网络商店开发者 新闻网站 社交媒体应用 或定期提供新媒体内容的其他网站
简言之,您的客户期望高品质快速加载照片,清晰显示他们需要看到的东西,而不管他们当前碰巧使用什么设备。令他们快乐需要以多维比提供相同图像,并视大小,有可能对主题近或广裁剪听起来不合理 但如果你达不到期望 你的客户会去别处
(为什么我觉得我在描述我十几岁的女儿?实事求是地说,今天在线客户的要求性质和短注意力范围与青少年有很多相似之处
与青少年不同,你无法满足用户需求上千张图像每天发送, 无法手动裁剪每一幅图像到正确尺寸, 供设备安装和定位使用 。简单客户端缩放高质量图像将意味着完全无法接受性能和质量清晰可见的是,你必须按程序调整图像大小比,然后使用响应传送代码发送各种图像解析
并
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问题产生-如果你编程用同一张相切比大相径庭,你怎么能确定您的代码不会裁剪出产品、新闻题目中最重要的部分或你的用户只需分享给世界的那只可爱猫呢?
万一你已经熟悉云化强大的媒体管理交付能力,你可能表示-问题出在哪里?使用云形图像自动编译重力参数g_aut
)它会为您做艰苦工作
上千云开发商已经使用g_aut
图像内URL自定义每日裁剪数以百万计图像参数应用精密算法分析图像像素并优先排列每个图像最突出区域分析优先处理皮肤色调、边缘检测、色差对比、任何检测到的表情等等,以便确定最重要的区域保留时保留作物
万一云化原已强大的图像自裁功能甚至会更智能呢
云化新提高深学习基础g_aut
变换参数超出上文描述的显性分析范围,添加能力实测图像主体最有可能捕捉人注意力
实现这一点时,新图像自标深度学习机制已经(并持续)用数万图像和相应的人文输入并教机器预测重要区域图像,而不论其主体和布局如何。包括高级计算GPU硬件集群处理数以百万计的飞作物请求结果是完全独特的自裁功能,提供令人印象深刻的输出
记得上头讲到的产品、新闻图片和用户生成内容
看这些移动摄像头照片会怎么样, 如果我们用标准中心裁剪法把照片裁剪成广场, 而其他程序则常应用,
原创
中心裁剪
giot裁剪
原创
中心裁剪
giot裁剪
原创
中心裁剪
giot裁剪
如何应用这种酷裁剪法交付图像上传原创图像到云型账号后,只需具体说明汽车
成像重力
即时交付URL中,并有作物模式等填充,填充或裁剪上位比或宽度/高度组合与原创不同
举个例子,这就是你如何向500px平方AR_1
交付 URL 中 :
<\/Image>","codeSnippet":"
\n\t
\n<\/Image>","status":0,"statusText":"Ok","displayName":"React","packageName":"cloudinary-react","packageStatus":"","packageVersion":"1.x"},{"sdkId":"vue_2","framework":"vue_2","language":"vue","rawCodeSnippet":"new CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").resize(\n fill()\n .width(500)\n .aspectRatio(\"1.0\")\n .gravity(autoGravity())\n);","codeSnippet":"new CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").resize(\n fill()\n .width(500)\n .aspectRatio(\"1.0\")\n .gravity(autoGravity())\n);","status":0,"statusText":"Ok","displayName":"Vue.js","packageName":"@cloudinary\/vue","packageStatus":"","packageVersion":"1.x"},{"sdkId":"vue","framework":"vue","language":"vue","rawCodeSnippet":"
<\/cld-image>","codeSnippet":"
\n\t
\n<\/cld-image>","status":0,"statusText":"Ok","displayName":"Vue.js","packageName":"cloudinary-vue","packageStatus":"legacy","packageVersion":"1.x"},{"sdkId":"angular_2","framework":"angular_2","language":"angular","rawCodeSnippet":"new CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").resize(\n fill()\n .width(500)\n .aspectRatio(\"1.0\")\n .gravity(autoGravity())\n);","codeSnippet":"new CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").resize(\n fill()\n .width(500)\n .aspectRatio(\"1.0\")\n .gravity(autoGravity())\n);","status":0,"statusText":"Ok","displayName":"Angular","packageName":"@cloudinary\/ng","packageStatus":"","packageVersion":"1.x"},{"sdkId":"angular","framework":"angular","language":"angular","rawCodeSnippet":"
<\/cl-transformation> <\/cl-image>","codeSnippet":"
\n\t
\n\t<\/cl-transformation>\n<\/cl-image>","status":0,"statusText":"Ok","displayName":"Angular","packageName":"@cloudinary\/angular-5.x","packageStatus":"legacy","packageVersion":"1.x"},{"sdkId":"js_2","framework":"js_2","language":"js","rawCodeSnippet":"new CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").resize(\n fill()\n .width(500)\n .aspectRatio(\"1.0\")\n .gravity(autoGravity())\n);","codeSnippet":"new CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").resize(\n fill()\n .width(500)\n .aspectRatio(\"1.0\")\n .gravity(autoGravity())\n);","status":0,"statusText":"Ok","displayName":"JS","packageName":"@cloudinary\/url-gen","packageStatus":"","packageVersion":"1.x"},{"sdkId":"js","framework":"js","language":"js","rawCodeSnippet":"cloudinary.imageTag('docs\/cat_yellow_leaves2.jpg', {gravity: \"auto\", aspectRatio: \"1\", width: 500, crop: \"fill\"}).toHtml();","codeSnippet":"cloudinary.imageTag('docs\/cat_yellow_leaves2.jpg', {gravity: \"auto\", aspectRatio: \"1\", width: 500, crop: \"fill\"}).toHtml();","status":0,"statusText":"Ok","displayName":"JS","packageName":"cloudinary-core","packageStatus":"legacy","packageVersion":"2.x"},{"sdkId":"python","framework":"python","language":"python","rawCodeSnippet":"CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").image(gravity=\"auto\", aspect_ratio=\"1\", width=500, crop=\"fill\")","codeSnippet":"CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").image(gravity=\"auto\", aspect_ratio=\"1\", width=500, crop=\"fill\")","status":0,"statusText":"Ok","displayName":"Python","packageName":"cloudinary","packageStatus":"","packageVersion":"1.x"},{"sdkId":"php_2","framework":"php_2","language":"php","rawCodeSnippet":"(new ImageTag('docs\/cat_yellow_leaves2.jpg'))\n\t->resize(Resize::fill()->width(500)\n->aspectRatio(1.0)\n\t->gravity(\n\tGravity::autoGravity())\n\t);","codeSnippet":"(new ImageTag('docs\/cat_yellow_leaves2.jpg'))\n\t->resize(Resize::fill()->width(500)\n->aspectRatio(1.0)\n\t->gravity(\n\tGravity::autoGravity())\n\t);","status":0,"statusText":"Ok","displayName":"PHP","packageName":"cloudinary_php","packageStatus":"","packageVersion":"2.x"},{"sdkId":"php","framework":"php","language":"php","rawCodeSnippet":"cl_image_tag(\"docs\/cat_yellow_leaves2.jpg\", array(\"gravity\"=>\"auto\", \"aspect_ratio\"=>\"1\", \"width\"=>500, \"crop\"=>\"fill\"))","codeSnippet":"cl_image_tag(\"docs\/cat_yellow_leaves2.jpg\", array(\"gravity\"=>\"auto\", \"aspect_ratio\"=>\"1\", \"width\"=>500, \"crop\"=>\"fill\"))","status":0,"statusText":"Ok","displayName":"PHP","packageName":"cloudinary_php","packageStatus":"legacy","packageVersion":"1.x"},{"sdkId":"java","framework":"java","language":"java","rawCodeSnippet":"cloudinary.url().transformation(new Transformation().gravity(\"auto\").aspectRatio(\"1\").width(500).crop(\"fill\")).imageTag(\"docs\/cat_yellow_leaves2.jpg\");","codeSnippet":"cloudinary.url().transformation(new Transformation().gravity(\"auto\").aspectRatio(\"1\").width(500).crop(\"fill\")).imageTag(\"docs\/cat_yellow_leaves2.jpg\");","status":0,"statusText":"Ok","displayName":"Java","packageName":"cloudinary","packageStatus":"","packageVersion":"1.x"},{"sdkId":"ruby","framework":"ruby","language":"ruby","rawCodeSnippet":"cl_image_tag(\"docs\/cat_yellow_leaves2.jpg\", :gravity=>\"auto\", :aspect_ratio=>\"1\", :width=>500, :crop=>\"fill\")","codeSnippet":"cl_image_tag(\"docs\/cat_yellow_leaves2.jpg\", :gravity=>\"auto\", :aspect_ratio=>\"1\", :width=>500, :crop=>\"fill\")","status":0,"statusText":"Ok","displayName":"Ruby","packageName":"cloudinary","packageStatus":"","packageVersion":"1.x"},{"sdkId":"csharp","framework":"csharp","language":"csharp","rawCodeSnippet":"cloudinary.Api.UrlImgUp.Transform(new Transformation().Gravity(\"auto\").AspectRatio(\"1\").Width(500).Crop(\"fill\")).BuildImageTag(\"docs\/cat_yellow_leaves2.jpg\")","codeSnippet":"cloudinary.Api.UrlImgUp.Transform(new Transformation().Gravity(\"auto\").AspectRatio(\"1\").Width(500).Crop(\"fill\")).BuildImageTag(\"docs\/cat_yellow_leaves2.jpg\")","status":0,"statusText":"Ok","displayName":".NET","packageName":"CloudinaryDotNet","packageStatus":"","packageVersion":"1.x"},{"sdkId":"dart","framework":"dart","language":"dart","rawCodeSnippet":"cloudinary.image('docs\/cat_yellow_leaves2.jpg').transformation(Transformation()\n\t.resize(Resize.fill().width(500)\n.aspectRatio('1.0')\n\t.gravity(\n\tGravity.autoGravity())\n\t));","codeSnippet":"cloudinary.image('docs\/cat_yellow_leaves2.jpg').transformation(Transformation()\n\t.resize(Resize.fill().width(500)\n.aspectRatio('1.0')\n\t.gravity(\n\tGravity.autoGravity())\n\t));","status":0,"statusText":"Ok","displayName":"Dart","packageName":"cloudinary_dart","packageStatus":"","packageVersion":"0.x"},{"sdkId":"swift","framework":"swift","language":"swift","rawCodeSnippet":"imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setGravity(\"auto\").setAspectRatio(\"1\").setWidth(500).setCrop(\"fill\")).generate(\"docs\/cat_yellow_leaves2.jpg\")!, cloudinary: cloudinary)","codeSnippet":"imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setGravity(\"auto\").setAspectRatio(\"1\").setWidth(500).setCrop(\"fill\")).generate(\"docs\/cat_yellow_leaves2.jpg\")!, cloudinary: cloudinary)","status":0,"statusText":"Ok","displayName":"iOS","packageName":"cloudinary","packageStatus":"","packageVersion":"3.x"},{"sdkId":"android","framework":"android","language":"android","rawCodeSnippet":"MediaManager.get().url().transformation(new Transformation().gravity(\"auto\").aspectRatio(\"1\").width(500).crop(\"fill\")).generate(\"docs\/cat_yellow_leaves2.jpg\");","codeSnippet":"MediaManager.get().url().transformation(new Transformation().gravity(\"auto\").aspectRatio(\"1\").width(500).crop(\"fill\")).generate(\"docs\/cat_yellow_leaves2.jpg\");","status":0,"statusText":"Ok","displayName":"Android","packageName":"cloudinary-android","packageStatus":"","packageVersion":"1.x"},{"sdkId":"flutter","framework":"flutter","language":"flutter","rawCodeSnippet":"cloudinary.image('docs\/cat_yellow_leaves2.jpg').transformation(Transformation()\n\t.resize(Resize.fill().width(500)\n.aspectRatio('1.0')\n\t.gravity(\n\tGravity.autoGravity())\n\t));","codeSnippet":"cloudinary.image('docs\/cat_yellow_leaves2.jpg').transformation(Transformation()\n\t.resize(Resize.fill().width(500)\n.aspectRatio('1.0')\n\t.gravity(\n\tGravity.autoGravity())\n\t));","status":0,"statusText":"Ok","displayName":"Flutter","packageName":"cloudinary_flutter","packageStatus":"","packageVersion":"0.x"},{"sdkId":"kotlin","framework":"kotlin","language":"kotlin","rawCodeSnippet":"cloudinary.image {\n\tpublicId(\"docs\/cat_yellow_leaves2.jpg\")\n\t resize(Resize.fill() { width(500)\n aspectRatio(1.0F)\n\t gravity(\n\tGravity.autoGravity())\n\t }) \n}.generate()","codeSnippet":"cloudinary.image {\n\tpublicId(\"docs\/cat_yellow_leaves2.jpg\")\n\t resize(Resize.fill() { width(500)\n aspectRatio(1.0F)\n\t gravity(\n\tGravity.autoGravity())\n\t }) \n}.generate()","status":0,"statusText":"Ok","displayName":"Kotlin","packageName":"kotlin-url-gen","packageStatus":"","packageVersion":"1.x"},{"sdkId":"jquery","framework":"jquery","language":"jquery","rawCodeSnippet":"$.cloudinary.image(\"docs\/cat_yellow_leaves2.jpg\", {gravity: \"auto\", aspect_ratio: \"1\", width: 500, crop: \"fill\"})","codeSnippet":"$.cloudinary.image(\"docs\/cat_yellow_leaves2.jpg\", {gravity: \"auto\", aspect_ratio: \"1\", width: 500, crop: \"fill\"})","status":0,"statusText":"Ok","displayName":"jQuery","packageName":"cloudinary-jquery","packageStatus":"","packageVersion":"2.x"},{"sdkId":"react_native","framework":"react_native","language":"react_native","rawCodeSnippet":"new CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").resize(\n fill()\n .width(500)\n .aspectRatio(\"1.0\")\n .gravity(autoGravity())\n);","codeSnippet":"new CloudinaryImage(\"docs\/cat_yellow_leaves2.jpg\").resize(\n fill()\n .width(500)\n .aspectRatio(\"1.0\")\n .gravity(autoGravity())\n);","status":0,"statusText":"Ok","displayName":"React Native","packageName":"cloudinary-react-native","packageStatus":"","packageVersion":"0.x"}]" parsed-url="{"url":"https:\/\/res.www.aaaalireno.com\/demo\/image\/upload\/g_auto,c_fill,ar_1,w_500\/docs\/cat_yellow_leaves2.jpg","cloud_name":"demo","host":"res.www.aaaalireno.com","type":"upload","resource_type":"image","transformation":[{"gravity":"auto","crop_mode":"fill","aspect_ratio":"1","width":"500"}],"transformation_string":"g_auto,c_fill,ar_1,w_500","url_suffix":"","version":null,"secure":true,"public_id":"docs\/cat_yellow_leaves2.jpg","extension":"jpg","format":"jpg","format_code":true,"signature":"","private_cdn":false,"result_asset_type":"image"}" with-url="true" >
加载代码示例
除云形外,市场中还有其他AI图像裁剪器例举 :
AICropper:web浏览器应用允许您在手机、平板电脑或桌面上裁剪AI文件不增加水印或日期
PhotoAiD:免费在线图像裁剪器 复杂图片编辑贝斯特2200娱乐专供脸书或CV等平台使用
魔术裁剪网站使用AI和三分法自动将图片输入完全平方图甚至批量裁剪多图像,为那些多照片处理者提供效率更高的解决方案
传统图像编辑软件如AdobePhotoshop、GIMP或Pixlr也可以用于调整图像大小而不损质量,为用户图像编辑任务提供更多选项和弹性
云形机学习能力组最新加法分析整片图像, 而不是像素像素分析 应用到经典自裁特征
在大多数情况下 经典特征算法 和新主体检测法 都提供相同或相似的结果处理云形每天处理的大量自克隆时, 有一些案例我们认为我们可以提供更好的结果举例说,新主体检测算法在照片真主体非得与日光、面孔或非图像中核心的其他大色对比等元素竞争时可能比较可靠
经典自裁算法提高优先级 树叶对天空的亮对比, 并在此例中,当侧比发生显著变化时,不保留女孩人工智能算法仿照直觉告诉我们, 自动裁剪正对准目标
快速记事本 求取世界之最 缺省g_aut
参数现在综合应用主体算法和经典算法(更多偏向主体结果)。可主动请求经典或主题机制使用任何作物模式自动:经典
或自动主题
成像重力高山市g_
)值
大图像自动编译值真正产生作用时,你开始想在不同设备中投送同一张图像。
需要安全运行的组织往往只是缩放原创图像并交付相同事物而不管设备视图端比表示你真的牺牲细节 或小屏幕 或侧比与原型大不相同
手机在画像和风景间旋转时,即切换~19:9对九点十九分或宽比2.1对0.47,而您的计算机屏幕浏览器可能使用4: 3或16:9屏幕上您真的想要在所有视图中提供完全相同的图像吗?
泛泛而言,填充设备视图场的图像得到最大程度的连接可你只能走这条路 如果你能确定 50%或更多图像可裁剪出
举个例子,带新g_aut
上传图片填充手机视图端口, 即使是用户旋转手机, 取景者旋转手机时, 也可以向查看者提供更多动性选项Bs而非小选项As
程序裁剪图像是任何网站或移动网站的一个基本部分但当主体和对象位置无法预测时 自动裁剪并不够裁剪机制必须足够智能以“知道”终端用户想看什么云形自动裁剪主题检测中,你可以满怀信心地传送大照片,将用户注意力直接带到手头主题上,从响应视图到响应视图中。
顺便说一句,如果你主体不易变换,例如假设你卖微波炉、伞机、车辆或食品,你可能想利用我们的新手目标感知图像裁剪加载上加应用另一种深学习工具,将最高保存优先级(“不裁量”)赋予指定对象或类别未发现指定对象时,此处描述的主体检测自捕算法仍然应用
终极目标有了这些智能AI算法,你就可以满怀信心地使用相同的裁剪变换法, 几乎所有图像都由你提供, 不论图像大小布局、用户设备或图形设计
主题检测自编自编自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自译自编偶数自由计划脱机
深入了解g_aut:主体并所有自动裁剪选项入院
与内容伙伴一起,我们编写了关于数个专题的深入指南,在你探索世界时,这些指南可能有用机器学习.
说到图像裁剪,AdobeIllustraAdobeIlustra使用此特征
- 选择图像选择工具
- 上层工具栏点击Crop图像按钮
- 拖网框角裁剪图像
- 键盘快捷键Ctrl+7
Illustrator提供一种替代方法,称为裁剪掩码作物图片剪切掩码法使用
- 选择图像和形状
- 选择对象 > 滑动掩码 > Make
值得一提的是,如果不选择图像,Crop图像按钮就不会出现在工具板中并,如果选择Crop图像选项后尝试变换图像,Illustrator将退出裁剪接口
作者Aporia
作者为Datagen