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docs: improve model download and runtime links

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  1. README.md +19 -4
README.md CHANGED
@@ -25,7 +25,17 @@ and injection-search entry points:
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  | Candidate localization | CenterNet + ConvNeXt-Tiny, v10 | `object_best_model_centernet_conv_tiny_ema_v10.pth` | 114,449,795 bytes | `bcad4e710f5f1ccd3c8609d35a8d3fbfc36abd1d85bfefd035e945a573fb0629` |
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  | Candidate verification | ConvNeXt-Small binary classifier | `binary_best_model_conv_small_ema.pth` | 197,949,537 bytes | `2055745aab76ddc16074516aa7b9aafdfaedf16df37ce8924389573eab27ffd8` |
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- Download them into `runcode/models/`:
 
 
 
 
 
 
 
 
 
 
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  ```bash
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  curl -L \
@@ -37,11 +47,16 @@ curl -L \
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  ```
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  The injection runtime uses the same filenames under
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- `injection_experiment/search_runtime/models/`.
 
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  Model architecture definitions, preprocessing, command-line examples, and
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- deployment notes are maintained in the
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- [DRAFTS repository](https://github.com/SukiYume/DRAFTS).
 
 
 
 
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  ## Legacy checkpoints
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  | Candidate localization | CenterNet + ConvNeXt-Tiny, v10 | `object_best_model_centernet_conv_tiny_ema_v10.pth` | 114,449,795 bytes | `bcad4e710f5f1ccd3c8609d35a8d3fbfc36abd1d85bfefd035e945a573fb0629` |
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  | Candidate verification | ConvNeXt-Small binary classifier | `binary_best_model_conv_small_ema.pth` | 197,949,537 bytes | `2055745aab76ddc16074516aa7b9aafdfaedf16df37ce8924389573eab27ffd8` |
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+ Download both files with the Hugging Face CLI:
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+
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+ ```bash
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+ mkdir -p runcode/models
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+ hf download TorchLight/DRAFTS \
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+ object_best_model_centernet_conv_tiny_ema_v10.pth \
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+ binary_best_model_conv_small_ema.pth \
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+ --local-dir runcode/models
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+ ```
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+
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+ Or use direct HTTP downloads:
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  ```bash
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  curl -L \
 
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  ```
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  The injection runtime uses the same filenames under
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+ `injection_experiment/search_runtime/models/`. Compare the downloaded files
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+ with the SHA-256 values above before running a long search.
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  Model architecture definitions, preprocessing, command-line examples, and
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+ deployment notes are maintained in the DRAFTS repository:
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+
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+ - [Observation-search runtime](https://github.com/SukiYume/DRAFTS/tree/main/runcode#readme)
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+ - [CenterNet detector training](https://github.com/SukiYume/DRAFTS/tree/main/object_detection#readme)
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+ - [Binary-classifier training](https://github.com/SukiYume/DRAFTS/tree/main/binary_classification#readme)
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+ - [Injection experiment](https://github.com/SukiYume/DRAFTS/tree/main/injection_experiment#readme)
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  ## Legacy checkpoints
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