def main():
#imgsrc = cv2.imread("D:/PCP/04ad16730a0-b/04ad16730a0-b-ng/04ad16730a0-b-2.jpg")
imgsrc = cv2.imread("C:/Users/lenovo/Pictures/Saved Pictures/part1.jpg")
imgsrc2 = cv2.imread("C:/Users/lenovo/Pictures/Saved Pictures/part2.jpg")
#imgobj = cv2.imread("C:/Users/lenovo/Desktop/train_data/A1/04ad16730a0-b-30.jpg")
imgobj = cv2.imread(
"C:/Users/lenovo/Pictures/Saved Pictures/04ad16730a0-b-1 (4).jpg")
size = imgsrc.shape
h = size[0]
w = size[1]
scale = 480 / h
th, tw = h * scale, w * scale
pos_list = ac.find_all_template(imgsrc, imgobj)
pos_list2 = ac.find_all_template(imgsrc2, imgobj)
print(pos_list)
print(pos_list2)
color = (0, 255, 0)
line_width = 10
for pos in pos_list:
conf = pos['confidence']
pos = pos['result']
if conf < 0.9:
continue
draw_rectangle(imgsrc, pos, imgobj.shape[0], imgobj.shape[1], color,
line_width)
cv2.namedWindow("Detection", 0)
cv2.resizeWindow("Detection", int(tw), int(th))
cv2.imshow('Detection', imgsrc)
cv2.waitKey(0)
def tmpl_test():
t1 = ac.imread("testdata/2s.png")
t2 = ac.imread("testdata/2t.png")
import time
start = time.time()
print ac.find_all_template(t1, t2)
print time.time() - start
def tmpl_test():
t1 = ac.imread("testdata/2s.png")
t2 = ac.imread("testdata/2t.png")
import time
start = time.time()
print ac.find_all_template(t1, t2)
print 'Time used:', time.time() - start
def check_pic_xyz(str_check_file,
str_base_file,
var_find=None,
num_resolution_x=None,
num_resolution_y=None,
num_confidence=0.9,
num_base_x=0,
num_base_y=0):
# base是大图,check是小图,能找到图片的完整路径
obj_base = aircv.imread(str_base_file)
#obj_base = aircv.imread(str_base_file)
obj_check = aircv.imread(str_check_file)
# 分辨率x,y
if num_resolution_x:
num_use_x = int(int(num_resolution_x) / obj_base.shape[1])
else:
num_use_x = 1
if num_resolution_y:
num_use_y = int(int(num_resolution_y) / obj_base.shape[0])
else:
num_use_y = 1
list_tmp = list()
# 最后得到的坐标x,y和识别准确率
var_out = None
# 如果存在多个可以设置使用第几个匹配到的
try:
if var_find:
if var_find != "all":
var_tmp = aircv.find_all_template(
obj_base, obj_check, float(num_confidence))[int(var_find)]
else:
var_tmp = aircv.find_all_template(obj_base, obj_check,
float(num_confidence))
else:
var_tmp = aircv.find_template(obj_base, obj_check,
float(num_confidence))
if var_tmp:
if type(var_tmp) == dict:
list_tmp.append(var_tmp)
else:
list_tmp = var_tmp
list_out = list()
for dict_value in list_tmp:
# num_base_x,num_base_y是基础偏移,默认不偏移
list_out.append([
int(num_base_x + dict_value["result"][0] * num_use_x),
int(num_use_y + dict_value["result"][1] * num_use_y),
dict_value["confidence"]
])
if len(list_out) == 1:
var_out = list_out[0]
else:
var_out = list_out
return var_out
except Exception as e:
print(e)
return 0
def _parse_images(self, target, index=1, parse_type='num'):
"""[get the N-th image's coordinate] OR [the sum of the image]
:param target: the target image that should be clicked
:param index: select the N-th element; 0 -> the last one
:return: the target Element's location:<x,y>
"""
self._prepare()
index = int(index)
if self.img_path:
target = os.path.join(self.img_path, target)
else:
self._info("[>>>] img path not set")
im_source = ac.imread(self._screen.decode('utf-8').encode('gbk'))
im_search = ac.imread(target.decode('utf-8').encode('gbk'))
result = ac.find_all_template(im_source, im_search, self.TH)
if 'num' in parse_type:
return len(result)
elif 'location' in parse_type:
if index == 0:
index = len(result) - 1
else:
index -= 1
re = result[index]
self._info(re)
return re['result'][0], re['result'][1]
def check_circle(circle_path, threshold):
print(print_name(circle_path))
i = 0
while i < 60:
i += 1
screenshot.window_capture(const.Const.screen_path)
try:
mainScreen = ac.imread(const.Const.screen_path)
circleScreen = ac.imread(circle_path)
template = ac.find_all_template(mainScreen,
circleScreen,
rgb=True,
threshold=threshold,
bgremove=True)
if template is None or len(template) <= 0:
continue
else:
sort_template = sorted(template, key=lambda x: x["result"])
for t in sort_template:
# print(t['rectangle'][1])
win32api.SetCursorPos(
(int(t['result'][0]), int(t['result'][1])))
# win32api.SetCursorPos((int(t['rectangle'][1][0]), int(t['rectangle'][1][1])))
time.sleep(0.5)
time.sleep(1)
break
except:
pass
time.sleep(config.conf.screenshot_main_time)
else:
print(print_name(circle_path) + ",没有识别出来")
def pic_locate(pic_match,pic_origin,thresh,findall=True,rgb_bool=True): #pic_match is the dir path, pic_origin is the data array
"""
:param pic_match: 源图像路径或图像数组
:param pic_origin: 背景图像，ndarray
:param thresh: 阈值，数值
:param findall: true 为寻找全部匹配图像，false为只返回一个
:param rgb_bool: true为匹配颜色，false为不匹配颜色
:return:
"""
if(isinstance(pic_match,str)): #若为路径，则根据当前分辨率动态调整实际对比图像
pic_test = Image.open(pic_match,'r')
resolution = globalvar.get_window_resolution()
max_resolution = globalvar.get_max_resolution()
width = int(resolution[0] / max_resolution[0] * pic_test.size[0])
height = int(resolution[1] / max_resolution[1] * pic_test.size[1])
pic_test = np.array(pic_test.resize((width, height), Image.ANTIALIAS))
elif(isinstance(pic_match,np.ndarray)):
pic_test = pic_match
if findall:
position = aircv.find_all_template(pic_origin,pic_test,thresh,rgb=rgb_bool)
else:
position = aircv.find_template(pic_origin, pic_test, thresh,rgb=rgb_bool)
# C = np.fft.ifft2(np.fft.fft2(pic_origin)*fftpack.fft2(pic_match_path,(888,1435,3)))
return position
def find_elements(self,
comment,
timeout,
threshold=0.9,
rect=(0, 25, 480, 800)):
ret = []
img_obj = ac.imread(self._work_path + '\\Controller\\' +
self._PIC_PATH[comment])
self.get_capture()
while timeout > 0:
pos_list = ac.find_all_template(self._capture_obj,
img_obj,
threshold=threshold)
for pos in pos_list:
(x, y) = pos['result']
ret.append((int(x), int(y)))
if len(ret) > 0:
self._log('<<info>> 匹配到：' + comment, str(len(ret)) + '个')
break
else:
time.sleep(1)
timeout -= 1
self.get_capture()
self._log('<<info>> 未匹配：', comment + ' ' + str(timeout) + 's')
return len(ret) > 0, ret
def tmpl_test():
t1 = ac.imread("tests/testdata/2s.png")
t2 = ac.imread("tests/testdata/2t.png")
import time
start = time.time()
print((ac.find_all_template(t1, t2)))
print(('Time used:', time.time() - start))
def get_coordinates_by_image_identify(self,
search_img,
source_img,
get_rect=False):
"""
通过图像识别来查找全部符合条件的待查找图片的坐标
:param search_img: 待查找图片的路径
:param source_img: 原始图片的路径
:param get_rect: 是否返回待查找图片的四角坐标 (左上, 左下, 右上, 右下)
:return:
所有符合条件的图片坐标列表
例如：
get_rect=False -> [(960.5, 243.5), (960.5, 243.5),...]
get_rect=True -> [{'center': (x,y), 'rectangle': ((x,y),(x,y),(x,y),(x,y))}, ...]）
"""
try:
source = ac.imread(source_img) # 原始图像
search = ac.imread(search_img) # 待查找的部分
positions = ac.find_all_template(source, search)
cor = []
if positions is not None:
for position in positions:
x, y = position['result']
rect = position['rectangle']
if get_rect:
cor.append({'center': (x, y), 'rectangle': rect})
else:
cor.append((x, y))
else:
raise Exception("Cannot find the images that you provided.")
return cor
except Exception as msg:
raise Exception(msg)
def _parse_images(self, target, index=1, parse_type='num'):
"""[get the N-th image's coordinate] OR [the sum of the image]
:param target: the target image that should be clicked
:param index: select the N-th element; 0 -> the last one
:return: the target Element's location:<x,y>
"""
self._prepare()
index = int(index)
if self.img_path:
target = os.path.join(self.img_path, target)
else:
self._mobilelib._info("[>>>] img path not set")
im_source = ac.imread(self._screen.decode('utf-8').encode('gbk'))
im_search = ac.imread(target.decode('utf-8').encode('gbk'))
result = ac.find_all_template(im_source, im_search, self.TH)
if 'num' in parse_type:
return len(result)
elif 'location' in parse_type:
result = sorted(result,
key=lambda x: (x['result'][1], x['result'][0]))
if index == 0:
index = len(result) - 1
else:
index -= 1
re = result[index]
self._mobilelib._info(re)
if self._mobilelib._is_android():
return re['result'][0], re['result'][1]
if self._mobilelib._is_ios():
_scale = self.scale()
return re['result'][0] / _scale, re['result'][1] / _scale
def _parse_image_in(self, parent_image, sub_image, phase_type='click'):
print 'Here is sub search img'
self._prepare()
if self.img_path:
parent_image = os.path.join(self.img_path, parent_image)
sub_image = os.path.join(self.img_path, sub_image)
else:
self._info("[>>>] img path not set")
im_source = ac.imread(self._screen.decode('utf-8').encode('gbk'))
im_parent = ac.imread(parent_image.decode('utf-8').encode('gbk'))
im_sub = ac.imread(sub_image.decode('utf-8').encode('gbk'))
intermediate = ac.find_template(im_source, im_parent, self.TH)
in_rect = intermediate['rectangle']
result = ac.find_all_template(im_source, im_sub, self.TH)
for i in range(0, len(result), 1):
result_rect = result[i]['rectangle']
# only cmp left-top && right-down 's coordinate
# rectangle[0~1]: left-top,left-down
# rectangle[2~3]: right-top,right-down
if self._coordinate_cmp(result_rect[0], in_rect[0]): # left-top
if self._coordinate_cmp(in_rect[3], result_rect[3]): # right-down
try:
if 'click' in phase_type:
self.click_a_point(result[i]['result'][0], result[i]['result'][1])
elif 'coordinate' in phase_type:
return result[i]['result'][0], result[i]['result'][1]
except Exception, e:
print '[xxx]: %s ' % traceback.format_exc()
def _image_click(self, target, index=1):
"""
:param target: the target image that should be clicked
:param index: select the N-th element
:return: match info
"""
index = int(index)
self._prepare()
if self.img_path:
target = os.path.join(self.img_path, target)
else:
self._mobilelib._info("[>>>] img path not set")
im_source = ac.imread(self._screen.decode('utf-8').encode('gbk'))
im_search = ac.imread(target.decode('utf-8').encode('gbk'))
result = ac.find_all_template(im_source, im_search, self.TH)
result = sorted(result, key=lambda x: (x['result'][1], x['result'][0]))
if index == 0:
index = len(result) - 1
else:
index -= 1
re = result[index]
self._mobilelib._info(re)
if self._mobilelib._is_android():
self._mobilelib.click_a_point(re['result'][0], re['result'][1])
if self._mobilelib._is_ios():
_scale = self.scale()
self._mobilelib.click_a_point(re['result'][0] / _scale,
re['result'][1] / _scale)
return re
def _image_click(self, target, index=1):
"""
:param target: the target image that should be clicked
:param index: select the N-th element
:return: match info
"""
index = int(index)
self._prepare()
if self.img_path:
target = os.path.join(self.img_path, target)
else:
self._mobilelib._info("[>>>] img path not set")
im_source = ac.imread(self._screen.decode('utf-8').encode('gbk'))
im_search = ac.imread(target.decode('utf-8').encode('gbk'))
result = ac.find_all_template(im_source, im_search, self.TH)
result = sorted(result, key=lambda x: (x['result'][1], x['result'][0]))
if index == 0:
index = len(result) - 1
else:
index -= 1
re = result[index]
self._mobilelib._info(re)
if self._mobilelib._is_android():
self._mobilelib.click_a_point(re['result'][0], re['result'][1])
if self._mobilelib._is_ios():
_scale = self.scale()
self._mobilelib.click_a_point(re['result'][0]/_scale, re['result'][1]/_scale)
return re
def find_pic(source, tmp):
res = aircv.find_all_template(source, tmp)
r = []
for dic in res:
if dic['confidence'] < 0.9:
continue
r.append([int(x) for x in dic['result']])
return r
def find_all_img_in_img(src_img_path, target_img_path, accuracy):
src_img = cv2.imdecode(np.fromfile(src_img_path, dtype=np.uint8), -1)
target_img = cv2.imdecode(np.fromfile(target_img_path, dtype=np.uint8),
-1)
pos = ac.find_all_template(src_img, target_img, accuracy)
if pos is None:
return -1
return len(pos)
def findImg(obj,find,all="false"):
imgobj = ac.imread(obj)
imgfind = ac.imread(find)
if(all == "true"):
result = ac.find_all_template(imgobj, imgfind, 0.9)
else:
result = ac.find_template(imgobj, imgfind, 0.9)
return result
def get_deal_locations_picture(self, filename, mubiao_file,num=0.5):
imsrc = ac.imread(mubiao_file)
imobj = ac.imread(filename)
pos = ac.find_all_template(imsrc, imobj, num)
if pos == None:
return 0
else:
return pos
def matchImg_all(w, imgsrc, imgobj, confidencevalue=0.75): # imgsrc=原始图像，imgobj=待查找的图片
imsrc = ac.imread(imgsrc)
imobj = ac.imread(imgobj)
if imsrc.shape[0] != w.template_height and imsrc.shape[1] != w.template_width:
size = (int(imobj.shape[1] * imsrc.shape[1] / w.template_width),
int(imobj.shape[0] * imsrc.shape[0] / w.template_height))
imobj = cv.resize(imobj, size, interpolation=cv.INTER_AREA)
match_result = ac.find_all_template(imsrc, imobj, confidencevalue)
return match_result
def find_all_template(imgsrc,imgobj,confidence=0.9):#imgsrc=原始图像，imgobj=待查找的图片
imsrc = ac.imread(imgsrc)
imobj = ac.imread(imgobj)
match_result = ac.find_all_template(imsrc,imobj,confidence) # {'confidence': 0.5435812473297119, 'rectangle': ((394, 384), (394, 416), (450, 384), (450, 416)), 'result': (422.0, 400.0)}
# if match_result is not None:
# match_result['shape']=(imsrc.shape[1],imsrc.shape[0])#0为高，1为宽
return match_result
def find_all_template(cls, image_current, image_template, min_confidence):
match_results = ac.find_all_template(image_current, image_template,
min_confidence)
if match_results is None:
return None
res_list = []
for match_result in match_results:
res = cls._change_result(match_result)
res_list.append(res)
return res_list
def match_all(self, pattern):
"""
Test method, not suggested to use
"""
pattern = self.pattern_open(pattern)
search_img = pattern.image
screen = self.region_screenshot()
screen = imutils.from_pillow(screen)
points = ac.find_all_template(screen, search_img, maxcnt=10)
return points
def matchImg(imgobj, confidence=0.5, quzhi='result'): #传入小图、相似度、取值，返回小图所在屏幕的坐标
'''取值分别为result【中心点坐标】，rectangle【四角坐标】，confidence【相似度】'''
imobj = cv2.imdecode(numpy.fromfile(imgobj, dtype=numpy.uint8),
-1) #解决imread不能读取中文路径的问题
imgsrc = 'pm001.jpg'
window_capture(imgsrc) #截屏
imsrc = cv2.imdecode(numpy.fromfile(imgsrc, dtype=numpy.uint8),
-1) #解决imread不能读取中文路径的问题
match_result = aircv.find_all_template(imsrc, imobj, confidence)
if match_result: return [i[quzhi] for i in match_result]
else: return False # ;print('%s查找失败'% imgobj[:-4])
def find_all_image_position(origin='origin.png',
query='query.png',
confidence=0.9):
imsrc = ac.imread(origin) # 原始图像
imsch = ac.imread(query) # 带查找的部分
posArray = ac.find_all_template(imsrc, imsch)
t = []
for pos in posArray:
if pos['confidence'] > confidence:
t.append(pos['result'])
return t
def get_locations_picture(self, filename, num=0.5, cut_zone=None):
if cut_zone == None:
imsrc = ac.imread('D:\\dh2\\system\\0.png')
else:
imsrc = ac.imread('D:\\dh2\\system\\1.png')
imobj = ac.imread(filename)
# find the match position
pos = ac.find_all_template(imsrc, imobj, num)
if pos == None:
return 0
else:
return pos
def vertex_position(self):
# 计算数独数组所在大框的左上和右下角的坐标
im_ver = ac.imread('./pic/pad/ver.jpg')
im_lat = ac.imread('./pic/pad/lat.jpg')
lef_up_x = lef_up_y = right_down_x = right_down_y = 0
all_pos_ver = ac.find_all_template(self.im_all, im_ver, threshold=0.9)
for i in all_pos_ver:
# print(i['rectangle'])
lef_up_x = i['rectangle'][0][0]
right_down_x = i['rectangle'][3][0]
all_pos_lat = ac.find_all_template(self.im_all, im_lat, threshold=0.9)
for i in all_pos_lat:
# print(i['rectangle'])
lef_up_y = i['rectangle'][0][1]
right_down_y = i['rectangle'][3][1]
if lef_up_y and lef_up_x and right_down_y and right_down_x:
x1_y1 = (lef_up_x, lef_up_y)
x2_y2 = (right_down_x, right_down_y)
else:
print("没有获取左上角和右下角坐标")
print(lef_up_x, lef_up_y, right_down_x, right_down_y)
raise
return x1_y1, x2_y2
def match_all(self,
pattern,
screen=None,
rect=None,
offset=None,
threshold=None):
pattern = self.pattern_open(pattern)
search_img = pattern.image
pattern_scale = self._cal_scale(pattern)
if pattern_scale != 1.0:
search_img = cv2.resize(search_img, (0, 0),
fx=pattern_scale,
fy=pattern_scale,
interpolation=cv2.INTER_CUBIC)
screen = screen or self.region_screenshot()
threshold = threshold or pattern.threshold or self.image_match_threshold
# handle offset if percent, ex (0.2, 0.8)
dx, dy = offset or pattern.offset or (0, 0)
dx = pattern.image.shape[1] * dx # opencv object width
dy = pattern.image.shape[0] * dy # opencv object height
dx, dy = int(dx * pattern_scale), int(dy * pattern_scale)
# image match
screen = imutils.from_pillow(screen) # convert to opencv image
if rect and isinstance(rect, tuple) and len(rect) == 4:
(x0, y0, x1, y1) = [v * pattern_scale for v in rect]
(dx, dy) = dx + x0, dy + y0
screen = imutils.crop(screen, x0, y0, x1, y1)
# cv2.imwrite('cc.png', screen)
ret = None
confidence = None
position = None
position_list = []
ret_all = ac.find_all_template(screen, search_img, maxcnt=10)
if not ret_all:
return None
for ret in ret_all:
confidence = ret['confidence']
if confidence > threshold:
(x, y) = ret['result']
position = (x + dx, y + dy)
position_list.append(position)
return position_list
def find_all_imgs(self, part_name, accuracy=0.9):
if not self.hwnd or win32gui.IsIconic(self.hwnd): # 窗口不存在或最小化
return None
img = self.screen_shot()
img_mat = cv2.cvtColor(numpy.asarray(img), cv2.COLOR_RGB2BGR)
# img_mat = aircv.imread('screenshot.png')
matches = aircv.find_all_template(img_mat, self.imgs[part_name])
positions = []
for match in matches:
if match['confidence'] < accuracy:
continue
positions.append(match['result'])
# draw_circle(img_mat, positions, 60, (20, 200, 20), 3)
return positions
def get_attack_pos(pic, all_pos=False, pic_as_img=False):
im = pic if pic_as_img else ac.imread(pic)
im2 = ac.imread('standard/attack.png')
try:
if all_pos:
match_result = ac.find_all_template(im, im2, 0.95, 6)
if match_result:
return [x['result'] for x in match_result]
else:
match_result = ac.find_template(im, im2, 0.95)
if match_result:
return match_result['result']
except Exception as e:
print('get_attack_pos exception', e)
return
def find_image_position(self, origin='origin.png', query='query.png'):
imsrc = ac.imread(origin) # 原始图像
imsch = ac.imread(query) # 带查找的部分
posArray = ac.find_all_template(imsrc, imsch)
if len(posArray) == 0:
return None
t = posArray[0]
for pos in posArray:
if t == None:
t = pos
else:
if pos['confidence'] > t['confidence']:
t = pos
print 'find', t
return t
def get_photo_top_y(self, img_obj):
# 照片图框 152 * 152 or 128 * 128
img_border = ac.imread(self.border_path)
h, w, _ = img_border.shape
ret = ac.find_all_template(img_obj, img_border, threshold=0.5)
l = []
for r in ret:
(x, y) = r['result']
l.append(y)
if l:
ret = min(l)
else:
ret = -1
return ret
def tap_btn(self, btn, bmp=None, threshold=0.9, ignore_error=False):
if bmp is None:
path = self.screencap('btn_%s.png' % self.uid)
bmp = cv2.imread(path)
btn_pt = None
pts = aircv.find_all_template(bmp, btn, threshold=threshold)
if pts is not None and len(pts) > 0:
btn_pt = pts[0]['result']
elif ignore_error:
return None
else:
raise NoMatchException('could not match the button')
return self.tap(btn_pt)
def _parse_image_in(self, parent_image, sub_image, phase_type='click'):
print 'Here is sub search img'
self._prepare()
if self.img_path:
parent_image = os.path.join(self.img_path, parent_image)
sub_image = os.path.join(self.img_path, sub_image)
else:
self._mobilelib._info("[>>>] img path not set")
im_source = ac.imread(self._screen.decode('utf-8').encode('gbk'))
im_parent = ac.imread(parent_image.decode('utf-8').encode('gbk'))
im_sub = ac.imread(sub_image.decode('utf-8').encode('gbk'))
intermediate = ac.find_template(im_source, im_parent, self.TH)
in_rect = intermediate['rectangle']
result = ac.find_all_template(im_source, im_sub, self.TH)
for i in range(0, len(result), 1):
result_rect = result[i]['rectangle']
# only cmp left-top && right-down 's coordinate
# rectangle[0~1]: left-top,left-down
# rectangle[2~3]: right-top,right-down
if self._coordinate_cmp(result_rect[0], in_rect[0]): # left-top
if self._coordinate_cmp(in_rect[3],
result_rect[3]): # right-down
try:
if 'click' in phase_type:
if self._mobilelib._is_android():
self._mobilelib.click_a_point(
result[i]['result'][0],
result[i]['result'][1])
if self._mobilelib._is_ios():
_scale = self.scale()
self._mobilelib.click_a_point(
result[i]['result'][0] / _scale,
result[i]['result'][1] / _scale)
elif 'coordinate' in phase_type:
if self._mobilelib._is_android():
return result[i]['result'][0], result[i][
'result'][1]
if self._mobilelib._is_ios():
_scale = self.scale()
return result[i]['result'][0] / _scale, result[
i]['result'][1] / _scale
except Exception, e:
print '[xxx]: %s ' % traceback.format_exc()
def matchImg1(imgobj,
imgsrc,
confidence=0.5,
quzhi='result'): #传入小图、大图、相似度、取值，返回小图所在大图的坐标
'''取值分别为result【中心点坐标】，rectangle【四角坐标】，confidence【相似度】'''
## imdecode读取的是rgb，如果后续需要opencv处理的话，需要转换成bgr，转换后图片颜色会变化
##cv_img=cv2.cvtColor(cv_img,cv2.COLOR_RGB2BGR)
imobj = cv2.imdecode(numpy.fromfile(imgobj, dtype=numpy.uint8),
-1) #解决imread不能读取中文路径的问题
imsrc = cv2.imdecode(numpy.fromfile(imgsrc, dtype=numpy.uint8),
-1) #解决imread不能读取中文路径的问题
#imsrc = aircv.imread(imgsrc)#读取图像
#imobj = aircv.imread(imgobj)#读取图像
#match_result = aircv.find_template(imsrc,imobj,confidence)
match_result = aircv.find_all_template(imsrc, imobj, confidence)
#match_result[0]={'result': (1481.0, 856.0), 'rectangle': ((1459, 845), (1459, 867), (1503, 845), (1503, 867)), 'confidence': 0.6873950958251953}
if match_result: return [i[quzhi] for i in match_result]
else: return False #;print('%s查找失败'% imgobj[:-4])
def crop_check():
rget = flask.request.args.get
screen = rget('screen')
x, y = int(rget('x')), int(rget('y'))
width, height = int(rget('width')), int(rget('height'))
screen_file = screen.lstrip('/').replace('/', os.sep)
screen_path = os.path.join(utils.selfdir(), screen_file)
imsrc = cv2.imread(screen_path)
imsch = imsrc[y:y+height, x:x+width] # crop image
siftcnt = ac.sift_count(imsch)
tmpl = ac.find_all_template(imsrc, imsch)
sift = ac.find_all_sift(imsrc, imsch)
#match_result = 'template: %s\nsift: %s' % (str(tmpl), str(sift))
return flask.jsonify(dict(siftcnt=siftcnt,
result_template=str(tmpl), result_sift = str(sift)))
