我想传递用户在我的python函数views.py中选择的图像的url，因为我的python函数将处理用户选择的图像。这是我的HTML命令如何将点击我的html文件的图像url传递给view.py中的python函数Django
<html>
<head>
<link class="jsbin" href="http://ajax.googleapis.com/ajax/libs/jqueryui/1/themes/base/jquery-ui.css" rel="stylesheet" type="text/css" />
<script class="jsbin" src="http://ajax.googleapis.com/ajax/libs/jquery/1/jquery.min.js">script>
<script class="jsbin" src="http://ajax.googleapis.com/ajax/libs/jqueryui/1.8.0/jquery-ui.min.js">script>
<meta charset=utf-8 />
<title>JS Bintitle>
<style>
article, aside, figure, footer, header, hgroup,
menu, nav, section { display: block; }
style>
head>
<body>
<input type='file' onchange="readURL(this);" />
<img id="blah" src="#" alt="your image" />
<script>
function readURL(input) {
if (input.files && input.files[0]) {
var reader = new FileReader();
reader.onload = function (e) {
$('#blah')
.attr('src', e.target.result)
.width(150)
.height(200);
};
reader.readAsDataURL(input.files[0]);
}
}
script>
body>
html>
这里是一个由用户选择必须在cv2.imread（）我怎样才能做到这一点对我的蟒蛇
def predict():
img = cv2.imread('C:/Users/HABITUS/Desktop/arvin files/download.jpg') #the url of the image selected must be here!!
img = cv2.resize(img, (600, 600))
enhancer = Image.fromarray(img)
enhancer = ImageEnhance.Contrast(enhancer)
enhanced = enhancer.enhance(1.5)
enhancer1 = ImageEnhance.Brightness(enhanced).enhance(1.3)
convert = scipy.misc.fromimage(enhancer1)
imgM = cv2.medianBlur(convert, 5)
# blurring and smoothening
kernel = np.ones((5, 5), np.uint8)
erosion = cv2.erode(imgM, kernel, iterations=1)
dilation = cv2.dilate(erosion, kernel, iterations=1)
blur = cv2.GaussianBlur(convert, (15, 15), 10)
grayscaled = cv2.cvtColor(imgM, cv2.COLOR_BGR2GRAY)
retval2, threshold2 = cv2.threshold(grayscaled, 200, 1, cv2.THRESH_BINARY_INV)
gaus = cv2.adaptiveThreshold(grayscaled, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 115, 1)
retval2, otsu = cv2.threshold(grayscaled, 140, 250, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
backtorgb = cv2.cvtColor(threshold2, cv2.COLOR_GRAY2RGB)
mult = cv2.multiply(img, backtorgb)
edges = cv2.Canny(threshold2, 120, 50)
图像的功能？任何意见或帮助将不胜感激
这家伙很懒，还没有设置简介
