v0.32.0
Browse filesSee https://github.com/quic/ai-hub-models/releases/v0.32.0 for changelog.
- .gitattributes +1 -0
- DEPLOYMENT_MODEL_LICENSE.pdf +3 -0
- LICENSE +2 -0
- README.md +20 -22
.gitattributes
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DEPLOYMENT_MODEL_LICENSE.pdf filter=lfs diff=lfs merge=lfs -text
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DEPLOYMENT_MODEL_LICENSE.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:4409f93b0e82531303b3e10f52f1fdfb56467a25f05b7441c6bbd8bb8a64b42c
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size 109629
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LICENSE
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The license of the original trained model can be found at https://github.com/huggingface/transformers/blob/main/LICENSE.
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The license for the deployable model files (.tflite, .onnx, .dlc, .bin, etc.) can be found in DEPLOYMENT_MODEL_LICENSE.pdf.
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README.md
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@@ -29,29 +29,27 @@ More details on model performance across various devices, can be found
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- **Model Stats:**
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- Model checkpoint: facebook/mask2former-swin-tiny-coco-panoptic
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- Input resolution: 384x384
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- Number of parameters: 42M
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- Model size: 200.6 MB
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- Number of output classes: 100
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| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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|---|---|---|---|---|---|---|---|---|
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| Mask2Former | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_CONTEXT_BINARY | 378.
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| Mask2Former | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_CONTEXT_BINARY | 352.
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| Mask2Former | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY |
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| Mask2Former | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 224.
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| Mask2Former | float | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 378.
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| Mask2Former | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_CONTEXT_BINARY | 217.
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| Mask2Former | float | SA8295P ADP | Qualcomm® SA8295P | QNN_CONTEXT_BINARY |
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| Mask2Former | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_CONTEXT_BINARY |
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| Mask2Former | float | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 224.
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| Mask2Former | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_CONTEXT_BINARY |
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| Mask2Former | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | PRECOMPILED_QNN_ONNX |
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| Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY |
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| Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | PRECOMPILED_QNN_ONNX | 140.
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| Mask2Former | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_CONTEXT_BINARY | 125.
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| Mask2Former | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | PRECOMPILED_QNN_ONNX |
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| Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 224.
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| Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 224.
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Device : cs_8275 (ANDROID 14)
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Runtime : QNN_CONTEXT_BINARY
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Estimated inference time (ms) : 378.1
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Estimated peak memory usage (MB): [2,
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Total # Ops :
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Compute Unit(s) : npu (
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```
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- **Model Stats:**
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- Model checkpoint: facebook/mask2former-swin-tiny-coco-panoptic
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- Input resolution: 384x384
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- Number of output classes: 100
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| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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|---|---|---|---|---|---|---|---|---|
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| Mask2Former | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_CONTEXT_BINARY | 378.146 ms | 2 - 10 MB | NPU | Use Export Script |
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| Mask2Former | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_CONTEXT_BINARY | 352.578 ms | 2 - 22 MB | NPU | Use Export Script |
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| Mask2Former | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY | 218.448 ms | 2 - 5 MB | NPU | Use Export Script |
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| Mask2Former | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 224.045 ms | 3 - 12 MB | NPU | Use Export Script |
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| Mask2Former | float | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 378.146 ms | 2 - 10 MB | NPU | Use Export Script |
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| Mask2Former | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_CONTEXT_BINARY | 217.666 ms | 2 - 4 MB | NPU | Use Export Script |
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| Mask2Former | float | SA8295P ADP | Qualcomm® SA8295P | QNN_CONTEXT_BINARY | 286.528 ms | 2 - 18 MB | NPU | Use Export Script |
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| Mask2Former | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_CONTEXT_BINARY | 216.904 ms | 2 - 5 MB | NPU | Use Export Script |
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| Mask2Former | float | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 224.045 ms | 3 - 12 MB | NPU | Use Export Script |
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| Mask2Former | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_CONTEXT_BINARY | 216.853 ms | 2 - 4 MB | NPU | Use Export Script |
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| Mask2Former | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | PRECOMPILED_QNN_ONNX | 219.482 ms | 0 - 112 MB | NPU | Use Export Script |
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| Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY | 139.643 ms | 2 - 22 MB | NPU | Use Export Script |
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| Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | PRECOMPILED_QNN_ONNX | 140.598 ms | 9 - 23 MB | NPU | Use Export Script |
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| Mask2Former | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_CONTEXT_BINARY | 125.131 ms | 2 - 16 MB | NPU | Use Export Script |
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| Mask2Former | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | PRECOMPILED_QNN_ONNX | 105.317 ms | 9 - 22 MB | NPU | Use Export Script |
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| Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 224.747 ms | 2 - 2 MB | NPU | Use Export Script |
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| Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 224.607 ms | 108 - 108 MB | NPU | Use Export Script |
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Device : cs_8275 (ANDROID 14)
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Runtime : QNN_CONTEXT_BINARY
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Estimated inference time (ms) : 378.1
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Estimated peak memory usage (MB): [2, 10]
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Total # Ops : 1947
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Compute Unit(s) : npu (1947 ops) gpu (0 ops) cpu (0 ops)
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```
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