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LiteHRNet

Keypoint Detection
PyTorch
LiteRT
android
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@@ -1,6 +1,6 @@
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  ---
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  library_name: pytorch
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- license: apache-2.0
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  tags:
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  - android
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  pipeline_tag: keypoint-detection
@@ -25,30 +25,30 @@ More details on model performance across various devices, can be found
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  ### Model Details
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- - **Model Type:** Pose estimation
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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: 4.56 MB
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- | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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- | LiteHRNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 4.592 ms | 0 - 21 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.493 ms | 0 - 27 MB | FP16 | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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- | LiteHRNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 2.826 ms | 0 - 60 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.497 ms | 0 - 56 MB | FP16 | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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- | LiteHRNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.888 ms | 0 - 54 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 4.107 ms | 1 - 51 MB | FP16 | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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- | LiteHRNet | SA7255P ADP | SA7255P | TFLITE | 24.146 ms | 1 - 51 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 4.597 ms | 0 - 15 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | SA8295P ADP | SA8295P | TFLITE | 6.396 ms | 0 - 54 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 4.602 ms | 0 - 14 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | SA8775P ADP | SA8775P | TFLITE | 6.66 ms | 0 - 51 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | QCS8275 (Proxy) | QCS8275 Proxy | TFLITE | 24.146 ms | 1 - 51 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 4.602 ms | 0 - 17 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | QCS9075 (Proxy) | QCS9075 Proxy | TFLITE | 6.66 ms | 0 - 51 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 5.467 ms | 0 - 62 MB | FP16 | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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- | LiteHRNet | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.108 ms | 4 - 4 MB | FP16 | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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@@ -110,12 +110,12 @@ python -m qai_hub_models.models.litehrnet.export
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  Profiling Results
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  ------------------------------------------------------------
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  LiteHRNet
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- Device : Samsung Galaxy S23 (13)
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- Runtime : TFLITE
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- Estimated inference time (ms) : 4.6
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- Estimated peak memory usage (MB): [0, 21]
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- Total # Ops : 1113
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- Compute Unit(s) : NPU (1111 ops) CPU (2 ops)
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  ```
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  ---
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  library_name: pytorch
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+ license: other
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  tags:
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  - android
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  pipeline_tag: keypoint-detection
 
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  ### Model Details
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+ - **Model Type:** Model_use_case.pose_estimation
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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: 4.56 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 | 9.016 ms | 0 - 51 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 | 5.4 ms | 0 - 61 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 | 4.599 ms | 0 - 14 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 | 5.629 ms | 0 - 52 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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+ | LiteHRNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 9.016 ms | 0 - 51 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 | 4.604 ms | 0 - 15 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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+ | LiteHRNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 6.353 ms | 0 - 54 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 | 4.606 ms | 0 - 15 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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+ | LiteHRNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 5.629 ms | 0 - 52 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 | 4.602 ms | 0 - 15 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 | 7.375 ms | 0 - 25 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 | 2.847 ms | 0 - 59 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 | 4.592 ms | 1 - 56 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 | 2.869 ms | 0 - 52 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 | 4.149 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 | 7.993 ms | 4 - 4 MB | NPU | [LiteHRNet.onnx](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx) |
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  Profiling Results
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  ------------------------------------------------------------
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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) : 9.0
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+ Estimated peak memory usage (MB): [0, 51]
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+ Total # Ops : 1113
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+ Compute Unit(s) : npu (1111 ops) gpu (0 ops) cpu (2 ops)
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  ```
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