This commit is contained in:
at669 2021-03-01 17:55:38 -07:00
Родитель 3650aa2e55
Коммит e8edc1053f
4 изменённых файлов: 4 добавлений и 4 удалений

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At this time, the repo is not accepting external contributions in the form of PRs. The Unity Robotics packages and all of its features are in active development, and significant changes are expected in future releases.
We encourage you to submit bugs, suggestions, and feedback as [GitHub issues](https://github.com/Unity-Technologies/Object-Pose-Estimation/issues).
We encourage you to submit bugs, suggestions, and feedback as [GitHub issues](https://github.com/Unity-Technologies/Robotics-Object-Pose-Estimation/issues).

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This page provides steps on how to manually set up a catkin workspace for the Pose Estimation tutorial.
1. Navigate to the root `Object-Pose-Estimation/` directory of this downloaded repository. This directory will be used as the ROS catkin workspace.
1. Navigate to the root `Robotics-Object-Pose-Estimation/` directory of this downloaded repository. This directory will be used as the ROS catkin workspace.
2. Copy or download this directory to your ROS operating system if you are doing ROS operations in another machine, VM, or container.

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#### Adding Tutorial Files
Now it is time to add some more objects to our scene. Before doing so, we need to import some folders containing the required assets.
4. Download [TutorialAssets.zip](https://github.com/Unity-Technologies/Object-Pose-Estimation/releases/download/v0.0.1/TutorialAssets.zip), and unzip it. It should contain the following subfolders: `Materials`, `Prefabs`, `RosMessages`, `Scripts`, `URDFs`.
4. Download [TutorialAssets.zip](https://github.com/Unity-Technologies/Robotics-Object-Pose-Estimation/releases/download/v0.0.1/TutorialAssets.zip), and unzip it. It should contain the following subfolders: `Materials`, `Prefabs`, `RosMessages`, `Scripts`, `URDFs`.
5. Drag and Drop the `TutorialAssets` folder from your operating system's file explorer onto the `Assets` folder in the _**Project**_ tab of the editor.

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The first step is to build the Docker image.
* **Action**: Open a new terminal and navigate to the `Object-Pose-Estimation/Model` folder. Then run the command to build your docker image, and name it `pose_estimation`:
* **Action**: Open a new terminal and navigate to the `Robotics-Object-Pose-Estimation/Model` folder. Then run the command to build your docker image, and name it `pose_estimation`:
```bash
docker build -t pose_estimation .
```