Upload from Ropedia Academy
Browse files- README.md +43 -0
- metrics.todo.json +10 -0
README.md
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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-a
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- track-d
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---
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# SAM 2 — video segmentation 🚧 placeholder
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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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Click an object on frame 0; SAM 2 tracks its mask through the whole clip.
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|---|---|
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| **Task** | promptable video object segmentation |
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| **Built on** | [facebookresearch/sam2](https://github.com/facebookresearch/sam2) |
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| **Track** | C · Egocentric vision |
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| **Notebook** | [](https://colab.research.google.com/github/ChaoYue0307/ropedia-academy/blob/main/notebooks/advanced/C_sam2_video_segmentation.ipynb) |
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| **Compute / storage / time** | see the *Compute · storage · time* table inside the notebook (GPU required) |
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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/C_sam2_video_segmentation.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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## 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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## Results
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_TODO — add final metrics and plots after training. (Placeholder.)_
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## Links to tracks A–D
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Relates to: **A · D** — see the *How this links to tracks A–D* note in the notebook.
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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).*
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metrics.todo.json
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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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}
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