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Mask2Former

Image Segmentation
PyTorch
android
Model card Files
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v0.34.0

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See https://github.com/quic/ai-hub-models/releases/v0.34.0 for changelog.

Files changed (27) hide show
  1. README.md +15 -24
  2. precompiled/qualcomm-qcs8275-proxy/Mask2Former.bin +2 -2
  3. precompiled/qualcomm-qcs8275-proxy/sdk_versions.yml +3 -0
  4. precompiled/qualcomm-qcs8450-proxy/Mask2Former.bin +1 -1
  5. precompiled/qualcomm-qcs8450-proxy/sdk_versions.yml +3 -0
  6. precompiled/qualcomm-qcs8550-proxy/Mask2Former.bin +2 -2
  7. precompiled/qualcomm-qcs8550-proxy/sdk_versions.yml +3 -0
  8. precompiled/qualcomm-qcs9075-proxy/Mask2Former.bin +2 -2
  9. precompiled/qualcomm-qcs9075-proxy/sdk_versions.yml +3 -0
  10. precompiled/qualcomm-sa7255p/Mask2Former.bin +2 -2
  11. precompiled/qualcomm-sa7255p/sdk_versions.yml +3 -0
  12. precompiled/qualcomm-sa8255p-proxy/Mask2Former.bin +1 -1
  13. precompiled/qualcomm-sa8255p-proxy/sdk_versions.yml +3 -0
  14. precompiled/qualcomm-sa8295p/Mask2Former.bin +1 -1
  15. precompiled/qualcomm-sa8295p/sdk_versions.yml +3 -0
  16. precompiled/qualcomm-sa8650p-proxy/Mask2Former.bin +2 -2
  17. precompiled/qualcomm-sa8650p-proxy/sdk_versions.yml +3 -0
  18. precompiled/qualcomm-sa8775p/Mask2Former.bin +2 -2
  19. precompiled/qualcomm-sa8775p/sdk_versions.yml +3 -0
  20. precompiled/qualcomm-snapdragon-8-elite/Mask2Former.bin +2 -2
  21. precompiled/qualcomm-snapdragon-8-elite/sdk_versions.yml +5 -0
  22. precompiled/qualcomm-snapdragon-8gen2/Mask2Former.bin +2 -2
  23. precompiled/qualcomm-snapdragon-8gen2/sdk_versions.yml +5 -0
  24. precompiled/qualcomm-snapdragon-8gen3/Mask2Former.bin +2 -2
  25. precompiled/qualcomm-snapdragon-8gen3/sdk_versions.yml +5 -0
  26. precompiled/qualcomm-snapdragon-x-elite/Mask2Former.bin +2 -2
  27. precompiled/qualcomm-snapdragon-x-elite/sdk_versions.yml +5 -0
README.md CHANGED
@@ -23,6 +23,7 @@ More details on model performance across various devices, can be found
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  [here](https://aihub.qualcomm.com/models/mask2former).
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  ### Model Details
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  - **Model Type:** Model_use_case.semantic_segmentation
@@ -33,22 +34,22 @@ More details on model performance across various devices, can be found
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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 | 378.705 ms | 2 - 11 MB | NPU | Use Export Script |
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- | Mask2Former | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_CONTEXT_BINARY | 352.608 ms | 2 - 18 MB | NPU | Use Export Script |
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- | Mask2Former | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY | 215.63 ms | 2 - 5 MB | NPU | Use Export Script |
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- | Mask2Former | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 224.11 ms | 2 - 12 MB | NPU | Use Export Script |
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- | Mask2Former | float | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 378.705 ms | 2 - 11 MB | NPU | Use Export Script |
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- | Mask2Former | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_CONTEXT_BINARY | 217.445 ms | 2 - 4 MB | NPU | Use Export Script |
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- | Mask2Former | float | SA8295P ADP | Qualcomm® SA8295P | QNN_CONTEXT_BINARY | 286.527 ms | 2 - 18 MB | NPU | Use Export Script |
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- | Mask2Former | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_CONTEXT_BINARY | 217.55 ms | 2 - 4 MB | NPU | Use Export Script |
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- | Mask2Former | float | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 224.11 ms | 2 - 12 MB | NPU | Use Export Script |
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- | Mask2Former | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_CONTEXT_BINARY | 216.916 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 | 217.447 ms | 13 - 16 MB | NPU | Use Export Script |
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- | Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY | 139.435 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 | 140.413 ms | 9 - 24 MB | NPU | Use Export Script |
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- | Mask2Former | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_CONTEXT_BINARY | 104.148 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 | 126.653 ms | 8 - 22 MB | NPU | Use Export Script |
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- | Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 223.948 ms | 2 - 2 MB | NPU | Use Export Script |
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  | Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 224.631 ms | 108 - 108 MB | NPU | Use Export Script |
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@@ -107,17 +108,7 @@ device. This script does the following:
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  ```bash
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  python -m qai_hub_models.models.mask2former.export
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  ```
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- ```
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- Profiling Results
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- ------------------------------------------------------------
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- Mask2Former
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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) : 378.7
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- Estimated peak memory usage (MB): [2, 11]
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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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  ## How does this work?
 
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  [here](https://aihub.qualcomm.com/models/mask2former).
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+
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  ### Model Details
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  - **Model Type:** Model_use_case.semantic_segmentation
 
34
 
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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 | 378.879 ms | 2 - 11 MB | NPU | Use Export Script |
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+ | Mask2Former | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_CONTEXT_BINARY | 353.347 ms | 2 - 19 MB | NPU | Use Export Script |
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+ | Mask2Former | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY | 217.043 ms | 2 - 4 MB | NPU | Use Export Script |
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+ | Mask2Former | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 224.306 ms | 2 - 11 MB | NPU | Use Export Script |
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+ | Mask2Former | float | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 378.879 ms | 2 - 11 MB | NPU | Use Export Script |
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+ | Mask2Former | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_CONTEXT_BINARY | 218.179 ms | 2 - 8 MB | NPU | Use Export Script |
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+ | Mask2Former | float | SA8295P ADP | Qualcomm® SA8295P | QNN_CONTEXT_BINARY | 286.516 ms | 2 - 18 MB | NPU | Use Export Script |
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+ | Mask2Former | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_CONTEXT_BINARY | 217.122 ms | 2 - 4 MB | NPU | Use Export Script |
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+ | Mask2Former | float | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 224.306 ms | 2 - 11 MB | NPU | Use Export Script |
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+ | Mask2Former | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_CONTEXT_BINARY | 218.906 ms | 2 - 5 MB | NPU | Use Export Script |
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  | Mask2Former | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | PRECOMPILED_QNN_ONNX | 217.447 ms | 13 - 16 MB | NPU | Use Export Script |
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+ | Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY | 140.192 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 | 140.413 ms | 9 - 24 MB | NPU | Use Export Script |
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+ | Mask2Former | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_CONTEXT_BINARY | 104.721 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 | 126.653 ms | 8 - 22 MB | NPU | Use Export Script |
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+ | Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 223.84 ms | 2 - 2 MB | NPU | Use Export Script |
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  | Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 224.631 ms | 108 - 108 MB | NPU | Use Export Script |
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  ```bash
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  python -m qai_hub_models.models.mask2former.export
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  ```
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+
 
 
 
 
 
 
 
 
 
 
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  ## How does this work?
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