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import json
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import uuid
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import cv2
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import matplotlib.pyplot as plt
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import numpy as np
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from django.http import HttpResponse
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from django.shortcuts import render
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# Create your views here.
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from django.views.decorators.csrf import csrf_exempt
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PREFIX = 'media/'
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DEFAULT_FORMAT = '.jpg'
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SUPPORT_FILE_FORMAT = ['png', 'jpg', 'bmp', 'jpeg', 'jpe', 'dib', 'pbm', 'pgm', 'ppm', 'tiff', 'tif']
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# 获取uuid图片名
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def getImageName():
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return uuid.uuid1().__str__()
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# 保存图片，并判断是否为合适的扩展名
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def getImage(request):
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print(request.FILES)
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file = request.FILES.get('image')
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suffix = file.name[file.name.rfind('.') + 1:].lower()
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if suffix not in SUPPORT_FILE_FORMAT:
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return ''
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filename = getImageName() + '.' + suffix
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img = open(PREFIX + filename, 'wb+')
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for chunk in file.chunks():
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img.write(chunk)
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img.close()
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return filename
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# 接收图片，转发到getImage
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@csrf_exempt
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def upload(request):
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imageName = getImage(request)
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if imageName == '':
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return HttpResponse('Not supported image format')
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return HttpResponse(imageName)
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def process_bg():
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img = np.zeros((800, 800, 3), np.uint8)
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, img)
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return filename
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def process_line(para):
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name, start, end, color, thickness = para['img'], para['start'], para['end'], para['color'], para['thickness']
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img = cv2.imread(PREFIX + name)
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cv2.line(img, tuple(start), tuple(end), tuple(color), thickness)
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cv2.imwrite(PREFIX + name, img)
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return name
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def process_rectangle(para):
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name, start, end, color, thickness = para['img'], para['start'], para['end'], para['color'], para['thickness']
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img = cv2.imread(PREFIX + name)
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cv2.rectangle(img, tuple(start), tuple(end), tuple(color), thickness)
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cv2.imwrite(PREFIX + name, img)
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return name
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def process_circle(para):
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name, center, radius, color, thickness = para['img'], para['center'], para['radius'], para['color'], para[
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'thickness']
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img = cv2.imread(PREFIX + name)
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cv2.circle(img, tuple(center), radius, tuple(color), thickness)
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cv2.imwrite(PREFIX + name, img)
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return name
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def process_ellipse(para):
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name, center, axes, angle, startangle, endangle, color, thickness = para['img'], para['center'], para['axes'], para[
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'angle'], para['startangle'], para['endangle'], para['color'], para['thickness']
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img = cv2.imread(PREFIX + name)
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cv2.ellipse(img, tuple(center), tuple(axes), angle, startangle, endangle, tuple(color), thickness)
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cv2.imwrite(PREFIX + name, img)
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return name
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def process_polylines(para):
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name, point, isclosed, color = para['img'], para['point'], para['isclosed'], para['color']
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img = cv2.imread(PREFIX + name)
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pts = np.array(point, np.int32)
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pts = pts.reshape((-1, 1, 2))
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cv2.polylines(img, [pts], isclosed, tuple(color))
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cv2.imwrite(PREFIX + name, img)
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return name
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def process_text(para):
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name, text, org, fontsize, color = para['img'], para['text'], para['org'], para['fontsize'], para['color']
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img = cv2.imread(PREFIX + name)
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cv2.putText(img, text, org, fontFace=cv2.FONT_HERSHEY_SCRIPT_COMPLEX, fontScale=fontsize, color=tuple(color))
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cv2.imwrite(PREFIX + name, img)
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return name
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# 使用opencv 基本绘图
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@csrf_exempt
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def basic_drawing(request):
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if request.method == 'POST':
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para = json.loads(request.body)
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draw_type = para['type']
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if draw_type == 'bg':
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return HttpResponse(process_bg())
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else:
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if draw_type == 'line':
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return HttpResponse(process_line(para))
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elif draw_type == 'rectangle':
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return HttpResponse(process_rectangle(para))
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elif draw_type == 'circle':
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return HttpResponse(process_circle(para))
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elif draw_type == 'ellipse':
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return HttpResponse(process_ellipse(para))
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elif draw_type == 'polylines':
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return HttpResponse(process_polylines(para))
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elif draw_type == 'text':
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return HttpResponse(process_text(para))
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return HttpResponse('请使用POST方法')
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def process_filter_rgb(para, data):
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limit = para.get('limit', 100)
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c_range = para.get('range', [90, 230])
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if np.max(data) > limit:
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data = data * (255 / np.max(data))
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tmp = np.zeros_like(data)
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tmp[((data > c_range[0]) & (data <= c_range[1]))] = 255
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return tmp
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@csrf_exempt
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def rgb_color_space(request, color):
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if request.method == 'POST':
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para = json.loads(request.body)
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image_name = para['img']
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img = cv2.imread(PREFIX + image_name)
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data = None
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if color == 'r':
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data = img[:, :, 2]
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elif color == 'g':
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data = img[:, :, 1]
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elif color == 'b':
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data = img[:, :, 0]
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if para.get('filter', False):
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data = process_filter_rgb(para, data)
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filename = color + '-' + image_name
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cv2.imwrite(PREFIX + filename, data)
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return HttpResponse(filename)
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return HttpResponse('请使用POST方法')
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@csrf_exempt
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def hsv_color_space(request, color):
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if request.method == 'POST':
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para = json.loads(request.body)
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image_name = para['img']
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img = cv2.imread(PREFIX + image_name)
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hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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data = None
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if color == 'h':
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data = hsv[:, :, 0]
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elif color == 's':
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data = hsv[:, :, 1]
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elif color == 'v':
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data = hsv[:, :, 2]
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elif color == 'filter':
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upper_bound = para.get('ub', [0, 0, 0])
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lower_bound = para.get('lb', [200, 40, 100])
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data = cv2.inRange(hsv, np.array(upper_bound), np.array(lower_bound))
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filename = color + '-' + image_name
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cv2.imwrite(PREFIX + filename, data)
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return HttpResponse(filename)
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return HttpResponse('请使用POST方法')
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def logic_and(img, has_color, base):
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if base == 2:
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img[0], img[1] = img[1], img[0]
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img1 = cv2.imread(PREFIX + img[0], has_color)
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img2 = cv2.imread(PREFIX + img[1], has_color)
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rows, cols = img1.shape[:2]
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img2 = cv2.resize(img2, (cols, rows), interpolation=cv2.INTER_CUBIC)
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ret = img1 & img2
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, ret)
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return filename
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def logic_or(img, has_color, base):
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if base == 2:
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img[0], img[1] = img[1], img[0]
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img1 = cv2.imread(PREFIX + img[0], has_color)
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img2 = cv2.imread(PREFIX + img[1], has_color)
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rows, cols = img1.shape[:2]
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img2 = cv2.resize(img2, (cols, rows), interpolation=cv2.INTER_CUBIC)
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ret = img1 | img2
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, ret)
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return filename
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def logic_not(img, has_color, base):
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if base == 2:
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img[0], img[1] = img[1], img[0]
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image = cv2.imread(PREFIX + img[0], has_color)
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ret = ~image
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, ret)
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return filename
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def arithmetic_add(img, has_color, base):
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if base == 2:
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img[0], img[1] = img[1], img[0]
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img1 = cv2.imread(PREFIX + img[0], has_color)
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img2 = cv2.imread(PREFIX + img[1], has_color)
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rows, cols = img1.shape[:2]
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img2 = cv2.resize(img2, (cols, rows), interpolation=cv2.INTER_CUBIC)
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ret = cv2.add(img1, img2)
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, ret)
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return filename
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def arithmetic_sub(img, has_color, base):
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img1 = cv2.imread(PREFIX + img[0], has_color)
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img2 = cv2.imread(PREFIX + img[1], has_color)
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if base == 1:
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rows, cols = img1.shape[:2]
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img2 = cv2.resize(img2, (cols, rows), interpolation=cv2.INTER_CUBIC)
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elif base == 2:
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rows, cols = img2.shape[:2]
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img1 = cv2.resize(img1, (cols, rows), interpolation=cv2.INTER_CUBIC)
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ret = cv2.subtract(img1, img2)
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, ret)
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return filename
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def arithmetic_multi(img, has_color, base):
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if base == 2:
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img[0], img[1] = img[1], img[0]
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img1 = cv2.imread(PREFIX + img[0], has_color)
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img2 = cv2.imread(PREFIX + img[1], has_color)
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rows, cols = img1.shape[:2]
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img2 = cv2.resize(img2, (cols, rows), interpolation=cv2.INTER_CUBIC)
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ret = cv2.multiply(img1, img2)
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, ret)
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return filename
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def arithmetic_div(img, has_color, base):
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img1 = cv2.imread(PREFIX + img[0], has_color)
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img2 = cv2.imread(PREFIX + img[1], has_color)
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if base == 1:
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rows, cols = img1.shape[:2]
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img2 = cv2.resize(img2, (cols, rows), interpolation=cv2.INTER_CUBIC)
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elif base == 2:
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rows, cols = img2.shape[:2]
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img1 = cv2.resize(img1, (cols, rows), interpolation=cv2.INTER_CUBIC)
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ret = cv2.divide(img1, img2)
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, ret)
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return filename
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@csrf_exempt
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def basic_operation(request):
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if request.method == 'POST':
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para = json.loads(request.body)
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operator = para['operator']
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img = para['img']
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has_color = para['color']
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base = para['base']
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if operator == 'and':
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return HttpResponse(logic_and(img, has_color, base))
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elif operator == 'or':
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return HttpResponse(logic_or(img, has_color, base))
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elif operator == 'not':
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return HttpResponse(logic_not(img, has_color, base))
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elif operator == 'add':
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return HttpResponse(arithmetic_add(img, has_color, base))
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elif operator == 'sub':
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return HttpResponse(arithmetic_sub(img, has_color, base))
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elif operator == 'multi':
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return HttpResponse(arithmetic_multi(img, has_color, base))
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elif operator == 'div':
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return HttpResponse(arithmetic_div(img, has_color, base))
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return HttpResponse('请使用POST方法')
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@csrf_exempt
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def resize(request):
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if request.method == 'POST':
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para = json.loads(request.body)
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image = para['img']
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img = cv2.imread(PREFIX + image)
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size = para.get('size', None)
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if size is not None:
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width = img.shape[0]
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height = img.shape[1]
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interpolation = None
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if width * height >= size[0] * size[1]:
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interpolation = cv2.INTER_AREA
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else:
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interpolation = cv2.INTER_CUBIC
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img = cv2.resize(img, tuple(size), interpolation)
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else:
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multiple = para['multiple']
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if multiple < 1:
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interpolation = cv2.INTER_AREA
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else:
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interpolation = cv2.INTER_CUBIC
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img = cv2.resize(img, (0, 0), fx=multiple, fy=multiple, interpolation=interpolation)
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new_filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + new_filename, img)
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return HttpResponse(new_filename)
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return HttpResponse('请使用POST方法')
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def rotate_bound(image, angle):
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(h, w) = image.shape[:2]
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(cX, cY) = (w // 2, h // 2)
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M = cv2.getRotationMatrix2D((cX, cY), -angle, 1.0)
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cos = np.abs(M[0, 0])
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sin = np.abs(M[0, 1])
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nW = int((h * sin) + (w * cos))
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nH = int((h * cos) + (w * sin))
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M[0, 2] += (nW / 2) - cX
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M[1, 2] += (nH / 2) - cY
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return cv2.warpAffine(image, M, (nW, nH))
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@csrf_exempt
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def rotate(request):
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if request.method == 'POST':
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para = json.loads(request.body)
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image = para['img']
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img = cv2.imread(PREFIX + image)
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angle = para['angle']
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img = rotate_bound(img, angle)
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, img)
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return HttpResponse(filename)
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return HttpResponse('请使用POST方法')
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@csrf_exempt
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def translation(request):
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if request.method == 'POST':
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para = json.loads(request.body)
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image = para['img']
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img = cv2.imread(PREFIX + image)
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offset = para['offset']
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height, width = img.shape[:2]
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M = np.float32([[1, 0, offset[0]], [0, 1, offset[1]]])
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img = cv2.warpAffine(img, M, (width, height))
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, img)
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return HttpResponse(filename)
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return HttpResponse('请使用POST方法')
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@csrf_exempt
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def flip(request):
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if request.method == 'POST':
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para = json.loads(request.body)
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image = para['img']
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img = cv2.imread(PREFIX + image)
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flip_code = para.get('flip', 1)
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img = cv2.flip(img, flip_code)
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, img)
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return HttpResponse(filename)
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return HttpResponse('请使用POST方法')
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@csrf_exempt
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def affine(request):
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if request.method == 'POST':
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para = json.loads(request.body)
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image = para['img']
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img = cv2.imread(PREFIX + image)
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before = np.float32(para['before'])
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after = np.float32(para['after'])
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rows, cols = img.shape[:2]
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M = cv2.getAffineTransform(before, after)
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img = cv2.warpAffine(img, M, (rows, cols))
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filename = getImageName() + DEFAULT_FORMAT
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cv2.imwrite(PREFIX + filename, img)
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return HttpResponse(filename)
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return HttpResponse('请使用POST方法')
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def hist_cover_gray(img, fileName):
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plt.figure(fileName, figsize=(16, 8))
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hist = cv2.calcHist([img], [0], None, [256], [0, 255])
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plt.plot(hist)
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plt.xlim([0, 255])
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plt.savefig(fileName)
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def hist_cover_rgb(img, fileName):
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color = ["r", "g", "b"]
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b, g, r = cv2.split(img)
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img = cv2.merge([r, g, b])
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for index, c in enumerate(color):
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hist = cv2.calcHist([img], [index], None, [256], [0, 255])
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plt.plot(hist, color=c)
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plt.xlim([0, 255])
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plt.savefig(fileName)
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@csrf_exempt
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def histogram(request):
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if request.method == 'POST':
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para = json.loads(request.body)
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image = para['img']
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color = para['color']
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histogram_name = getImageName() + DEFAULT_FORMAT
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if color:
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img = cv2.imread(PREFIX + image)
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hist_cover_rgb(img, PREFIX + histogram_name)
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else:
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img = cv2.imread(PREFIX + image, 0)
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hist_cover_gray(img, PREFIX + histogram_name)
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return HttpResponse(histogram_name)
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return HttpResponse('请使用POST方法')
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def grayHist(img, filename):
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plt.figure(filename, figsize=(16, 8))
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h, w = img.shape[:2]
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pixelSequence = img.reshape(h * w, 1)
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numberBins = 256
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histogram, bins, patch = plt.hist(pixelSequence, numberBins)
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plt.xlabel("gray label")
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plt.ylabel("number of pixels")
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plt.axis([0, 255, 0, np.max(histogram)])
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# 打印输出峰值
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plt.savefig(filename)
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|
@csrf_exempt
|
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|
def piecewise_linear_transform(request):
|
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|
if request.method == 'POST':
|
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|
para = json.loads(request.body)
|
|
|
image = para['img']
|
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|
img = cv2.imread(PREFIX + image, 0)
|
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|
funcs = para['func']
|
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|
ret_name1 = getImageName() + DEFAULT_FORMAT
|
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|
ret_name2 = getImageName() + DEFAULT_FORMAT
|
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|
out_name = getImageName() + DEFAULT_FORMAT
|
|
|
h, w = img.shape[:2]
|
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|
out = np.zeros(img.shape, np.uint8)
|
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|
for i in range(h):
|
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|
for j in range(w):
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|
pix = img[i][j]
|
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|
last_limit = float("-inf")
|
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|
for func in funcs:
|
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|
limit = func['limit']
|
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|
k = func['k']
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|
b = func['b']
|
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|
if limit == -1:
|
|
|
if pix > last_limit:
|
|
|
out[i][j] = k * pix + b
|
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|
else:
|
|
|
if last_limit <= pix < limit:
|
|
|
out[i][j] = k * pix + b
|
|
|
last_limit = limit
|
|
|
out = np.around(out).astype(np.uint8)
|
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|
cv2.imwrite(PREFIX + out_name, out)
|
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|
grayHist(img, PREFIX + ret_name1)
|
|
|
grayHist(out, PREFIX + ret_name2)
|
|
|
return HttpResponse([{"orig": image, "hist": ret_name1}, {"orig": out_name, "hist": ret_name2}])
|
|
|
return HttpResponse('请使用POST方法')
|
|
|
|
|
|
@csrf_exempt
|
|
|
def edge_detection(request):
|
|
|
if request.method == 'POST':
|
|
|
para = json.loads(request.body)
|
|
|
image = para['img']
|
|
|
img = cv2.imread(PREFIX + image, 0)
|
|
|
operator = para['operator']
|
|
|
if operator == 'Roberts':
|
|
|
kernelx = np.array([[-1, 0], [0, 1]], dtype=int)
|
|
|
kernely = np.array([[0, -1], [1, 0]], dtype=int)
|
|
|
x = cv2.filter2D(img, cv2.CV_16S, kernelx)
|
|
|
y = cv2.filter2D(img, cv2.CV_16S, kernely)
|
|
|
absX = cv2.convertScaleAbs(x)
|
|
|
absY = cv2.convertScaleAbs(y)
|
|
|
img = cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
|
|
|
elif operator == 'Sobel':
|
|
|
x = cv2.Sobel(img, cv2.CV_16S, 1, 0)
|
|
|
y = cv2.Sobel(img, cv2.CV_16S, 0, 1)
|
|
|
absX = cv2.convertScaleAbs(x)
|
|
|
absY = cv2.convertScaleAbs(y)
|
|
|
img = cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
|
|
|
elif operator == 'Laplacian':
|
|
|
img_gaussianBlur = cv2.GaussianBlur(img, (5, 5), 0)
|
|
|
dst = cv2.Laplacian(img_gaussianBlur, cv2.CV_16S, ksize=3)
|
|
|
img = cv2.convertScaleAbs(dst)
|
|
|
elif operator == 'LoG':
|
|
|
grayImage = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
|
|
|
img = cv2.copyMakeBorder(grayImage, 2, 2, 2, 2, borderType=cv2.BORDER_REPLICATE)
|
|
|
img = cv2.GaussianBlur(img, (3, 3), 0, 0)
|
|
|
m1 = np.array(
|
|
|
[[0, 0, -1, 0, 0], [0, -1, -2, -1, 0], [-1, -2, 16, -2, -1], [0, -1, -2, -1, 0], [0, 0, -1, 0, 0]],
|
|
|
dtype=np.int32)
|
|
|
image1 = np.zeros(img.shape).astype(np.int32)
|
|
|
h, w, _ = img.shape
|
|
|
for i in range(2, h - 2):
|
|
|
for j in range(2, w - 2):
|
|
|
image1[i, j] = np.sum(m1 * img[i - 2:i + 3, j - 2:j + 3, 1])
|
|
|
img = cv2.convertScaleAbs(image1)
|
|
|
elif operator == 'Canny':
|
|
|
tmp = cv2.GaussianBlur(img, (3, 3), 0)
|
|
|
# 3. 求x，y方向的Sobel算子
|
|
|
gradx = cv2.Sobel(tmp, cv2.CV_16SC1, 1, 0)
|
|
|
grady = cv2.Sobel(tmp, cv2.CV_16SC1, 0, 1)
|
|
|
# 4. 使用Canny函数处理图像，x,y分别是3求出来的梯度，低阈值50，高阈值150
|
|
|
img = cv2.Canny(gradx, grady, 50, 150)
|
|
|
elif operator == 'Enhance':
|
|
|
h, w = img.shape
|
|
|
gradient = np.zeros((h, w))
|
|
|
img = img.astype('float')
|
|
|
for i in range(h - 1):
|
|
|
for j in range(w - 1):
|
|
|
gx = abs(img[i + 1, j] - img[i, j])
|
|
|
gy = abs(img[i, j + 1] - img[i, j])
|
|
|
gradient[i, j] = gx + gy
|
|
|
sharp = img + gradient
|
|
|
sharp = np.where(sharp > 255, 255, sharp)
|
|
|
sharp = np.where(sharp < 0, 0, sharp)
|
|
|
gradient = gradient.astype('uint8')
|
|
|
sharp = sharp.astype('uint8')
|
|
|
sharp_name = getImageName() + DEFAULT_FORMAT
|
|
|
gradient_name = getImageName() + DEFAULT_FORMAT
|
|
|
cv2.imwrite(PREFIX + sharp_name, sharp)
|
|
|
cv2.imwrite(PREFIX + gradient_name, gradient)
|
|
|
ret = [{"sharp": sharp_name, "gradient": gradient_name}]
|
|
|
return HttpResponse(ret)
|
|
|
filename = getImageName() + DEFAULT_FORMAT
|
|
|
cv2.imwrite(PREFIX + filename, img)
|
|
|
return HttpResponse(filename)
|
|
|
return HttpResponse('请使用POST方法')
|
|
|
|
|
|
def r(request):
|
|
|
return render(request, 'upload.html')
|
