Loading images in Python: audit each path and label

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<html lang="en-US"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1"><title>Loading images in Python: audit each path and label</title><style>:root{--paper:#101b27;--ink:#e8f2ff;--accent:#8ec9f4;--surface:#172638;--border:#3c5064;--wash:#20374b;--muted:#b8cadb;--title:system-ui,sans-serif;--radius:7px;--buttonText:#102032}*{box-sizing:border-box}body{margin:0;background:var(--paper);color:var(--ink);font:17px/1.65 system-ui,sans-serif}main{max-width:980px;margin:auto;padding:24px 26px 48px}header{margin-bottom:20px;border-bottom:2px solid var(--accent);padding-bottom:16px}h1{font:700 clamp(28px,5vw,42px)/1.18 var(--title);margin:0 0 10px;letter-spacing:-.025em}h2{font-size:23px;line-height:1.35;margin:24px 0 12px}h3{font-size:19px}p{margin:0 0 16px}.eyebrow{font-size:16px;color:var(--accent);font-weight:700;margin:0 0 5px}.grid{display:grid;grid-template-columns:repeat(2,minmax(0,1fr));gap:22px}.panel{background:var(--surface);border:1px solid var(--border);border-radius:var(--radius);padding:22px;min-width:0;margin-bottom:20px}label{display:block;font-weight:650;margin-bottom:14px}input,textarea,select{display:block;font:inherit;line-height:1.5;width:100%;min-width:0;color:var(--ink);background:var(--surface);border:1px solid var(--accent);border-radius:5px;padding:9px 11px;margin-top:5px}textarea{resize:vertical}button{font:650 16px/1.5 system-ui;min-height:44px;padding:9px 16px;color:var(--buttonText);background:var(--accent);border:1px solid var(--accent);border-radius:5px;cursor:pointer;margin:4px 6px 4px 0}button[aria-pressed=true]{outline:3px solid var(--accent);outline-offset:2px}button:disabled{opacity:.55;cursor:default}:focus-visible{outline:3px solid #b86d10;outline-offset:3px}.result{border-left:4px solid var(--accent);background:var(--wash);padding:15px;margin:16px 0;white-space:pre-line;overflow-wrap:anywhere;font-weight:600}.result:empty{display:none}pre{font:16px/1.55 ui-monospace,Consolas,monospace;background:var(--wash);padding:16px;white-space:pre-wrap;overflow-wrap:anywhere;border:1px solid var(--border);border-radius:5px}code{overflow-wrap:anywhere}.note{font-size:16px;color:var(--muted)}.row{border-bottom:1px solid var(--border);padding:12px 0}.row strong{display:block}table{width:100%;border-collapse:collapse;font-size:16px;table-layout:fixed}th,td{padding:10px 8px;text-align:left;border-bottom:1px solid var(--border);overflow-wrap:anywhere}th{background:var(--wash)}a{color:var(--accent);overflow-wrap:anywhere}footer{border-top:1px solid var(--border);padding-top:16px;font-size:16px;color:var(--muted)}.tiles{display:grid;grid-template-columns:repeat(3,1fr);gap:8px;max-width:330px}.tile{padding:16px;text-align:center;background:var(--wash);border:1px solid var(--border);font-size:22px}svg,canvas{max-width:100%;height:auto}mark{background:#d5f525;color:#202600}ol,ul{padding-left:24px}li{margin-bottom:9px}[hidden]{display:none!important}@media(max-width:640px){main{padding:18px 16px 36px}.grid{grid-template-columns:1fr;gap:0}.panel{padding:17px}header{padding-bottom:12px;margin-bottom:16px}h1{font-size:29px}th,td{padding:8px 5px}h2{margin-top:18px}}</style></head><body><main><header><p class="eyebrow">Original worked example</p><h1>Loading images in Python: audit each path and label</h1><p>Four original 8×8 RGB color fixtures. Class labels follow folder names, not what a solid-color tile means.</p></header><section class="panel"><button id="default" type="button">Default classes</button><button id="reverse" type="button">Reverse classes</button><label for="batch">Batch size: 1–4<input id="batch" type="number" value="2"></label><button id="inspect" type="button">Inspect expectations</button><div class="result" id="result" role="status" aria-live="polite"></div><pre id="manifest" tabindex="0"></pre></section><section class="panel"><h2>Native call to confirm</h2><pre id="source" tabindex="0">keras.utils.image_dataset_from_directory(
 fixture_root, labels=&quot;inferred&quot;, label_mode=&quot;int&quot;,
 color_mode=&quot;rgb&quot;, shuffle=False, batch_size=2,
 image_size=(8,8), format=&quot;tf&quot;)</pre><p>Expected shape assumes channels_last. Verify actual installed versions, full paths, decoded image identity and label dtype; no training required.</p></section><footer>This manifest inspector does not create PNGs, run Keras/TensorFlow or establish native batch order. Changes are temporary. No data is sent or saved.</footer></main><script>
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(function(){let reverse=false;function inspect(){const raw=$('#batch').value,batch=Number(raw);if(!raw.trim()||!Number.isInteger(batch)||batch<1||batch>4){$('#result').textContent='Enter an integer batch size from 1 to 4.';$('#manifest').textContent='';$('#source').textContent='No native call prepared. Enter a valid batch size and inspect again.';return;}$('#source').textContent='keras.utils.image_dataset_from_directory(\n fixture_root, labels="inferred", label_mode="int",\n color_mode="rgb", shuffle=False, batch_size='+batch+',\n class_names='+JSON.stringify(reverse?['screen','paper']:['paper','screen'])+',\n image_size=(8,8), format="tf")';const paths=['paper/a.png','paper/b.png','screen/a.png','screen/b.png'];$('#manifest').textContent=paths.map(p=>p+' → expected label '+(p.startsWith('paper')?(reverse?1:0):(reverse?0:1))).join('\n');const count=Math.ceil(4/batch),last=4-(count-1)*batch;$('#result').textContent='Expected batches: '+count+'. Batch sizes '+Array.from({length:count},(_,i)=>i===count-1?last:batch).join(', ')+'. RGB 8×8 channels_last; native order unobserved.';}on('#default',()=>{reverse=false;inspect();});on('#reverse',()=>{reverse=true;inspect();});on('#inspect',inspect);$('#batch').addEventListener('input',()=>{$('#result').textContent='Batch size changed. Inspect again.';$('#manifest').textContent='';$('#source').textContent='Configuration changed. Inspect expectations to prepare the native call.';});inspect();})();
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