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--- algorithms:create [2024/07/01 14:03] – liuxzh12023
+++ algorithms:create [2025/03/30 13:32] (current) – liuxzh12023
@@ Line 7: / Line 7: @@
 We provide some SLAM algorithms Dockerfile and running scripts, here is an example to build an image:
 <code bash>
-mkdir -p SLAM_Hive/slam_hive_configurations
 cd SLAM_Hive
-git clone https://github.com/SLAM-Hive/slam_hive_web.git
-git clone https://github.com/SLAM-Hive/slam_hive_datasets.git
-git clone https://github.com/SLAM-Hive/slam_hive_results.git
 mkdir slam_hive_algos
 cd slam_hive_algos
@@ Line 19: / Line 15: @@
 ./install.sh
 </code>
 You can check whether the image is successfully built as follows:
@@ Line 51: / Line 48: @@
 You can firstly create Docker images following other provided algorithms and name them as: "slam-hive-algorithm:new-slam-mono" and "slam-hive-algorithm:new-slam-stereo".
+https://github.com/SLAM-Hive/slam_hive_web?tab=readme-ov-file#631-create-your-own-algorithm lists the components of a algorithm, and the explanation of each file can be found. Here is a tree structure of a algorithm folder:
+<code bash>
+/SLAM-Hive/slam_hive_algos/orb-slam2-ros-mono$ tree -L 1
+.
+├── Dockerfile
+├── install.sh
+├── ORB_SLAM2
+└── **slamhive**
+/SLAM-Hive/slam_hive_algos/orb-slam2-ros-mono/slamhive$ tree -L 1
+.
+├── mapping.py
+├── mappingtask.yaml
+├── mono.launch
+└── template.yaml
+</code>
 Then you input:
@@ Line 64: / Line 83: @@
 After all, you can click //save// button to add the algorithm to the database.
+Here we give a novel SLAM algorithm example of complete building tutorial.
+**TODO**