v0.32.0

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

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* 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 @@
+The license for the deployable model files (.tflite, .onnx, .dlc, .bin, etc.) can be found in DEPLOYMENT_MODEL_LICENSE.pdf.

README.md

@@ -1,6 +1,6 @@
 ---
 library_name: pytorch
-license: unlicense
+license: other
 tags:
 - real_time
 - android
@@ -28,7 +28,7 @@ This model is an implementation of BGNet found [here](https://github.com/thograc
   - Model checkpoint: BGNet
   - Input resolution: 416x416
   - Number of parameters: 77.8M
-  - Model size: 297 MB
+  - Model size (float): 297 MB
 
 | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
 |---|---|---|---|---|---|---|---|---|
@@ -51,15 +51,15 @@ This model is an implementation of BGNet found [here](https://github.com/thograc
 | BGNet | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 32.92 ms | 2 - 67 MB | NPU | -- |
 | BGNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 22.92 ms | 0 - 27 MB | NPU | -- |
 | BGNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 20.458 ms | 2 - 30 MB | NPU | -- |
-| BGNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 20.366 ms | 1 - 335 MB | NPU | -- |
+| BGNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 20.146 ms | 1 - 335 MB | NPU | -- |
 | BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 16.869 ms | 0 - 245 MB | NPU | -- |
 | BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 15.067 ms | 2 - 79 MB | NPU | -- |
-| BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 14.597 ms | 4 - 92 MB | NPU | -- |
+| BGNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 14.665 ms | 4 - 89 MB | NPU | -- |
 | BGNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 14.99 ms | 1 - 148 MB | NPU | -- |
 | BGNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 15.394 ms | 2 - 71 MB | NPU | -- |
-| BGNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 15.607 ms | 2 - 73 MB | NPU | -- |
+| BGNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 12.994 ms | 2 - 72 MB | NPU | -- |
 | BGNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 23.242 ms | 413 - 413 MB | NPU | -- |
-| BGNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 21.735 ms | 154 - 154 MB | NPU | -- |
+| BGNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 21.722 ms | 155 - 155 MB | NPU | -- |