Python cv2.minMaxLoc方法代码示例

本文整理汇总了Python中cv2.minMaxLoc方法的典型用法代码示例。如果您正苦于以下问题：Python cv2.minMaxLoc方法的具体用法？Python cv2.minMaxLoc怎么用？Python cv2.minMaxLoc使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在模块cv2的用法示例。

在下文中一共展示了cv2.minMaxLoc方法的22个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: match_img

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def match_img(image, template, value):""":param image: 图片:param template: 模板:param value: 阈值:return: 水印坐标描述:用于获得这幅图片模板对应的位置坐标,用途:校准元素位置信息"""res = cv2.matchTemplate(image, template, cv2.TM_CCOEFF_NORMED)threshold = valuemin_v, max_v, min_pt, max_pt = cv2.minMaxLoc(res)if max_v < threshold:return Falseif not max_pt[0] in range(10, 40) or max_pt[1] > 20:return Falsereturn max_pt

开发者ID:Mingtzge，项目名称:2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement，代码行数:18，代码来源:split_img_generate_data.py

示例2: get_match_confidence

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def get_match_confidence(img1, img2, mask=None):if img1.shape != img2.shape:return False## first try, using absdiff# diff = cv2.absdiff(img1, img2)# h, w, d = diff.shape# total = h*w*d# num = (diff<20).sum()# print 'is_match', total, num# return num > total*0.90if mask is not None:img1 = img1.copy()img1[mask!=0] = 0img2 = img2.copy()img2[mask!=0] = 0## using matchmatch = cv2.matchTemplate(img1, img2, cv2.TM_CCOEFF_NORMED)_, confidence, _, _ = cv2.minMaxLoc(match)# print confidencereturn confidence

开发者ID:NetEaseGame，项目名称:ATX，代码行数:22，代码来源:scene_detector.py

示例3: probability

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def probability(self, im: str) -> float:"""Return the probability of the existence of given image.:param im: the name of the image.:return: the probability (confidence)."""assert self.screen is not Nonetry:template = self.images[im]except KeyError:logger.error('Unexpected image name {}'.format(im))return 0.0res = cv.matchTemplate(self.screen, template, TM_METHOD)_, max_val, _, max_loc = cv.minMaxLoc(res)logger.debug('max_val = {}, max_loc = {}'.format(max_val, max_loc))return max_val

开发者ID:will7101，项目名称:fgo-bot，代码行数:20，代码来源:tm.py

示例4: find

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def find(self, im: str, threshold: float = None) -> Tuple[int, int]:"""Find the template image on screen and return its top-left coords.Return None if the matching value is less than `threshold`.:param im: the name of the image:param threshold: the threshold of matching. If not given, will be set to the default threshold.:return: the top-left coords of the result. Return (-1, -1) if not found."""threshold = threshold or self.thresholdassert self.screen is not Nonetry:template = self.images[im]except KeyError:logger.error('Unexpected image name {}'.format(im))return -1, -1res = cv.matchTemplate(self.screen, template, TM_METHOD)_, max_val, _, max_loc = cv.minMaxLoc(res)logger.debug('max_val = {}, max_loc = {}'.format(max_val, max_loc))return max_loc if max_val >= threshold else (-1, -1)

开发者ID:will7101，项目名称:fgo-bot，代码行数:25，代码来源:tm.py

示例5: cal_rgb_confidence

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def cal_rgb_confidence(img_src_rgb, img_sch_rgb):"""同大小彩图计算相似度."""# BGR三通道心理学权重:weight = (0.114, 0.587, 0.299)src_bgr, sch_bgr = cv2.split(img_src_rgb), cv2.split(img_sch_rgb)# 计算BGR三通道的confidence，存入bgr_confidence:bgr_confidence = [0, 0, 0]for i in range(3):res_temp = cv2.matchTemplate(src_bgr[i], sch_bgr[i], cv2.TM_CCOEFF_NORMED)min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res_temp)bgr_confidence[i] = max_val# 加权可信度weighted_confidence = bgr_confidence[0] * weight[0] + bgr_confidence[1] * weight[1] + bgr_confidence[2] * weight[2]return weighted_confidence

开发者ID:AirtestProject，项目名称:Airtest，代码行数:19，代码来源:cal_confidence.py

示例6: find_template

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def find_template(im_source, im_search, threshold=0.8, rgb=False):"""函数功能：找到最优结果."""# 第一步：校验图像输入check_source_larger_than_search(im_source, im_search)# 第二步：计算模板匹配的结果矩阵resres = _get_template_result_matrix(im_source, im_search)# 第三步：依次获取匹配结果min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)h, w = im_search.shape[:2]# 求取可信度:confidence = _get_confidence_from_matrix(im_source, im_search, max_loc, max_val, w, h, rgb)# 求取识别位置: 目标中心 + 目标区域:middle_point, rectangle = _get_target_rectangle(max_loc, w, h)best_match = generate_result(middle_point, rectangle, confidence)LOGGING.debug("threshold=%s, result=%s" % (threshold, best_match))return best_match if confidence >= threshold else None

开发者ID:AirtestProject，项目名称:Airtest，代码行数:18，代码来源:template.py

示例7: match_dmg_templates

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def match_dmg_templates(self, frame):match_mat, max_val, tl = [None]*10, [0]*10, [(0, 0)]*10for i in range(0, 10):match_mat[i] = cv2.matchTemplate(frame, self.num_img[0],cv2.TM_CCORR_NORMED, mask=self.num_mask[0])_, max_val[i], _, tl[i] = cv2.minMaxLoc(match_mat[i])# print(max_val[0])br = (tl[0][0] + self.num_w, tl[0][1] + self.num_h)frame = cv2.rectangle(frame, tl[0], br, (255, 255, 255), 2)# Multi-template result searching# _, max_val_1, _, tl_1 = cv2.minMaxLoc(np.array(match_mat))# print(tl_1)# A number of methods corresponding to the various trackbars available.

开发者ID:jpnaterer，项目名称:smashscan，代码行数:18，代码来源:thresholding.py

示例8: main

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def main():src = cv2.imread('src.jpg', cv2.IMREAD_GRAYSCALE)tpl = cv2.imread('tpl.jpg', cv2.IMREAD_GRAYSCALE)result = cv2.matchTemplate(src, tpl, cv2.TM_CCOEFF_NORMED)result = cv2.normalize(result, dst=None, alpha=0, beta=1,norm_type=cv2.NORM_MINMAX, dtype=-1)minVal, maxVal, minLoc, maxLoc = cv2.minMaxLoc(result)matchLoc = maxLocdraw1 = cv2.rectangle(src, matchLoc, (matchLoc[0] + tpl.shape[1], matchLoc[1] + tpl.shape[0]), 0, 2, 8, 0)draw2 = cv2.rectangle(result, matchLoc, (matchLoc[0] + tpl.shape[1], matchLoc[1] + tpl.shape[0]), 0, 2, 8, 0)cv2.imshow('draw1', draw1)cv2.imshow('draw2', draw2)cv2.waitKey(0)print src.shapeprint tpl.shapeprint result.shapeprint matchLoc

开发者ID:cynricfu，项目名称:dual-fisheye-video-stitching，代码行数:21，代码来源:template_matching.py

示例9: detect

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def detect(self, z, x):k = self.gaussianCorrelation(x, z)# 得到响应图res = real(fftd(complexMultiplication(self._alphaf, fftd(k)), True))# pv:响应最大值 pi:相应最大点的索引数组_, pv, _, pi = cv2.minMaxLoc(res)# 得到响应最大的点索引的float表示p = [float(pi[0]), float(pi[1])]# 使用幅值做差来定位峰值的位置if pi[0] > 0 and pi[0] < res.shape[1] - 1:p[0] += self.subPixelPeak(res[pi[1], pi[0] - 1], pv, res[pi[1], pi[0] + 1])if pi[1] > 0 and pi[1] < res.shape[0] - 1:p[1] += self.subPixelPeak(res[pi[1] - 1, pi[0]], pv, res[pi[1] + 1, pi[0]])# 得出偏离采样中心的位移p[0] -= res.shape[1] / 2.p[1] -= res.shape[0] / 2.# 返回偏离采样中心的位移和峰值return p, pv# 基于当前帧更新目标位置

开发者ID:ryanfwy，项目名称:KCF-DSST-py，代码行数:26，代码来源:tracker.py

示例10: detect_scale

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def detect_scale(self, image):xsf = self.get_scale_sample(image)# Compute AZ in the paperadd_temp = cv2.reduce(complexMultiplication(self.sf_num, xsf), 0, cv2.REDUCE_SUM)# compute the final yscale_response = cv2.idft(complexDivisionReal(add_temp, (self.sf_den + self.scale_lambda)), None, cv2.DFT_REAL_OUTPUT)# Get the max point as the final scaling rate# pv:响应最大值 pi:相应最大点的索引数组_, pv, _, pi = cv2.minMaxLoc(scale_response)return pi# 更新尺度

开发者ID:ryanfwy，项目名称:KCF-DSST-py，代码行数:18，代码来源:tracker.py

示例11: imagesearcharea

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def imagesearcharea(image, x1, y1, x2, y2, precision=0.8, im=None):if im is None:im = region_grabber(region=(x1, y1, x2, y2))if is_retina:im.thumbnail((round(im.size[0] * 0.5), round(im.size[1] * 0.5)))# im.save('testarea.png') usefull for debugging purposes, this will save the captured region as "testarea.png"img_rgb = np.array(im)img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)template = cv2.imread(image, 0)res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)if max_val < precision:return [-1, -1]return max_loc

开发者ID:drov0，项目名称:python-imagesearch，代码行数:18，代码来源:imagesearch.py

示例12: locate_img

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def locate_img(image, template):img = image.copy()res = cv2.matchTemplate(img, template, method)print resprint res.shapecv2.imwrite('image/shape.png', res)min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)print cv2.minMaxLoc(res)if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:top_left = min_locelse:top_left = max_loch, w = template.shapebottom_right = (top_left[0] + w, top_left[1]+h)cv2.rectangle(img, top_left, bottom_right, 255, 2)cv2.imwrite('image/tt.jpg', img)

开发者ID:NetEase，项目名称:airtest，代码行数:18，代码来源:pixelmatch.py

示例13: getKeypoints

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def getKeypoints(probMap, threshold=0.1):mapSmooth = cv2.GaussianBlur(probMap, (3, 3), 0, 0)mapMask = np.uint8(mapSmooth>threshold)keypoints = []contours = Nonetry:#OpenCV4.xcontours, _ = cv2.findContours(mapMask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)except:#OpenCV3.x_, contours, _ = cv2.findContours(mapMask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)for cnt in contours:blobMask = np.zeros(mapMask.shape)blobMask = cv2.fillConvexPoly(blobMask, cnt, 1)maskedProbMap = mapSmooth * blobMask_, maxVal, _, maxLoc = cv2.minMaxLoc(maskedProbMap)keypoints.append(maxLoc + (probMap[maxLoc[1], maxLoc[0]],))return keypoints

开发者ID:PINTO0309，项目名称:MobileNetV2-PoseEstimation，代码行数:23，代码来源:openvino-usbcamera-cpu-ncs2-async.py

示例14: _locate_target

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def _locate_target(self, score):def subpixel_peak(left, center, right):divisor = 2 * center - left - rightif abs(divisor) < 1e-3:return 0return 0.5 * (right - left) / divisor_, _, _, max_loc = cv2.minMaxLoc(score)loc = np.float32(max_loc)if max_loc[0] in range(1, score.shape[1] - 1):loc[0] += subpixel_peak(score[max_loc[1], max_loc[0] - 1],score[max_loc[1], max_loc[0]],score[max_loc[1], max_loc[0] + 1])if max_loc[1] in range(1, score.shape[0] - 1):loc[1] += subpixel_peak(score[max_loc[1] - 1, max_loc[0]],score[max_loc[1], max_loc[0]],score[max_loc[1] + 1, max_loc[0]])offset = loc - np.float32(score.shape[1::-1]) / 2return offset

开发者ID:huanglianghua，项目名称:open-vot，代码行数:25，代码来源:kcf.py

示例15: SMAvgLocalMax

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def SMAvgLocalMax(self, src):# sizestepsize = pySaliencyMapDefs.default_step_localwidth = src.shape[1]height = src.shape[0]# find local maximanumlocal = 0lmaxmean = 0for y in range(0, height-stepsize, stepsize):for x in range(0, width-stepsize, stepsize):localimg = src[y:y+stepsize, x:x+stepsize]lmin, lmax, dummy1, dummy2 = cv2.minMaxLoc(localimg)lmaxmean += lmaxnumlocal += 1# averaging over all the local regionsreturn lmaxmean / numlocal# normalization specific for the saliency map model

开发者ID:tyarkoni，项目名称:pliers，代码行数:19，代码来源:pySaliencyMap.py

示例16: matchAB

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def matchAB(fileA, fileB):# 读取图像数据imgA = cv2.imread(fileA)imgB = cv2.imread(fileB)# 转换成灰色grayA = cv2.cvtColor(imgA, cv2.COLOR_BGR2GRAY)grayB = cv2.cvtColor(imgB, cv2.COLOR_BGR2GRAY)# 获取图片A的大小height, width = grayA.shape# 取局部图像，寻找匹配位置result_window = np.zeros((height, width), dtype=imgA.dtype)for start_y in range(0, height-100, 10):for start_x in range(0, width-100, 10):window = grayA[start_y:start_y+100, start_x:start_x+100]match = cv2.matchTemplate(grayB, window, cv2.TM_CCOEFF_NORMED)_, _, _, max_loc = cv2.minMaxLoc(match)matched_window = grayB[max_loc[1]:max_loc[1]+100, max_loc[0]:max_loc[0]+100]result = cv2.absdiff(window, matched_window)result_window[start_y:start_y+100, start_x:start_x+100] = resultplt.imshow(result_window)plt.show()

开发者ID:cangyan，项目名称:image-detect，代码行数:27，代码来源:image_detect_02.py

示例17: detect

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def detect(self, z, x):k = self.gaussianCorrelation(x, z)res = real(fftd(complexMultiplication(self._alphaf, fftd(k)), True))_, pv, _, pi = cv2.minMaxLoc(res)   # pv:float  pi:tuple of intp = [float(pi[0]), float(pi[1])]   # cv::Point2f, [x,y]  #[float,float]if(pi[0]>0 and pi[0]<res.shape[1]-1):p[0] += self.subPixelPeak(res[pi[1],pi[0]-1], pv, res[pi[1],pi[0]+1])if(pi[1]>0 and pi[1]<res.shape[0]-1):p[1] += self.subPixelPeak(res[pi[1]-1,pi[0]], pv, res[pi[1]+1,pi[0]])p[0] -= res.shape[1] / 2.p[1] -= res.shape[0] / 2.return p, pv

开发者ID:uoip，项目名称:KCFnb，代码行数:18，代码来源:kcftracker.py

示例18: image_search

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def image_search(x_start :int, y_start :int, x_end :int, y_end :int,img :str, threshold :int, bmp :image =None) -> Optional[Tuple[int, int]]:"""Search the screen for the supplied picture.Returns a tuple with x,y-coordinates, or None if result is belowthe threshold.Keyword arguments:image     -- Filename or path to file that you search for.threshold -- The level of fuzziness to use - a perfect match will beclose to 1, but probably never 1. In my testing use avalue between 0.7-0.95 depending on how strict you wishto be.bmp       -- a bitmap from the get_bitmap() function, use this if you'reperforming multiple different OCR-readings in successionfrom the same page. This is to avoid to needlessly get thesame bitmap multiple times. If a bitmap is not passed, thefunction will get the bitmap itself. (default None)"""if not bmp: bmp = Inputs.get_bitmap()# Bitmaps are created with a 8px bordersearch_area = bmp.crop((x_start + 8, y_start + 8,x_end + 8, y_end + 8))search_area = numpy.asarray(search_area)search_area = cv2.cvtColor(search_area, cv2.COLOR_RGB2GRAY)template = cv2.imread(img, 0)res = cv2.matchTemplate(search_area, template, cv2.TM_CCOEFF_NORMED)_, max_val, _, max_loc = cv2.minMaxLoc(res)if max_val < threshold:return Nonereturn max_loc

开发者ID:kujan，项目名称:NGU-scripts，代码行数:34，代码来源:inputs.py

示例19: MatchTemplate

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def MatchTemplate(template, target):"""Returns match score for given template"""res = cv2.matchTemplate(target, template, cv2.TM_CCOEFF_NORMED)min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)return max_val

开发者ID:cfircohen，项目名称:airport，代码行数:7，代码来源:solver.py

示例20: match_img

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def match_img(self, image, target, value, rematch=False):""":param image: 原始图片:param target: 匹配模板:param value: 匹配阈值:param rematch: false,初赛水印,true复赛水印:return: 水印外轮廓坐标,原始图片灰度图,水印内轮廓"""img_rgb = cv2.imread(image)h, w, c = img_rgb.shapeimg_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)template = cv2.imread(target, 0)th, tw = template.shapemax_v1 = 0if not rematch:template = template[16:56, 20:186]else:template = template[18:107, 19:106]res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)threshold = valuemin_v, max_v, min_pt, max_pt = cv2.minMaxLoc(res)if max_v < threshold:return False, False, Falseif not rematch:template1 = cv2.imread(self.roi_rematch_img_path, 0)template1 = template1[18:107, 19:106]res1 = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)min_v1, max_v1, min_pt1, max_pt1 = cv2.minMaxLoc(res1)if max_v < max_v1:  # 避免两种水印匹配重叠的情况return False, False, Falseif not rematch:x = 20y = 16else:x = 19y = 18ori_pt = (min(w - tw - 1, max(max_pt[0] - x, 0)), max(0, min(max_pt[1] - y, h - th - 1)))return ori_pt, img_gray, max_pt

开发者ID:Mingtzge，项目名称:2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement，代码行数:40，代码来源:watermask_process.py

示例21: compare_a_template

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def compare_a_template(img_gray, template):  # 函数返回模板匹配的最大值"""将图片与模板对比，比较相似度:param img_gray: 灰度图片:param template: 模板图片:return: 相似度，介于[0，1]"""#img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)         # 转为灰度图res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)  # 模板匹配_, max_val, _, _ = cv2.minMaxLoc(res)return max_val     # 返回的是归一化的相似度的最大值,值位于0-1之间

开发者ID:Mingtzge，项目名称:2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement，代码行数:13，代码来源:twist_part.py

示例22: match_template1

# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import minMaxLoc [as 别名]
def match_template1(template, img, plot=False, method=cv2.TM_SQDIFF_NORMED):img = cv2.imread(img, 0).copy()template = cv2.imread(template, 0)w, h = template.shape[::-1]if lib == OPENCV:res = cv2.matchTemplate(img, template, method)min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:top_left = min_locelse:top_left = max_locelse:result = match_template(img, template)ij = np.unravel_index(np.argmax(result), result.shape)top_left = ij[::-1]bottom_right = (top_left[0] + w, top_left[1] + h)if plot:cv2.rectangle(img, top_left, bottom_right, 255, 5)plt.subplot(121)plt.imshow(img)plt.title('Detected Point'), plt.xticks([]), plt.yticks([])plt.subplot(122)plt.imshow(template)plt.show()return top_left, bottom_right

开发者ID:tobyqin，项目名称:kog-money，代码行数:31，代码来源:match.py

注：本文中的cv2.minMaxLoc方法示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。