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RTMDet

Object Detection
PyTorch
real_time
android
Model card Files
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v0.63.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.63.0 for changelog.

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  1. README.md +45 -45
README.md CHANGED
@@ -15,18 +15,18 @@ pipeline_tag: object-detection
15
  RTMDet is a highly efficient model for real-time object detection,capable of predicting both the bounding boxes and classes of objects within an image.It is highly optimized for real-time applications, making it reliable for industrial and commercial use
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  This is based on the implementation of RTMDet found [here](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet).
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- 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/v0.62.2/src/qai_hub_models/models/rtmdet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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  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.
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  ## Getting Started
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  Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
24
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.62.2/src/qai_hub_models/models/rtmdet) Python library to compile and export the model with your own:
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  - Custom weights (e.g., fine-tuned checkpoints)
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  - Custom input shapes
27
  - Target device and runtime configurations
28
 
29
- See our repository for [RTMDet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.62.2/src/qai_hub_models/models/rtmdet) for usage instructions.
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  ## Model Details
@@ -42,48 +42,48 @@ See our repository for [RTMDet on GitHub](https://github.com/qualcomm/ai-hub-mod
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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  |---|---|---|---|---|---|---
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- | RTMDet | ONNX | float | Snapdragon® X2 Elite | 9.068 ms | 5 - 5 MB | NPU
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- | RTMDet | ONNX | float | Snapdragon® X Elite | 16.503 ms | 51 - 51 MB | NPU
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- | RTMDet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 12.388 ms | 1 - 237 MB | NPU
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- | RTMDet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 39.929 ms | 3 - 299 MB | NPU
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- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 27.056 ms | 5 - 13 MB | NPU
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- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.285 ms | 0 - 54 MB | NPU
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- | RTMDet | ONNX | float | Qualcomm® QCS8450 | 39.929 ms | 3 - 299 MB | NPU
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- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 23.723 ms | 5 - 12 MB | NPU
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- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.503 ms | 51 - 51 MB | NPU
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- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.478 ms | 3 - 193 MB | NPU
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- | RTMDet | ONNX | float | Snapdragon® 8 Elite Mobile | 9.478 ms | 3 - 193 MB | NPU
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- | RTMDet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.191 ms | 3 - 198 MB | NPU
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- | RTMDet | ONNX | w8a16 | Snapdragon® X2 Elite | 6.699 ms | 2 - 2 MB | NPU
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- | RTMDet | ONNX | w8a16 | Snapdragon® X Elite | 15.681 ms | 27 - 27 MB | NPU
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- | RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 9.94 ms | 3 - 357 MB | NPU
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- | RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 20.392 ms | 3 - 357 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 64.692 ms | 23 - 26 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 14.03 ms | 2 - 6 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.177 ms | 2 - 5 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® QCS8450 | 20.392 ms | 3 - 357 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 15.575 ms | 2 - 5 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 15.681 ms | 27 - 27 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 147.35 ms | 26 - 346 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 23.259 ms | 25 - 353 MB | NPU
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- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 7.213 ms | 0 - 300 MB | NPU
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- | RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 7.213 ms | 0 - 300 MB | NPU
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- | RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 5.914 ms | 1 - 328 MB | NPU
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- | RTMDet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 23.259 ms | 25 - 353 MB | NPU
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- | RTMDet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.113 ms | 9 - 298 MB | NPU
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- | RTMDet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 46.481 ms | 10 - 360 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 27.394 ms | 9 - 81 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.89 ms | 9 - 13 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® SA8775P | 24.277 ms | 9 - 223 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® SA8650P | 24.277 ms | 9 - 223 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® SA8255P | 24.277 ms | 9 - 223 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® QCS8450 | 46.481 ms | 10 - 360 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 23.87 ms | 8 - 79 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.091 ms | 9 - 225 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® SA7255P | 85.551 ms | 10 - 221 MB | NPU
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- | RTMDet | TFLITE | float | Qualcomm® SA8295P | 33.087 ms | 9 - 283 MB | NPU
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- | RTMDet | TFLITE | float | Snapdragon® 8 Elite Mobile | 9.091 ms | 9 - 225 MB | NPU
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- | RTMDet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.897 ms | 8 - 224 MB | NPU
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88
  ## License
89
  * The license for the original implementation of RTMDet can be found
 
15
  RTMDet is a highly efficient model for real-time object detection,capable of predicting both the bounding boxes and classes of objects within an image.It is highly optimized for real-time applications, making it reliable for industrial and commercial use
16
 
17
  This is based on the implementation of RTMDet found [here](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet).
18
+ 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/v0.63.0/src/qai_hub_models/models/rtmdet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
19
 
20
  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.
21
 
22
  ## Getting Started
23
  Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
24
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/rtmdet) Python library to compile and export the model with your own:
25
  - Custom weights (e.g., fine-tuned checkpoints)
26
  - Custom input shapes
27
  - Target device and runtime configurations
28
 
29
+ See our repository for [RTMDet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/rtmdet) for usage instructions.
30
 
31
 
32
  ## Model Details
 
42
  ## Performance Summary
43
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
44
  |---|---|---|---|---|---|---
45
+ | RTMDet | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 6.994 ms | 3 - 188 MB | NPU
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+ | RTMDet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.384 ms | 2 - 183 MB | NPU
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+ | RTMDet | ONNX | float | Snapdragon® X2 Elite | 8.859 ms | 5 - 5 MB | NPU
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+ | RTMDet | ONNX | float | Snapdragon® X Elite | 16.85 ms | 51 - 51 MB | NPU
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+ | RTMDet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 12.274 ms | 2 - 226 MB | NPU
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+ | RTMDet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 31.435 ms | 5 - 294 MB | NPU
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+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 26.747 ms | 5 - 13 MB | NPU
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+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.296 ms | 5 - 7 MB | NPU
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+ | RTMDet | ONNX | float | Qualcomm® QCS8450 | 31.435 ms | 5 - 294 MB | NPU
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+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 23.734 ms | 5 - 13 MB | NPU
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+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.85 ms | 51 - 51 MB | NPU
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+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.384 ms | 2 - 183 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 5.93 ms | 0 - 314 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 7.169 ms | 1 - 291 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Snapdragon® X2 Elite | 6.616 ms | 2 - 2 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Snapdragon® X Elite | 15.281 ms | 27 - 27 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 12.292 ms | 3 - 349 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 19.061 ms | 3 - 350 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 53.185 ms | 23 - 26 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 13.841 ms | 2 - 6 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 14.877 ms | 0 - 33 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® QCS8450 | 19.061 ms | 3 - 350 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 15.606 ms | 2 - 6 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 15.281 ms | 27 - 27 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 138.785 ms | 23 - 331 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 22.757 ms | 25 - 318 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 7.169 ms | 1 - 291 MB | NPU
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+ | RTMDet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 22.757 ms | 25 - 318 MB | NPU
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+ | RTMDet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 6.517 ms | 8 - 216 MB | NPU
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+ | RTMDet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.164 ms | 0 - 203 MB | NPU
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+ | RTMDet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 11.907 ms | 9 - 287 MB | NPU
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+ | RTMDet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 37.571 ms | 10 - 352 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 26.996 ms | 9 - 81 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.676 ms | 9 - 12 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® SA8775P | 23.907 ms | 9 - 212 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® SA8650P | 23.907 ms | 9 - 212 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® SA8255P | 23.907 ms | 9 - 212 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® QCS8450 | 37.571 ms | 10 - 352 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 23.971 ms | 8 - 79 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.164 ms | 0 - 203 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® SA7255P | 84.857 ms | 10 - 211 MB | NPU
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+ | RTMDet | TFLITE | float | Qualcomm® SA8295P | 32.632 ms | 10 - 275 MB | NPU
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  ## License
89
  * The license for the original implementation of RTMDet can be found