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Mask2Former

Image Segmentation
PyTorch
android
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Community
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Commit
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v0.38.0

Browse files

See https://github.com/quic/ai-hub-models/releases/v0.38.0 for changelog.

Files changed (32) hide show
  1. README.md +17 -19
  2. precompiled/qualcomm-qcs8275-proxy/Mask2Former_float.bin +2 -2
  3. precompiled/qualcomm-qcs8275-proxy/tool-versions.yaml +1 -1
  4. precompiled/qualcomm-qcs8450-proxy/Mask2Former_float.bin +2 -2
  5. precompiled/qualcomm-qcs8450-proxy/tool-versions.yaml +1 -1
  6. precompiled/qualcomm-qcs8550-proxy/Mask2Former_float.bin +2 -2
  7. precompiled/qualcomm-qcs8550-proxy/Mask2Former_float.onnx.zip +2 -2
  8. precompiled/qualcomm-qcs8550-proxy/tool-versions.yaml +2 -2
  9. precompiled/qualcomm-qcs9075-proxy/Mask2Former_float.bin +2 -2
  10. precompiled/qualcomm-qcs9075-proxy/tool-versions.yaml +1 -1
  11. precompiled/qualcomm-sa7255p/Mask2Former_float.bin +2 -2
  12. precompiled/qualcomm-sa7255p/tool-versions.yaml +1 -1
  13. precompiled/qualcomm-sa8255p-proxy/Mask2Former_float.bin +2 -2
  14. precompiled/qualcomm-sa8255p-proxy/tool-versions.yaml +1 -1
  15. precompiled/qualcomm-sa8295p/Mask2Former_float.bin +2 -2
  16. precompiled/qualcomm-sa8295p/tool-versions.yaml +1 -1
  17. precompiled/qualcomm-sa8650p-proxy/Mask2Former_float.bin +2 -2
  18. precompiled/qualcomm-sa8650p-proxy/tool-versions.yaml +1 -1
  19. precompiled/qualcomm-sa8775p/Mask2Former_float.bin +2 -2
  20. precompiled/qualcomm-sa8775p/tool-versions.yaml +1 -1
  21. precompiled/{qualcomm-snapdragon-8-elite → qualcomm-snapdragon-8-elite-for-galaxy}/Mask2Former_float.bin +2 -2
  22. precompiled/{qualcomm-snapdragon-8-elite → qualcomm-snapdragon-8-elite-for-galaxy}/Mask2Former_float.onnx.zip +2 -2
  23. precompiled/{qualcomm-snapdragon-8gen2 → qualcomm-snapdragon-8-elite-for-galaxy}/tool-versions.yaml +2 -2
  24. precompiled/qualcomm-snapdragon-8-elite/tool-versions.yaml +0 -4
  25. precompiled/qualcomm-snapdragon-8gen2/Mask2Former_float.bin +0 -3
  26. precompiled/qualcomm-snapdragon-8gen2/Mask2Former_float.onnx.zip +0 -3
  27. precompiled/qualcomm-snapdragon-8gen3/Mask2Former_float.bin +2 -2
  28. precompiled/qualcomm-snapdragon-8gen3/Mask2Former_float.onnx.zip +2 -2
  29. precompiled/qualcomm-snapdragon-8gen3/tool-versions.yaml +2 -2
  30. precompiled/qualcomm-snapdragon-x-elite/Mask2Former_float.bin +2 -2
  31. precompiled/qualcomm-snapdragon-x-elite/Mask2Former_float.onnx.zip +2 -2
  32. precompiled/qualcomm-snapdragon-x-elite/tool-versions.yaml +2 -2
README.md CHANGED
@@ -34,24 +34,22 @@ More details on model performance across various devices, can be found
34
 
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
36
  |---|---|---|---|---|---|---|---|---|
37
- | Mask2Former | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_CONTEXT_BINARY | 258.833 ms | 2 - 11 MB | NPU | Use Export Script |
38
- | Mask2Former | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_CONTEXT_BINARY | 216.934 ms | 2 - 23 MB | NPU | Use Export Script |
39
- | Mask2Former | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY | 141.346 ms | 2 - 5 MB | NPU | Use Export Script |
40
- | Mask2Former | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | PRECOMPILED_QNN_ONNX | 140.423 ms | 0 - 114 MB | NPU | Use Export Script |
41
- | Mask2Former | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 144.085 ms | 2 - 12 MB | NPU | Use Export Script |
42
- | Mask2Former | float | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 258.833 ms | 2 - 11 MB | NPU | Use Export Script |
43
- | Mask2Former | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_CONTEXT_BINARY | 140.935 ms | 2 - 4 MB | NPU | Use Export Script |
44
- | Mask2Former | float | SA8295P ADP | Qualcomm® SA8295P | QNN_CONTEXT_BINARY | 189.634 ms | 2 - 17 MB | NPU | Use Export Script |
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- | Mask2Former | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_CONTEXT_BINARY | 140.14 ms | 2 - 5 MB | NPU | Use Export Script |
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- | Mask2Former | float | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 144.085 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 | 141.345 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 | 140.294 ms | 0 - 113 MB | NPU | Use Export Script |
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- | Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY | 92.755 ms | 2 - 21 MB | NPU | Use Export Script |
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- | Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | PRECOMPILED_QNN_ONNX | 94.389 ms | 9 - 25 MB | NPU | Use Export Script |
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- | Mask2Former | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_CONTEXT_BINARY | 67.053 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 | 81.414 ms | 7 - 21 MB | NPU | Use Export Script |
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- | Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 141.045 ms | 2 - 2 MB | NPU | Use Export Script |
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- | Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 141.847 ms | 111 - 111 MB | NPU | Use Export Script |
55
 
56
 
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@@ -133,7 +131,7 @@ from qai_hub_models.models.mask2former import Model
133
  torch_model = Model.from_pretrained()
134
 
135
  # Device
136
- device = hub.Device("Samsung Galaxy S24")
137
 
138
  # Trace model
139
  input_shape = torch_model.get_input_spec()
 
34
 
35
  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
36
  |---|---|---|---|---|---|---|---|---|
37
+ | Mask2Former | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_CONTEXT_BINARY | 260.131 ms | 2 - 11 MB | NPU | Use Export Script |
38
+ | Mask2Former | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_CONTEXT_BINARY | 216.851 ms | 2 - 22 MB | NPU | Use Export Script |
39
+ | Mask2Former | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY | 138.804 ms | 2 - 4 MB | NPU | Use Export Script |
40
+ | Mask2Former | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | PRECOMPILED_QNN_ONNX | 138.292 ms | 0 - 112 MB | NPU | Use Export Script |
41
+ | Mask2Former | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 143.752 ms | 2 - 11 MB | NPU | Use Export Script |
42
+ | Mask2Former | float | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 260.131 ms | 2 - 11 MB | NPU | Use Export Script |
43
+ | Mask2Former | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_CONTEXT_BINARY | 141.472 ms | 2 - 5 MB | NPU | Use Export Script |
44
+ | Mask2Former | float | SA8295P ADP | Qualcomm® SA8295P | QNN_CONTEXT_BINARY | 190.166 ms | 2 - 16 MB | NPU | Use Export Script |
45
+ | Mask2Former | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_CONTEXT_BINARY | 141.517 ms | 2 - 5 MB | NPU | Use Export Script |
46
+ | Mask2Former | float | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 143.752 ms | 2 - 11 MB | NPU | Use Export Script |
47
+ | Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY | 92.646 ms | 2 - 20 MB | NPU | Use Export Script |
48
+ | Mask2Former | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | PRECOMPILED_QNN_ONNX | 93.905 ms | 9 - 25 MB | NPU | Use Export Script |
49
+ | Mask2Former | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_CONTEXT_BINARY | 67.232 ms | 2 - 15 MB | NPU | Use Export Script |
50
+ | Mask2Former | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | PRECOMPILED_QNN_ONNX | 68.409 ms | 9 - 22 MB | NPU | Use Export Script |
51
+ | Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 140.978 ms | 2 - 2 MB | NPU | Use Export Script |
52
+ | Mask2Former | float | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 142.066 ms | 111 - 111 MB | NPU | Use Export Script |
 
 
53
 
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131
  torch_model = Model.from_pretrained()
132
 
133
  # Device
134
+ device = hub.Device("Samsung Galaxy S25")
135
 
136
  # Trace model
137
  input_shape = torch_model.get_input_spec()
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