{"id":104001,"date":"2026-09-11T16:33:13","date_gmt":"2026-09-11T08:33:13","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/104001.html"},"modified":"2026-09-11T16:33:13","modified_gmt":"2026-09-11T08:33:13","slug":"%e8%ae%a1%e7%ae%97%e6%9c%ba%e8%a7%86%e8%a7%8901%ef%bc%9a%e5%9b%be%e5%83%8f%e5%9f%ba%e7%a1%80-%e5%83%8f%e7%b4%a0%e3%80%81%e9%80%9a%e9%81%93%e3%80%81%e8%89%b2%e5%bd%a9%e7%a9%ba%e9%97%b4","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/104001.html","title":{"rendered":"\u8ba1\u7b97\u673a\u89c6\u89c901\uff1a\u56fe\u50cf\u57fa\u7840 \u2014 \u50cf\u7d20\u3001\u901a\u9053\u3001\u8272\u5f69\u7a7a\u95f4"},"content":{"rendered":"<h2>\u8ba1\u7b97\u673a\u89c6\u89c901&#xff1a;\u56fe\u50cf\u57fa\u7840 \u2014 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p,#mermaid-svg-Ewnw9UhPLH6eYfPc .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-Ewnw9UhPLH6eYfPc .icon-shape .label rect,#mermaid-svg-Ewnw9UhPLH6eYfPc .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-Ewnw9UhPLH6eYfPc .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-Ewnw9UhPLH6eYfPc .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-Ewnw9UhPLH6eYfPc :root{&#8211;mermaid-font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;}<span class=\"edgeLabel\"><\/span><span class=\"edgeLabel\"><\/span><span class=\"edgeLabel\"><\/span><span class=\"edgeLabel\"><\/span><span class=\"edgeLabel\"><\/span><span class=\"edgeLabel\"><\/span><span class=\"edgeLabel\"><\/span><span class=\"edgeLabel\"><\/span><span class=\"edgeLabel\"><\/span><span class=\"nodeLabel\"><\/p>\n<p>Image file(JPEG\/PNG)<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>Decodeuint8 HWC<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>Convertcolorspace(RGB\/BGR\/YCbCr)<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>Resizeshorter side<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>Center cropmodel size<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>Divide by 255float32 [0,1]<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>Subtract meanDivide by std<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>TransposeHWC \u2192 CHW<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>BatchCHW \u2192 NCHW<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>Model<\/p>\n<p><\/span><\/p>\n<p>\u7ea2\u8272\u548c\u84dd\u8272\u7684\u4e24\u4e2a\u65b9\u6846\u662f 80% \u9759\u9ed8\u5931\u8d25\u7684\u6765\u6e90&#xff1a;\u7f3a\u5931\u7684\u6807\u51c6\u5316\u548c\u9519\u8bef\u7684\u5e03\u5c40\u3002<\/p>\n<h4>\u50cf\u7d20\u662f\u91c7\u6837\u70b9&#xff0c;\u4e0d\u662f\u65b9\u5757<\/h4>\n<p>\u76f8\u673a\u4f20\u611f\u5668\u8ba1\u7b97\u843d\u5728\u5fae\u5c0f\u63a2\u6d4b\u5668\u7f51\u683c\u4e0a\u7684\u5149\u5b50\u6570\u91cf\u3002\u6bcf\u4e2a\u63a2\u6d4b\u5668\u5728\u51e0\u5206\u4e4b\u4e00\u79d2\u5185\u79ef\u5206\u5149\u7ebf&#xff0c;\u5e76\u53d1\u51fa\u4e0e\u51fb\u4e2d\u5b83\u7684\u5149\u5b50\u6570\u6210\u6b63\u6bd4\u7684\u7535\u538b\u3002\u7136\u540e\u4f20\u611f\u5668\u5c06\u8be5\u7535\u538b\u79bb\u6563\u5316\u4e3a\u6574\u6570\u3002\u4e00\u4e2a\u63a2\u6d4b\u5668\u6210\u4e3a\u4e00\u4e2a\u50cf\u7d20\u3002<\/p>\n<p>Continuous scene                 Sensor grid                     Digital image<br \/>\n(infinite detail)                (H x W detectors)               (H x W integers)<\/p>\n<p>    ~~~~~                        &#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;                 210 198 180 155 120<br \/>\n   ~   ~   ~                     |  |  |  |  |  |                 205 195 178 152 118<br \/>\n  ~ light ~      &#8212;-&gt;           &#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;     &#8212;-&gt;       200 190 175 150 115<br \/>\n   ~~~~~                         |  |  |  |  |  |                 195 185 170 148 112<br \/>\n                                 &#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;&#8211;&#043;                 188 180 165 145 108<\/p>\n<p>\u5728\u8fd9\u4e00\u6b65\u4f1a\u505a\u51fa\u4e24\u4e2a\u9009\u62e9&#xff0c;\u5b83\u4eec\u51b3\u5b9a\u4e86\u6240\u6709\u4e0b\u6e38\u5904\u7406\u7684\u4e0a\u9650&#xff1a;<\/p>\n<ul>\n<li>\u7a7a\u95f4\u91c7\u6837 \u51b3\u5b9a\u573a\u666f\u6bcf\u5ea6\u6709\u591a\u5c11\u4e2a\u63a2\u6d4b\u5668\u3002\u592a\u5c11&#xff0c;\u8fb9\u7f18\u4f1a\u53d8\u5f97\u952f\u9f7f\u72b6&#xff08;\u6df7\u53e0&#xff09;\u3002\u592a\u591a&#xff0c;\u5b58\u50a8\u548c\u8ba1\u7b97\u91cf\u4f1a\u7206\u70b8\u3002<\/li>\n<li>\u5f3a\u5ea6\u91cf\u5316 \u51b3\u5b9a\u7535\u538b\u88ab\u5206\u6210\u591a\u7ec6\u7684\u6876\u30028 \u4f4d\u63d0\u4f9b 256 \u4e2a\u7ea7\u522b&#xff0c;\u662f\u663e\u793a\u7684\u6807\u51c6\u300210\u300112\u300116 \u4f4d\u63d0\u4f9b\u66f4\u5e73\u6ed1\u7684\u68af\u5ea6&#xff0c;\u5bf9\u533b\u5b66\u6210\u50cf\u3001HDR \u548c\u539f\u59cb\u4f20\u611f\u5668\u6d41\u6c34\u7ebf\u5f88\u91cd\u8981\u3002<\/li>\n<\/ul>\n<p>\u50cf\u7d20\u4e0d\u662f\u4e00\u4e2a\u6709\u9762\u79ef\u7684\u5f69\u8272\u65b9\u5757\u3002\u5b83\u662f\u4e00\u4e2a\u5355\u4e00\u7684\u6d4b\u91cf\u503c\u3002\u5f53\u4f60\u7f29\u653e\u6216\u65cb\u8f6c\u65f6&#xff0c;\u4f60\u662f\u5728\u91cd\u65b0\u91c7\u6837\u90a3\u4e2a\u6d4b\u91cf\u7f51\u683c\u3002<\/p>\n<h4>\u4e3a\u4ec0\u4e48\u662f\u4e09\u4e2a\u901a\u9053<\/h4>\n<p>\u4e00\u4e2a\u63a2\u6d4b\u5668\u5728\u6574\u4e2a\u53ef\u89c1\u5149\u8c31\u8303\u56f4\u5185\u8ba1\u6570\u5149\u5b50\u2014\u2014\u90a3\u5c31\u662f\u7070\u5ea6\u3002\u4e3a\u4e86\u83b7\u5f97\u989c\u8272&#xff0c;\u4f20\u611f\u5668\u7528\u7ea2\u3001\u7eff\u3001\u84dd\u6ee4\u955c\u7684\u9a6c\u8d5b\u514b\u8986\u76d6\u7f51\u683c\u3002\u53bb\u9a6c\u8d5b\u514b\u540e&#xff0c;\u6bcf\u4e2a\u7a7a\u95f4\u4f4d\u7f6e\u6709\u4e09\u4e2a\u6574\u6570&#xff1a;\u9644\u8fd1\u7ea2\u8272\u6ee4\u955c\u63a2\u6d4b\u5668\u3001\u7eff\u8272\u6ee4\u955c\u63a2\u6d4b\u5668\u548c\u84dd\u8272\u6ee4\u955c\u63a2\u6d4b\u5668\u7684\u54cd\u5e94\u3002\u8fd9\u4e09\u4e2a\u6574\u6570\u5c31\u662f\u50cf\u7d20\u7684 RGB \u4e09\u5143\u7ec4\u3002<\/p>\n<p>One pixel in memory:<\/p>\n<p>    (R, G, B) &#061; (210, 140, 30)   &lt;- reddish-orange<\/p>\n<p>An H x W RGB image:<\/p>\n<p>    shape (H, W, 3)     stored as   H rows of W pixels of 3 values<br \/>\n                                    each in [0, 255] for uint8<\/p>\n<p>\u4e09\u4e0d\u662f\u4ec0\u4e48\u795e\u5947\u7684\u6570\u5b57\u3002\u6df1\u5ea6\u76f8\u673a\u6dfb\u52a0 Z \u901a\u9053\u3002\u536b\u661f\u6dfb\u52a0\u7ea2\u5916\u548c\u7d2b\u5916\u6ce2\u6bb5\u3002\u533b\u5b66\u626b\u63cf\u901a\u5e38\u53ea\u6709\u4e00\u4e2a\u901a\u9053&#xff08;X\u5149\u3001CT&#xff09;\u6216\u5f88\u591a\u901a\u9053&#xff08;\u9ad8\u5149\u8c31&#xff09;\u3002\u901a\u9053\u6570\u662f\u6700\u540e\u4e00\u4e2a\u8f74&#xff1b;\u5377\u79ef\u5c42\u5b66\u4e60\u5728\u5b83\u4e0a\u9762\u8fdb\u884c\u6df7\u5408\u3002<\/p>\n<h4>\u4e24\u79cd\u5e03\u5c40\u7ea6\u5b9a&#xff1a;HWC \u548c CHW<\/h4>\n<p>\u540c\u4e00\u4e2a\u5f20\u91cf&#xff0c;\u4e24\u79cd\u6392\u5217\u65b9\u5f0f\u3002\u6bcf\u4e2a\u5e93\u9009\u62e9\u4e00\u79cd\u3002<\/p>\n<p>HWC (height, width, channels)           CHW (channels, height, width)<\/p>\n<p>   W -&gt;                                    H -&gt;<br \/>\n  &#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;                     &#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;<br \/>\nH |R G B|R G B|R G B|                   C |R R R R R R|<br \/>\n  &#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;                   | &#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;<br \/>\n  |R G B|R G B|R G B|                   v |G G G G G G|<br \/>\n  &#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;                     &#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;<br \/>\n                                          |B B B B B B|<br \/>\n                                          &#043;&#8212;&#8211;&#043;&#8212;&#8211;&#043;<\/p>\n<p>   PIL, OpenCV, matplotlib,              PyTorch, most deep learning<br \/>\n   almost every image file on disk       frameworks, cuDNN kernels<\/p>\n<p>CHW \u7684\u5b58\u5728\u662f\u56e0\u4e3a\u5377\u79ef\u6838\u5728 H \u548c W \u4e0a\u6ed1\u52a8\u3002\u5c06\u901a\u9053\u8f74\u653e\u5728\u524d\u9762\u610f\u5473\u7740\u6bcf\u4e2a\u6838\u5728\u6bcf\u4e2a\u901a\u9053\u4e0a\u770b\u5230\u4e00\u4e2a\u8fde\u7eed\u7684\u4e8c\u7ef4\u5e73\u9762&#xff0c;\u8fd9\u53ef\u4ee5\u5f88\u597d\u5730\u5411\u91cf\u5316\u3002\u78c1\u76d8\u683c\u5f0f\u4fdd\u6301 HWC \u662f\u56e0\u4e3a\u90a3\u4e0e\u4f20\u611f\u5668\u8f93\u51fa\u626b\u63cf\u7ebf\u7684\u65b9\u5f0f\u5339\u914d\u3002<\/p>\n<p>\u4f60\u4f1a\u6572\u4e00\u5343\u6b21\u7684\u4e00\u884c\u8f6c\u6362&#xff1a;<\/p>\n<p>img_chw &#061; img_hwc.transpose(2, 0, 1)      # NumPy<br \/>\nimg_chw &#061; img_hwc.permute(2, 0, 1)        # PyTorch 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circle,#mermaid-svg-4aZYKz0EFviScPPV .node ellipse,#mermaid-svg-4aZYKz0EFviScPPV .node polygon,#mermaid-svg-4aZYKz0EFviScPPV .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-4aZYKz0EFviScPPV .rough-node .label text,#mermaid-svg-4aZYKz0EFviScPPV .node .label text,#mermaid-svg-4aZYKz0EFviScPPV .image-shape .label,#mermaid-svg-4aZYKz0EFviScPPV .icon-shape .label{text-anchor:middle;}#mermaid-svg-4aZYKz0EFviScPPV .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-4aZYKz0EFviScPPV .rough-node .label,#mermaid-svg-4aZYKz0EFviScPPV .node .label,#mermaid-svg-4aZYKz0EFviScPPV .image-shape .label,#mermaid-svg-4aZYKz0EFviScPPV .icon-shape .label{text-align:center;}#mermaid-svg-4aZYKz0EFviScPPV .node.clickable{cursor:pointer;}#mermaid-svg-4aZYKz0EFviScPPV .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-4aZYKz0EFviScPPV .arrowheadPath{fill:#333333;}#mermaid-svg-4aZYKz0EFviScPPV .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-4aZYKz0EFviScPPV .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-4aZYKz0EFviScPPV .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-4aZYKz0EFviScPPV .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-4aZYKz0EFviScPPV .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-4aZYKz0EFviScPPV .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-4aZYKz0EFviScPPV .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-4aZYKz0EFviScPPV .cluster text{fill:#333;}#mermaid-svg-4aZYKz0EFviScPPV .cluster span{color:#333;}#mermaid-svg-4aZYKz0EFviScPPV div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid 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ms\\&#8221;,verdana,arial,sans-serif;}<span class=\"edgeLabel\"><\/p>\n<p>transpose(2, 0, 1)<\/p>\n<p><\/span><span class=\"edgeLabel\"><\/p>\n<p>transpose(1, 2, 0)<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>CHW \u2014 channels stored as stacked planes (PyTorch, cuDNN)<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>plane R: entire H x W of red values<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>plane G: entire H x W of green values<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>plane B: entire H x W of blue values<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>HWC \u2014 pixels stored interleaved (PIL, OpenCV, JPEG)<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>row 0: R G B | R G B | R G B &#8230;<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>row 1: R G B | R G B | R G B &#8230;<\/p>\n<p><\/span><span class=\"nodeLabel\"><\/p>\n<p>row 2: R G B | R G B | R G B &#8230;<\/p>\n<p><\/span><\/p>\n<h4>\u5b57\u8282\u8303\u56f4\u548c\u6570\u636e\u7c7b\u578b<\/h4>\n<p>\u4e09\u79cd\u7ea6\u5b9a\u5360\u4e3b\u5bfc\u5730\u4f4d&#xff1a;<\/p>\n<table>\n<tr>\u7ea6\u5b9adtype\u8303\u56f4\u4f60\u5728\u54ea\u91cc\u770b\u5230\u5b83<\/tr>\n<tbody>\n<tr>\n<td>\u539f\u59cb<\/td>\n<td>uint8<\/td>\n<td>[0, 255]<\/td>\n<td>\u78c1\u76d8\u4e0a\u7684\u6587\u4ef6\u3001PIL\u3001OpenCV \u8f93\u51fa<\/td>\n<\/tr>\n<tr>\n<td>\u5f52\u4e00\u5316<\/td>\n<td>float32<\/td>\n<td>[0.0, 1.0]<\/td>\n<td>\u6267\u884c img.astype(&#039;float32&#039;) \/ 255 \u4e4b\u540e<\/td>\n<\/tr>\n<tr>\n<td>\u6807\u51c6\u5316<\/td>\n<td>float32<\/td>\n<td>\u5927\u7ea6 [-2, &#043;2]<\/td>\n<td>\u51cf\u53bb\u5747\u503c\u5e76\u9664\u4ee5\u6807\u51c6\u5dee\u4e4b\u540e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5377\u79ef\u7f51\u7edc\u5728\u6807\u51c6\u5316\u8f93\u5165\u4e0a\u8bad\u7ec3\u3002ImageNet \u7edf\u8ba1\u91cf mean&#061;[0.485, 0.456, 0.406]\u3001std&#061;[0.229, 0.224, 0.225] \u662f\u5b8c\u6574 ImageNet \u8bad\u7ec3\u96c6\u4e09\u4e2a\u901a\u9053\u7684\u7b97\u672f\u5747\u503c\u548c\u6807\u51c6\u5dee&#xff0c;\u5728 [0, 1] \u5f52\u4e00\u5316\u50cf\u7d20\u4e0a\u8ba1\u7b97\u3002\u5c06\u539f\u59cb uint8 \u5582\u7ed9\u671f\u671b\u6807\u51c6\u5316\u6d6e\u70b9\u6570\u7684\u6a21\u578b\u662f\u5e94\u7528\u89c6\u89c9\u4e2d\u6700\u5e38\u89c1\u7684\u9759\u9ed8\u5931\u8d25\u3002<\/p>\n<h4>\u8272\u5f69\u7a7a\u95f4\u53ca\u5176\u5b58\u5728\u7684\u539f\u56e0<\/h4>\n<p>RGB \u662f\u6355\u83b7\u683c\u5f0f&#xff0c;\u4f46\u4e0d\u603b\u662f\u6a21\u578b\u6700\u6709\u7528\u7684\u8868\u793a\u3002<\/p>\n<p> RGB               HSV                       YCbCr \/ YUV<\/p>\n<p> R red             H hue (angle 0-360)       Y luminance (brightness)<br \/>\n G green           S saturation (0-1)        Cb chroma blue-yellow<br \/>\n B blue            V value\/brightness (0-1)  Cr chroma red-green<\/p>\n<p> Linear to         Separates color from      Separates brightness from<br \/>\n sensor output     brightness. Useful for    color. JPEG and most video<br \/>\n                   color thresholding, UI    codecs compress the chroma<br \/>\n                   sliders, simple filters   channels harder because the<br \/>\n                                             human eye is less sensitive<br \/>\n                                             to chroma detail than to Y.<\/p>\n<p>\u5bf9\u4e8e\u5927\u591a\u6570\u73b0\u4ee3 CNN&#xff0c;\u4f60\u5582\u5165 RGB\u3002\u4f60\u4f1a\u9047\u5230\u5176\u4ed6\u7a7a\u95f4\u7684\u60c5\u51b5&#xff1a;<\/p>\n<ul>\n<li>HSV \u2014 \u4f20\u7edf CV \u4ee3\u7801\u3001\u57fa\u4e8e\u989c\u8272\u7684\u5206\u5272\u3001\u767d\u5e73\u8861\u3002<\/li>\n<li>YCbCr \u2014 \u8bfb\u53d6 JPEG \u5185\u90e8\u7ed3\u6784\u3001\u89c6\u9891\u6d41\u6c34\u7ebf\u3001\u4ec5\u5728 Y \u4e0a\u64cd\u4f5c\u7684\u8d85\u5206\u8fa8\u7387\u6a21\u578b\u3002<\/li>\n<li>\u7070\u5ea6 \u2014 OCR\u3001\u6587\u6863\u6a21\u578b\u3001\u989c\u8272\u662f\u5e72\u6270\u53d8\u91cf\u800c\u975e\u4fe1\u53f7\u7684\u4efb\u4f55\u60c5\u51b5\u3002<\/li>\n<\/ul>\n<p>\u4ece RGB \u5230\u7070\u5ea6\u662f\u52a0\u6743\u548c&#xff0c;\u4e0d\u662f\u5e73\u5747\u503c&#xff0c;\u56e0\u4e3a\u4eba\u773c\u5bf9\u7eff\u8272\u6bd4\u5bf9\u7ea2\u8272\u6216\u84dd\u8272\u66f4\u654f\u611f&#xff1a;<\/p>\n<p>Y &#061; 0.299 R &#043; 0.587 G &#043; 0.114 B       (ITU-R BT.601, the classic weights)<\/p>\n<h4>\u5bbd\u9ad8\u6bd4\u3001\u7f29\u653e\u548c\u63d2\u503c<\/h4>\n<p>\u6bcf\u4e2a\u6a21\u578b\u90fd\u6709\u56fa\u5b9a\u7684\u8f93\u5165\u5c3a\u5bf8&#xff08;\u5927\u591a\u6570 ImageNet \u5206\u7c7b\u5668\u4e3a 224&#215;224&#xff0c;\u73b0\u4ee3\u68c0\u6d4b\u5668\u4e3a 384&#215;384 \u6216 512&#215;512&#xff09;\u3002\u4f60\u7684\u56fe\u50cf\u5f88\u5c11\u5339\u914d\u3002\u4e09\u79cd\u91cd\u8981\u7684\u7f29\u653e\u9009\u62e9&#xff1a;<\/p>\n<ul>\n<li>\u7f29\u653e\u77ed\u8fb9&#xff0c;\u7136\u540e\u4e2d\u5fc3\u88c1\u526a \u2014 \u6807\u51c6 ImageNet \u65b9\u6848\u3002\u4fdd\u6301\u5bbd\u9ad8\u6bd4&#xff0c;\u4e22\u5f03\u4e00\u6761\u8fb9\u7f18\u50cf\u7d20\u3002<\/li>\n<li>\u7f29\u653e\u5e76\u586b\u5145 \u2014 \u4fdd\u6301\u5bbd\u9ad8\u6bd4\u548c\u6bcf\u4e2a\u50cf\u7d20&#xff0c;\u6dfb\u52a0\u9ed1\u8fb9\u3002\u68c0\u6d4b\u548c OCR \u7684\u6807\u51c6\u505a\u6cd5\u3002<\/li>\n<li>\u76f4\u63a5\u7f29\u653e\u5230\u76ee\u6807\u5c3a\u5bf8 \u2014 \u62c9\u4f38\u56fe\u50cf\u3002\u4ee3\u4ef7\u4f4e&#xff0c;\u626d\u66f2\u51e0\u4f55&#xff0c;\u5bf9\u8bb8\u591a\u5206\u7c7b\u4efb\u52a1\u6765\u8bf4\u6ca1\u95ee\u9898\u3002<\/li>\n<\/ul>\n<p>\u63d2\u503c\u65b9\u6cd5\u51b3\u5b9a\u5f53\u65b0\u7f51\u683c\u4e0e\u65e7\u7f51\u683c\u4e0d\u5bf9\u9f50\u65f6\u5982\u4f55\u8ba1\u7b97\u4e2d\u95f4\u50cf\u7d20&#xff1a;<\/p>\n<p>Nearest neighbour     fastest, blocky, only choice for masks\/labels<br \/>\nBilinear              fast, smooth, default for most image resizing<br \/>\nBicubic               slower, sharper on upscaling<br \/>\nLanczos               slowest, best quality, used for final display<\/p>\n<p>\u7ecf\u9a8c\u6cd5\u5219&#xff1a;\u8bad\u7ec3\u7528 bilinear&#xff0c;\u9700\u8981\u67e5\u770b\u7684\u8d44\u6e90\u7528 bicubic \u6216 lanczos&#xff0c;\u5305\u542b\u6574\u6570\u7c7b ID \u7684\u4efb\u4f55\u5185\u5bb9\u7528 nearest\u3002<\/p>\n<h3>\u52a8\u624b\u6784\u5efa<\/h3>\n<h4>\u7b2c 1 \u6b65&#xff1a;\u52a0\u8f7d\u56fe\u50cf\u5e76\u68c0\u67e5\u5176\u5f62\u72b6<\/h4>\n<p>\u4f7f\u7528 Pillow \u52a0\u8f7d\u4efb\u610f JPEG \u6216 PNG&#xff0c;\u8f6c\u6362\u4e3a NumPy&#xff0c;\u5e76\u6253\u5370\u4f60\u5f97\u5230\u7684\u5185\u5bb9\u3002\u5bf9\u4e8e\u53ef\u79bb\u7ebf\u8fd0\u884c\u7684\u786e\u5b9a\u6027\u793a\u4f8b&#xff0c;\u53ef\u4ee5\u5408\u6210\u4e00\u4e2a\u3002<\/p>\n<p><span class=\"token keyword\">import<\/span> numpy <span class=\"token keyword\">as<\/span> np<br \/>\n<span class=\"token keyword\">from<\/span> PIL <span class=\"token keyword\">import<\/span> Image<\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">synthetic_rgb<\/span><span class=\"token punctuation\">(<\/span>h<span class=\"token operator\">&#061;<\/span><span class=\"token number\">128<\/span><span class=\"token punctuation\">,<\/span> w<span class=\"token operator\">&#061;<\/span><span class=\"token number\">192<\/span><span class=\"token punctuation\">,<\/span> seed<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    rng <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>random<span class=\"token punctuation\">.<\/span>default_rng<span class=\"token punctuation\">(<\/span>seed<span class=\"token punctuation\">)<\/span><br \/>\n    yy<span class=\"token punctuation\">,<\/span> xx <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>meshgrid<span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>linspace<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> h<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> np<span class=\"token punctuation\">.<\/span>linspace<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> w<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> indexing<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;ij&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    r <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>sin<span class=\"token punctuation\">(<\/span>xx <span class=\"token operator\">*<\/span> <span class=\"token number\">6<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">0.5<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token number\">0.5<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">255<\/span><br \/>\n    g <span class=\"token operator\">&#061;<\/span> yy <span class=\"token operator\">*<\/span> <span class=\"token number\">255<\/span><br \/>\n    b <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span> <span class=\"token operator\">&#8211;<\/span> yy<span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> xx <span class=\"token operator\">*<\/span> <span class=\"token number\">255<\/span><br \/>\n    rgb <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>stack<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span>r<span class=\"token punctuation\">,<\/span> g<span class=\"token punctuation\">,<\/span> b<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> axis<span class=\"token operator\">&#061;<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#043;<\/span> rng<span class=\"token punctuation\">.<\/span>normal<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">6<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span>h<span class=\"token punctuation\">,<\/span> w<span class=\"token punctuation\">,<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> np<span class=\"token punctuation\">.<\/span>clip<span class=\"token punctuation\">(<\/span>rgb<span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">255<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>uint8<span class=\"token punctuation\">)<\/span><\/p>\n<p>arr <span class=\"token operator\">&#061;<\/span> synthetic_rgb<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token comment\"># Or load from disk:<\/span><br \/>\n<span class=\"token comment\"># arr &#061; np.asarray(Image.open(&#034;your_image.jpg&#034;).convert(&#034;RGB&#034;))<\/span><\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;type:   <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token builtin\">type<\/span><span class=\"token punctuation\">(<\/span>arr<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>__name__<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;dtype:  <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>arr<span class=\"token punctuation\">.<\/span>dtype<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;shape:  <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>arr<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">     # (H, W, C)&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;min:    <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>arr<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">min<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;max:    <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>arr<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;pixel at (0, 0): <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>arr<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u9884\u671f\u8f93\u51fa&#xff1a;shape: (H, W, 3)\u3001dtype: uint8\u3001\u8303\u56f4 [0, 255]\u3002\u8fd9\u662f\u89c4\u8303\u7684\u672c\u78c1\u76d8\u4e0a\u8868\u793a&#xff0c;\u65e0\u8bba\u5b57\u8282\u6765\u81ea\u76f8\u673a\u3001JPEG \u89e3\u7801\u5668\u8fd8\u662f\u5408\u6210\u751f\u6210\u5668\u3002<\/p>\n<h4>\u7b2c 2 \u6b65&#xff1a;\u5206\u79bb\u901a\u9053\u5e76\u91cd\u6392\u5e03\u5c40<\/h4>\n<p>\u5206\u522b\u63d0\u53d6 R\u3001G\u3001B&#xff0c;\u7136\u540e\u5c06 HWC \u8f6c\u6362\u4e3a CHW \u4ee5\u4f9b PyTorch \u4f7f\u7528\u3002<\/p>\n<p>R <span class=\"token operator\">&#061;<\/span> arr<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><br \/>\nG <span class=\"token operator\">&#061;<\/span> arr<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><br \/>\nB <span class=\"token operator\">&#061;<\/span> arr<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;R shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>R<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, mean: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>R<span class=\"token punctuation\">.<\/span>mean<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.1f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;G shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>G<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, mean: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>G<span class=\"token punctuation\">.<\/span>mean<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.1f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;B shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>B<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, mean: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>B<span class=\"token punctuation\">.<\/span>mean<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.1f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>arr_chw <span class=\"token operator\">&#061;<\/span> arr<span class=\"token punctuation\">.<\/span>transpose<span class=\"token punctuation\">(<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\\\\nHWC shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>arr<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;CHW shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>arr_chw<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u4e09\u4e2a\u7070\u5ea6\u5e73\u9762&#xff0c;\u6bcf\u4e2a\u901a\u9053\u4e00\u4e2a\u3002CHW \u53ea\u662f\u91cd\u65b0\u6392\u5217\u8f74&#xff1b;\u5f53\u5185\u5b58\u5e03\u5c40\u5141\u8bb8\u65f6&#xff0c;\u4e25\u683c\u6765\u8bf4\u4e0d\u9700\u8981\u6570\u636e\u590d\u5236\u3002<\/p>\n<h4>\u7b2c 3 \u6b65&#xff1a;\u7070\u5ea6\u548c HSV \u8f6c\u6362<\/h4>\n<p>\u52a0\u6743\u548c\u7070\u5ea6&#xff0c;\u7136\u540e\u624b\u52a8\u4ece RGB \u8f6c HSV\u3002<\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">rgb_to_grayscale<\/span><span class=\"token punctuation\">(<\/span>rgb<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    weights <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>array<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0.299<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.587<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.114<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> dtype<span class=\"token operator\">&#061;<\/span>np<span class=\"token punctuation\">.<\/span>float32<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">(<\/span>rgb<span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>float32<span class=\"token punctuation\">)<\/span> &#064; weights<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>uint8<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">rgb_to_hsv<\/span><span class=\"token punctuation\">(<\/span>rgb<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    rgb_f <span class=\"token operator\">&#061;<\/span> rgb<span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>float32<span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">255.0<\/span><br \/>\n    r<span class=\"token punctuation\">,<\/span> g<span class=\"token punctuation\">,<\/span> b <span class=\"token operator\">&#061;<\/span> rgb_f<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> rgb_f<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> rgb_f<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><br \/>\n    cmax <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span>rgb_f<span class=\"token punctuation\">,<\/span> axis<span class=\"token operator\">&#061;<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    cmin <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">min<\/span><span class=\"token punctuation\">(<\/span>rgb_f<span class=\"token punctuation\">,<\/span> axis<span class=\"token operator\">&#061;<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    delta <span class=\"token operator\">&#061;<\/span> cmax <span class=\"token operator\">&#8211;<\/span> cmin<\/p>\n<p>    h <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>zeros_like<span class=\"token punctuation\">(<\/span>cmax<span class=\"token punctuation\">)<\/span><br \/>\n    mask <span class=\"token operator\">&#061;<\/span> delta <span class=\"token operator\">&gt;<\/span> <span class=\"token number\">0<\/span><br \/>\n    rmax <span class=\"token operator\">&#061;<\/span> mask <span class=\"token operator\">&amp;<\/span> <span class=\"token punctuation\">(<\/span>cmax <span class=\"token operator\">&#061;&#061;<\/span> r<span class=\"token punctuation\">)<\/span><br \/>\n    gmax <span class=\"token operator\">&#061;<\/span> mask <span class=\"token operator\">&amp;<\/span> <span class=\"token punctuation\">(<\/span>cmax <span class=\"token operator\">&#061;&#061;<\/span> g<span class=\"token punctuation\">)<\/span><br \/>\n    bmax <span class=\"token operator\">&#061;<\/span> mask <span class=\"token operator\">&amp;<\/span> <span class=\"token punctuation\">(<\/span>cmax <span class=\"token operator\">&#061;&#061;<\/span> b<span class=\"token punctuation\">)<\/span><br \/>\n    h<span class=\"token punctuation\">[<\/span>rmax<span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">(<\/span>g<span class=\"token punctuation\">[<\/span>rmax<span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#8211;<\/span> b<span class=\"token punctuation\">[<\/span>rmax<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> delta<span class=\"token punctuation\">[<\/span>rmax<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">%<\/span> <span class=\"token number\">6<\/span><br \/>\n    h<span class=\"token punctuation\">[<\/span>gmax<span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">(<\/span>b<span class=\"token punctuation\">[<\/span>gmax<span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#8211;<\/span> r<span class=\"token punctuation\">[<\/span>gmax<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> delta<span class=\"token punctuation\">[<\/span>gmax<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token number\">2<\/span><br \/>\n    h<span class=\"token punctuation\">[<\/span>bmax<span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">(<\/span>r<span class=\"token punctuation\">[<\/span>bmax<span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#8211;<\/span> g<span class=\"token punctuation\">[<\/span>bmax<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> delta<span class=\"token punctuation\">[<\/span>bmax<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token number\">4<\/span><br \/>\n    h <span class=\"token operator\">&#061;<\/span> h <span class=\"token operator\">*<\/span> <span class=\"token number\">60.0<\/span><\/p>\n<p>    s <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>where<span class=\"token punctuation\">(<\/span>cmax <span class=\"token operator\">&gt;<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> delta <span class=\"token operator\">\/<\/span> cmax<span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    v <span class=\"token operator\">&#061;<\/span> cmax<br \/>\n    <span class=\"token keyword\">return<\/span> np<span class=\"token punctuation\">.<\/span>stack<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span>h<span class=\"token punctuation\">,<\/span> s<span class=\"token punctuation\">,<\/span> v<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> axis<span class=\"token operator\">&#061;<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>gray <span class=\"token operator\">&#061;<\/span> rgb_to_grayscale<span class=\"token punctuation\">(<\/span>arr<span class=\"token punctuation\">)<\/span><br \/>\nhsv <span class=\"token operator\">&#061;<\/span> rgb_to_hsv<span class=\"token punctuation\">(<\/span>arr<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;gray shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>gray<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, range: [<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>gray<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">min<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>gray<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">]&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;hsv   shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>hsv<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;hue range: [<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>hsv<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">min<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.1f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>hsv<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.1f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">] degrees&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;sat range: [<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>hsv<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">min<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>hsv<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">]&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;val range: [<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>hsv<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">min<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>hsv<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">]&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u8272\u8c03\u4ee5\u5ea6\u4e3a\u5355\u4f4d\u8f93\u51fa&#xff0c;\u9971\u548c\u5ea6\u548c\u660e\u5ea6\u5728 [0, 1] \u8303\u56f4\u5185\u3002\u8fd9\u4e0e OpenCV \u7684 hsv_full \u7ea6\u5b9a\u4e00\u81f4\u3002<\/p>\n<h4>\u7b2c 4 \u6b65&#xff1a;\u5f52\u4e00\u5316\u3001\u6807\u51c6\u5316\u53ca\u5176\u9006\u5411\u64cd\u4f5c<\/h4>\n<p>\u4ece\u539f\u59cb\u5b57\u8282\u5230\u9884\u8bad\u7ec3 ImageNet \u6a21\u578b\u671f\u671b\u7684\u7cbe\u786e\u5f20\u91cf&#xff0c;\u7136\u540e\u518d\u8f6c\u56de\u6765\u3002<\/p>\n<p>mean <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>array<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0.485<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.456<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.406<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> dtype<span class=\"token operator\">&#061;<\/span>np<span class=\"token punctuation\">.<\/span>float32<span class=\"token punctuation\">)<\/span><br \/>\nstd <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>array<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0.229<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.224<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.225<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> dtype<span class=\"token operator\">&#061;<\/span>np<span class=\"token punctuation\">.<\/span>float32<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">preprocess_imagenet<\/span><span class=\"token punctuation\">(<\/span>rgb_uint8<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    x <span class=\"token operator\">&#061;<\/span> rgb_uint8<span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>float32<span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">255.0<\/span><br \/>\n    x <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span>x <span class=\"token operator\">&#8211;<\/span> mean<span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> std<br \/>\n    x <span class=\"token operator\">&#061;<\/span> x<span class=\"token punctuation\">.<\/span>transpose<span class=\"token punctuation\">(<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> x<\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">deprocess_imagenet<\/span><span class=\"token punctuation\">(<\/span>chw_float32<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    x <span class=\"token operator\">&#061;<\/span> chw_float32<span class=\"token punctuation\">.<\/span>transpose<span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    x <span class=\"token operator\">&#061;<\/span> x <span class=\"token operator\">*<\/span> std <span class=\"token operator\">&#043;<\/span> mean<br \/>\n    x <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>clip<span class=\"token punctuation\">(<\/span>x <span class=\"token operator\">*<\/span> <span class=\"token number\">255.0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">255<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>uint8<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> x<\/p>\n<p>x <span class=\"token operator\">&#061;<\/span> preprocess_imagenet<span class=\"token punctuation\">(<\/span>arr<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;preprocessed shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>x<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">     # (C, H, W)&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;preprocessed dtype: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>x<span class=\"token punctuation\">.<\/span>dtype<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;preprocessed mean per channel:  <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>x<span class=\"token punctuation\">.<\/span>mean<span class=\"token punctuation\">(<\/span>axis<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;preprocessed std  per channel:  <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>x<span class=\"token punctuation\">.<\/span>std<span class=\"token punctuation\">(<\/span>axis<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>roundtrip <span class=\"token operator\">&#061;<\/span> deprocess_imagenet<span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">)<\/span><br \/>\nmax_diff <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">abs<\/span><span class=\"token punctuation\">(<\/span>roundtrip<span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span><span class=\"token builtin\">int<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#8211;<\/span> arr<span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span><span class=\"token builtin\">int<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;roundtrip max pixel diff: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>max_diff<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">    # should be 0 or 1&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u6bcf\u901a\u9053\u5747\u503c\u5e94\u63a5\u8fd1\u96f6&#xff0c;\u6807\u51c6\u5dee\u63a5\u8fd1\u4e00\u3002preprocess\/deprocess \u5bf9\u6b63\u662f\u6bcf\u4e2a torchvision transforms.Normalize \u8c03\u7528\u5728\u5e95\u5c42\u6240\u505a\u7684\u4e8b\u60c5\u3002<\/p>\n<h4>\u7b2c 5 \u6b65&#xff1a;\u7528\u4e09\u79cd\u63d2\u503c\u65b9\u6cd5\u7f29\u653e<\/h4>\n<p>\u5728\u653e\u5927\u65f6\u6bd4\u8f83\u6700\u8fd1\u90bb\u3001\u53cc\u7ebf\u6027\u548c\u53cc\u4e09\u6b21&#xff0c;\u4f7f\u5dee\u5f02\u53ef\u89c1\u3002<\/p>\n<p>target <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span>arr<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span> arr<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>nearest <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>asarray<span class=\"token punctuation\">(<\/span>Image<span class=\"token punctuation\">.<\/span>fromarray<span class=\"token punctuation\">(<\/span>arr<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>resize<span class=\"token punctuation\">(<\/span>target<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">:<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> Image<span class=\"token punctuation\">.<\/span>NEAREST<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nbilinear <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>asarray<span class=\"token punctuation\">(<\/span>Image<span class=\"token punctuation\">.<\/span>fromarray<span class=\"token punctuation\">(<\/span>arr<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>resize<span class=\"token punctuation\">(<\/span>target<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">:<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> Image<span class=\"token punctuation\">.<\/span>BILINEAR<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nbicubic <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>asarray<span class=\"token punctuation\">(<\/span>Image<span class=\"token punctuation\">.<\/span>fromarray<span class=\"token punctuation\">(<\/span>arr<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>resize<span class=\"token punctuation\">(<\/span>target<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token punctuation\">:<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> Image<span class=\"token punctuation\">.<\/span>BICUBIC<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">local_roughness<\/span><span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    gy <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>diff<span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span><span class=\"token builtin\">float<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> axis<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    gx <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>diff<span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span><span class=\"token builtin\">float<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> axis<span class=\"token operator\">&#061;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> <span class=\"token builtin\">float<\/span><span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">abs<\/span><span class=\"token punctuation\">(<\/span>gy<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>mean<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#043;<\/span> np<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">abs<\/span><span class=\"token punctuation\">(<\/span>gx<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>mean<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> name<span class=\"token punctuation\">,<\/span> out <span class=\"token keyword\">in<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;nearest&#034;<\/span><span class=\"token punctuation\">,<\/span> nearest<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;bilinear&#034;<\/span><span class=\"token punctuation\">,<\/span> bilinear<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;bicubic&#034;<\/span><span class=\"token punctuation\">,<\/span> bicubic<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>name<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">&gt;8<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">  shape&#061;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>out<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">  roughness&#061;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>local_roughness<span class=\"token punctuation\">(<\/span>out<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">6.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u6700\u8fd1\u90bb\u5728\u7c97\u7cd9\u5ea6\u4e0a\u5f97\u5206\u6700\u9ad8&#xff0c;\u56e0\u4e3a\u5b83\u4fdd\u7559\u4e86\u786c\u8fb9\u7f18\u3002\u53cc\u7ebf\u6027\u6700\u5e73\u6ed1\u3002\u53cc\u4e09\u6b21\u4ecb\u4e8e\u4e24\u8005\u4e4b\u95f4&#xff0c;\u5728\u4e0d\u4ea7\u751f\u9636\u68af\u4f2a\u5f71\u7684\u60c5\u51b5\u4e0b\u4fdd\u7559\u611f\u77e5\u9510\u5ea6\u3002<\/p>\n<h3>\u5b9e\u9645\u5e94\u7528<\/h3>\n<p>torchvision.transforms \u5c06\u4e0a\u8ff0\u6240\u6709\u5185\u5bb9\u6253\u5305\u6210\u4e00\u4e2a\u53ef\u7ec4\u5408\u7684\u6d41\u6c34\u7ebf\u3002\u4ee5\u4e0b\u4ee3\u7801\u7cbe\u786e\u590d\u73b0\u4e86 preprocess_imagenet \u7684\u529f\u80fd&#xff0c;\u52a0\u4e0a\u7f29\u653e\u548c\u88c1\u526a\u3002<\/p>\n<p><span class=\"token keyword\">import<\/span> torch<br \/>\n<span class=\"token keyword\">from<\/span> torchvision <span class=\"token keyword\">import<\/span> transforms<br \/>\n<span class=\"token keyword\">from<\/span> PIL <span class=\"token keyword\">import<\/span> Image<\/p>\n<p>img <span class=\"token operator\">&#061;<\/span> Image<span class=\"token punctuation\">.<\/span>fromarray<span class=\"token punctuation\">(<\/span>synthetic_rgb<span class=\"token punctuation\">(<\/span><span class=\"token number\">256<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">256<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>pipeline <span class=\"token operator\">&#061;<\/span> transforms<span class=\"token punctuation\">.<\/span>Compose<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><br \/>\n    transforms<span class=\"token punctuation\">.<\/span>Resize<span class=\"token punctuation\">(<\/span><span class=\"token number\">256<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    transforms<span class=\"token punctuation\">.<\/span>CenterCrop<span class=\"token punctuation\">(<\/span><span class=\"token number\">224<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    transforms<span class=\"token punctuation\">.<\/span>ToTensor<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    transforms<span class=\"token punctuation\">.<\/span>Normalize<span class=\"token punctuation\">(<\/span>mean<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0.485<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.456<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.406<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> std<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0.229<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.224<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.225<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>x <span class=\"token operator\">&#061;<\/span> pipeline<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;tensor type:  <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token builtin\">type<\/span><span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>__name__<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;tensor dtype: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>x<span class=\"token punctuation\">.<\/span>dtype<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;tensor shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token builtin\">tuple<\/span><span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">      # (C, H, W)&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;per-channel mean: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>x<span class=\"token punctuation\">.<\/span>mean<span class=\"token punctuation\">(<\/span>dim<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>tolist<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;per-channel std:  <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>x<span class=\"token punctuation\">.<\/span>std<span class=\"token punctuation\">(<\/span>dim<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>tolist<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>batch <span class=\"token operator\">&#061;<\/span> x<span class=\"token punctuation\">.<\/span>unsqueeze<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\\\\nbatched shape: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token builtin\">tuple<\/span><span class=\"token punctuation\">(<\/span>batch<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">   # (N, C, H, W) \u2014 ready for a model&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u56db\u6b65&#xff0c;\u4e25\u683c\u6309\u7167\u6b64\u987a\u5e8f&#xff1a;Resize(256) \u5c06\u8f83\u77ed\u8fb9\u7f29\u653e\u5230 256&#xff1b;CenterCrop(224) \u4ece\u4e2d\u95f4\u53d6 224&#215;224 \u7684\u8865\u4e01&#xff1b;ToTensor() \u9664\u4ee5 255 \u5e76\u5c06 HWC \u8f6c\u6362\u4e3a CHW&#xff1b;Normalize \u51cf\u53bb ImageNet \u5747\u503c\u5e76\u9664\u4ee5\u6807\u51c6\u5dee\u3002\u98a0\u5012\u8be5\u987a\u5e8f\u4f1a\u9759\u9ed8\u5730\u6539\u53d8\u5230\u8fbe\u6a21\u578b\u7684\u5185\u5bb9\u3002<\/p>\n<h3>\u4ea4\u4ed8\u7269<\/h3>\n<p>\u672c\u8bfe\u4ea7\u751f&#xff1a;<\/p>\n<ul>\n<li>outputs\/prompt-vision-preprocessing-audit.md \u2014 \u4e00\u4e2a\u63d0\u793a&#xff0c;\u53ef\u5c06\u4efb\u4f55\u6a21\u578b\u5361\u6216\u6570\u636e\u96c6\u5361\u8f6c\u5316\u4e3a\u56e2\u961f\u5fc5\u987b\u9075\u5b88\u7684\u7cbe\u786e\u9884\u5904\u7406\u4e0d\u53d8\u91cf\u68c0\u67e5\u6e05\u5355\u3002<\/li>\n<li>outputs\/skill-image-tensor-inspector.md \u2014 \u4e00\u4e2a\u6280\u80fd&#xff0c;\u7ed9\u5b9a\u4efb\u4f55\u56fe\u50cf\u5f62\u72b6\u7684\u5f20\u91cf\u6216\u6570\u7ec4&#xff0c;\u62a5\u544a dtype\u3001\u5e03\u5c40\u3001\u8303\u56f4&#xff0c;\u4ee5\u53ca\u5b83\u770b\u8d77\u6765\u662f\u539f\u59cb\u7684\u3001\u5f52\u4e00\u5316\u7684\u8fd8\u662f\u6807\u51c6\u5316\u7684\u3002<\/li>\n<\/ul>\n<h3>\u7ec3\u4e60<\/h3>\n<li>&#xff08;\u7b80\u5355&#xff09; \u7528 OpenCV&#xff08;cv2.imread&#xff09;\u548c Pillow \u5206\u522b\u52a0\u8f7d\u4e00\u4e2a JPEG\u3002\u6253\u5370\u4e24\u8005\u7684\u5f62\u72b6\u548c (0, 0) \u5904\u7684\u50cf\u7d20\u3002\u89e3\u91ca\u901a\u9053\u987a\u5e8f\u7684\u5dee\u5f02&#xff0c;\u7136\u540e\u5199\u4e00\u884c\u8f6c\u6362\u4f7f OpenCV \u6570\u7ec4\u4e0e Pillow \u6570\u7ec4\u76f8\u540c\u3002<\/li>\n<li>&#xff08;\u4e2d\u7b49&#xff09; \u7f16\u5199 standardize(img, mean, std) \u53ca\u5176\u9006\u51fd\u6570&#xff0c;\u4e24\u8005\u8054\u5408\u5728\u4efb\u610f uint8 \u56fe\u50cf\u4e0a\u901a\u8fc7 roundtrip_max_diff &lt;&#061; 1 \u6d4b\u8bd5\u3002\u4f60\u7684\u51fd\u6570\u5fc5\u987b\u5728\u540c\u4e00\u6b21\u8c03\u7528\u4e2d\u65e2\u9002\u7528\u4e8e HWC \u7684\u5355\u5f20\u56fe\u50cf&#xff0c;\u4e5f\u9002\u7528\u4e8e NCHW \u7684\u6279\u6b21\u3002<\/li>\n<li>&#xff08;\u56f0\u96be&#xff09; \u53d6\u4e00\u4e2a 3 \u901a\u9053 ImageNet \u6807\u51c6\u5316\u5f20\u91cf&#xff0c;\u901a\u8fc7\u4e00\u4e2a 1&#215;1 \u5377\u79ef\u8fd0\u884c&#xff0c;\u8be5\u5377\u79ef\u5b66\u4e60 RGB \u5230\u5355\u4e2a\u7070\u5ea6\u901a\u9053\u7684\u52a0\u6743\u548c\u3002\u5c06\u6743\u91cd\u521d\u59cb\u5316\u4e3a [0.299, 0.587, 0.114]&#xff0c;\u51bb\u7ed3\u5b83\u4eec&#xff0c;\u5e76\u9a8c\u8bc1\u8f93\u51fa\u4e0e\u624b\u52a8 rgb_to_grayscale \u5728\u6d6e\u70b9\u8bef\u5dee\u8303\u56f4\u5185\u5339\u914d\u3002\u8fd8\u6709\u54ea\u4e9b\u7ecf\u5178\u8272\u5f69\u7a7a\u95f4\u53d8\u6362\u53ef\u4ee5\u5199\u6210 1&#215;1 \u5377\u79ef&#xff1f;<\/li>\n<h3>\u5173\u952e\u672f\u8bed<\/h3>\n<table>\n<tr>\u672f\u8bed\u4eba\u4eec\u5e38\u8bf4\u7684\u5b9e\u9645\u542b\u4e49<\/tr>\n<tbody>\n<tr>\n<td>\u50cf\u7d20<\/td>\n<td>\u201c\u4e00\u4e2a\u5f69\u8272\u65b9\u5757\u201d<\/td>\n<td>\u4e00\u4e2a\u7f51\u683c\u4f4d\u7f6e\u4e0a\u5149\u5f3a\u5ea6\u7684\u4e00\u6b21\u91c7\u6837\u2014\u2014\u5f69\u8272\u65f6\u4e09\u4e2a\u6570\u5b57&#xff0c;\u7070\u5ea6\u65f6\u4e00\u4e2a<\/td>\n<\/tr>\n<tr>\n<td>\u901a\u9053<\/td>\n<td>\u201c\u989c\u8272\u201d<\/td>\n<td>\u5806\u53e0\u5230\u56fe\u50cf\u5f20\u91cf\u4e2d\u7684\u5e73\u884c\u7a7a\u95f4\u7f51\u683c\u4e4b\u4e00&#xff1b;HWC \u4e2d\u4e3a\u6700\u540e\u4e00\u4e2a\u8f74&#xff0c;CHW \u4e2d\u4e3a\u7b2c\u4e00\u4e2a<\/td>\n<\/tr>\n<tr>\n<td>HWC \/ CHW<\/td>\n<td>\u201c\u5f62\u72b6\u201d<\/td>\n<td>\u56fe\u50cf\u5f20\u91cf\u7684\u8f74\u987a\u5e8f&#xff1b;\u78c1\u76d8\u548c PIL \u4f7f\u7528 HWC&#xff0c;PyTorch \u548c cuDNN \u4f7f\u7528 CHW<\/td>\n<\/tr>\n<tr>\n<td>\u5f52\u4e00\u5316<\/td>\n<td>\u201c\u7f29\u653e\u56fe\u50cf\u201d<\/td>\n<td>\u9664\u4ee5 255 \u4f7f\u50cf\u7d20\u843d\u5728 [0, 1] \u2014 \u5fc5\u8981\u4f46\u4e0d\u5145\u5206<\/td>\n<\/tr>\n<tr>\n<td>\u6807\u51c6\u5316<\/td>\n<td>\u201c\u96f6\u4e2d\u5fc3\u5316\u201d<\/td>\n<td>\u6309\u901a\u9053\u51cf\u53bb\u5747\u503c\u5e76\u9664\u4ee5\u6807\u51c6\u5dee&#xff0c;\u4f7f\u8f93\u5165\u5206\u5e03\u4e0e\u6a21\u578b\u8bad\u7ec3\u65f6\u7684\u5339\u914d<\/td>\n<\/tr>\n<tr>\n<td>\u7070\u5ea6\u8f6c\u6362<\/td>\n<td>\u201c\u5bf9\u901a\u9053\u53d6\u5e73\u5747\u201d<\/td>\n<td>\u7cfb\u6570\u4e3a 0.299\/0.587\/0.114 \u7684\u52a0\u6743\u548c&#xff0c;\u5339\u914d\u4eba\u773c\u4eae\u5ea6\u611f\u77e5<\/td>\n<\/tr>\n<tr>\n<td>\u63d2\u503c<\/td>\n<td>\u201c\u7f29\u653e\u5982\u4f55\u9009\u53d6\u50cf\u7d20\u201d<\/td>\n<td>\u5f53\u65b0\u7f51\u683c\u4e0e\u65e7\u7f51\u683c\u4e0d\u5bf9\u9f50\u65f6\u51b3\u5b9a\u8f93\u51fa\u503c\u7684\u89c4\u5219\u2014\u2014\u6807\u7b7e\u7528 nearest&#xff0c;\u8bad\u7ec3\u7528 bilinear&#xff0c;\u663e\u793a\u7528 bicubic<\/td>\n<\/tr>\n<tr>\n<td>\u5bbd\u9ad8\u6bd4<\/td>\n<td>\u201c\u5bbd\u5ea6\u9664\u4ee5\u9ad8\u5ea6\u201d<\/td>\n<td>\u533a\u5206&#034;\u7f29\u653e\u5e76\u586b\u5145&#034;\u548c&#034;\u7f29\u653e\u5e76\u62c9\u4f38&#034;\u7684\u6bd4\u7387<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>\u8ba1\u7b97\u673a\u89c6\u89c901&#xff1a;\u56fe\u50cf\u57fa\u7840 \u2014 \u50cf\u7d20\u3001\u901a\u9053\u3001\u8272\u5f69\u7a7a\u95f4\u56fe\u50cf\u662f\u5149\u6837\u672c\u7684\u5f20\u91cf\u3002\u4f60\u5c06\u4f7f\u7528\u7684\u6bcf\u4e00\u4e2a\u89c6\u89c9\u6a21\u578b\u90fd\u4ece\u8fd9\u4e2a\u4e8b\u5b9e\u51fa\u53d1\u3002\u5b66\u4e60\u76ee\u6807<br \/>\n\u89e3\u91ca\u8fde\u7eed\u573a\u666f\u5982\u4f55\u88ab\u79bb\u6563\u5316\u4e3a\u50cf\u7d20&#xff0c;\u4ee5\u53ca\u4e3a\u4ec0\u4e48\u91c7\u6837\/\u91cf\u5316\u51b3\u7b56\u51b3\u5b9a\u4e86\u6240\u6709\u4e0b\u6e38\u6a21\u578b\u7684\u4e0a\u9650\u4ee5 NumPy \u6570\u7ec4\u7684\u5f62\u5f0f\u8bfb\u53d6\u3001\u5207\u7247\u548c\u68c0\u67e5\u56fe\u50cf&#xff0c;\u5e76\u5728 HWC \u548c CHW \u5e03\u5c40\u4e4b\u95f4\u81ea\u5982\u5207\u6362\u5728 RGB\u3001\u7070\u5ea6\u3001HSV \u548c YCbCr \u4e4b\u95f4\u8fdb\u884c\u8f6c\u6362&#xff0c;\u5e76\u89e3\u91ca\u6bcf\u79cd\u8272\u5f69\u7a7a\u95f4\u5b58\u5728\u7684\u539f\u56e0\u6309\u7167 torchvision 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