| --- |
| license: apache-2.0 |
| tags: |
| - sam2 |
| - segment-anything |
| - onnx |
| - mirror |
| library_name: onnxruntime |
| --- |
| |
| # SAM2 ONNX Mirror (A.I.M.I) |
|
|
| Mirror of [SharpAI's SAM2 ONNX exports](https://huggingface.co/SharpAI) for A.I.M.I's "Smart-Mask" (click-to-select) feature. Used by the Edit tab's SAM2 workflow — user clicks anywhere on a subject, gets a pixel-perfect alpha mask in ~500 ms. |
|
|
| Contents unmodified from upstream. |
|
|
| ## Files |
|
|
| ### `hiera-tiny/` — small + fast (default at all tiers) |
| | File | Size | Purpose | |
| |---|---|---| |
| | `encoder.onnx` | 128 MB | Image encoder (run once per image) | |
| | `decoder.onnx` | 20 MB | Click-to-mask decoder (run per click) | |
|
|
| ### `hiera-base-plus/` — slightly better masks, slightly slower (Expert option) |
| | File | Size | Purpose | |
| |---|---|---| |
| | `encoder.onnx` | 324 MB | Image encoder (base-plus variant) | |
| | `decoder.onnx` | 20 MB | Click-to-mask decoder | |
|
|
| Total: ~500 MB. |
|
|
| ## License |
|
|
| Meta AI's Segment Anything 2 (SAM2) code + weights: **Apache 2.0**. ONNX conversion by [SharpAI](https://huggingface.co/SharpAI) on HuggingFace, redistributed here under the same license. |
|
|
| ## Attribution |
|
|
| - **SAM2**: Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár, Christoph Feichtenhofer — *SAM 2: Segment Anything in Images and Videos* (Meta AI Research, 2024). |
| - **ONNX export**: SharpAI on HuggingFace. |
|
|
