recommend centos7
1. download
openvino addational installation for ncs2
browser download https://pan.baidu.com/s/1jN3gP2TDndeguqqGFS78GQ to ~/obama.mp4
2. install ui
Report error:
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
2. Movidius
ncsdk 和 openvino 没有关系。
doc1:
cd /opt/intel/computer_vision_sdk/deployment_tools/documentation python3 -m http.server
doc2:
/opt/intel/computer_vision_sdk/deployment_tools/intel_models python3 -m http.server 8001
3. build exmaple
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.
ls /opt/intel/computer_vision_sdk/deployment_tools/intel_models
4. Pre-Trained Models (Open Model Zoo)
echo "MZOOPATH=/opt/intel/computer_vision_sdk/deployment_tools/intel_models" >> ~/.bashrc source ~/.bashrc
5. download new Model
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
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
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
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
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
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
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
13. Neural Style Transfer Sample
$ 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
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
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
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
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
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
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
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
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