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
- LiteHRNet.onnx +2 -2
- LiteHRNet.tflite +2 -2
- README.md +20 -20
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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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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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/HRNet/Lite-HRNet/blob/hrnet/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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LiteHRNet.onnx
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LiteHRNet.tflite
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README.md
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@@ -29,26 +29,26 @@ More details on model performance across various devices, can be found
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- **Model Stats:**
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- Input resolution: 256x192
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- Number of parameters: 1.11M
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-
- Model size: 4.
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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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-
| LiteHRNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 8.
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-
| LiteHRNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 5.
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-
| LiteHRNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 4.
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-
| LiteHRNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 5.
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| LiteHRNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 8.
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-
| LiteHRNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 4.
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-
| LiteHRNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 6.
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| LiteHRNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 4.
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| LiteHRNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 5.
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| LiteHRNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 4.
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| LiteHRNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 6.
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| LiteHRNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.
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-
| LiteHRNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 3.
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-
| LiteHRNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 2.
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| LiteHRNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 4.
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| LiteHRNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.
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@@ -112,10 +112,10 @@ Profiling Results
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LiteHRNet
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Device : cs_8275 (ANDROID 14)
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Runtime : TFLITE
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-
Estimated inference time (ms) : 8.
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Estimated peak memory usage (MB): [0, 65]
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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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- Input resolution: 256x192
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- Number of parameters: 1.11M
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- Model size (float): 4.49 MB
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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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+
| LiteHRNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 8.812 ms | 0 - 65 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 5.228 ms | 0 - 68 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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+
| LiteHRNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 4.51 ms | 0 - 26 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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+
| LiteHRNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 5.542 ms | 0 - 64 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 8.812 ms | 0 - 65 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 4.553 ms | 0 - 21 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 6.483 ms | 0 - 62 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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+
| LiteHRNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 4.543 ms | 0 - 23 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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+
| LiteHRNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 5.542 ms | 0 - 64 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
|
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+
| LiteHRNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 4.587 ms | 0 - 23 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 6.02 ms | 0 - 21 MB | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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| LiteHRNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.757 ms | 0 - 71 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 3.707 ms | 0 - 59 MB | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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| LiteHRNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 2.816 ms | 0 - 64 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 4.03 ms | 1 - 52 MB | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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| LiteHRNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.494 ms | 4 - 4 MB | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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LiteHRNet
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Device : cs_8275 (ANDROID 14)
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Runtime : TFLITE
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+
Estimated inference time (ms) : 8.8
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Estimated peak memory usage (MB): [0, 65]
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+
Total # Ops : 1112
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Compute Unit(s) : npu (1110 ops) gpu (0 ops) cpu (2 ops)
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```
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