SOLOv2 on onnx & tensorRT

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Deep LearningSOLOv2.tensorRT
Overview

SOLOv2.tensorRT:

NOTE: code based on WXinlong/SOLO

add support to TensorRT inference

  • onnxruntime
  • tensorRT
  • full_dims and dynamic shape
  • postprocess without torch
git clone https://github.com/zhangjinsong3/SOLOv2.tensorRT

Requirements

  • pytorch 1.4+
  • torchvision 0.5+
  • gcc 4.9+
  • tensorRT 7.2.1
  • onnx-tensorrt 7.2
  • onnx 1.8.0
  • onnxruntime 1.6.0

Train

  • set ONNX_EXPORT=False in mmdet.deploy_params.py
  • Training according to the steps in SOLO 🔗

Deploy [detail 🔗 ]

  • set ONNX_EXPORT=True in mmdet.deploy_params.py

  • cd deploy

  • run inference on onnxruntime & tensorRT

# run on pytorch
python inference_demo.py

# Convert pth to onnx model, then run on onnxrt & trt
# SOLOv2 light R34
python onnx_exporter_solov2.py ../configs/solov2/solov2_light_448_r34_fpn_8gpu_3x.py  weights/SOLOv2_light_R34.onnx --checkpoint ../weights/SOLOv2_LIGHT_448_R34_3x.pth --shape 448 672
python inference_on_onnxrt_trt_solov2.py
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