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Yolo-R

Object Detection
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real_time
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v0.60.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.

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  1. README.md +70 -48
README.md CHANGED
@@ -16,18 +16,18 @@ pipeline_tag: object-detection
16
  YoloR is a machine learning model that predicts bounding boxes and classes of objects in an image.
17
 
18
  This is based on the implementation of Yolo-R found [here](https://github.com/WongKinYiu/yolor).
19
- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/yolor) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
22
 
23
  ## Getting Started
24
  Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
25
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/yolor) Python library to compile and export the model with your own:
26
  - Custom weights (e.g., fine-tuned checkpoints)
27
  - Custom input shapes
28
  - Target device and runtime configurations
29
 
30
- See our repository for [Yolo-R on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/yolor) for usage instructions.
31
 
32
 
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  ## Model Details
@@ -35,57 +35,79 @@ See our repository for [Yolo-R on GitHub](https://github.com/qualcomm/ai-hub-mod
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  **Model Type:** Model_use_case.object_detection
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37
  **Model Stats:**
38
- - Model checkpoint: yolor_p6
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  - Input resolution: 640x640
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- - Number of parameters: 4.68M
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  - Model size (float): 17.9 MB
 
42
 
43
  ## Performance Summary
44
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
45
  |---|---|---|---|---|---|---
46
- | Yolo-R | ONNX | float | Snapdragon® X2 Elite | 26.79 ms | 5 - 5 MB | NPU
47
- | Yolo-R | ONNX | float | Snapdragon® X Elite | 40.751 ms | 75 - 75 MB | NPU
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- | Yolo-R | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 31.447 ms | 0 - 331 MB | NPU
49
- | Yolo-R | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 92.147 ms | 6 - 524 MB | NPU
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- | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 40.026 ms | 5 - 8 MB | NPU
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- | Yolo-R | ONNX | float | Qualcomm® QCS8450 | 92.147 ms | 6 - 524 MB | NPU
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- | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 47.694 ms | 5 - 12 MB | NPU
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- | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 40.751 ms | 75 - 75 MB | NPU
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- | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 28.044 ms | 3 - 233 MB | NPU
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- | Yolo-R | ONNX | float | Snapdragon® 8 Elite Mobile | 28.044 ms | 3 - 233 MB | NPU
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- | Yolo-R | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 27.585 ms | 3 - 295 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Snapdragon® X2 Elite | 19.175 ms | 2 - 2 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Snapdragon® X Elite | 30.831 ms | 41 - 41 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 20.922 ms | 1 - 464 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 42.424 ms | 3 - 461 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 29.41 ms | 2 - 6 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Qualcomm® QCS8450 | 42.424 ms | 3 - 461 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 30.957 ms | 1 - 6 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 30.831 ms | 41 - 41 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 17.867 ms | 2 - 365 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 17.867 ms | 2 - 365 MB | NPU
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- | Yolo-R | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 18.762 ms | 1 - 425 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 8.641 ms | 2 - 2 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Snapdragon® X Elite | 19.509 ms | 2 - 2 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 12.447 ms | 2 - 356 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 28.046 ms | 2 - 358 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 91.189 ms | 2 - 7 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8275 | 37.802 ms | 2 - 291 MB | NPU
74
- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.513 ms | 2 - 4 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8775P | 18.744 ms | 1 - 291 MB | NPU
76
- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8650P | 18.744 ms | 1 - 291 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8255P | 18.744 ms | 1 - 291 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 28.046 ms | 2 - 358 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 18.861 ms | 0 - 4 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 19.509 ms | 2 - 2 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 219.672 ms | 2 - 399 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 25.965 ms | 2 - 309 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 9.391 ms | 2 - 304 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA7255P | 37.802 ms | 2 - 291 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8295P | 24.277 ms | 0 - 292 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 9.391 ms | 2 - 304 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 7.859 ms | 2 - 310 MB | NPU
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- | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 25.965 ms | 2 - 309 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
89
 
90
  ## License
91
  * The license for the original implementation of Yolo-R can be found
 
16
  YoloR is a machine learning model that predicts bounding boxes and classes of objects in an image.
17
 
18
  This is based on the implementation of Yolo-R found [here](https://github.com/WongKinYiu/yolor).
19
+ This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/yolor) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
22
 
23
  ## Getting Started
24
  Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
25
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/yolor) Python library to compile and export the model with your own:
26
  - Custom weights (e.g., fine-tuned checkpoints)
27
  - Custom input shapes
28
  - Target device and runtime configurations
29
 
30
+ See our repository for [Yolo-R on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/yolor) for usage instructions.
31
 
32
 
33
  ## Model Details
 
35
  **Model Type:** Model_use_case.object_detection
36
 
37
  **Model Stats:**
 
38
  - Input resolution: 640x640
39
+ - Model checkpoint: yolor_p6
40
  - Model size (float): 17.9 MB
41
+ - Number of parameters: 4.68M
42
 
43
  ## Performance Summary
44
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
45
  |---|---|---|---|---|---|---
46
+ | Yolo-R | ONNX | float | Snapdragon® X2 Elite | 27.665 ms | 5 - 5 MB | NPU
47
+ | Yolo-R | ONNX | float | Snapdragon® X Elite | 45.733 ms | 72 - 72 MB | NPU
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+ | Yolo-R | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 35.31 ms | 2 - 251 MB | NPU
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+ | Yolo-R | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 72.486 ms | 6 - 319 MB | NPU
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+ | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 53.852 ms | 5 - 13 MB | NPU
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+ | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 45.465 ms | 0 - 98 MB | NPU
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+ | Yolo-R | ONNX | float | Qualcomm® QCS8450 | 72.486 ms | 6 - 319 MB | NPU
53
+ | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 52.038 ms | 5 - 12 MB | NPU
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+ | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 45.733 ms | 72 - 72 MB | NPU
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+ | Yolo-R | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 30.915 ms | 3 - 197 MB | NPU
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+ | Yolo-R | ONNX | float | Snapdragon® 8 Elite Mobile | 30.915 ms | 3 - 197 MB | NPU
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+ | Yolo-R | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 27.852 ms | 2 - 202 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Snapdragon® X2 Elite | 15.428 ms | 2 - 2 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Snapdragon® X Elite | 23.694 ms | 37 - 37 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 15.967 ms | 2 - 398 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 31.953 ms | 0 - 400 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 21.61 ms | 1 - 7 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 22.431 ms | 0 - 41 MB | NPU
64
+ | Yolo-R | ONNX | w8a16 | Qualcomm® QCS8450 | 31.953 ms | 0 - 400 MB | NPU
65
+ | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 25.428 ms | 1 - 6 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 23.694 ms | 37 - 37 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 47.717 ms | 3 - 320 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 13.649 ms | 1 - 333 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 13.649 ms | 1 - 333 MB | NPU
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+ | Yolo-R | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 14.577 ms | 1 - 344 MB | NPU
71
+ | Yolo-R | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 47.717 ms | 3 - 320 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Snapdragon® X2 Elite | 18.14 ms | 5 - 5 MB | NPU
73
+ | Yolo-R | QNN_DLC | float | Snapdragon® X Elite | 51.907 ms | 5 - 5 MB | NPU
74
+ | Yolo-R | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 40.884 ms | 4 - 257 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 66.259 ms | 5 - 312 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 57.99 ms | 5 - 12 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 124.927 ms | 1 - 198 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 55.571 ms | 5 - 7 MB | NPU
79
+ | Yolo-R | QNN_DLC | float | Qualcomm® SA8775P | 61.39 ms | 1 - 198 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Qualcomm® SA8650P | 61.39 ms | 1 - 198 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Qualcomm® SA8255P | 61.39 ms | 1 - 198 MB | NPU
82
+ | Yolo-R | QNN_DLC | float | Qualcomm® QCS8450 | 66.259 ms | 5 - 312 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 61.466 ms | 5 - 11 MB | NPU
84
+ | Yolo-R | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 51.907 ms | 5 - 5 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 22.545 ms | 0 - 194 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Qualcomm® SA7255P | 124.927 ms | 1 - 198 MB | NPU
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+ | Yolo-R | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 22.545 ms | 0 - 194 MB | NPU
88
+ | Yolo-R | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 19.121 ms | 5 - 209 MB | NPU
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+ | Yolo-R | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 7.058 ms | 2 - 2 MB | NPU
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+ | Yolo-R | QNN_DLC | w8a16 | Snapdragon® X Elite | 16.207 ms | 2 - 2 MB | NPU
91
+ | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 10.005 ms | 2 - 381 MB | NPU
92
+ | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 25.325 ms | 2 - 382 MB | NPU
93
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 64.881 ms | 3 - 7 MB | NPU
94
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 14.018 ms | 2 - 7 MB | NPU
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+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 32.603 ms | 1 - 311 MB | NPU
96
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.22 ms | 2 - 6 MB | NPU
97
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8775P | 15.484 ms | 0 - 310 MB | NPU
98
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8650P | 15.484 ms | 0 - 310 MB | NPU
99
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8255P | 15.484 ms | 0 - 310 MB | NPU
100
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 25.325 ms | 2 - 382 MB | NPU
101
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 15.853 ms | 2 - 7 MB | NPU
102
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 16.207 ms | 2 - 2 MB | NPU
103
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 175.679 ms | 2 - 342 MB | NPU
104
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 21.501 ms | 2 - 326 MB | NPU
105
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 7.386 ms | 2 - 321 MB | NPU
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+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA7255P | 32.603 ms | 1 - 311 MB | NPU
107
+ | Yolo-R | QNN_DLC | w8a16 | Qualcomm® SA8295P | 20.832 ms | 0 - 312 MB | NPU
108
+ | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 7.386 ms | 2 - 321 MB | NPU
109
+ | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 5.859 ms | 2 - 327 MB | NPU
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+ | Yolo-R | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 21.501 ms | 2 - 326 MB | NPU
111
 
112
  ## License
113
  * The license for the original implementation of Yolo-R can be found