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将单通道数据值变成3通道 cv::Mat mask_face(H, w, CV_8UC3, ppu8Plane[0]); for (int i = 0; i < mask_glass.rows; i++) { for (int j = 0; j < mask_glass.cols; j++) { m 阅读全文
该文被密码保护。 阅读全文
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def resize(image, size_num): delm=max( image.shape[1], image.shape[0]) if delm>size_num: multiple = delm/size_num ss=1 hh_big=image.shape[1] ww_big=im 阅读全文
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def find_similar_img(det_im,im_dataset_dir): im_dataset=os.listdir(im_dataset_dir) need_im_name=[] need_im_det_instance=[] print ('now doing get featu 阅读全文
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def calEuclideanDistance(vec1,vec2): dist = np.sqrt(np.sum(np.square(vec1 - vec2))) return dist 阅读全文
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def HOG_features(im): #start_time1=time.time() hog = cv2.HOGDescriptor() winStride = (8, 8) padding = (8, 8) hist = hog.compute(im, winStride, padding 阅读全文
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import time from options.train_options import TrainOptions from data import create_dataset from models import create_model from util.visualizer import 阅读全文
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import os import cv2 import numpy as np Adir = './trainA/' Bdir = './trainB/' ABdir = './datasets/train/' num=0 for fi in os.listdir(Adir): im_A = cv2 阅读全文
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论文：《A fast and robust convolutional neural network-based defect detection model in product quality control》 论文地址：http://personalpages.to.infn.it/~muss 阅读全文
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论文《Deep learning-based crack damage detection using convolutional neural networks》 问题：混凝土裂缝检测 做法：大概意思就是说采用了下面的这样一个网络，对切块后的图像进行了分类。图像切块的策略见最后的图所示： 实验结果 阅读全文