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DETR-ResNet50

Object Detection
PyTorch
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ONNX
android
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@@ -34,45 +34,44 @@ More details on model performance across various devices, can be found
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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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- | DETR-ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 10.769 ms | 0 - 20 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 11.968 ms | 3 - 23 MB | FP16 | NPU | [DETR-ResNet50.so](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.so) |
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- | DETR-ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 11.85 ms | 1 - 227 MB | FP16 | NPU | [DETR-ResNet50.onnx](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.onnx) |
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- | DETR-ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 7.739 ms | 0 - 66 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 8.464 ms | 39 - 104 MB | FP16 | NPU | [DETR-ResNet50.so](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.so) |
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- | DETR-ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 8.595 ms | 3 - 84 MB | FP16 | NPU | [DETR-ResNet50.onnx](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.onnx) |
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- | DETR-ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 7.282 ms | 0 - 65 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 8.08 ms | 2 - 69 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 8.365 ms | 3 - 64 MB | FP16 | NPU | [DETR-ResNet50.onnx](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.onnx) |
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- | DETR-ResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 10.844 ms | 0 - 19 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 10.395 ms | 3 - 6 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | SA7255P ADP | SA7255P | TFLITE | 309.27 ms | 0 - 62 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | SA7255P ADP | SA7255P | QNN | 310.539 ms | 0 - 9 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 10.845 ms | 0 - 23 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | SA8255 (Proxy) | SA8255P Proxy | QNN | 10.526 ms | 3 - 5 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | SA8295P ADP | SA8295P | TFLITE | 16.513 ms | 0 - 49 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | SA8295P ADP | SA8295P | QNN | 17.26 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 10.837 ms | 0 - 29 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | SA8650 (Proxy) | SA8650P Proxy | QNN | 10.589 ms | 3 - 5 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | SA8775P ADP | SA8775P | TFLITE | 18.395 ms | 0 - 62 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | SA8775P ADP | SA8775P | QNN | 17.921 ms | 2 - 12 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 14.458 ms | 0 - 47 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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- | DETR-ResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 15.04 ms | 0 - 48 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 11.275 ms | 3 - 3 MB | FP16 | NPU | Use Export Script |
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- | DETR-ResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 13.271 ms | 81 - 81 MB | FP16 | NPU | [DETR-ResNet50.onnx](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.onnx) |
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  ## Installation
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- This model can be installed as a Python package via pip.
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  ```bash
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- pip install "qai-hub-models[detr_resnet50]"
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  ```
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-
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  ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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  Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
@@ -151,7 +150,7 @@ from qai_hub_models.models.detr_resnet50 import Model
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  torch_model = Model.from_pretrained()
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  # Device
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- device = hub.Device("Samsung Galaxy S23")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
@@ -243,7 +242,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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  ## License
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- * The license for the original implementation of DETR-ResNet50 can be found [here](https://github.com/facebookresearch/detr/blob/main/LICENSE).
 
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  * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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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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+ | DETR-ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 10.838 ms | 0 - 20 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 11.896 ms | 3 - 21 MB | FP16 | NPU | [DETR-ResNet50.so](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.so) |
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+ | DETR-ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 12.067 ms | 1 - 238 MB | FP16 | NPU | [DETR-ResNet50.onnx](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.onnx) |
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+ | DETR-ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 7.739 ms | 0 - 64 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 8.454 ms | 3 - 68 MB | FP16 | NPU | [DETR-ResNet50.so](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.so) |
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+ | DETR-ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 8.582 ms | 3 - 89 MB | FP16 | NPU | [DETR-ResNet50.onnx](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.onnx) |
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+ | DETR-ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 7.247 ms | 0 - 66 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 8.042 ms | 3 - 70 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 7.064 ms | 3 - 64 MB | FP16 | NPU | [DETR-ResNet50.onnx](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.onnx) |
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+ | DETR-ResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 10.793 ms | 0 - 31 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 10.439 ms | 3 - 5 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | SA7255P ADP | SA7255P | TFLITE | 309.001 ms | 0 - 65 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | SA7255P ADP | SA7255P | QNN | 310.452 ms | 2 - 11 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 10.76 ms | 0 - 27 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | SA8255 (Proxy) | SA8255P Proxy | QNN | 10.612 ms | 3 - 5 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | SA8295P ADP | SA8295P | TFLITE | 16.387 ms | 0 - 49 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | SA8295P ADP | SA8295P | QNN | 17.075 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 10.858 ms | 0 - 25 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | SA8650 (Proxy) | SA8650P Proxy | QNN | 10.495 ms | 3 - 5 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | SA8775P ADP | SA8775P | TFLITE | 18.381 ms | 0 - 62 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | SA8775P ADP | SA8775P | QNN | 17.918 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 14.332 ms | 0 - 49 MB | FP16 | NPU | [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) |
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+ | DETR-ResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 15.24 ms | 3 - 48 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 10.78 ms | 3 - 3 MB | FP16 | NPU | Use Export Script |
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+ | DETR-ResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 13.158 ms | 80 - 80 MB | FP16 | NPU | [DETR-ResNet50.onnx](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.onnx) |
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  ## Installation
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+ Install the package via pip:
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  ```bash
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+ pip install "qai-hub-models[detr-resnet50]"
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  ```
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  ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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  Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
 
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  # Device
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  # Trace model
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  input_shape = torch_model.get_input_spec()
 
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  ## License
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+ * The license for the original implementation of DETR-ResNet50 can be found
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+ [here](https://github.com/facebookresearch/detr/blob/main/LICENSE).
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  * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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