OpenVINO-tinyYolov3

OpenVINO-tinyYolov3+ NCS2 + Raspberry pi3 model B+(raspbian stretch)/NUC(Ubuntu18.04)/DesktopPC(Ubuntu16.04) + USBcamera + Python3
Inspired from https://github.com/PINTO0309/OpenVINO-YoloV3
초보자라 상당히 까다롭기 때문에 나처럼 좌우도 모르는 초보자이기 때문에 먼저 움직이고 싶은 사람에게 필기를 남긴다.
정말 죄송합니다. 핀토 기사를 참고했습니다.감사합니다.
열심히 공부하고 있지만 이해가 안 되는 부분도 있어요.만약 무슨 잘못이 발견되면 반드시 저에게 알려주세요.

Environment

DesktopPC(Ubuntu16.04)
NUC(Ubuntu18.04)
Raspberry pi3 model B+(raspbian stretch armv7l)
Python 3.6.9(DesktopPC)
Python 3.6.8(NUC)
Anaconda 4.7.11(DesktopPC)

Environment construction procedure

Work with DesktopPC(Ubuntu 16.04) & NUC(Ubuntu18.04)

Download the Intel® Distribution of OpenVINO™ toolkit package file from https://software.intel.com/en-us/openvino-toolkit/choose-download?elq_cid=5597297 . Select the Intel® Distribution of OpenVINO™ toolkit for Linux package from the dropdown menu.
If you have a previous version of the Intel Distribution of OpenVINO toolkit installed, rename or delete these two directories:

/home/<user>/inference_engine_samples_build
/home/<user>/openvino_models

Open a command prompt terminal window and execute the following command.

$ cd ~/Downloads/
$ tar -xvzf l_openvino_toolkit_p_<version>.tgz
$ rm l_openvino_toolkit_p_<version>.tgz
$ cd l_openvino_toolkit_p_<version>

Install OpenVINO
Please proceed without any changes

$ sudo ./install_GUI.sh

To install the dependencies, execute the following command.

$ cd /opt/intel/openvino/install_dependencies/
$ sudo -E ./install_openvino_dependencies.sh
$ nano ~/.bashrc
#Add this line to the end of the file:
source /opt/intel/openvino/bin/setupvars.sh
$ source ~/.bashrc
# Successful if displayed as below
[setupvars.sh] OpenVINO environment initialized
$ cd /opt/intel/openvino/deployment_tools/model_optimizer/install_prerequisites/
$ sudo ./install_prerequisites.sh

To enable NCS2, execute the following command.
At this point, connect NCS2 to your PC.

$ sudo usermod -a -G users "$(whoami)"
$ cat <<EOF > 97-usbboot.rules
SUBSYSTEM=="usb", ATTRS{idProduct}=="2150", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
SUBSYSTEM=="usb", ATTRS{idProduct}=="2485", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
SUBSYSTEM=="usb", ATTRS{idProduct}=="f63b", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
EOF

$ sudo cp 97-usbboot.rules /etc/udev/rules.d/
$ sudo udevadm control --reload-rules
$ sudo udevadm trigger
$ sudo ldconfig
$ rm 97-usbboot.rules

Work with RaspberryPi (Raspbian Stretch)

Download the Raspberry Pi version of openvino toolkit from the link above

$ sudo apt update
$ sudo apt upgrade
$ cd ~/Downloads/
$ sudo mkdir -p /opt/intel/openvino
$ sudo tar -xf l_openvino_toolkit_raspbi_p_<version>.tgz --strip 1 -C /opt/intel/openvino
$ sudo apt install cmake
$ source /opt/intel/openvino/bin/setupvars.sh
$ nano ~/.bashrc
#Add this line to the end of the file:
source /opt/intel/openvino/bin/setupvars.sh

$ source ~/.bashrc
### Successful if displayed as below
[setupvars.sh] OpenVINO environment initialized

$ sudo usermod -a -G users "$(whoami)"
$ sudo reboot

$ sh /opt/intel/openvino/install_dependencies/install_NCS_udev_rules.sh

Work with DesktopPC(Ubuntu 16.04)

Convert weight file(Darknet(.weights) -> Tensorflow(.pb) -> OpenVINO(.bin))
Execute the following command

$ cd ~
$ git clone https://github.com/PINTO0309/OpenVINO-YoloV3.git
$ cd OpenVINO-YoloV3.git
copy weights file from ~/darknet/yolov3-tiny.weights to ~/OpenVINO-YoloV3/weights
$ cp ~/darknet/yolov3-tiny.weights weights
$ python3 convert_weights_pb.py \
--class_names coco.names \
--weights_file weights/yolov3-tiny.weights \
--data_format NHWC \
--tiny \
--output_graph pbmodels/frozen_yolov3-tiny-mine.pb

$ sudo python3 /opt/intel/openvino/deployment_tools/model_optimizer/mo_tf.py \
--input_model pbmodels/frozen_yolov3-tiny-mine.pb \
--output_dir lrmodels/tiny-YoloV3/FP16 \
--data_type FP16 \
--batch 1 \
--tensorflow_use_custom_operations_config yolo_v3_tiny_changed.json

Now, you got 3files!

/home/<username>/OpenVINO-YoloV3/lrmodels/tiny-YoloV3/FP16/frozen_yolov3-tiny-mine.bin
/home/<username>/OpenVINO-YoloV3/lrmodels/tiny-YoloV3/FP16/frozen_yolov3-tiny-mine.mapping
/home/<username>/OpenVINO-YoloV3/lrmodels/tiny-YoloV3/FP16/frozen_yolov3-tiny-mine.xml

Work with PC to run tiny-yolov3

Execute the following command

$ cd ~
$ git clone https://github.com/PINTO0309/OpenVINO-YoloV3.git

Copy 3files(.bin)(.mapping)(.xml) to/home/(username)/OpenVINO-YoloV3/lrmodels/tiny-YoloV3/FP16/
And, Edit the file(/OpenVINO-YoloV3/openvino_tiny-yolov3_MultiStick_test.py)

self.model_xml = "./lrmodels/tiny-YoloV3/FP16/frozen_tiny_yolo_v3.xml"
  =>  self.model_xml = "./lrmodels/tiny-YoloV3/FP16/frozen_yolov3-tiny-mine.xml"
self.model_bin = "./lrmodels/tiny-YoloV3/FP16/frozen_tiny_yolo_v3.bin"
  =>  self.model_xml = "./lrmodels/tiny-YoloV3/FP16/frozen_yolov3-tiny-mine.bin"

Then, connect USBcamera and NCS2 to PC and execute the following command

$ cd ~
$ cd OpenVINO-YoloV3
$ python3 openvino_tiny-yolov3_MultiStick_test.py -numncs 1

If the screen turns white, change the GL driver to Legacy
All processes are complete!
Thank you!