image_classification.md

Classification for Image

This project supports multiple CNN models for classification. Please make sure you have already set up environment and installed this project correctly. You can refer to the following links for your interested models then.

1 CNN Models

• AlexNet
• GoogleNet
• SqueezeNet
• Inception_V1
• Inception_V2
• Inception_V3
• Inception_V4
• MobileNet

2 Other Arguments

---

1 CNN Models

• AlexNet

Compile NCS graph.

cd /opt/movidius/ncappzoo/caffe/AlexNet
make

Launch object classification service.

cd ~/ros2_ws
echo "param_file: alexnet.yaml" > src/ros2_intel_movidius_ncs/movidius_ncs_launch/config/default.yaml
ament build
source install/local_setup.bash
launch `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/launch/ncs_image_launch.py

Run the example application with an absolute path of an image on another console. For example,

ros2 run movidius_ncs_example movidius_ncs_example_image_classification /opt/movidius/ncappzoo/data/images/cat.jpg

• GoogleNet

Compile NCS graph.

cd /opt/movidius/ncappzoo/caffe/GoogleNet
make

Launch object classification service.

cd ~/ros2_ws
echo "param_file: googlenet.yaml" > src/ros2_intel_movidius_ncs/movidius_ncs_launch/config/default.yaml
ament build
source install/local_setup.bash
launch `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/launch/ncs_image_launch.py

Run the example application with an absolute path of an image on another console. For example,

ros2 run movidius_ncs_example movidius_ncs_example_image_classification /opt/movidius/ncappzoo/data/images/cat.jpg

• SqueezeNet

Compile NCS graph.

cd /opt/movidius/ncappzoo/caffe/SqueezeNet
make

Launch object classification service.

cd ~/ros2_ws
echo "param_file: squeezenet.yaml" > src/ros2_intel_movidius_ncs/movidius_ncs_launch/config/default.yaml
ament build
source install/local_setup.bash
launch `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/launch/ncs_image_launch.py

Run the example application with an absolute path of an image on another console. For example,

ros2 run movidius_ncs_example movidius_ncs_example_image_classification /opt/movidius/ncappzoo/data/images/cat.jpg

• Inception_V1

Compile NCS graph.

cd /opt/movidius/ncappzoo/tensorflow/inception_v1
make

Launch object classification service.

cd ~/ros2_ws
echo "param_file: inception_v1.yaml" > src/ros2_intel_movidius_ncs/movidius_ncs_launch/config/default.yaml
ament build
source install/local_setup.bash
launch `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/launch/ncs_image_launch.py

Run the example application with an absolute path of an image on another console. For example,

ros2 run movidius_ncs_example movidius_ncs_example_image_classification /opt/movidius/ncappzoo/data/images/cat.jpg

• Inception_V2

Compile NCS graph.

cd /opt/movidius/ncappzoo/tensorflow/inception_v2
make

Launch object classification service.

cd ~/ros2_ws
echo "param_file: inception_v2.yaml" > src/ros2_intel_movidius_ncs/movidius_ncs_launch/config/default.yaml
ament build
source install/local_setup.bash
launch `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/launch/ncs_image_launch.py

Run the example application with an absolute path of an image on another console. For example,

ros2 run movidius_ncs_example movidius_ncs_example_image_classification /opt/movidius/ncappzoo/data/images/cat.jpg

• Inception_V3

Compile NCS graph.

cd /opt/movidius/ncappzoo/tensorflow/inception_v3
make

Launch object classification service.

cd ~/ros2_ws
echo "param_file: inception_v3.yaml" > src/ros2_intel_movidius_ncs/movidius_ncs_launch/config/default.yaml
ament build
source install/local_setup.bash
launch `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/launch/ncs_image_launch.py

Run the example application with an absolute path of an image on another console. For example,

ros2 run movidius_ncs_example movidius_ncs_example_image_classification /opt/movidius/ncappzoo/data/images/cat.jpg

• Inception_V4

Compile NCS graph.

cd /opt/movidius/ncappzoo/tensorflow/inception_v4
make

Launch object classification service.

cd ~/ros2_ws
echo "param_file: inception_v4.yaml" > src/ros2_intel_movidius_ncs/movidius_ncs_launch/config/default.yaml
ament build
source install/local_setup.bash
launch `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/launch/ncs_image_launch.py

Run the example application with an absolute path of an image on another console. For example,

ros2 run movidius_ncs_example movidius_ncs_example_image_classification /opt/movidius/ncappzoo/data/images/cat.jpg

• MobileNet

Compile NCS graph.

cd /opt/movidius/ncappzoo/tensorflow/mobilenets
make

Launch object classification service.

cd ~/ros2_ws
echo "param_file: mobilenet.yaml" > src/ros2_intel_movidius_ncs/movidius_ncs_launch/config/default.yaml
ament build
source install/local_setup.bash
launch `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/launch/ncs_image_launch.py

Run the example application with an absolute path of an image on another console. For example,

ros2 run movidius_ncs_example movidius_ncs_example_image_classification /opt/movidius/ncappzoo/data/images/cat.jpg

2 Other Arguments

Arguments	Description	Default Value	Valid Values
device_index	ncs device index	0	0~N-1(N is the maximum number of inserted NCS devices)
log_level	ncs log level	0	0:Nothing / 1:Errors / 2:Verbose
cnn_type	indicate different cnn models	googlenet	alexnet / googlenet / squeezenet / inception_v1 / inception_v2 / inception_v3 / inception_v4 / mobilenet
top_n	the number of results to be shown, only valid for classification	3	0~5