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YOLOv11-Detection

Object Detection
PyTorch
TF Lite
ONNX
real_time
android
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@@ -35,29 +35,30 @@ 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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- | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.465 ms | 0 - 2 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 5.545 ms | 5 - 16 MB | FP16 | NPU | [YOLOv11-Detection.so](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.so) |
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- | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 5.934 ms | 5 - 10 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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- | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.876 ms | 0 - 97 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.899 ms | 5 - 56 MB | FP16 | NPU | [YOLOv11-Detection.so](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.so) |
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- | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.224 ms | 5 - 120 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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  | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.175 ms | 0 - 63 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.889 ms | 5 - 49 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.964 ms | 5 - 78 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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- | YOLOv11-Detection | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.45 ms | 0 - 2 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 5.355 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.445 ms | 0 - 131 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA8255 (Proxy) | SA8255P Proxy | QNN | 5.338 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 5.459 ms | 0 - 2 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA8775 (Proxy) | SA8775P Proxy | QNN | 5.358 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.446 ms | 1 - 3 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA8650 (Proxy) | SA8650P Proxy | QNN | 5.423 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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  | YOLOv11-Detection | SA8295P ADP | SA8295P | TFLITE | 10.482 ms | 0 - 59 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA8295P ADP | SA8295P | QNN | 9.436 ms | 0 - 5 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 9.029 ms | 0 - 92 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 8.512 ms | 5 - 37 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 5.71 ms | 5 - 5 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.835 ms | 5 - 5 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
 
 
 
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@@ -122,8 +123,8 @@ Profiling Results
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  YOLOv11-Detection
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 5.5
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- Estimated peak memory usage (MB): [0, 2]
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  Total # Ops : 382
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  Compute Unit(s) : NPU (382 ops)
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  ```
@@ -144,13 +145,29 @@ in memory using the `jit.trace` and then call the `submit_compile_job` API.
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  import torch
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  import qai_hub as hub
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- from qai_hub_models.models.yolov11_det import
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  # Load the model
 
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  # Device
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  device = hub.Device("Samsung Galaxy S23")
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  ```
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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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+ | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.424 ms | 0 - 16 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 5.569 ms | 5 - 21 MB | FP16 | NPU | [YOLOv11-Detection.so](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.so) |
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+ | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 6.065 ms | 5 - 10 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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+ | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.872 ms | 0 - 40 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.904 ms | 0 - 49 MB | FP16 | NPU | [YOLOv11-Detection.so](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.so) |
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+ | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.13 ms | 5 - 123 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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  | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.175 ms | 0 - 63 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.854 ms | 5 - 49 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.287 ms | 0 - 76 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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+ | YOLOv11-Detection | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.435 ms | 0 - 15 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 5.389 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | SA7255P ADP | SA7255P | TFLITE | 60.009 ms | 0 - 37 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA7255P ADP | SA7255P | QNN | 58.954 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.436 ms | 0 - 15 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA8255 (Proxy) | SA8255P Proxy | QNN | 5.38 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
 
 
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  | YOLOv11-Detection | SA8295P ADP | SA8295P | TFLITE | 10.482 ms | 0 - 59 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA8295P ADP | SA8295P | QNN | 9.427 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.554 ms | 0 - 19 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA8650 (Proxy) | SA8650P Proxy | QNN | 5.374 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | SA8775P ADP | SA8775P | TFLITE | 8.213 ms | 0 - 37 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 8.825 ms | 0 - 38 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 8.433 ms | 5 - 43 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 5.942 ms | 5 - 5 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.805 ms | 5 - 5 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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123
  YOLOv11-Detection
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 5.4
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+ Estimated peak memory usage (MB): [0, 16]
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  Total # Ops : 382
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  Compute Unit(s) : NPU (382 ops)
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  ```
 
145
  import torch
146
 
147
  import qai_hub as hub
148
+ from qai_hub_models.models.yolov11_det import Model
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  # Load the 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()
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+ sample_inputs = torch_model.sample_inputs()
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+
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+ pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
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+
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+ # Compile model on a specific device
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+ compile_job = hub.submit_compile_job(
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+ model=pt_model,
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+ device=device,
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+ input_specs=torch_model.get_input_spec(),
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+ )
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+
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+ # Get target model to run on-device
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+ target_model = compile_job.get_target_model()
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  ```
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