Spaces:
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Fix HF README rendering (logo + pipeline)
Browse files
README.md
CHANGED
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@@ -1,55 +1,12 @@
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---
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title: README
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emoji: ⚡
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colorFrom:
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colorTo: gray
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sdk: static
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pinned: false
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---
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.st-header-banner {
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width: 100%;
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height: 120px;
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margin: 0 0 12px 0;
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padding: 0 24px;
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box-sizing: border-box;
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background: #03234B;
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display: flex;
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align-items: center;
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justify-content: flex-start;
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}
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.st-logo-right {
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height: 72px;
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width: auto;
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object-fit: contain;
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}
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img.rotating-content {
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width: 300px;
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height: 150px;
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object-fit:cover;
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object-position:center;
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}
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.icon {
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width: 1.5em;
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height: 1.5em;
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vertical-align: -.7em;
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padding: .25em .5em .25em .25em;
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}
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ul.social {
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list-style: none;
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padding-left: 0;
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}
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ul.social li {
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padding-left: .5em;
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display: flex;
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}
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.architectureImage {
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border: 0.5px solid black;
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}
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</style>
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<div class="st-header-banner">
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<img src="assets/ST_logo_2024_white.png" alt="ST Logo" class="st-logo-right"/>
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</div>
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@@ -60,62 +17,19 @@ Models are optimized, quantized and validated to run directly on ST Neural-ART b
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---
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## End-to-End AI Pipeline
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| Zoo Services │
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└────────────────────────────┘
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│
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▼
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┌────────────────────────────┐
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│ OPTIMIZE / QUANTIZE │
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├────────────────────────────┤
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│ STM32 AI Model |
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| Zoo Services │
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└────────────────────────────┘
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│
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▼
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┌────────────────────────────┐
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│ EVALUATE / PREDICT │
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├────────────────────────────┤
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│ STM32 AI Model |
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| Zoo Services │
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└────────────────────────────┘
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│
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▼
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┌────────────────────────────┐
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│ BENCHMARK │
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├────────────────────────────┤
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│ STM32Cube AI Studio │
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| STM32 Developer Cloud |
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└────────────────────────────┘
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│
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▼
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┌────────────────────────────┐
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│ CONVERT │
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├────────────────────────────┤
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│ STM32Cube AI Studio │
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│ ST Edge AI Core │
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└────────────────────────────┘
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│
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▼
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┌────────────────────────────┐
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│ DEPLOY │
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├────────────────────────────┤
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│ STM32Cube ecosystem │
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│ (tools, middleware, BSP…)│
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└────────────────────────────┘
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```
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This diagram summarizes the typical STM32 edge AI workflow from model discovery to on-device deployment:
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---
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title: README
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emoji: ⚡
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colorFrom: red
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colorTo: gray
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sdk: static
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pinned: false
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---
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---
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## End-to-End AI Pipeline
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**Explore** (STM32 AI Model Zoo)
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↓
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**Train** (STM32 AI Model Zoo Services)
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↓
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**Optimize / Quantize** (STM32 AI Model Zoo Services)
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↓
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**Evaluate / Predict** (STM32 AI Model Zoo Services)
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↓
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**Benchmark** (STM32Cube AI Studio, STM32 Developer Cloud)
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↓
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**Convert** (STM32Cube AI Studio, ST Edge AI Core)
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↓
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**Deploy** (STM32Cube ecosystem: tools, middleware, BSP)
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This diagram summarizes the typical STM32 edge AI workflow from model discovery to on-device deployment:
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