1Donload dlstreamer docker:
推荐方式 启用ubuntu20.04docker环境 运行docker (https://hub.docker.com/r/intel/dlstreamer/tags )并挂载代码目录。 [2022.1.0-ubuntu20-devel]测试可用
2Download the models from Open Model Zoo
python3 -m pip install --upgrade pip python3 -m pip install openvino-dev[onnx] /opt/intel/dlstreamer/samples/download_models.sh
models location:/home/dlstreamer/intel/dl_streamer/models/
3build:
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dowload dlstreamer https://github.com/dlstreamer/dlstreamer tag:v1.6
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build
mkdir ~/intel/dlstreamer_gst/build cd ~/intel/dlstreamer_gst/build cmake -DCMAKE_INSTALL_PREFIX=/opt/intel_test/dlstreamer_build ..
make -j sudo make install
4)config export GST_PLUGIN_PATH=/opt/intel_test/dlstreamer_build/lib:$GST_PLUGIN_PATH export LD_LIBRARY_PATH=/opt/intel_test/dlstreamer_build/lib:$LD_LIBRARY_PATH
5)test
export DETECTION_MODEL=${MODELS_PATH}/intel/person-vehicle-bike-detection-2004/FP32/person-vehicle-bike-detection-2004.xml export DETECTION_MODEL_PROC=/opt/intel/dlstreamer/samples/model_proc/intel/person-vehicle-bike-detection-2004.json export VEHICLE_CLASSIFICATION_MODEL=${MODELS_PATH}/intel/vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml export VEHICLE_CLASSIFICATION_MODEL_PROC=/opt/intel/dlstreamer/samples/model_proc/intel/vehicle-attributes-recognition-barrier-0039.json
export VIDEO_EXAMPLE=person-bicycle-car-detection.mp4
gst-launch-1.0
filesrc location=${VIDEO_EXAMPLE} ! decodebin !
gvadetect model=${DETECTION_MODEL} model_proc=${DETECTION_MODEL_PROC} device=CPU ! queue !
gvawatermark ! videoconvert ! avenc_mpeg4 ! mp4mux ! filesink location= ./out_pipeline1.mp4 sync=false