Datasets:
Publish Ropedia task-suite derived artifacts
Browse files- PROJECT_README.md +12 -3
- README.md +4 -2
- assets/pipeline_diagram.png +3 -0
- assets/task_architectures.png +3 -0
- docs/assets/pipeline_diagram.png +2 -2
- docs/assets/pipeline_diagram_base.png +3 -0
- docs/assets/task_architectures.png +3 -0
- docs/assets/task_architectures_base.png +3 -0
- docs/index.html +30 -12
- notes/episode_task_suite.md +1 -1
- scripts/render_overview_figures.py +766 -0
PROJECT_README.md
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@@ -62,9 +62,14 @@ with [`scripts/render_task_suite_infographic.py`](scripts/render_task_suite_info
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so the published PNG is a presentation graphic with verified labels and metrics,
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not a hallucinated metric sheet.
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-

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The pipeline and architecture figures use the same pattern: ChatGPT-image
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provides text-free visual backgrounds, while
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[`scripts/render_overview_figures.py`](scripts/render_overview_figures.py)
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overlays exact labels, dimensions, and metrics from the committed result files.
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## Scope
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episode_task_suite.py # 12 end-to-end task definitions
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generate_visualizations.py # refreshes SVG charts + summary JSON
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render_task_suite_infographic.py # renders the ChatGPT-image-backed PNG
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render_overview_figures.py # renders polished pipeline/architecture PNGs
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results/
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min_action_model/ # motion-only action baseline artifacts
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index.html # GitHub Pages dashboard
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data/summary_metrics.json # website-readable metrics bundle
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assets/task_suite_infographic.png # 12-task presentation graphic
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assets/pipeline_diagram.png # verified episode pipeline graphic
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assets/task_architectures.png # verified 12-task minimal architecture map
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assets/charts/*.svg # regenerated visualizations
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notes/
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```bash
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python scripts/generate_visualizations.py
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python scripts/render_overview_figures.py
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python scripts/render_task_suite_infographic.py
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```
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## Minimal 12-Task Architectures
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README.md
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- `results/**/*.json`: verified metrics and metadata
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- `results/**/*.csv`: predictions, confusion matrices, per-class metrics, windows, boundaries
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-
- `docs/assets/*.svg` and `docs/assets/*.png`: generated diagrams and
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- `docs/assets/task_suite_infographic.png`: ChatGPT-image-backed infographic with low-resolution public-sample modality thumbnails and verified metric overlays
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- `docs/data/summary_metrics.json`: dashboard-readable summary bundle
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- `scripts/*.py`: reproduction scripts
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assets/pipeline_diagram.png
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Git LFS Details
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assets/task_architectures.png
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Git LFS Details
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docs/assets/pipeline_diagram.png
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Git LFS Details
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Git LFS Details
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docs/assets/pipeline_diagram_base.png
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Git LFS Details
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docs/assets/task_architectures.png
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Git LFS Details
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docs/assets/task_architectures_base.png
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Git LFS Details
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docs/index.html
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.signal strong { text-align: right; font-family: var(--font-mono); font-size: 13px; font-variant-numeric: tabular-nums; }
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section { padding: 88px 0 96px; border-bottom: 1px solid var(--soft-line); }
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.section-head {
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display: flex;
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justify-content: space-between;
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.architecture-image {
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display: block;
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}
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.two-col {
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display: grid;
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grid-template-columns: minmax(0, 1fr) minmax(340px, 0.52fr);
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@media (max-width: 960px) {
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.hero-inner, .two-col { grid-template-columns: 1fr; }
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.hero-inner { min-height: 0; }
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-
.hero-stats, .models, .task-grid, .artifact-grid, .chart-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }
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.section-head { display: block; }
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.section-head p { margin-top: 14px; }
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.nav-links { display: none; }
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}
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@media (max-width: 640px) {
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.wrap { width: min(100% - 28px, var(--max)); }
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-
.hero-stats, .models, .task-grid, .artifact-grid, .chart-grid { grid-template-columns: 1fr; }
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.hero-inner, section { padding: 46px 0; }
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.signal { grid-template-columns: 1fr; }
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.signal strong { text-align: left; }
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<span>Ropedia Episode Task Suite</span>
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</a>
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<div class="nav-links" aria-label="Page navigation">
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<a href="#pipeline">Pipeline</a>
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<a href="#models">Models</a>
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<a href="#architectures">Arch</a>
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and a clear line between single-episode inspection and real held-out evaluation.
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</p>
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<div class="hero-actions">
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-
<a class="button primary" href="#
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<a class="button" href="https://cy0307-ropedia-episode-task-suite.static.hf.space/">Open HF app</a>
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<a class="button" href="https://github.com/ChaoYue0307/ropedia-episode-task-suite">View repository</a>
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<a class="button" href="data/summary_metrics.json">Read metrics JSON</a>
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</header>
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<main id="main">
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<section id="pipeline">
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<div class="wrap">
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<div class="section-head">
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<h2>From raw episode to checked artifacts.</h2>
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<p>Every script works from one data contract: aligned multimodal windows, explicit labels, cached feature extraction, and artifact-first evaluation.</p>
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</div>
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-
<
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-
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<div class="callout">
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<h3>What this project proves</h3>
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<p>It proves the full engineering loop: reading Ropedia sample data, aligning modalities, converting them into model-ready windows, defining meaningful tasks, producing metrics, and packaging every artifact for review.</p>
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-
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<h3>What it does not prove</h3>
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<p>It does not claim general embodied intelligence. A single episode cannot support cross-environment generalization; that requires many episodes and held-out episode splits.</p>
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| 553 |
</div>
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<section id="architectures">
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<div class="wrap">
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<div class="section-head">
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-
<h2>The 12 tasks share
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<p>The diagram separates the shared episode-window feature pipeline from the task-specific heads: linear softmax, ridge
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</div>
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<img class="architecture-image" src="assets/task_architectures.
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</div>
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</section>
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<section id="tasks">
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<div class="wrap">
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<div class="section-head">
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<h2>
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<p>The
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</div>
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<img class="task-suite-image" src="assets/task_suite_infographic.png" alt="ChatGPT-image-backed infographic showing all 12 Ropedia episode tasks">
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<div class="task-toolbar" aria-label="Task filters">
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<button class="filter active" data-filter="all">All tasks</button>
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<button class="filter" data-filter="supervised">Supervised</button>
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.signal strong { text-align: right; font-family: var(--font-mono); font-size: 13px; font-variant-numeric: tabular-nums; }
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section { padding: 88px 0 96px; border-bottom: 1px solid var(--soft-line); }
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#suite { padding: 62px 0 76px; }
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.section-head {
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display: flex;
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justify-content: space-between;
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.architecture-image {
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display: block;
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}
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.callout-row {
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display: grid;
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grid-template-columns: repeat(2, minmax(0, 1fr));
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gap: 18px;
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margin-top: 18px;
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}
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.two-col {
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display: grid;
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grid-template-columns: minmax(0, 1fr) minmax(340px, 0.52fr);
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@media (max-width: 960px) {
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.hero-inner, .two-col { grid-template-columns: 1fr; }
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.hero-inner { min-height: 0; }
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.hero-stats, .models, .task-grid, .artifact-grid, .chart-grid, .callout-row { grid-template-columns: repeat(2, minmax(0, 1fr)); }
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.section-head { display: block; }
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.section-head p { margin-top: 14px; }
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.nav-links { display: none; }
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}
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@media (max-width: 640px) {
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.wrap { width: min(100% - 28px, var(--max)); }
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.hero-stats, .models, .task-grid, .artifact-grid, .chart-grid, .callout-row { grid-template-columns: 1fr; }
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.hero-inner, section { padding: 46px 0; }
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.signal { grid-template-columns: 1fr; }
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.signal strong { text-align: left; }
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<span>Ropedia Episode Task Suite</span>
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</a>
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<div class="nav-links" aria-label="Page navigation">
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+
<a href="#suite">Suite</a>
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<a href="#pipeline">Pipeline</a>
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<a href="#models">Models</a>
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<a href="#architectures">Arch</a>
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and a clear line between single-episode inspection and real held-out evaluation.
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</p>
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<div class="hero-actions">
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<a class="button primary" href="#suite">Inspect 12 tasks</a>
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<a class="button" href="https://cy0307-ropedia-episode-task-suite.static.hf.space/">Open HF app</a>
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| 521 |
<a class="button" href="https://github.com/ChaoYue0307/ropedia-episode-task-suite">View repository</a>
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<a class="button" href="data/summary_metrics.json">Read metrics JSON</a>
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| 544 |
</header>
|
| 545 |
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<main id="main">
|
| 547 |
+
<section id="suite">
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<div class="wrap">
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+
<div class="section-head">
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<h2>Ropedia 12-task suite, first.</h2>
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<p>The top-level map now appears before the lower implementation sections, using sample-modality thumbnails plus verified task names and metrics.</p>
|
| 552 |
+
</div>
|
| 553 |
+
<img class="task-suite-image" src="assets/task_suite_infographic.png" alt="ChatGPT-image-backed infographic showing all 12 Ropedia episode tasks">
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+
</div>
|
| 555 |
+
</section>
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+
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<section id="pipeline">
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| 558 |
<div class="wrap">
|
| 559 |
<div class="section-head">
|
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<h2>From raw episode to checked artifacts.</h2>
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<p>Every script works from one data contract: aligned multimodal windows, explicit labels, cached feature extraction, and artifact-first evaluation.</p>
|
| 562 |
</div>
|
| 563 |
+
<img class="pipeline-image" src="assets/pipeline_diagram.png" alt="Verified Ropedia all-modality pipeline diagram">
|
| 564 |
+
<div class="callout-row">
|
| 565 |
<div class="callout">
|
| 566 |
<h3>What this project proves</h3>
|
| 567 |
<p>It proves the full engineering loop: reading Ropedia sample data, aligning modalities, converting them into model-ready windows, defining meaningful tasks, producing metrics, and packaging every artifact for review.</p>
|
| 568 |
+
</div>
|
| 569 |
+
<div class="callout">
|
| 570 |
<h3>What it does not prove</h3>
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<p>It does not claim general embodied intelligence. A single episode cannot support cross-environment generalization; that requires many episodes and held-out episode splits.</p>
|
| 572 |
</div>
|
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|
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| 593 |
<section id="architectures">
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<div class="wrap">
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<div class="section-head">
|
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+
<h2>The 12 tasks share four head families.</h2>
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+
<p>The diagram separates the shared episode-window feature pipeline from the task-specific heads: linear softmax, ridge regression, ridge ranking, and multi-label logistic regression.</p>
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</div>
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+
<img class="architecture-image" src="assets/task_architectures.png" alt="Verified minimal architecture diagram for all 12 Ropedia episode tasks">
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</div>
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</section>
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<section id="tasks">
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<div class="wrap">
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<div class="section-head">
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<h2>Task cards and metrics.</h2>
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<p>The same 12 tasks are kept filterable here so the supervised, forecast, retrieval, and diagnostic probes can be inspected individually.</p>
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</div>
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<div class="task-toolbar" aria-label="Task filters">
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<button class="filter active" data-filter="all">All tasks</button>
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<button class="filter" data-filter="supervised">Supervised</button>
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notes/episode_task_suite.md
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Diagram:
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```text
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-
docs/assets/task_architectures.
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```
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## Current Results
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Diagram:
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```text
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docs/assets/task_architectures.png
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```
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## Current Results
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scripts/render_overview_figures.py
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|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""
|
| 3 |
+
Render polished PNG overview figures for the Ropedia project page.
|
| 4 |
+
|
| 5 |
+
The ChatGPT-image assets are used only as text-free visual backgrounds. All
|
| 6 |
+
labels, dimensions, task names, and metrics are read from committed result
|
| 7 |
+
files via scripts/generate_visualizations.py so the final figures stay
|
| 8 |
+
auditable.
|
| 9 |
+
"""
|
| 10 |
+
|
| 11 |
+
from __future__ import annotations
|
| 12 |
+
|
| 13 |
+
import argparse
|
| 14 |
+
import base64
|
| 15 |
+
import html
|
| 16 |
+
import subprocess
|
| 17 |
+
import tempfile
|
| 18 |
+
from pathlib import Path
|
| 19 |
+
|
| 20 |
+
from generate_visualizations import collect_summary, task_architecture_rows
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
ROOT = Path(__file__).resolve().parents[1]
|
| 24 |
+
ASSETS = ROOT / "docs/assets"
|
| 25 |
+
DEFAULT_PIPELINE_BASE = ASSETS / "pipeline_diagram_base.png"
|
| 26 |
+
DEFAULT_ARCHITECTURE_BASE = ASSETS / "task_architectures_base.png"
|
| 27 |
+
DEFAULT_PIPELINE_OUTPUT = ASSETS / "pipeline_diagram.png"
|
| 28 |
+
DEFAULT_ARCHITECTURE_OUTPUT = ASSETS / "task_architectures.png"
|
| 29 |
+
|
| 30 |
+
PIPELINE_WIDTH = 1800
|
| 31 |
+
PIPELINE_HEIGHT = 1000
|
| 32 |
+
ARCHITECTURE_WIDTH = 1800
|
| 33 |
+
ARCHITECTURE_HEIGHT = 1520
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
COLORS = {
|
| 37 |
+
"blue": "#1f6c9f",
|
| 38 |
+
"teal": "#197d83",
|
| 39 |
+
"green": "#346538",
|
| 40 |
+
"amber": "#956400",
|
| 41 |
+
"orange": "#b65b04",
|
| 42 |
+
"red": "#9f2f2d",
|
| 43 |
+
"ink": "#1f2421",
|
| 44 |
+
"muted": "#5f625d",
|
| 45 |
+
"line": "#e4ded4",
|
| 46 |
+
}
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
TASK_GROUPS = [
|
| 50 |
+
("Label + State", "#197d83", ["timeline_action", "timeline_subtask", "next_action"]),
|
| 51 |
+
(
|
| 52 |
+
"Prediction + Reconstruction",
|
| 53 |
+
"#1f6c9f",
|
| 54 |
+
["hand_trajectory_forecast", "modality_reconstruction", "contact_prediction"],
|
| 55 |
+
),
|
| 56 |
+
("Grounding + Retrieval", "#956400", ["caption_grounding", "cross_modal_retrieval", "object_relevance"]),
|
| 57 |
+
("Temporal Diagnostics", "#9f2f2d", ["transition_detection", "temporal_order", "misalignment_detection"]),
|
| 58 |
+
]
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
def data_uri(path: Path) -> str:
|
| 62 |
+
if not path.exists():
|
| 63 |
+
return ""
|
| 64 |
+
encoded = base64.b64encode(path.read_bytes()).decode("ascii")
|
| 65 |
+
return f"data:image/png;base64,{encoded}"
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
def esc(value: object) -> str:
|
| 69 |
+
return html.escape(str(value), quote=True)
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
def build_base_layer(path: Path, opacity: float) -> str:
|
| 73 |
+
uri = data_uri(path)
|
| 74 |
+
if not uri:
|
| 75 |
+
return ""
|
| 76 |
+
return f'<div class="base-layer" style="background-image:url({uri});opacity:{opacity};"></div>'
|
| 77 |
+
|
| 78 |
+
|
| 79 |
+
def stage_card(number: str, title: str, lines: list[str], color: str) -> str:
|
| 80 |
+
detail = "".join(f"<li>{esc(line)}</li>" for line in lines)
|
| 81 |
+
return f"""
|
| 82 |
+
<article class="stage" style="--accent:{color}">
|
| 83 |
+
<div class="stage-number">{esc(number)}</div>
|
| 84 |
+
<h3>{esc(title)}</h3>
|
| 85 |
+
<ul>{detail}</ul>
|
| 86 |
+
</article>
|
| 87 |
+
"""
|
| 88 |
+
|
| 89 |
+
|
| 90 |
+
def arrow() -> str:
|
| 91 |
+
return '<div class="flow-arrow" aria-hidden="true">-></div>'
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
def build_pipeline_html(summary: dict, base_path: Path) -> str:
|
| 95 |
+
suite = summary["suite"]
|
| 96 |
+
task_count = len(suite["tasks"])
|
| 97 |
+
stage_rows = [
|
| 98 |
+
[
|
| 99 |
+
stage_card(
|
| 100 |
+
"01",
|
| 101 |
+
"Raw public sample",
|
| 102 |
+
["annotation.hdf5", "6 camera videos", f"{suite['num_frames']:,} aligned frames"],
|
| 103 |
+
COLORS["blue"],
|
| 104 |
+
),
|
| 105 |
+
arrow(),
|
| 106 |
+
stage_card(
|
| 107 |
+
"02",
|
| 108 |
+
"HOMIE loader",
|
| 109 |
+
["mocap, hands, IMU", "depth and confidence", "SLAM + calibration"],
|
| 110 |
+
COLORS["teal"],
|
| 111 |
+
),
|
| 112 |
+
arrow(),
|
| 113 |
+
stage_card(
|
| 114 |
+
"03",
|
| 115 |
+
"Window builder",
|
| 116 |
+
[
|
| 117 |
+
f"{suite['window_frames']}-frame windows",
|
| 118 |
+
f"{suite['stride_frames']}-frame stride",
|
| 119 |
+
f"{suite['num_windows']:,} windows",
|
| 120 |
+
],
|
| 121 |
+
COLORS["green"],
|
| 122 |
+
),
|
| 123 |
+
arrow(),
|
| 124 |
+
stage_card(
|
| 125 |
+
"04",
|
| 126 |
+
"Feature vector",
|
| 127 |
+
[f"{suite['feature_dim']:,} dimensions", "17 named blocks", "manifested slice indices"],
|
| 128 |
+
COLORS["orange"],
|
| 129 |
+
),
|
| 130 |
+
],
|
| 131 |
+
[
|
| 132 |
+
stage_card(
|
| 133 |
+
"05",
|
| 134 |
+
"Baseline models",
|
| 135 |
+
["motion-only classifiers", "all-modality classifiers", "stored weights + predictions"],
|
| 136 |
+
COLORS["blue"],
|
| 137 |
+
),
|
| 138 |
+
arrow(),
|
| 139 |
+
stage_card(
|
| 140 |
+
"06",
|
| 141 |
+
"Episode task suite",
|
| 142 |
+
[f"{task_count} task contracts", "forecast, retrieval, alignment", "chronological evaluation"],
|
| 143 |
+
COLORS["teal"],
|
| 144 |
+
),
|
| 145 |
+
arrow(),
|
| 146 |
+
stage_card(
|
| 147 |
+
"07",
|
| 148 |
+
"Published artifacts",
|
| 149 |
+
["metrics.json / csv / npz", "GitHub Pages dashboard", "HF Space + dataset + model card"],
|
| 150 |
+
COLORS["green"],
|
| 151 |
+
),
|
| 152 |
+
],
|
| 153 |
+
]
|
| 154 |
+
rows_html = "".join(f'<section class="flow-row">{"".join(row)}</section>' for row in stage_rows)
|
| 155 |
+
checks = [
|
| 156 |
+
"Audit check: rerunning scripts to /private/tmp reproduced the committed metrics exactly.",
|
| 157 |
+
"Video/depth check: fresh cache read depth plus fisheye_cam0/1/2/3 and stereo_left/right from raw files.",
|
| 158 |
+
"Scope check: this validates one public sample episode, not cross-episode generalization.",
|
| 159 |
+
]
|
| 160 |
+
checks_html = "".join(f"<li>{esc(line)}</li>" for line in checks)
|
| 161 |
+
base_layer = build_base_layer(base_path, 0.42)
|
| 162 |
+
return f"""<!doctype html>
|
| 163 |
+
<html lang="en">
|
| 164 |
+
<head>
|
| 165 |
+
<meta charset="utf-8">
|
| 166 |
+
<style>
|
| 167 |
+
* {{ box-sizing: border-box; }}
|
| 168 |
+
body {{ margin: 0; background: #fbfaf7; font-family: "Avenir Next", "SF Pro Display", Arial, sans-serif; }}
|
| 169 |
+
.canvas {{
|
| 170 |
+
position: relative;
|
| 171 |
+
width: {PIPELINE_WIDTH}px;
|
| 172 |
+
height: {PIPELINE_HEIGHT}px;
|
| 173 |
+
overflow: hidden;
|
| 174 |
+
color: #1f2421;
|
| 175 |
+
background:
|
| 176 |
+
linear-gradient(90deg, rgba(68,55,38,0.03) 1px, transparent 1px),
|
| 177 |
+
linear-gradient(0deg, rgba(68,55,38,0.024) 1px, transparent 1px),
|
| 178 |
+
#fbfaf7;
|
| 179 |
+
background-size: 58px 58px, 58px 58px, auto;
|
| 180 |
+
}}
|
| 181 |
+
.base-layer {{
|
| 182 |
+
position: absolute;
|
| 183 |
+
inset: 0;
|
| 184 |
+
background-size: cover;
|
| 185 |
+
background-position: center;
|
| 186 |
+
filter: saturate(0.95) contrast(0.98);
|
| 187 |
+
}}
|
| 188 |
+
.wash {{
|
| 189 |
+
position: absolute;
|
| 190 |
+
inset: 0;
|
| 191 |
+
background: linear-gradient(180deg, rgba(251,250,247,0.72), rgba(251,250,247,0.9));
|
| 192 |
+
}}
|
| 193 |
+
.content {{
|
| 194 |
+
position: relative;
|
| 195 |
+
padding: 66px 82px;
|
| 196 |
+
height: 100%;
|
| 197 |
+
}}
|
| 198 |
+
header {{
|
| 199 |
+
display: grid;
|
| 200 |
+
grid-template-columns: 1fr auto;
|
| 201 |
+
gap: 44px;
|
| 202 |
+
align-items: start;
|
| 203 |
+
margin-bottom: 42px;
|
| 204 |
+
}}
|
| 205 |
+
.kicker {{
|
| 206 |
+
font: 700 17px "SF Mono", Menlo, monospace;
|
| 207 |
+
color: #68665f;
|
| 208 |
+
text-transform: uppercase;
|
| 209 |
+
letter-spacing: 0.09em;
|
| 210 |
+
margin-bottom: 14px;
|
| 211 |
+
}}
|
| 212 |
+
h1 {{
|
| 213 |
+
margin: 0;
|
| 214 |
+
font-size: 56px;
|
| 215 |
+
line-height: 0.98;
|
| 216 |
+
letter-spacing: 0;
|
| 217 |
+
}}
|
| 218 |
+
.subtitle {{
|
| 219 |
+
margin: 18px 0 0;
|
| 220 |
+
max-width: 1010px;
|
| 221 |
+
color: #4d524d;
|
| 222 |
+
font-size: 24px;
|
| 223 |
+
line-height: 1.42;
|
| 224 |
+
font-weight: 520;
|
| 225 |
+
}}
|
| 226 |
+
.metrics {{
|
| 227 |
+
display: grid;
|
| 228 |
+
grid-template-columns: repeat(2, 150px);
|
| 229 |
+
gap: 12px;
|
| 230 |
+
margin-top: 2px;
|
| 231 |
+
}}
|
| 232 |
+
.metric {{
|
| 233 |
+
background: rgba(255,254,253,0.86);
|
| 234 |
+
border: 1px solid #e4ded4;
|
| 235 |
+
border-radius: 8px;
|
| 236 |
+
padding: 13px 15px 12px;
|
| 237 |
+
box-shadow: 0 16px 40px rgba(68,55,38,0.06);
|
| 238 |
+
}}
|
| 239 |
+
.metric strong {{
|
| 240 |
+
display: block;
|
| 241 |
+
font: 850 24px "SF Mono", Menlo, monospace;
|
| 242 |
+
color: #1f2421;
|
| 243 |
+
line-height: 1;
|
| 244 |
+
font-variant-numeric: tabular-nums;
|
| 245 |
+
}}
|
| 246 |
+
.metric span {{
|
| 247 |
+
display: block;
|
| 248 |
+
margin-top: 7px;
|
| 249 |
+
color: #696d67;
|
| 250 |
+
font-size: 14px;
|
| 251 |
+
font-weight: 650;
|
| 252 |
+
}}
|
| 253 |
+
.flow-row {{
|
| 254 |
+
display: flex;
|
| 255 |
+
align-items: center;
|
| 256 |
+
gap: 18px;
|
| 257 |
+
margin-top: 30px;
|
| 258 |
+
}}
|
| 259 |
+
.flow-row:nth-of-type(2) {{
|
| 260 |
+
width: 78%;
|
| 261 |
+
margin-left: auto;
|
| 262 |
+
margin-right: auto;
|
| 263 |
+
margin-top: 38px;
|
| 264 |
+
}}
|
| 265 |
+
.stage {{
|
| 266 |
+
min-width: 0;
|
| 267 |
+
flex: 1 1 0;
|
| 268 |
+
height: 182px;
|
| 269 |
+
position: relative;
|
| 270 |
+
background: rgba(255,254,253,0.88);
|
| 271 |
+
border: 1px solid rgba(228,222,212,0.96);
|
| 272 |
+
border-radius: 8px;
|
| 273 |
+
padding: 24px 24px 22px 30px;
|
| 274 |
+
box-shadow: 0 24px 62px rgba(68,55,38,0.09);
|
| 275 |
+
backdrop-filter: blur(12px);
|
| 276 |
+
}}
|
| 277 |
+
.stage::before {{
|
| 278 |
+
content: "";
|
| 279 |
+
position: absolute;
|
| 280 |
+
inset: 0 auto 0 0;
|
| 281 |
+
width: 8px;
|
| 282 |
+
border-radius: 8px 0 0 8px;
|
| 283 |
+
background: var(--accent);
|
| 284 |
+
}}
|
| 285 |
+
.stage-number {{
|
| 286 |
+
color: var(--accent);
|
| 287 |
+
font: 850 16px "SF Mono", Menlo, monospace;
|
| 288 |
+
letter-spacing: 0.04em;
|
| 289 |
+
margin-bottom: 10px;
|
| 290 |
+
}}
|
| 291 |
+
.stage h3 {{
|
| 292 |
+
margin: 0 0 13px;
|
| 293 |
+
font-size: 24px;
|
| 294 |
+
line-height: 1.08;
|
| 295 |
+
letter-spacing: 0;
|
| 296 |
+
}}
|
| 297 |
+
.stage ul {{
|
| 298 |
+
margin: 0;
|
| 299 |
+
padding: 0;
|
| 300 |
+
list-style: none;
|
| 301 |
+
color: #39413d;
|
| 302 |
+
font-size: 17px;
|
| 303 |
+
line-height: 1.48;
|
| 304 |
+
font-weight: 560;
|
| 305 |
+
}}
|
| 306 |
+
.flow-arrow {{
|
| 307 |
+
width: 54px;
|
| 308 |
+
flex: 0 0 54px;
|
| 309 |
+
height: 54px;
|
| 310 |
+
display: grid;
|
| 311 |
+
place-items: center;
|
| 312 |
+
border-radius: 999px;
|
| 313 |
+
border: 1px solid #d7d0c4;
|
| 314 |
+
background: rgba(255,254,253,0.78);
|
| 315 |
+
color: #7c807a;
|
| 316 |
+
font: 850 22px "SF Mono", Menlo, monospace;
|
| 317 |
+
box-shadow: 0 14px 34px rgba(68,55,38,0.06);
|
| 318 |
+
}}
|
| 319 |
+
.audit {{
|
| 320 |
+
position: absolute;
|
| 321 |
+
left: 82px;
|
| 322 |
+
right: 82px;
|
| 323 |
+
bottom: 62px;
|
| 324 |
+
display: grid;
|
| 325 |
+
grid-template-columns: 190px 1fr;
|
| 326 |
+
gap: 26px;
|
| 327 |
+
align-items: center;
|
| 328 |
+
background: rgba(255,254,253,0.88);
|
| 329 |
+
border: 1px solid #e4ded4;
|
| 330 |
+
border-radius: 8px;
|
| 331 |
+
padding: 24px 28px;
|
| 332 |
+
box-shadow: 0 22px 52px rgba(68,55,38,0.08);
|
| 333 |
+
}}
|
| 334 |
+
.audit strong {{
|
| 335 |
+
color: #1f2421;
|
| 336 |
+
font-size: 23px;
|
| 337 |
+
line-height: 1.1;
|
| 338 |
+
}}
|
| 339 |
+
.audit ul {{
|
| 340 |
+
margin: 0;
|
| 341 |
+
padding: 0;
|
| 342 |
+
list-style: none;
|
| 343 |
+
color: #40463f;
|
| 344 |
+
font-size: 17px;
|
| 345 |
+
line-height: 1.55;
|
| 346 |
+
font-weight: 560;
|
| 347 |
+
}}
|
| 348 |
+
</style>
|
| 349 |
+
</head>
|
| 350 |
+
<body>
|
| 351 |
+
<main class="canvas">
|
| 352 |
+
{base_layer}
|
| 353 |
+
<div class="wash"></div>
|
| 354 |
+
<div class="content">
|
| 355 |
+
<header>
|
| 356 |
+
<div>
|
| 357 |
+
<div class="kicker">verified single-episode pipeline</div>
|
| 358 |
+
<h1>From Ropedia episode to reproducible artifacts</h1>
|
| 359 |
+
<p class="subtitle">The figure follows the actual code path: raw multimodal sample data, aligned windows, feature vectors, minimal heads, and published metrics.</p>
|
| 360 |
+
</div>
|
| 361 |
+
<div class="metrics">
|
| 362 |
+
<div class="metric"><strong>{suite['num_frames']:,}</strong><span>frames</span></div>
|
| 363 |
+
<div class="metric"><strong>{suite['num_windows']:,}</strong><span>windows</span></div>
|
| 364 |
+
<div class="metric"><strong>{suite['feature_dim']:,}</strong><span>features</span></div>
|
| 365 |
+
<div class="metric"><strong>{task_count}</strong><span>tasks</span></div>
|
| 366 |
+
</div>
|
| 367 |
+
</header>
|
| 368 |
+
{rows_html}
|
| 369 |
+
<section class="audit">
|
| 370 |
+
<strong>Reproducibility checks</strong>
|
| 371 |
+
<ul>{checks_html}</ul>
|
| 372 |
+
</section>
|
| 373 |
+
</div>
|
| 374 |
+
</main>
|
| 375 |
+
</body>
|
| 376 |
+
</html>
|
| 377 |
+
"""
|
| 378 |
+
|
| 379 |
+
|
| 380 |
+
def family_label(family: str) -> str:
|
| 381 |
+
return {
|
| 382 |
+
"softmax": "linear softmax",
|
| 383 |
+
"ridge": "ridge regression",
|
| 384 |
+
"ridge+rank": "ridge + cosine rank",
|
| 385 |
+
"multilabel": "multi-label logistic",
|
| 386 |
+
}.get(family, family)
|
| 387 |
+
|
| 388 |
+
|
| 389 |
+
def build_task_card(row: dict, color: str) -> str:
|
| 390 |
+
return f"""
|
| 391 |
+
<article class="task-card" style="--accent:{color}">
|
| 392 |
+
<div class="chip">{esc(family_label(row['family']))}</div>
|
| 393 |
+
<h3>{esc(row['task'])}</h3>
|
| 394 |
+
<dl>
|
| 395 |
+
<dt>Input</dt><dd>{esc(row['input'])}</dd>
|
| 396 |
+
<dt>Head</dt><dd>{esc(row['head'])}</dd>
|
| 397 |
+
<dt>Output</dt><dd>{esc(row['output'])}</dd>
|
| 398 |
+
</dl>
|
| 399 |
+
<div class="metric-line"><span>Metric</span><strong>{esc(row['metric'])}</strong></div>
|
| 400 |
+
</article>
|
| 401 |
+
"""
|
| 402 |
+
|
| 403 |
+
|
| 404 |
+
def build_architecture_html(summary: dict, base_path: Path) -> str:
|
| 405 |
+
suite = summary["suite"]
|
| 406 |
+
rows_by_task = {row["task"]: row for row in task_architecture_rows(summary)}
|
| 407 |
+
group_html = []
|
| 408 |
+
for title, color, task_names in TASK_GROUPS:
|
| 409 |
+
cards = "".join(build_task_card(rows_by_task[name], color) for name in task_names)
|
| 410 |
+
group_html.append(
|
| 411 |
+
f"""
|
| 412 |
+
<section class="task-group" style="--accent:{color}">
|
| 413 |
+
<div class="group-head">
|
| 414 |
+
<span></span>
|
| 415 |
+
<h2>{esc(title)}</h2>
|
| 416 |
+
</div>
|
| 417 |
+
<div class="group-cards">{cards}</div>
|
| 418 |
+
</section>
|
| 419 |
+
"""
|
| 420 |
+
)
|
| 421 |
+
|
| 422 |
+
family_cards = [
|
| 423 |
+
("Linear softmax", "Class-weighted CE + L2 for action, subtask, next-action, transition, contact, order, and alignment classifiers.", COLORS["blue"]),
|
| 424 |
+
("Ridge regression", "Closed-form dual ridge for hand trajectory forecasting and modality reconstruction.", COLORS["green"]),
|
| 425 |
+
("Ridge + cosine rank", "Project sensor features into text or visual space, then rank candidate windows by cosine similarity.", COLORS["teal"]),
|
| 426 |
+
("Multi-label logistic", "One-vs-rest sigmoid heads over the object vocabulary with top-1 fallback.", COLORS["orange"]),
|
| 427 |
+
]
|
| 428 |
+
families = "".join(
|
| 429 |
+
f"""
|
| 430 |
+
<article class="family" style="--accent:{color}">
|
| 431 |
+
<h3>{esc(title)}</h3>
|
| 432 |
+
<p>{esc(desc)}</p>
|
| 433 |
+
</article>
|
| 434 |
+
"""
|
| 435 |
+
for title, desc, color in family_cards
|
| 436 |
+
)
|
| 437 |
+
base_layer = build_base_layer(base_path, 0.36)
|
| 438 |
+
return f"""<!doctype html>
|
| 439 |
+
<html lang="en">
|
| 440 |
+
<head>
|
| 441 |
+
<meta charset="utf-8">
|
| 442 |
+
<style>
|
| 443 |
+
* {{ box-sizing: border-box; }}
|
| 444 |
+
body {{ margin: 0; background: #fbfaf7; font-family: "Avenir Next", "SF Pro Display", Arial, sans-serif; }}
|
| 445 |
+
.canvas {{
|
| 446 |
+
position: relative;
|
| 447 |
+
width: {ARCHITECTURE_WIDTH}px;
|
| 448 |
+
height: {ARCHITECTURE_HEIGHT}px;
|
| 449 |
+
overflow: hidden;
|
| 450 |
+
color: #1f2421;
|
| 451 |
+
background:
|
| 452 |
+
linear-gradient(90deg, rgba(68,55,38,0.03) 1px, transparent 1px),
|
| 453 |
+
linear-gradient(0deg, rgba(68,55,38,0.024) 1px, transparent 1px),
|
| 454 |
+
#fbfaf7;
|
| 455 |
+
background-size: 58px 58px, 58px 58px, auto;
|
| 456 |
+
}}
|
| 457 |
+
.base-layer {{
|
| 458 |
+
position: absolute;
|
| 459 |
+
inset: 0;
|
| 460 |
+
background-size: cover;
|
| 461 |
+
background-position: center;
|
| 462 |
+
filter: saturate(0.95) contrast(0.98);
|
| 463 |
+
}}
|
| 464 |
+
.wash {{
|
| 465 |
+
position: absolute;
|
| 466 |
+
inset: 0;
|
| 467 |
+
background: linear-gradient(180deg, rgba(251,250,247,0.72), rgba(251,250,247,0.92));
|
| 468 |
+
}}
|
| 469 |
+
.content {{
|
| 470 |
+
position: relative;
|
| 471 |
+
height: 100%;
|
| 472 |
+
padding: 58px 74px 64px;
|
| 473 |
+
}}
|
| 474 |
+
header {{
|
| 475 |
+
display: grid;
|
| 476 |
+
grid-template-columns: 1fr auto;
|
| 477 |
+
gap: 42px;
|
| 478 |
+
align-items: start;
|
| 479 |
+
margin-bottom: 28px;
|
| 480 |
+
}}
|
| 481 |
+
.kicker {{
|
| 482 |
+
font: 700 16px "SF Mono", Menlo, monospace;
|
| 483 |
+
color: #68665f;
|
| 484 |
+
text-transform: uppercase;
|
| 485 |
+
letter-spacing: 0.09em;
|
| 486 |
+
margin-bottom: 13px;
|
| 487 |
+
}}
|
| 488 |
+
h1 {{
|
| 489 |
+
margin: 0;
|
| 490 |
+
font-size: 52px;
|
| 491 |
+
line-height: 1;
|
| 492 |
+
letter-spacing: 0;
|
| 493 |
+
}}
|
| 494 |
+
.subtitle {{
|
| 495 |
+
margin: 15px 0 0;
|
| 496 |
+
max-width: 1060px;
|
| 497 |
+
color: #4d524d;
|
| 498 |
+
font-size: 22px;
|
| 499 |
+
line-height: 1.42;
|
| 500 |
+
font-weight: 520;
|
| 501 |
+
}}
|
| 502 |
+
.summary-pill {{
|
| 503 |
+
display: grid;
|
| 504 |
+
place-items: center;
|
| 505 |
+
min-width: 188px;
|
| 506 |
+
min-height: 112px;
|
| 507 |
+
border: 1px solid #e4ded4;
|
| 508 |
+
border-radius: 8px;
|
| 509 |
+
background: rgba(255,254,253,0.86);
|
| 510 |
+
box-shadow: 0 18px 44px rgba(68,55,38,0.07);
|
| 511 |
+
text-align: center;
|
| 512 |
+
}}
|
| 513 |
+
.summary-pill strong {{
|
| 514 |
+
font: 850 36px "SF Mono", Menlo, monospace;
|
| 515 |
+
line-height: 1;
|
| 516 |
+
}}
|
| 517 |
+
.summary-pill span {{
|
| 518 |
+
display: block;
|
| 519 |
+
margin-top: 8px;
|
| 520 |
+
color: #6c6d68;
|
| 521 |
+
font-size: 15px;
|
| 522 |
+
font-weight: 700;
|
| 523 |
+
}}
|
| 524 |
+
.shared {{
|
| 525 |
+
display: grid;
|
| 526 |
+
grid-template-columns: repeat(4, 1fr);
|
| 527 |
+
gap: 18px;
|
| 528 |
+
margin-bottom: 24px;
|
| 529 |
+
}}
|
| 530 |
+
.shared article {{
|
| 531 |
+
min-height: 110px;
|
| 532 |
+
border: 1px solid #e4ded4;
|
| 533 |
+
border-radius: 8px;
|
| 534 |
+
background: rgba(255,254,253,0.88);
|
| 535 |
+
padding: 20px 22px;
|
| 536 |
+
box-shadow: 0 18px 44px rgba(68,55,38,0.06);
|
| 537 |
+
}}
|
| 538 |
+
.shared h2 {{
|
| 539 |
+
margin: 0 0 9px;
|
| 540 |
+
font-size: 22px;
|
| 541 |
+
line-height: 1.08;
|
| 542 |
+
}}
|
| 543 |
+
.shared p {{
|
| 544 |
+
margin: 0;
|
| 545 |
+
color: #4c534f;
|
| 546 |
+
font-size: 16px;
|
| 547 |
+
line-height: 1.38;
|
| 548 |
+
font-weight: 560;
|
| 549 |
+
}}
|
| 550 |
+
.families {{
|
| 551 |
+
display: grid;
|
| 552 |
+
grid-template-columns: repeat(4, 1fr);
|
| 553 |
+
gap: 18px;
|
| 554 |
+
margin-bottom: 28px;
|
| 555 |
+
}}
|
| 556 |
+
.family {{
|
| 557 |
+
min-height: 124px;
|
| 558 |
+
border: 1px solid #e4ded4;
|
| 559 |
+
border-radius: 8px;
|
| 560 |
+
background: rgba(255,254,253,0.82);
|
| 561 |
+
padding: 20px 20px 18px;
|
| 562 |
+
box-shadow: 0 16px 40px rgba(68,55,38,0.055);
|
| 563 |
+
}}
|
| 564 |
+
.family h3 {{
|
| 565 |
+
margin: 0 0 10px;
|
| 566 |
+
color: var(--accent);
|
| 567 |
+
font-size: 21px;
|
| 568 |
+
line-height: 1.08;
|
| 569 |
+
}}
|
| 570 |
+
.family p {{
|
| 571 |
+
margin: 0;
|
| 572 |
+
color: #4d534f;
|
| 573 |
+
font-size: 15px;
|
| 574 |
+
line-height: 1.42;
|
| 575 |
+
font-weight: 560;
|
| 576 |
+
}}
|
| 577 |
+
.task-groups {{
|
| 578 |
+
display: grid;
|
| 579 |
+
grid-template-columns: repeat(4, 1fr);
|
| 580 |
+
gap: 20px;
|
| 581 |
+
}}
|
| 582 |
+
.task-group {{
|
| 583 |
+
border: 1px solid rgba(228,222,212,0.96);
|
| 584 |
+
border-radius: 8px;
|
| 585 |
+
background: rgba(255,254,253,0.74);
|
| 586 |
+
padding: 18px;
|
| 587 |
+
box-shadow: 0 22px 54px rgba(68,55,38,0.07);
|
| 588 |
+
backdrop-filter: blur(10px);
|
| 589 |
+
}}
|
| 590 |
+
.group-head {{
|
| 591 |
+
display: flex;
|
| 592 |
+
align-items: center;
|
| 593 |
+
gap: 11px;
|
| 594 |
+
margin-bottom: 14px;
|
| 595 |
+
}}
|
| 596 |
+
.group-head span {{
|
| 597 |
+
width: 12px;
|
| 598 |
+
height: 34px;
|
| 599 |
+
border-radius: 999px;
|
| 600 |
+
background: var(--accent);
|
| 601 |
+
}}
|
| 602 |
+
.group-head h2 {{
|
| 603 |
+
margin: 0;
|
| 604 |
+
font-size: 24px;
|
| 605 |
+
line-height: 1.08;
|
| 606 |
+
color: var(--accent);
|
| 607 |
+
}}
|
| 608 |
+
.group-cards {{
|
| 609 |
+
display: grid;
|
| 610 |
+
gap: 14px;
|
| 611 |
+
}}
|
| 612 |
+
.task-card {{
|
| 613 |
+
min-height: 244px;
|
| 614 |
+
position: relative;
|
| 615 |
+
border: 1px solid color-mix(in srgb, var(--accent), #ffffff 68%);
|
| 616 |
+
border-radius: 8px;
|
| 617 |
+
background: rgba(255,254,253,0.92);
|
| 618 |
+
padding: 17px 18px 16px;
|
| 619 |
+
overflow: hidden;
|
| 620 |
+
}}
|
| 621 |
+
.task-card::before {{
|
| 622 |
+
content: "";
|
| 623 |
+
position: absolute;
|
| 624 |
+
inset: 0 auto 0 0;
|
| 625 |
+
width: 6px;
|
| 626 |
+
background: var(--accent);
|
| 627 |
+
opacity: 0.92;
|
| 628 |
+
}}
|
| 629 |
+
.chip {{
|
| 630 |
+
display: inline-flex;
|
| 631 |
+
border: 1px solid color-mix(in srgb, var(--accent), #ffffff 35%);
|
| 632 |
+
border-radius: 6px;
|
| 633 |
+
padding: 4px 8px;
|
| 634 |
+
color: var(--accent);
|
| 635 |
+
font: 850 11px "SF Mono", Menlo, monospace;
|
| 636 |
+
text-transform: uppercase;
|
| 637 |
+
letter-spacing: 0.03em;
|
| 638 |
+
background: rgba(255,254,253,0.72);
|
| 639 |
+
}}
|
| 640 |
+
.task-card h3 {{
|
| 641 |
+
margin: 13px 0 12px;
|
| 642 |
+
color: #161a17;
|
| 643 |
+
font-size: 21px;
|
| 644 |
+
line-height: 1.08;
|
| 645 |
+
overflow-wrap: anywhere;
|
| 646 |
+
}}
|
| 647 |
+
dl {{
|
| 648 |
+
display: grid;
|
| 649 |
+
grid-template-columns: 54px 1fr;
|
| 650 |
+
gap: 5px 9px;
|
| 651 |
+
margin: 0;
|
| 652 |
+
color: #3d453f;
|
| 653 |
+
font-size: 13px;
|
| 654 |
+
line-height: 1.32;
|
| 655 |
+
font-weight: 560;
|
| 656 |
+
}}
|
| 657 |
+
dt {{
|
| 658 |
+
color: var(--accent);
|
| 659 |
+
font: 850 10px "SF Mono", Menlo, monospace;
|
| 660 |
+
text-transform: uppercase;
|
| 661 |
+
letter-spacing: 0.04em;
|
| 662 |
+
}}
|
| 663 |
+
dd {{ margin: 0; }}
|
| 664 |
+
.metric-line {{
|
| 665 |
+
display: flex;
|
| 666 |
+
justify-content: space-between;
|
| 667 |
+
gap: 12px;
|
| 668 |
+
align-items: center;
|
| 669 |
+
margin-top: 12px;
|
| 670 |
+
border-top: 1px solid #eee9e1;
|
| 671 |
+
padding-top: 12px;
|
| 672 |
+
font-size: 13px;
|
| 673 |
+
font-weight: 700;
|
| 674 |
+
}}
|
| 675 |
+
.metric-line span {{
|
| 676 |
+
color: #6c6d68;
|
| 677 |
+
font: 850 11px "SF Mono", Menlo, monospace;
|
| 678 |
+
text-transform: uppercase;
|
| 679 |
+
}}
|
| 680 |
+
.metric-line strong {{
|
| 681 |
+
color: var(--accent);
|
| 682 |
+
font: 850 15px "SF Mono", Menlo, monospace;
|
| 683 |
+
text-align: right;
|
| 684 |
+
font-variant-numeric: tabular-nums;
|
| 685 |
+
}}
|
| 686 |
+
</style>
|
| 687 |
+
</head>
|
| 688 |
+
<body>
|
| 689 |
+
<main class="canvas">
|
| 690 |
+
{base_layer}
|
| 691 |
+
<div class="wash"></div>
|
| 692 |
+
<div class="content">
|
| 693 |
+
<header>
|
| 694 |
+
<div>
|
| 695 |
+
<div class="kicker">minimal verified model architectures</div>
|
| 696 |
+
<h1>12 Ropedia episode tasks, four reusable heads</h1>
|
| 697 |
+
<p class="subtitle">Each task uses the same aligned episode-window contract, then swaps only the minimal output head needed for labels, forecasting, grounding, reconstruction, or temporal diagnostics.</p>
|
| 698 |
+
</div>
|
| 699 |
+
<div class="summary-pill"><strong>{len(suite['tasks'])}</strong><span>end-to-end tasks</span></div>
|
| 700 |
+
</header>
|
| 701 |
+
<section class="shared">
|
| 702 |
+
<article><h2>Shared windows</h2><p>{suite['num_frames']:,} frames to {suite['num_windows']:,} windows, {suite['window_frames']}-frame context, {suite['stride_frames']}-frame stride.</p></article>
|
| 703 |
+
<article><h2>Feature vector</h2><p>X_all is {suite['feature_dim']:,} dimensions with 17 named modality blocks and train-fit standardization.</p></article>
|
| 704 |
+
<article><h2>Reusable heads</h2><p>Softmax, ridge, ridge ranking, and multi-label logistic heads cover the whole suite.</p></article>
|
| 705 |
+
<article><h2>Artifacts</h2><p>Metrics, predictions, models, manifests, and the source summary report are committed.</p></article>
|
| 706 |
+
</section>
|
| 707 |
+
<section class="families">{families}</section>
|
| 708 |
+
<section class="task-groups">{"".join(group_html)}</section>
|
| 709 |
+
</div>
|
| 710 |
+
</main>
|
| 711 |
+
</body>
|
| 712 |
+
</html>
|
| 713 |
+
"""
|
| 714 |
+
|
| 715 |
+
|
| 716 |
+
def render_html(html_text: str, output_path: Path, width: int, height: int, keep_html: Path | None = None) -> None:
|
| 717 |
+
output_path.parent.mkdir(parents=True, exist_ok=True)
|
| 718 |
+
if keep_html is None:
|
| 719 |
+
with tempfile.NamedTemporaryFile("w", suffix=".html", encoding="utf-8", delete=False) as handle:
|
| 720 |
+
handle.write(html_text)
|
| 721 |
+
html_path = Path(handle.name)
|
| 722 |
+
else:
|
| 723 |
+
html_path = keep_html
|
| 724 |
+
html_path.parent.mkdir(parents=True, exist_ok=True)
|
| 725 |
+
html_path.write_text(html_text, encoding="utf-8")
|
| 726 |
+
subprocess.run(
|
| 727 |
+
[
|
| 728 |
+
"npx",
|
| 729 |
+
"--yes",
|
| 730 |
+
"playwright",
|
| 731 |
+
"screenshot",
|
| 732 |
+
"--full-page",
|
| 733 |
+
f"--viewport-size={width},{height}",
|
| 734 |
+
html_path.resolve().as_uri(),
|
| 735 |
+
str(output_path),
|
| 736 |
+
],
|
| 737 |
+
check=True,
|
| 738 |
+
)
|
| 739 |
+
print(f"Wrote image: {output_path}")
|
| 740 |
+
print(f"Wrote render HTML: {html_path}")
|
| 741 |
+
|
| 742 |
+
|
| 743 |
+
def main() -> int:
|
| 744 |
+
parser = argparse.ArgumentParser()
|
| 745 |
+
parser.add_argument("--pipeline-base", type=Path, default=DEFAULT_PIPELINE_BASE)
|
| 746 |
+
parser.add_argument("--architecture-base", type=Path, default=DEFAULT_ARCHITECTURE_BASE)
|
| 747 |
+
parser.add_argument("--pipeline-output", type=Path, default=DEFAULT_PIPELINE_OUTPUT)
|
| 748 |
+
parser.add_argument("--architecture-output", type=Path, default=DEFAULT_ARCHITECTURE_OUTPUT)
|
| 749 |
+
parser.add_argument("--html-dir", type=Path, help="Optional directory for the intermediate render HTML files.")
|
| 750 |
+
parser.add_argument("--only", choices=["pipeline", "architecture", "both"], default="both")
|
| 751 |
+
args = parser.parse_args()
|
| 752 |
+
|
| 753 |
+
summary = collect_summary()
|
| 754 |
+
if args.only in {"pipeline", "both"}:
|
| 755 |
+
pipeline_html = build_pipeline_html(summary, args.pipeline_base)
|
| 756 |
+
html_path = args.html_dir / "pipeline_diagram.html" if args.html_dir else None
|
| 757 |
+
render_html(pipeline_html, args.pipeline_output, PIPELINE_WIDTH, PIPELINE_HEIGHT, html_path)
|
| 758 |
+
if args.only in {"architecture", "both"}:
|
| 759 |
+
architecture_html = build_architecture_html(summary, args.architecture_base)
|
| 760 |
+
html_path = args.html_dir / "task_architectures.html" if args.html_dir else None
|
| 761 |
+
render_html(architecture_html, args.architecture_output, ARCHITECTURE_WIDTH, ARCHITECTURE_HEIGHT, html_path)
|
| 762 |
+
return 0
|
| 763 |
+
|
| 764 |
+
|
| 765 |
+
if __name__ == "__main__":
|
| 766 |
+
raise SystemExit(main())
|