deploy: 504969d

matsuolab · Aug 7, 2023 · cb230fc · cb230fc
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diff --git a/course/chap5/index.xml b/course/chap5/index.xml
@@ -274,7 +274,6 @@ subscribeし、&lt;br>
 &lt;details class="spoiler " id="spoiler-4">
 &lt;summary>(開発PC)物体検出を行う&lt;/summary>
 &lt;p>&lt;pre>&lt;code class="language-bash">(開発PC)(docker)# cd catkin_ws; catkin_make; source devel/setup.bash
-(開発PC)(docker)# roscd three-dimensions_tutorial; cd yolov3/weights; ./download_weights.sh
 (開発PC)(docker)# rosrun three-dimensions_tutorial object_detection.py
 # rvizで`/detection_result`を表示し結果を確認してみよう。
 (開発PC)(docker)# rosrun three-dimensions_tutorial detection_distance.py

diff --git a/course/chap5/three-dimensions/index.html b/course/chap5/three-dimensions/index.html
@@ -230,7 +230,6 @@
 (開発PC)$ ./RUN-DOCKER-CONTAINER.sh 192.168.10.7x
 </code></pre></p></details><details class=spoiler id=spoiler-3><summary>(開発PC)RealSenseのトピックの可視化</summary><p><pre><code class=language-bash>(開発PC)(docker)# rviz
 </code></pre><p>rviz上で</p><ul><li><code>/camera/color/image_raw</code></li><li><code>/camera/depth/image_raw</code></li><li><code>/camera/aligned_depth_to_color/image_raw</code></li></ul><p>を可視化して違いを確認してみましょう。</p></p></details><details class=spoiler id=spoiler-4><summary>(開発PC)物体検出を行う</summary><p><pre><code class=language-bash>(開発PC)(docker)# cd catkin_ws; catkin_make; source devel/setup.bash
-(開発PC)(docker)# roscd three-dimensions_tutorial; cd yolov3/weights; ./download_weights.sh
 (開発PC)(docker)# rosrun three-dimensions_tutorial object_detection.py
 # rvizで`/detection_result`を表示し結果を確認してみよう。
 (開発PC)(docker)# rosrun three-dimensions_tutorial detection_distance.py

diff --git a/index.json b/index.json
diff --git a/index.xml b/index.xml
@@ -1398,7 +1398,6 @@ subscribeし、&lt;br>
 &lt;details class="spoiler " id="spoiler-4">
 &lt;summary>(開発PC)物体検出を行う&lt;/summary>
 &lt;p>&lt;pre>&lt;code class="language-bash">(開発PC)(docker)# cd catkin_ws; catkin_make; source devel/setup.bash
-(開発PC)(docker)# roscd three-dimensions_tutorial; cd yolov3/weights; ./download_weights.sh
 (開発PC)(docker)# rosrun three-dimensions_tutorial object_detection.py
 # rvizで`/detection_result`を表示し結果を確認してみよう。
 (開発PC)(docker)# rosrun three-dimensions_tutorial detection_distance.py