v0.32.0

See https://github.com/quic/ai-hub-models/releases/v0.32.0 for changelog.

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 Segment-Anything-Model-2_SAM2Decoder.dlc filter=lfs diff=lfs merge=lfs -text
 Segment-Anything-Model-2_SAM2Encoder.dlc filter=lfs diff=lfs merge=lfs -text
+DEPLOYMENT_MODEL_LICENSE.pdf filter=lfs diff=lfs merge=lfs -text

DEPLOYMENT_MODEL_LICENSE.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4409f93b0e82531303b3e10f52f1fdfb56467a25f05b7441c6bbd8bb8a64b42c
+size 109629

LICENSE

@@ -0,0 +1,2 @@
+The license of the original trained model can be found at https://github.com/facebookresearch/sam2/blob/main/LICENSE.
+The license for the deployable model files (.tflite, .onnx, .dlc, .bin, etc.) can be found in DEPLOYMENT_MODEL_LICENSE.pdf.

README.md

@@ -31,9 +31,9 @@ More details on model performance across various devices, can be found
   - Model checkpoint: sam2.1_hiera_t
   - Input resolution: 720p (720x1280)
   - Number of parameters (SAM2Encoder): 33.5M
-  - Model size (SAM2Encoder): 128 MB
+  - Model size (SAM2Encoder) (float): 128 MB
   - Number of parameters (SAM2Decoder): 6.22M
-  - Model size (SAM2Decoder): 23.7 MB
+  - Model size (SAM2Decoder) (float): 23.7 MB
 
 | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
 |---|---|---|---|---|---|---|---|---|