image, rect)

for p in points:

cv2.circle(im, (int(p.x), int(p.y)), 2, (0,0,255), -1)

cv2.imwrite('example2_result.jpg', im)