Hugging Face's logo

qualcomm
/
RTMDet

Object Detection
PyTorch
real_time
android
Model card Files
xet
 Community
qaihm-bot commited on
Commit
4fb87e3
·
verified ·
1 Parent(s): 79f2605

v0.62.0

Browse files

See https://github.com/qualcomm/ai-hub-models/releases/v0.62.0 for changelog.

Files changed (1) hide show
  1. README.md +45 -46
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
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/v0.61.0/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/v0.61.0/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/v0.61.0/src/qai_hub_models/models/rtmdet) for usage instructions.
30
 
31
 
32
  ## Model Details
@@ -42,49 +42,48 @@ See our repository for [RTMDet on GitHub](https://github.com/qualcomm/ai-hub-mod
42
  ## Performance Summary
43
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
44
  |---|---|---|---|---|---|---
45
- | RTMDet | ONNX | float | Snapdragon® X2 Elite | 13.261 ms | 5 - 5 MB | NPU
46
- | RTMDet | ONNX | float | Snapdragon® X Elite | 16.53 ms | 51 - 51 MB | NPU
47
- | RTMDet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 12.417 ms | 1 - 239 MB | NPU
48
- | RTMDet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 39.587 ms | 3 - 300 MB | NPU
49
- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 26.845 ms | 5 - 13 MB | NPU
50
- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.277 ms | 5 - 7 MB | NPU
51
- | RTMDet | ONNX | float | Qualcomm® QCS8450 | 39.587 ms | 3 - 300 MB | NPU
52
- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 24.25 ms | 5 - 12 MB | NPU
53
- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.53 ms | 51 - 51 MB | NPU
54
- | RTMDet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.496 ms | 3 - 193 MB | NPU
55
- | RTMDet | ONNX | float | Snapdragon® 8 Elite Mobile | 9.496 ms | 3 - 193 MB | NPU
56
- | RTMDet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.196 ms | 2 - 197 MB | NPU
57
- | RTMDet | ONNX | w8a16 | Snapdragon® X2 Elite | 6.688 ms | 2 - 2 MB | NPU
58
- | RTMDet | ONNX | w8a16 | Snapdragon® X Elite | 15.701 ms | 27 - 27 MB | NPU
59
- | RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 9.947 ms | 3 - 357 MB | NPU
60
- | RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 20.843 ms | 3 - 359 MB | NPU
61
- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 65.71 ms | 25 - 28 MB | NPU
62
- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 14.004 ms | 2 - 6 MB | NPU
63
- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.237 ms | 2 - 5 MB | NPU
64
- | RTMDet | ONNX | w8a16 | Qualcomm® QCS8450 | 20.843 ms | 3 - 359 MB | NPU
65
- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 15.715 ms | 2 - 5 MB | NPU
66
- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 15.701 ms | 27 - 27 MB | NPU
67
- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 161.586 ms | 28 - 347 MB | NPU
68
- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 22.915 ms | 25 - 353 MB | NPU
69
- | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 7.251 ms | 0 - 300 MB | NPU
70
- | RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 7.251 ms | 0 - 300 MB | NPU
71
- | RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 5.913 ms | 1 - 328 MB | NPU
72
- | RTMDet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 22.915 ms | 25 - 353 MB | NPU
73
- | RTMDet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.126 ms | 9 - 299 MB | NPU
74
- | RTMDet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 46.761 ms | 9 - 359 MB | NPU
75
- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 27.508 ms | 9 - 81 MB | NPU
76
- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 85.514 ms | 10 - 221 MB | NPU
77
- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.991 ms | 9 - 12 MB | NPU
78
- | RTMDet | TFLITE | float | Qualcomm® SA8775P | 24.256 ms | 9 - 223 MB | NPU
79
- | RTMDet | TFLITE | float | Qualcomm® SA8650P | 24.256 ms | 9 - 223 MB | NPU
80
- | RTMDet | TFLITE | float | Qualcomm® SA8255P | 24.256 ms | 9 - 223 MB | NPU
81
- | RTMDet | TFLITE | float | Qualcomm® QCS8450 | 46.761 ms | 9 - 359 MB | NPU
82
- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 24.514 ms | 8 - 79 MB | NPU
83
- | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.126 ms | 9 - 226 MB | NPU
84
- | RTMDet | TFLITE | float | Qualcomm® SA7255P | 85.514 ms | 10 - 221 MB | NPU
85
- | RTMDet | TFLITE | float | Qualcomm® SA8295P | 33.048 ms | 9 - 282 MB | NPU
86
- | RTMDet | TFLITE | float | Snapdragon® 8 Elite Mobile | 9.126 ms | 9 - 226 MB | NPU
87
- | RTMDet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.781 ms | 8 - 223 MB | NPU
88
 
89
  ## License
90
  * 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/v0.62.0/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/v0.62.0/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/v0.62.0/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® X2 Elite | 9.068 ms | 5 - 5 MB | NPU
46
+ | RTMDet | ONNX | float | Snapdragon® X Elite | 16.503 ms | 51 - 51 MB | NPU
47
+ | RTMDet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 12.388 ms | 1 - 237 MB | NPU
48
+ | RTMDet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 39.929 ms | 3 - 299 MB | NPU
49
+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 27.056 ms | 5 - 13 MB | NPU
50
+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.285 ms | 0 - 54 MB | NPU
51
+ | RTMDet | ONNX | float | Qualcomm® QCS8450 | 39.929 ms | 3 - 299 MB | NPU
52
+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 23.723 ms | 5 - 12 MB | NPU
53
+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.503 ms | 51 - 51 MB | NPU
54
+ | RTMDet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.478 ms | 3 - 193 MB | NPU
55
+ | RTMDet | ONNX | float | Snapdragon® 8 Elite Mobile | 9.478 ms | 3 - 193 MB | NPU
56
+ | RTMDet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.191 ms | 3 - 198 MB | NPU
57
+ | RTMDet | ONNX | w8a16 | Snapdragon® X2 Elite | 6.699 ms | 2 - 2 MB | NPU
58
+ | RTMDet | ONNX | w8a16 | Snapdragon® X Elite | 15.681 ms | 27 - 27 MB | NPU
59
+ | RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 9.94 ms | 3 - 357 MB | NPU
60
+ | RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 20.392 ms | 3 - 357 MB | NPU
61
+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 64.692 ms | 23 - 26 MB | NPU
62
+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 14.03 ms | 2 - 6 MB | NPU
63
+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.177 ms | 2 - 5 MB | NPU
64
+ | RTMDet | ONNX | w8a16 | Qualcomm® QCS8450 | 20.392 ms | 3 - 357 MB | NPU
65
+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 15.575 ms | 2 - 5 MB | NPU
66
+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 15.681 ms | 27 - 27 MB | NPU
67
+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 147.35 ms | 26 - 346 MB | NPU
68
+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 23.259 ms | 25 - 353 MB | NPU
69
+ | RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 7.213 ms | 0 - 300 MB | NPU
70
+ | RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 7.213 ms | 0 - 300 MB | NPU
71
+ | RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 5.914 ms | 1 - 328 MB | NPU
72
+ | RTMDet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 23.259 ms | 25 - 353 MB | NPU
73
+ | RTMDet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.113 ms | 9 - 298 MB | NPU
74
+ | RTMDet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 46.481 ms | 10 - 360 MB | NPU
75
+ | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 27.394 ms | 9 - 81 MB | NPU
76
+ | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.89 ms | 9 - 13 MB | NPU
77
+ | RTMDet | TFLITE | float | Qualcomm® SA8775P | 24.277 ms | 9 - 223 MB | NPU
78
+ | RTMDet | TFLITE | float | Qualcomm® SA8650P | 24.277 ms | 9 - 223 MB | NPU
79
+ | RTMDet | TFLITE | float | Qualcomm® SA8255P | 24.277 ms | 9 - 223 MB | NPU
80
+ | RTMDet | TFLITE | float | Qualcomm® QCS8450 | 46.481 ms | 10 - 360 MB | NPU
81
+ | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 23.87 ms | 8 - 79 MB | NPU
82
+ | RTMDet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.091 ms | 9 - 225 MB | NPU
83
+ | RTMDet | TFLITE | float | Qualcomm® SA7255P | 85.551 ms | 10 - 221 MB | NPU
84
+ | RTMDet | TFLITE | float | Qualcomm® SA8295P | 33.087 ms | 9 - 283 MB | NPU
85
+ | RTMDet | TFLITE | float | Snapdragon® 8 Elite Mobile | 9.091 ms | 9 - 225 MB | NPU
86
+ | RTMDet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.897 ms | 8 - 224 MB | NPU
 
87
 
88
  ## License
89
  * The license for the original implementation of RTMDet can be found