/SOFTWARE
+ ```
+
+ 2. clone the geo_utils repo from GitHub:
+ ```
+ git clone https://github.com/zsiki/Find-GCP.git
+ ```
+
+ 3. check available **conda** modules and load selected one *(if not loaded yet in this session)*:
```
module avail conda
module load miniconda/4.12.0
```
- 2. activate your `geospatial` environment:
+
+ 4. activate your `geospatial` environment *(if not activated yet in this session)*:
```
source activate geospatial
```
- 3. clone the Find-GCP repo from GitHub:
+
+ 5. install required libraries *(optionally, initially or after* `git pull`*)*:
```
- git clone https://github.com/zsiki/Find-GCP.git
+ pip install opencv-python opencv-contrib-python PIL pil.imagetk numpy matplotlib
```
- When you clone a repository from GitHub, it creates a new directory on your current path with the name of the repository. Inside this directory, you'll find the contents of the repository. Once you navigate into this directory, you should see 6 files with the `.py` extension. **These .py files are the Find-GCP python utilities for working with ArUco markers in Land Surveying Tasks.**
+
+ WARNING:
+
+ Installing packages without specifying a version usually installs the latest version, which may be incompatible with older required ones, potentially causing scripts to malfunction.
+
+
+
+ 6. start using the scripts from the repo! *(they are placed directly in the directory)*
+ Once you navigate into the newly created Find-GCP directory, you should see 6 files with the `.py` extension. **These .py files are the Find-GCP python utilities for working with ArUco markers in Land Surveying Tasks.**
```
cd Find-GCP
ls
```
![find_gcp_repo](../assets/images/find_gcp_repo.png)
- 4. install required libraries:
- ```
- pip install opencv-python opencv-contrib-python Pillow numpy matplotlib
- ```
-
-
## **Automatic generation of ArUco codes**