@@ -32,7 +32,7 @@ Check [GitHub Wiki](https://github.com/Ar-Ray-code/YOLOX-ROS/wiki/YOLOX-ROS---Ra
3232- OpenCV 4
3333- Python 3.8 (Ubuntu 20.04 Default)
3434- PyTorch >= v1.7
35- - [ YOLOX v0.2 .0] ( https://github.com/Megvii-BaseDetection/YOLOX )
35+ - [ YOLOX v0.3 .0] ( https://github.com/Megvii-BaseDetection/YOLOX )
3636- [ bbox_ex_msgs] ( https://github.com/Ar-Ray-code/bbox_ex_msgs )
3737
3838## Installation
@@ -50,15 +50,15 @@ git clone https://github.com/Ar-Ray-code/yolox_ros.git --recursive
5050### STEP 2 : YOLOX Installation (yolox_rps_py)
5151
5252``` bash
53- bash YOLOX-ROS/yolox_ros_py/install_yolox_py.bash
53+ pip3 install yolox
5454```
5555
5656### STEP 3 : Install YOLOX-ROS
5757
5858``` bash
5959source /opt/ros/foxy/setup.bash
6060sudo apt install ros-foxy-v4l2-camera
61- colcon build --symlink-install # weights files will be installed automatically.
61+ colcon build --symlink-install # weights (YOLOX-Nano) files will be installed automatically.
6262```
6363
6464### (Step 3) Using CUDA
@@ -78,8 +78,13 @@ Connect your web camera.
7878``` bash
7979source /opt/ros/foxy/setup.bash
8080source ~ /ros2_ws/install/local_setup.bash
81- ros2 launch yolox_ros_py yolox_s_cpu.launch.py
82- # ros2 launch yolox_ros_py yolox_s.launch.py # <- GPU
81+ ros2 launch yolox_ros_py yolox_nano_cpu.launch.py
82+ # ros2 launch yolox_ros_py yolox_nano.launch.py # <- GPU
83+ # ros2 launch yolox_ros_py yolox_nano_onnx.launch.py # <- ONNXRuntime
84+
85+ # OpenVINO ---
86+ # source /opt/intel/openvino_2021/bin/setupvars.sh
87+ # ros2 launch yolox_ros_py yolox_nano_openvino.launch.py # <- OpenVINO
8388```
8489
8590</details >
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