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sam2.1_hiera_large checkpoint, 224.4M params).| File | Size | Notes |
|---|---|---|
encoder.onnx | 852 MB | Image encoder, plain ONNX (fp32). Loads in native onnxruntime (Python/Go/C). NOT converted to .ort — onnxruntime-web's strict shape inference is not a target for this repo. |
decoder.onnx | 16.5 MB | Prompt decoder (points/box → masks), standard ONNX |
sam2.1_hiera_large_20260221.zip, revision 6a3ac868340a3196a349050a6efae22a5acc0330, exported with samexporter)encoder.onnx / decoder.onnx, otherwise unmodified.image [1,3,1024,1024] float32 (ImageNet-normalized) → high_res_feats_0 [1,32,256,256], high_res_feats_1 [1,64,128,128], image_embed [1,256,64,64].image_embed, high_res_feats_0/1, point_coords [n,p,2], point_labels [n,p] float32, mask_input [n,1,256,256], has_mask_input [n] → masks [n,3,256,256] logits, iou_predictions [n,3].