linux install Openvino

recommend centos7

github

Openvino

tooltiks

1. download

openvino addational installation for ncs2

ncs2 get start

browser download https://pan.baidu.com/s/1jN3gP2TDndeguqqGFS78GQ  to ~/obama.mp4

2. install ui 

install gnome UI

Report error:

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1 2	Transaction check error:   file /boot/efi/EFI/centos from install of fwupdate-efi-12-5.el7.centos.x86_64 conflicts with file from package grub2-common-1:2.02-0.65.el7.centos.2.noarch

resolve by  fwupdate-efi conflicts with grub2-common

centOS7下安装GUI图形界面

install rdp

2. Movidius

视频介绍

install in a VM

org doc 

ncsdk 和 openvino 没有关系。

doc1: 

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1 2	cd /opt/intel/computer_vision_sdk/deployment_tools/documentation python3 -m http.server

doc2:

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1 2	/opt/intel/computer_vision_sdk/deployment_tools/intel_models python3 -m http.server 8001

　　

 　

3. build exmaple

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cd /opt/intel/computer_vision_sdk/deployment_tools/inference_engine/samples ./build_samples.sh echo "PATH=\$PATH:$HOME/inference_engine_samples_build/intel64/Release" >> ~/.bashrc source ~/.bashrc   # Build completed, you can find binaries for all samples in the /home/user/inference_engine_samples_build/intel64/Release subfolder.

　　

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1	ls /opt/intel/computer_vision_sdk/deployment_tools/intel_models

　　

4.  Pre-Trained Models (Open Model Zoo)

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1 2	echo "MZOOPATH=/opt/intel/computer_vision_sdk/deployment_tools/intel_models" >> ~/.bashrc source ~/.bashrc

　　

 5. download new Model

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cd /opt/intel/computer_vision_sdk/deployment_tools/model_downloader echo "PATH=\$PATH:/opt/intel/computer_vision_sdk/deployment_tools/model_downloader" >> ~/.bashrc echo "PATH=\$PATH:/opt/intel/computer_vision_sdk/deployment_tools/model_optimizer" >> ~/.bashrc source ~/.bashrc # python3 downloader.py --name alexnet downloader.py --name alexnet cd $HOME/classification/alexnet/caffe/ # python3 mo.py --input_model alexnet.caffemodel mo.py --input_model alexnet.caffemodel

 

6. classification 　　

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wget  https://www.petmd.com/sites/default/files/what-does-it-mean-when-cat-wags-tail.jpg -O cat.jpg   classification_sample -i cat.jpg -m alexnet.xml -nt 5

7.  Security Barrier Camera Demo

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cd $MZOOPATH   security_barrier_camera_demo -i vehicle-attributes-recognition-barrier-0039/description/vehicle-attributes-recognition-barrier-0039-1.png vehicle-attributes-recognition-barrier-0039/description/vehicle-attributes-recognition-barrier-0039-2.png  -m vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml -m_va vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml -m_lpr license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml   security_barrier_camera_demo -i  vehicle-attributes-recognition-barrier-0039/description/vehicle-attributes-recognition-barrier-0039-2.png  -m vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml -m_va vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml -m_lpr license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml   security_barrier_camera_demo -i vehicle-attributes-recognition-barrier-0039/description/vehicle-attributes-recognition-barrier-0039-1.png vehicle-attributes-recognition-barrier-0039/description/vehicle-attributes-recognition-barrier-0039-2.png  -m vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml -m_va vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml -m_lpr license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml   security_barrier_camera_demo -i vehicle-license-plate-detection-barrier-0106/description/vehicle-license-plate-detection-barrier-0106.jpeg vehicle-attributes-recognition-barrier-0039/description/vehicle-attributes-recognition-barrier-0039-2.png  -m vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml -m_va vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml -m_lpr license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml   security_barrier_camera_demo -i license-plate-recognition-barrier-0001/description/license-plate-recognition-barrier-0001.png vehicle-attributes-recognition-barrier-0039/description/vehicle-attributes-recognition-barrier-0039-2.png  -m vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml -m_va vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml -m_lpr license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml

8. Object Detection for Faster R-CNN Demo

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mkdir -p ~/ObjDetection/faster_rcnn/caffe cd ~/ObjDetection/faster_rcnn/caffe   wget https://raw.githubusercontent.com/rbgirshick/py-faster-rcnn/master/models/pascal_voc/VGG16/faster_rcnn_end2end/test.prototxt   # curl -k -O -L  https://dl.dropboxusercontent.com/s/o6ii098bu51d139/faster_rcnn_models.tgz?dl=0   mv faster_rcnn_models.tgz* faster_rcnn_models.tgz tar -zxvf faster_rcnn_models.tgz # cd faster_rcnn_models/ mo_caffe.py --input_model  faster_rcnn_models/VGG16_faster_rcnn_final.caffemodel --input_proto test.prototxt   object_detection_demo -i $MZOOPATH/person-detection-retail-0002/description/person-detection-retail-0002.png -m VGG16_faster_rcnn_final.xml

 

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1 2	cd $MZOOPATH object_detection_demo -i $MZOOPATH/person-detection-retail-0002/description/person-detection-retail-0002.png -m person-detection-retail-0002/FP32/person-detection-retail-0002.xml --bbox_name detector/bbox/ave_pred -d CPU

 

8. Object Detection SSD Demo, Async API Performance Showcase

object_detection_demo_ssd_async -i <path_to_video>/inputVideo.mp4 -m <path_to_model>/ssd.xml -d GPU

9. Object Detection with SSD-VGG Sample

 

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1	object_detection_sample_ssd -i $MZOOPATH/person-detection-retail-0013/description/person-detection-retail-0013.png -m $MZOOPATH/person-detection-retail-0013/FP32/person-detection-retail-0013.xml

 

10. TensorFlow* Object Detection Mask R-CNNs Segmentation Demo

./mask_rcnn_demo -i <path_to_image>/inputImage.bmp -m <path_to_model>/faster_rcnn.xml

　　

11. Automatic Speech Recognition Sample

 通俗理解生成对抗网络GAN

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mkdir -p ~/kaldi/gna/ cd ~/kaldi/gna/     wget https://download.01.org/openvinotoolkit/2018_R3/models_contrib/GNA/wsj_dnn5b_smbr/wsj_dnn5b.counts   wget https://download.01.org/openvinotoolkit/2018_R3/models_contrib/GNA/wsj_dnn5b_smbr/wsj_dnn5b.nnet   wget https://download.01.org/openvinotoolkit/2018_R3/models_contrib/GNA/wsj_dnn5b_smbr/dev93_scores_10.ark   wget https://download.01.org/openvinotoolkit/2018_R3/models_contrib/GNA/wsj_dnn5b_smbr/dev93_10.ark   mo.py --framework kaldi --input_model wsj*.nnet  --counts wsj*.counts --remove_output_softmax   speech_sample -d GNA_AUTO -bs 2 -i dev93_10.ark -m wsj_dnn5b.xml -o scores.ark -r dev93_scores_10.ark

　　

12. Use of Sample in Kaldi* Speech Recognition Pipeline

普及 Kaldi

Kaldi(A1)语音识别原理

kaldi上第一个免费的中文语音识别例子

...

 

13. Neural Style Transfer Sample

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$ locate  cat.jpg /home/user/ncappzoo/data/images/cat.jpg /home/user/ncsdk/examples/data/images/cat.jpg /opt/movidius/ssd-caffe/examples/images/cat.jpg

./style_transfer_sample -i <path_to_image>/cat.bmp -m <path_to_model>/1_decoder_FP32.xml

 

14. Hello Infer Request Classification Sample

 

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1 2	cd $HOME/classification/alexnet/caffe/ hello_request_classification alexnet.xml /home/user/ncsdk/examples/data/images/cat.jpg CPU

　　

15. Interactive Face Detection Demo

 

16. Image Segmentation Demo

17. Crossroad Camera Demo 

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cd $MZOOPATH crossroad_camera_demo -i vdieo.mp4 -m person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml -m_pa person-attributes-recognition-crossroad-0200/FP32/person-attributes-recognition-crossroad-0200.xml -m_reid person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.xml

　　

18. Multi-Channel Face Detection Demo 

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multi-channel-demo -m $MZOOPATH/face-detection-retail-0004/FP32/face-detection-retail-0004.xml \ -l $HOME/inference_engine_samples_build/intel64/Release/lib/libcpu_extension.so \ -nc 1 -duplicate_num 3

　

19. Hello Autoresize Classification Sample

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1 2	cd $HOME/classification/alexnet/caffe/ hello_autoresize_classification alexnet.xml /home/user/ncsdk/examples/data/images/cat.jpg CPU

　　

20. Hello Shape Infer Sample

 ./hello_shape_infer_ssd <path_to_model>/ssd_300.xml <path_to_image>/500x500.bmp CPU 3

 

21. Human Pose Estimation Demo 

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1	human_pose_estimation_demo -i ~/obama.mp4 -m $MZOOPATH/human-pose-estimation-0001/FP32/human-pose-estimation-0001.xml -d CPU

 

22. Object Detection YOLO* V3 Demo, Async API Performance Showcase

 object_detection_demo_yolov3_async -i <path_to_video>/inputVideo.mp4 -m <path_to_model>/yolo_v3.xml -d GPU

 

23. Pedestrian Tracker Demo

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1	pedestrian_tracker_demo -i ~/obama.mp4 -m_det $MZOOPATH/person-detection-retail-0013/FP32/person-detection-retail-0013.xml -m_reid $MZOOPATH/person-reidentification-retail-0031/FP32/person-reidentification-retail-0031.xml

　　

24. Smart Classroom Demo

./smart_classroom_demo -m_act <path to the person/action detection retail model .xml file> -m_fd <path to the face detection retail model .xml file> -m_reid <path to the face reidentification retail model .xml file> -m_lm <path to the landmarks regression retail model .xml file> -fg <path to faces_gallery.json> -i <path to the input video>

 

25. Super Resolution Demo

./super_resolution_demo -i <path_to_image>/image.bmp -m <path_to_model>/model.xml

 

26. Using the Validation Application to Check Accuracy on a Dataset

 

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cd ~ git clone -b ssd https://github.com/weiliu89/caffe.git cd caffe git branch cd ..     wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtest_06-Nov-2007.tar   tar -xvf VOCtest_06-Nov-2007.tar

　　

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sed -i -e "s/^\(INCLUDE_DIRS := \$(PYTHON_INCLUDE) \/usr\/local\/include\)/\1 \/usr\/incl ude\/hdf5\/serial\//" Makefile.config   sed -i -e "s/hdf5_hl hdf5/hdf5_serial_hl hdf5_serial/" Makefile

　　

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