def url_jpg_contours(url):
position = 100
filedata = urllib2.urlopen(url).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
im = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
col_edge = cv.CreateImage((im.width, im.height), 8, 3)
# convert to grayscale
gray_im = cv.CreateImage((im.width, im.height), 8, 1)
edge_im = cv.CreateImage((im.width, im.height), 8, 1)
cv.CvtColor(im, gray_im, cv.CV_BGR2GRAY)
cv.Canny(gray_im, edge_im, position, position * 3, 3)
cv.SetZero(col_edge)
# copy edge points
cv.Copy(im, col_edge, edge_im)
edge_im_array = np.asarray(edge_im[:])
ret, edge_im_array = cv2.threshold(edge_im_array, 127, 255,
cv2.THRESH_BINARY)
contours, hierarchy = cv2.findContours(edge_im_array, cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
scale = 10000.0
points = []
for contour in contours:
for i in contour:
for j in i:
lng_offset = j[0] / scale
lat_offset = j[1] / scale
points.append([lng_offset, lat_offset])
return points
def load_sample(name=None):
if len(argv) > 1:
img0 = cv.LoadImage(argv[1], cv.CV_LOAD_IMAGE_COLOR)
elif name is not None:
try:
img0 = cv.LoadImage(name, cv.CV_LOAD_IMAGE_COLOR)
except IOError:
urlbase = 'http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/c/'
file = name.split('/')[-1]
filedata = urllib2.urlopen(urlbase + file).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
img0 = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
return img0
def load_sample(name=None):
if len(argv) > 1:
img0 = cv.LoadImage(argv[1], cv.CV_LOAD_IMAGE_COLOR)
elif name is not None:
try:
img0 = cv.LoadImage(name, cv.CV_LOAD_IMAGE_COLOR)
except IOError:
urlbase = 'https://raw.github.com/Itseez/opencv/master/samples/c/'
file = name.split('/')[-1]
filedata = urllib2.urlopen(urlbase + file).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
img0 = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
return img0
def mp_icon(filename):
'''load an icon from the data directory'''
# we have to jump through a lot of hoops to get an OpenCV image
# when we may be in a package zip file
try:
import pkg_resources
raw = pkg_resources.resource_stream(__name__,
"data/%s" % filename).read()
except Exception:
raw = open(os.path.join(__file__, 'data', filename)).read()
imagefiledata = cv.CreateMatHeader(1, len(raw), cv.CV_8UC1)
cv.SetData(imagefiledata, raw, len(raw))
img = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
return img
def convert_tif_to_png(self, buffer):
if not cv:
msg = """[PILEngine] convert_tif_to_png failed: opencv not imported"""
logger.error(msg)
return buffer
# can not use cv2 here, because ubuntu precise shipped with python-opencv 2.3 which has bug with imencode
# requires 3rd parameter buf which could not be created in python. Could be replaced with these lines:
# img = cv2.imdecode(numpy.fromstring(buffer, dtype='uint16'), -1)
# buffer = cv2.imencode('.png', img)[1].tostring()
mat_data = cv.CreateMatHeader(1, len(buffer), cv.CV_8UC1)
cv.SetData(mat_data, buffer, len(buffer))
img = cv.DecodeImage(mat_data, -1)
buffer = cv.EncodeImage(".png", img).tostring()
mime = self.get_mimetype(buffer)
self.extension = EXTENSION.get(mime, '.jpg')
return buffer
def __showPic(self):
try:
import cv2.cv as cv
except:
return "Need OpenCV"
content = urllib2.urlopen(
"http://www.renren.com/validateuser.do").read()
place = content.find("http://icode.renren.com/getcode.do?t=ninki&rnd=")
place2 = content.find("\"/>", place)
content = content[place:place2]
filedata = urllib2.urlopen(content).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
img0 = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
cv.ShowImage("captchas", img0)
cv.WaitKey()
captchas = raw_input("Please enter the captchas:")
cv.DestroyAllWindows()
postdata = urllib.urlencode({"id": self.__id, "icode": captchas})
req = urllib2.Request(url="http://www.renren.com/validateuser.do",
data=postdata)
content = urllib2.urlopen(req).read()
dst, src2, (x, y), 40, cv.CV_INTER_LINEAR +
cv.CV_WARP_FILL_OUTLIERS + cv.CV_WARP_INVERSE_MAP)
cv.ShowImage("log-polar", dst)
cv.ShowImage("inverse log-polar", src2)
if __name__ == "__main__":
if len(sys.argv) > 1:
src = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
else:
url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
filedata = urllib2.urlopen(url).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
src = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
cv.NamedWindow("original", 1)
cv.NamedWindow("log-polar", 1)
cv.NamedWindow("inverse log-polar", 1)
dst = cv.CreateImage((256, 256), 8, 3)
src2 = cv.CreateImage(cv.GetSize(src), 8, 3)
cv.SetMouseCallback("original", on_mouse)
on_mouse(cv.CV_EVENT_LBUTTONDOWN, src.width / 2, src.height / 2, None,
None)
cv.ShowImage("original", src)
cv.WaitKey()
cv.Ellipse(image04, center, size, angle, 0, 360, color, 2,
cv.CV_AA, 0)
# Show image. HighGUI use.
cv.ShowImage("Result", image04)
if __name__ == '__main__':
if len(sys.argv) > 1:
source_image = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_GRAYSCALE)
else:
url = 'https://raw.github.com/opencv/opencv/master/samples/c/stuff.jpg'
filedata = urllib2.urlopen(url).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
source_image = cv.DecodeImage(imagefiledata,
cv.CV_LOAD_IMAGE_GRAYSCALE)
# Create windows.
cv.NamedWindow("Source", 1)
cv.NamedWindow("Result", 1)
# Show the image.
cv.ShowImage("Source", source_image)
fe = FitEllipse(source_image, 70)
print "Press any key to exit"
cv.WaitKey(0)
cv.DestroyWindow("Source")
cv.DestroyWindow("Result")
def url_jpg_contours():
url = 'http://i12.tietuku.com/05ef0b29030fa46c.jpg'
filedata = urllib2.urlopen(url).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
print imagefiledata #<cvmat(type=42424000 8UC1 rows=1 cols=48230 step=48230 )>
cv.SetData(imagefiledata, filedata, len(filedata))
im = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
col_edge = cv.CreateImage((im.width, im.height), 8, 3)
# convert to grayscale
gray_im = cv.CreateImage((im.width, im.height), 8, 1)
edge_im = cv.CreateImage((im.width, im.height), 8, 1)
cv.CvtColor(im, gray_im, cv.CV_BGR2GRAY)
cv.Canny(gray_im, edge_im, position, position * 3, 3)
cv.SetZero(col_edge)
# copy edge points
cv.Copy(im, col_edge, edge_im)
#ret, edge_jpg = cv2.imencode('.jpg', edge_im, [int(cv.CV_IMWRITE_JPEG_QUALITY), 80])
edge_im_array = np.asarray(edge_im[:])
print type(edge_im_array)
#edge_jpg_gray = cv2.cvtColor(edge_im_array,cv2.COLOR_BGR2GRAY)
ret, edge_im_array = cv2.threshold(edge_im_array, 127, 255,
cv2.THRESH_BINARY)
print type(edge_im_array)
contours, hierarchy = cv2.findContours(
edge_im_array, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
) #压缩水平方向，垂直方向，对角线方向的元素，只保留该方向的终点坐标，例如一个矩形轮廓只需4个点来保存轮廓信息
contours_img = cv2.cvtColor(edge_im_array, cv2.COLOR_GRAY2BGR)
url_str_len_contours = str(len(contours)) #取轮廊数量
str_len_contours = str(len(contours)) #取轮廊数量
#数据处理
first_contours = contours[0] #第一条轨迹坐标集合，数据格式为numpy.ndarry
first_contours_list = first_contours.tolist()
#print contours #输出所有轨迹坐标集合
#print contours[-1] #输出最后一条轨迹坐标，数据格式为numpy.ndarry
#print contours[0][0].tolist()[0] #输出第一条轨迹起始点坐标[[375 241]]并转化成list格式[[375，241]] |**.tolist()[0] 可以省掉一个中括号输出[375，241]
#print contours[0][0].tolist()[0][0] #输出第一条轨迹起始点坐标的X坐标值。
#print contours[0][0].tolist()[0][1] #输出第一条轨迹起始点坐标的Y坐标值。
#print [i[0][0] for i in contours]
#print [i[0][0] for i in contours[0]]
scale = 1 #不缩放
contours_img = cv2.resize(contours_img, (0, 0), fx=scale, fy=scale)
print "Url_jpg_contours_num:%s" % url_str_len_contours
for cnt in contours:
color = np.random.randint(0, 255, (3)).tolist()
cv2.drawContours(contours_img, [cnt * scale], 0, color, 1)
cv2.imshow("URL_canny_img", edge_im_array)
cv2.imshow("URL_contours_img", contours_img)
#轮廊清单转文本输出
edge_im_array_pix = str(np.size(edge_im_array))
contours_img_pix = str(np.size(contours_img))
ss = open("Contours" + ".log", 'w')
ss.write("edge_im_array_pix nums:" + "%s" % edge_im_array_pix + "\n")
ss.write("contours_img_pix nums:" + "%s" % contours_img_pix + "\n")
ss.write("_url_contours num:" + "%s" % str_len_contours + "\n")
for ele in contours:
ss.write("%s" % ele)
ss.write("**" * 50 + "\n")
ss.close()
#return contours
cv2.waitKey(0)