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BiseNet

Image Segmentation
PyTorch
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android
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v0.30.5

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See https://github.com/quic/ai-hub-models/releases/v0.30.5 for changelog.

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  1. README.md +33 -29
README.md CHANGED
@@ -36,31 +36,35 @@ 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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- | BiseNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 86.293 ms | 32 - 58 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 83.474 ms | 4 - 13 MB | NPU | Use Export Script |
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- | BiseNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 35.336 ms | 32 - 77 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 42.47 ms | 8 - 43 MB | NPU | Use Export Script |
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- | BiseNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 28.322 ms | 32 - 106 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 26.342 ms | 2 - 4 MB | NPU | Use Export Script |
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- | BiseNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 86.293 ms | 32 - 58 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 83.474 ms | 4 - 13 MB | NPU | Use Export Script |
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- | BiseNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 28.179 ms | 11 - 47 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 26.87 ms | 8 - 10 MB | NPU | Use Export Script |
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- | BiseNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 37.808 ms | 32 - 59 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 35.799 ms | 0 - 17 MB | NPU | Use Export Script |
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- | BiseNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 28.193 ms | 13 - 102 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 26.482 ms | 8 - 10 MB | NPU | Use Export Script |
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- | BiseNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 27.975 ms | 34 - 169 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 26.713 ms | 8 - 22 MB | NPU | Use Export Script |
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- | BiseNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 30.601 ms | 63 - 117 MB | NPU | [BiseNet.onnx](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.onnx) |
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- | BiseNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 21.029 ms | 30 - 78 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 20.832 ms | 8 - 45 MB | NPU | Use Export Script |
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- | BiseNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 23.202 ms | 73 - 117 MB | NPU | [BiseNet.onnx](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.onnx) |
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- | BiseNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 19.546 ms | 30 - 60 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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- | BiseNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 16.204 ms | 8 - 42 MB | NPU | Use Export Script |
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- | BiseNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 18.861 ms | 69 - 110 MB | NPU | [BiseNet.onnx](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.onnx) |
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- | BiseNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 25.279 ms | 8 - 8 MB | NPU | Use Export Script |
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- | BiseNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 30.965 ms | 66 - 66 MB | NPU | [BiseNet.onnx](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.onnx) |
 
 
 
 
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@@ -124,8 +128,8 @@ Profiling Results
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  BiseNet
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  Device : cs_8275 (ANDROID 14)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 86.3
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- Estimated peak memory usage (MB): [32, 58]
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  Total # Ops : 63
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  Compute Unit(s) : npu (63 ops) gpu (0 ops) cpu (0 ops)
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  ```
@@ -214,13 +218,13 @@ AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
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  You can also run the demo on-device.
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  ```bash
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- python -m qai_hub_models.models.bisenet.demo --on-device
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  ```
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  **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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  environment, please add the following to your cell (instead of the above).
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  ```
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- %run -m qai_hub_models.models.bisenet.demo -- --on-device
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  ```
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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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+ | BiseNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 86.203 ms | 31 - 60 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 484.218 ms | 2 - 11 MB | NPU | Use Export Script |
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+ | BiseNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 35.41 ms | 32 - 85 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 41.337 ms | 8 - 46 MB | NPU | Use Export Script |
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+ | BiseNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 27.611 ms | 32 - 115 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 26.353 ms | 8 - 11 MB | NPU | Use Export Script |
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+ | BiseNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 34.71 ms | 32 - 60 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 32.472 ms | 2 - 13 MB | NPU | Use Export Script |
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+ | BiseNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 86.203 ms | 31 - 60 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 484.218 ms | 2 - 11 MB | NPU | Use Export Script |
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+ | BiseNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 27.886 ms | 13 - 58 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 26.523 ms | 8 - 11 MB | NPU | Use Export Script |
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+ | BiseNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 37.84 ms | 32 - 60 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 36.072 ms | 0 - 17 MB | NPU | Use Export Script |
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+ | BiseNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 27.651 ms | 12 - 59 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 26.861 ms | 8 - 10 MB | NPU | Use Export Script |
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+ | BiseNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 34.71 ms | 32 - 60 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 32.472 ms | 2 - 13 MB | NPU | Use Export Script |
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+ | BiseNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 28.218 ms | 18 - 64 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 26.579 ms | 8 - 20 MB | NPU | Use Export Script |
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+ | BiseNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 30.921 ms | 64 - 139 MB | NPU | [BiseNet.onnx](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.onnx) |
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+ | BiseNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 20.676 ms | 30 - 82 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 20.607 ms | 8 - 50 MB | NPU | Use Export Script |
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+ | BiseNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 26.167 ms | 73 - 121 MB | NPU | [BiseNet.onnx](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.onnx) |
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+ | BiseNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 19.255 ms | 31 - 64 MB | NPU | [BiseNet.tflite](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.tflite) |
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+ | BiseNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 16.623 ms | 8 - 47 MB | NPU | Use Export Script |
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+ | BiseNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 21.068 ms | 73 - 120 MB | NPU | [BiseNet.onnx](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.onnx) |
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+ | BiseNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 25.143 ms | 8 - 8 MB | NPU | Use Export Script |
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+ | BiseNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 30.243 ms | 66 - 66 MB | NPU | [BiseNet.onnx](https://huggingface.co/qualcomm/BiseNet/blob/main/BiseNet.onnx) |
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  BiseNet
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  Device : cs_8275 (ANDROID 14)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 86.2
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+ Estimated peak memory usage (MB): [31, 60]
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  Total # Ops : 63
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  Compute Unit(s) : npu (63 ops) gpu (0 ops) cpu (0 ops)
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  ```
 
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  You can also run the demo on-device.
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  ```bash
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+ python -m qai_hub_models.models.bisenet.demo --eval-mode on-device
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  ```
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  **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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  environment, please add the following to your cell (instead of the above).
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  ```
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+ %run -m qai_hub_models.models.bisenet.demo -- --eval-mode on-device
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  ```
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