Comments (3)
@Joevaen Do you use docker? That should be the fastest way you can reproduce the result for all the apps in this repo, because if you directly build using the scripts I provided locally, it might mess with the softwares you already have in your system.
Here is the procedure to build using the dockerfile I already prepared for a CPU system:
# cd /to/this/repo
# build docker image, this will install all the depedencies
docker build -f ./dockerfiles/ubuntu2004.dockerfile -t onnx_runtime .
# start a docker container
docker run -it --rm -v `pwd`:/workspace onnx_runtime
# inside docker, build apps with
make apps
# download yolov3 models from
# https://github.com/onnx/models/tree/main/vision/object_detection_segmentation/yolov3
# run the app with
./build/examples/yolov3 [path/to/yolov3/onnx/model] ./data/images/no_way_home.jpg
from onnx_runtime_cpp.
If you don't use docker and want to build directly in your local system. Here is how you build the apps for CPU.
# cd /to/this/repo
# onnx library needs a rather new cmake version so first you need to update your cmake version
bash ./scripts/install_latest_cmake.bash
# here is the script to build onnx version v1.10.0
bash ./scripts/install_onnx_runtime.bash
# you need opencv to run the apps, hence you need to run the following script
bash ./scripts/install_apps_dependencies.bash
make apps
# download yolov3 models from
# https://github.com/onnx/models/tree/main/vision/object_detection_segmentation/yolov3
# run the app with
./build/examples/yolov3 [path/to/yolov3/onnx/model] ./data/images/no_way_home.jpg
But as I mentioned above, there might be a conflict with your local environment, you need to check the contents of the 3 bash scripts above.
from onnx_runtime_cpp.
Thanks, I have figured out. Actually, I need delete last line annotation in cmakelist.
from onnx_runtime_cpp.
Related Issues (20)
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