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Upload from Ropedia Academy

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  1. README.md +42 -0
  2. metrics.todo.json +10 -0
README.md ADDED
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+ ---
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+ license: mit
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+ tags:
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+ - ropedia-academy
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+ - advanced
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+ - todo
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+ - track-d
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+ ---
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+
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+ # Nerfstudio nerfacto 🚧 placeholder
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+
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+ > **Status — not trained yet.** This is a *documented placeholder* for an advanced, GPU-heavy pipeline from **[Ropedia Academy](https://chaoyue0307.github.io/ropedia-academy/)**. The checkpoint, metrics and plots are **TODO** — train it on a GPU (link below) and the weights + a full results card land here.
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+
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+ Train a high-quality NeRF (or Gaussian splat) on your own phone video with Nerfstudio.
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+
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+ | | |
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+ |---|---|
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+ | **Task** | NeRF / Gaussian scene from video |
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+ | **Built on** | [nerfstudio-project/nerfstudio](https://docs.nerf.studio/) |
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+ | **Track** | B · 3D & rendering |
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+ | **Notebook** | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ChaoYue0307/ropedia-academy/blob/main/notebooks/advanced/B_nerfstudio_nerfacto.ipynb) |
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+ | **Compute / storage / time** | see the *Compute · storage · time* table inside the notebook (GPU required) |
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+
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+ ## How to fill this repo
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+ 1. Open the [notebook in Colab](https://colab.research.google.com/github/ChaoYue0307/ropedia-academy/blob/main/notebooks/advanced/B_nerfstudio_nerfacto.ipynb) → **Runtime → GPU → Run all** (trains/runs the real pipeline).
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+ 2. Run its **Publish to the Hugging Face Hub** step (or `HfApi().upload_folder(...)`) to push the checkpoint + metrics + plots here, replacing this placeholder.
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+
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+ ## TODO
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+ - [ ] Train / run on a GPU (see the notebook)
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+ - [ ] Upload the checkpoint / adapter weights
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+ - [ ] Add `metrics.json` (loss / eval history)
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+ - [ ] Add result figures & sample outputs
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+ - [ ] Replace this placeholder card with the real results
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+
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+ ## Results
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+ _TODO — add final metrics and plots after training. (Placeholder.)_
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+
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+ ## Links to tracks A–D
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+ Relates to: **D** — see the *How this links to tracks A–D* note in the notebook.
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+
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+ ---
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+ *Placeholder in the [Ropedia Academy](https://chaoyue0307.github.io/ropedia-academy/) trained-model collection. Browse all labs in the [Labs tab](https://chaoyue0307.github.io/ropedia-academy/labs).*
metrics.todo.json ADDED
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+ {
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+ "status": "placeholder",
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+ "trained": false,
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+ "todo": [
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+ "train on GPU",
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+ "upload checkpoint",
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+ "add metrics.json",
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+ "add figures"
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+ ]
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+ }