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plegall
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*2c45ca5- Update pl_PL, thanks to Sauron (2018-01-27 08:37:15 +0100) *3b0f56e- Update pl_PL, thanks to Sauron (2018-01-27 08:37:07 +0100) *60b4478- Update pl_PL, thanks to Sauron (2018-01-27 08:36:58 +0100) *1c02e03- Update mn_MN, thanks to Ulzii (2018-01-15 06:38:42 +0100) *633cd56- Update mn_MN, thanks to Ulzii (2018-01-15 06:38:33 +0100) *4e65e00- Update zh_CN, thanks to dennisyan (2017-12-17 11:19:57 +0100) *fc4531a- Update th_TH, thanks to pradit (2017-12-11 18:11:54 +0100) *31f8a12- Update th_TH, thanks to pradit (2017-12-11 18:11:45 +0100) *6e36be5- Update de_DE, thanks to e-dschungel (2017-11-18 07:51:19 +0100) *457a93d- Update fr_FR, thanks to rio (2017-11-04 17:55:21 +0100) *4e5ee3f- Update it_IT, thanks to rio (2017-11-04 17:55:12 +0100) *c15ff12- Update lt_LT, thanks to vilisas (2017-10-15 07:06:26 +0200) *341e1b0- Update lt_LT, thanks to vilisas (2017-10-15 07:06:09 +0200) *5c758f6- Update lt_LT, thanks to vilisas (2017-10-15 07:05:38 +0200) *10a685c- Update lt_LT, thanks to vilisas (2017-10-15 07:05:29 +0200) *739a920- Update lt_LT, thanks to vilisas (2017-10-15 07:05:21 +0200) *9cab061- Update vi_VN, thanks to dummy (2017-10-12 06:12:51 +0200) *90934a4- Update pt_BR, thanks to flaviove (2017-10-12 06:12:42 +0200) *b1cd6cd- Update lt_LT, thanks to vilisas (2017-10-09 20:59:27 +0200) *d4a0f4e- Update fr_FR, thanks to cryopad (2017-10-09 20:59:04 +0200) *cd3a137- Update nb_NO, thanks to paulen (2017-10-09 20:58:56 +0200) *b44fda2- Update uk_UA, thanks to StreamThreader (2017-10-09 20:58:47 +0200) *4991c96- Update en_UK, thanks to ddtddt (2017-10-09 20:58:39 +0200) *92f515a- Update lv_LV, thanks to agrisans (2017-10-09 20:58:31 +0200) *e211140- Update ru_RU, thanks to Konve (2017-10-09 20:58:22 +0200) *577a25e- Update sv_SE, thanks to Elger (2017-10-09 20:58:13 +0200) *356c3eb- Update da_DK, thanks to Kaare (2017-10-09 20:58:04 +0200) *2c2c443- Update ro_RO, thanks to enels (2017-10-05 20:40:06 +0200)
142 lines
3.0 KiB
HTML
Executable File
142 lines
3.0 KiB
HTML
Executable File
<h2>搜索</h2>
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<p>默认匹配所有关键词，不区分大小写。</p>
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<table class="qsearch_help_table">
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<tr>
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<td>带引号的短语<br>
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<q>"search"</q>
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</td>
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<td>使用引号搜索一个确切的词或短语。<br>
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<q>"乔治 华盛顿"</q></td>
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</tr>
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<tr>
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<td>任一关键词<br>
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<q>OR search</q><br>
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</td>
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<td>在词语间添加一个 OR<br>
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<q>小李 OR 小张</q></td>
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</tr>
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<tr>
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<td>排除<br>
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<q>NOT search</q><br>
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<q>-search</q>
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</td>
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<td>在一个关键词前面添加连接符号（-）或 NOT 将其排除在外。注意 NOT 是作为筛选运算符起作用的，所以搜索框中不能只含有 NOT 运算符。OR 和 NOT 不能同时使用（<q>小李 OR NOT 小张</q> 是无效的）<br>
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<q>乔治 华盛顿 NOT 布什</q></td>
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</tr>
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<tr>
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<td>组合搜索<br>
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<q>()</q><br>
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</td>
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<td><br>
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<q>(妈妈 OR 爸爸) AND (女儿 OR 儿子)</q></td>
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</tr>
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</table>
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<br>
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<table class="qsearch_help_table">
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<tr>
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<td><q>tag:</q><br>
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<q>tags:</q>
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</td>
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<td>不在图片标题或描述中搜索，只在标签（tag）名称中搜索。<br>
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<q>tag:小李</q>, <q>tag:(小李 OR 小张)</q></td>
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</tr>
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<tr>
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<td><q>photo:</q><br>
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<q>photos:</q>
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</td>
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<td>只在图片标题或描述中搜索关键词。<br>
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<q>photo:小李</q></td>
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</tr>
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<tr>
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<td><q>file:</q>
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</td>
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<td>在文件名中搜索。<br>
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<q>file:DSC_</q></td>
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</tr>
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<tr>
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<td><q>author:</q>
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</td>
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<td>按作者搜索。<br>
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<q>author:小李</q></td>
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</tr>
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<tr>
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<td><q>created:</q><br>
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<q>taken:</q>
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<q>shot:</q>
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</td>
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<td>按照片拍摄时间搜索。<br>
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<q>taken:2003</q> 搜索2003年拍摄的照片<br>
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<q>taken:20035</q>,<q>taken:2003-5</q>,<q>taken:2003-05</q> 搜索2003年5月拍摄的照片<br>
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<q>taken:2003..2008</q> 搜索2003年至2008年拍摄的照片<br>
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<q>taken:>2008</q>,<q>taken:2008*</q>,<q>taken:2008..</q> 搜索2008年1月1日起拍摄的照片<br>
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</td>
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</tr>
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<tr>
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<td><q>posted:</q>
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</td>
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<td>按图片发布时间搜索。</td>
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</tr>
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<tr>
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<td><q>width:</q><br>
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<q>height:</q>
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</td>
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<td>按给定的图片宽度或高度搜索。</td>
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</tr>
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<tr>
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<td><q>size:</q>
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</td>
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<td>按图片像素尺寸搜索。<br>
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<q>size:5m</q> 找出5百万像素的图片<br>
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<q>size:>12m</q> 找出大于或等于1千2百万像素的图片<br></td>
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</tr>
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<tr>
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<td><q>ratio:</q>
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</td>
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<td>按图片宽/高比搜索。<br>
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<q>ratio:3/4 OR ratio:4/3</q> 找出3:4或4:3的卡片相机比例的竖版或横版图片
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<q>ratio:>16/9</q> 找出16:9的宽版图片
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</td>
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</tr>
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<tr>
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<td><q>hits:</q>
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</td>
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<td></td>
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</tr>
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<tr>
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<td><q>score:</q><br>
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<q>rating:</q>
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</td>
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<td>提示： <q>score:*</q> 将找出所有至少获得过1次评分的图片。 <q>score:</q> 将找出未获得过评分的图片。</td>
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</tr>
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<tr>
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<td><q>filesize:</q>
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</td>
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<td>按文件大小搜索图片。<br>
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<q>filesize:1m..10m</q> 找出大小在1MB与10MB之间的图片。</td>
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</tr>
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<tr>
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<td><q>id:</q>
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</td>
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<td>根据图片在 Piwigo 中的序号搜索图片。<br>
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<q>id:123..126</q> 找出图片 123 至 126 （结果可能会找出0至4张图片，因为有的图片可能已被删除）。</td>
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</tr>
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</table>
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