Hugging Face's logo

qualcomm
/
RTMDet

Object Detection
PyTorch
real_time
android
Model card Files
xet
Community
RTMDet / README.md
qaihm-bot's picture
qaihm-bot
v0.46.1
d420746 verified
preview code
|
raw
history blame contribute delete
4.15 kB
metadata 
library_name: pytorch
license: other
tags:
  - real_time
  - android
pipeline_tag: object-detection

RTMDet: Optimized for Qualcomm Devices

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

This is based on the implementation of RTMDet found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

Due to licensing restrictions, we cannot distribute pre-exported model assets for this model. Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

  • Custom weights (e.g., fine-tuned checkpoints)
  • Custom input shapes
  • Target device and runtime configurations

See our repository for RTMDet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

  • Model checkpoint: RTMDet Medium
  • Input resolution: 640x640
  • Number of parameters: 27.5M
  • Model size (float): 105 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
RTMDet ONNX float Snapdragon® X Elite 14.503 ms 51 - 51 MB NPU
RTMDet ONNX float Snapdragon® 8 Gen 3 Mobile 10.617 ms 5 - 178 MB NPU
RTMDet ONNX float Qualcomm® QCS8550 (Proxy) 14.209 ms 5 - 7 MB NPU
RTMDet ONNX float Qualcomm® QCS9075 24.305 ms 5 - 12 MB NPU
RTMDet ONNX float Snapdragon® 8 Elite For Galaxy Mobile 8.341 ms 1 - 127 MB NPU
RTMDet ONNX float Snapdragon® 8 Elite Gen 5 Mobile 6.26 ms 5 - 136 MB NPU
RTMDet TFLITE float Snapdragon® 8 Gen 3 Mobile 11.853 ms 0 - 284 MB NPU
RTMDet TFLITE float Qualcomm® QCS8275 (Proxy) 83.912 ms 0 - 208 MB NPU
RTMDet TFLITE float Qualcomm® QCS8550 (Proxy) 15.707 ms 0 - 4 MB NPU
RTMDet TFLITE float Qualcomm® SA8775P 22.95 ms 0 - 208 MB NPU
RTMDet TFLITE float Qualcomm® QCS9075 24.718 ms 0 - 62 MB NPU
RTMDet TFLITE float Qualcomm® QCS8450 (Proxy) 38.102 ms 0 - 348 MB NPU
RTMDet TFLITE float Qualcomm® SA7255P 83.912 ms 0 - 208 MB NPU
RTMDet TFLITE float Qualcomm® SA8295P 30.0 ms 0 - 269 MB NPU
RTMDet TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 9.21 ms 0 - 210 MB NPU
RTMDet TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 6.713 ms 0 - 206 MB NPU

License

  • The license for the original implementation of RTMDet can be found here.

References

Community