diff --git a/IntroPhotogrammetry/OpenDroneMap/03-ODM-georeferencing.md b/IntroPhotogrammetry/OpenDroneMap/03-ODM-georeferencing.md index e5ce347..fdfc826 100644 --- a/IntroPhotogrammetry/OpenDroneMap/03-ODM-georeferencing.md +++ b/IntroPhotogrammetry/OpenDroneMap/03-ODM-georeferencing.md @@ -384,7 +384,7 @@ Once you've set up the `geospatial` environment, theoretically all the necessary python gcp_to_aruco_mapper.py [-h] -g GCP_FILE -i IMAGERY_PATH -z ZONE [-o OUTPUT] [-d MAX_DIST] ``` -
+
PRO TIP:
To gain practical experience with the use of these scripts, please follow the instructions provided in the subsequent sections of this tutorial. @@ -429,7 +429,7 @@ Once you've set up the `geospatial` environment, theoretically all the necessary ``` pip install opencv-python opencv-contrib-python PIL pil.imagetk numpy matplotlib ``` -
+
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. @@ -563,12 +563,12 @@ done - - +
+ Finally, you can use the free online
ArUco markers generator: https://chev.me/arucogen/

See the corresponding GitHub repo: https://github.com/okalachev/arucogen
Save this marker as SVG, or open standard browser's print dialog to print or get the PDF.
@@ -715,7 +715,7 @@ A practical strategy is to first **employ an automated filter to narrow down to 523394.376 4779529.525 1398.728 4216 1199 R0036676.JPG 4 ``` -
+
PRO TIP:
While the script does a job of pre-selecting images, it's recommended taking a moment to visually inspect the chosen images. This ensures that markers are clearly visible and that the annotations with ArUco ID align with the correct pattern. A brief manual check can help enhance the accuracy and reliability of your dataset.
Automation aids efficiency, but a human touch ensures precision! @@ -857,7 +857,7 @@ Match found: GCP 141 (d=5.95m) is likely in image R0036704_4.JPG with ArUco mark Match found: GCP 143 (d=7.09m) is likely in image R0036933_7.JPG with ArUco marker 7. ``` -
+
WARNING:
Note that you should have activated a specific conda environment related to this project. See the STEP 0 in this section.