aircv

import aircv as ac
imsrc = ac.imread('youimage.png') # 原始图像
imsch = ac.imread('searched.png') # 带查找的部分

print ac.find_sift(imsrc, imsch)
# - when Not found
@return None 
# 之前是返回的 []

# - when found
@return {'point': (203, 245), 'rectangle': [(160, 24), (161, 66), (270, 66), (269, 24)], 'confidence': 0.09}
# point: 查找到的点
# rectangle： 目标图像周围四个点的坐标
# confidence: 查找图片匹配成功的特征点 除以 总的特征点

print ac.find_all_sift(imsrc, imsch, maxcnt = 0)
# - when not found
@return []
# - when found
@return [{..}, {..}]
# {..}的内容跟SIFT查找到单个图像的格式一样

print ac.find_template(imsrc, imsch)

(294, 13), 0.9715

print ac.find_all_template(imsrc, imsch)

[((294, 13), 0.9715), ...]

import aircv

imsrc = aircv.Image('demo.png')
imobj = aircv.Image('object.png')

print imsrc.find(imobj, method=aircv.FIND_TMPL) # or method=aircv.FIND_SIFT
# expect aircv.Position(x=10, y=20, extra={'method': aircv.FIND\_TMPL, 'result': 0.98})

print imobj.find_in(imsrc, method=aircv.FIND_TMPL)
# expect aircv.Position(x=10, y=20)

rect = aircv.Rect(left=80, top=10, width=50, height=90)
# Rect define: Rect(left=0, top=0, right=None, bottom=None, width='100%', height='100%')
pos = imsrc.find(imobj, rect=rect, method=aircv.FIND_TMPL)
print pos
# expect aircv.Position(x=10, y=20)

print imsrc.draw_point(pos) # .draw_point(pos2)
# expect aircv.Image object

print imsrc.draw_rectangle(aircv.Rect(left=80))
# expect aircv.Image object

print imsrc.draw_circle(??)

print imsrc.cv_object
# expect numpy object

imsrc.save('source.png')
# An Exception raised when file exists

print imsrc.rect() == imobj.rect()
# expect True or False

print imsrc.percent(imobj)