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Python Math.dis_cos方法代码示例

本文整理汇总了Python中Math.dis_cos方法的典型用法代码示例。如果您正苦于以下问题:Python Math.dis_cos方法的具体用法?Python Math.dis_cos怎么用?Python Math.dis_cos使用的例子?那么, 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Math的用法示例。


在下文中一共展示了Math.dis_cos方法的3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,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: classficition

# 需要导入模块: import Math [as 别名]
# 或者: from Math import dis_cos [as 别名]
def classficition(features_path, save_path, picture_path, suff=".bmp"):
    # 标志序列,0表示没有比对过的,1表示已经比对过的
    if not os.path.exists(save_path):
        os.mkdir(save_path)
    all_num = text_process.Pic_Num(features_path, count=[0])
    mark = [0] * all_num
    file_num = 0
    dis = 0.65  # 此阈值可根据你自己需要更改

    for i in range(all_num):
        if mark[i] != 0:
            continue
        else:
            mark[i] = 1
            save_dir_name = "%s%d" % (save_path + "/", file_num)
            if not os.path.exists(save_dir_name):
                os.mkdir(save_dir_name)
            oldf_num = "%09d" % i
            oldfile_name = "%s%s%s" % (picture_path + "/", oldf_num, suff)

            newfile_name = "%s%s%09d%s" % (save_dir_name, "/", 0, suff)
            shutil.copyfile(oldfile_name, newfile_name)

            bais_feature_num = i
            bais_feature_file = "%s%09d%s" % (features_path + "/", bais_feature_num, ".txt")
            bais_features_data = text_process.load(bais_feature_file)

            j = i + 4000  # 在1000张范围内搜索
            end = Math.Min(j, all_num)
            num = 1
            count = 0
            for k in range(i + 1, end):
                if mark[k] != 0:
                    continue
                else:
                    feature_num = k
                    feature_file = "%s%09d%s" % (features_path + "/", feature_num, ".txt")
                    feature_data = text_process.load(feature_file)
                    # 计算相似度
                    sim = Math.dis_cos(np.array(bais_features_data), np.array(feature_data), 256, "false")
                    if sim < dis:
                        continue
                    else:
                        mark[k] = 1
                        count += 1
                        oldf_num = "%09d" % k
                        oldfile_name = "%s%s%s" % (picture_path + "/", oldf_num, suff)
                        newfile_name = "%s%s%09d%s" % (save_dir_name, "/", num, suff)
                        num += 1
                        shutil.copyfile(oldfile_name, newfile_name)
            if count < 10:
                shutil.rmtree(save_dir_name)
            else:
                file_num += 1
    print u"分类结束,共得到%d类" % (file_num)
开发者ID:yiboin,项目名称:Tools,代码行数:57,代码来源:ext-classficition.py

示例2: classficition

# 需要导入模块: import Math [as 别名]
# 或者: from Math import dis_cos [as 别名]
def classficition(features_path,save_path,picture_path,suff='.bmp'):
    #标志序列,0表示没有比对过的,1表示已经比对过的
    if not os.path.exists(save_path):
        os.mkdir(save_path)
    all_num = text_process.Pic_Num(features_path,count=[0])
    mark = [0]*all_num
    file_num = 0
    dis = 0.65# 此阈值可根据你自己需要更改
    
    for i in range(all_num):
        if mark[i] != 0:
            continue
        else:
            mark[i] = 1
            save_dir_name = "%s%d"%(save_path+'/',file_num)
            if not os.path.exists(save_dir_name):
                os.mkdir(save_dir_name)
            oldf_num = '%09d'%i
            oldfile_name = '%s%s%s'%(picture_path+'/',oldf_num,suff)
            
            newfile_name = '%s%s%09d%s'%(save_dir_name,'/',0,suff)
            shutil.copyfile(oldfile_name,newfile_name)
            
            bais_feature_num = i
            bais_feature_file = '%s%09d%s'%(features_path+'/',bais_feature_num,'.txt')
            bais_features_data = text_process.load(bais_feature_file)
            
            j = i + 2000 #在1000张范围内搜索
            end = Math.Min(j,all_num)
            num = 1
            for k in range(i+1,end):
                if mark[k] != 0:
                    continue
                else:
                    feature_num = k
                    feature_file = '%s%09d%s'%(features_path+'/',feature_num,'.txt')
                    feature_data = text_process.load(feature_file)
                    #计算相似度
                    sim = Math.dis_cos(np.array(bais_features_data),np.array(feature_data),256,'false')
                    if sim<dis:
                        continue
                    else:
                        mark[k] = 1
                        oldf_num = '%09d'%k
                        oldfile_name = '%s%s%s'%(picture_path+'/',oldf_num,suff)
                        newfile_name = '%s%s%09d%s'%(save_dir_name,'/',num,suff)
                        num += 1
                        shutil.copyfile(oldfile_name,newfile_name)
            file_num += 1
    print u'分类结束,共得到%d类'%(file_num)
开发者ID:SaberArthurus,项目名称:Tools,代码行数:52,代码来源:classficition.py

示例3: feature_class

# 需要导入模块: import Math [as 别名]
# 或者: from Math import dis_cos [as 别名]
def feature_class(imagelist,save_path,features_path,dis=0.65,suff='.bmp'):
    if not os.path.exists(save_path):
        os.mkdir(save_path)
    fr0 = open(imagelist,'r')
    line_num = fr0.readlines()
    all_num = len(line_num)
    end = all_num
    #mark 标记数组   标志序列 0表示没有比对过的,1表示已经比对过的
    mark = [0]*all_num
    file_num = 0
    
    #通过imagelist获得picture_path
    fr = open(imagelist,'r')
    line = fr.readline().strip('\n').split('.')[0]
    word = line.split('/')
    picture_path = word[0]+'/'
    for i in range(1,(len(word)-1)):
        picture_path += word[i] + '/'
    fr.close()
    
    #大循环分类
    count = 0
    for i in range(all_num):
        if mark[i] != 0:
            continue
        else:
            mark[i] = 1
            save_dir_name = '%s%s%d'%(save_path,'/',file_num)
            if not os.path.exists(save_dir_name):
                os.mkdir(save_dir_name)
            oldf_num = '%09d'%i
            oldfile_name = '%s%s%s'%(picture_path,oldf_num,suff)
        
            newfile_name = '%s%s%09d%s'%(save_dir_name,'/',0,suff)
            shutil.copyfile(oldfile_name,newfile_name)# 复制基准图像到文件夹
        
            bais_feature_num = i
            bais_feature_file = '%s%s%09d%s'%(features_path,'/',bais_feature_num,'.pkl')
            fr1 = open(bais_feature_file,'rb') 
            bais_features_data = pickle.load(fr1) #获得了基准特征数据
        
            num = 1# 每类中图片编号
            for k in range(i+1,end):
                if mark[k] != 0:
                    continue
                else:
                    feature_num = k
                    feature_file = '%s%s%09d%s'%(features_path,'/',feature_num,'.pkl')
                    fr2 = open(feature_file,'rb')
                    feature_data = pickle.load(fr2).reshape(256,1)
                    #计算相似度
                    sim = Math.dis_cos(bais_features_data,feature_data)
                    if sim < dis:
                        continue
                    else:
                        mark[k] = 1
                        oldf_num = '%09d'%k
                        oldfile_name = '%s%s%s'%(picture_path,oldf_num,suff)
                        newfile_name = '%s%s%09d%s'%(save_dir_name,'/',num,suff)
                        num += 1
                        shutil.copyfile(oldfile_name,newfile_name)
                        count += 1
                        if count%1000 == 0:
                            print u'feature_class  %d  张图片'%(count)
            file_num += 1
            fr1.close()
            fr2.close()
    print u'feature_class 已经完成,共处理%d张图片'%(count)
开发者ID:SaberArthurus,项目名称:Tools,代码行数:70,代码来源:feature_class.py


注:本文中的Math.dis_cos方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,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。