Fix Geodesy/Scipy dependency version issue

README.md

@@ -30,7 +30,10 @@ Run the following commands in separate terminals:
  ```
  sim_vehicle.py -v Rover -f rover-skid --model JSON --add-param-file=$HOME/SITL_Models/Gazebo/config/r1_rover.param --console --map -N -l 35.30371178789218,-80.73099267294185,0.,0.
  ```
- Note: Restart sim_vechile.py if you get the following message: ```paramftp: bad count 1294 should be 1284```
+ Note: 
+ - Restart sim_vechile.py if you get the following message: ```paramftp: bad count```
+ - Ensure the MAV Console shows that the vehicle has a GPS lock before running the next command
+ - Ensure the MAV Map shows the vehicle before running the next command
 
 - Launch [SGP-Tools](http://itskalvik.com/sgp-tools) Online IPP method:
  ```

package.xml

@@ -2,7 +2,7 @@
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
  <name>ros_sgp_tools</name>
- <version>1.0.0</version>
+ <version>1.0.1</version>
  <description>Companion ROS package for sgptools python library</description>
  <maintainer email="kjakkala@uncc.edu">kalvik</maintainer>
  <license>Apache-2.0</license>

requirements.txt

@@ -1,4 +1,5 @@
 sgptools
 geopandas
 pygeodesy
-shapely
+shapely
+scipy <= 1.13.1

scripts/online_ipp.py

@@ -299,7 +299,7 @@ def update_param(self, X_new, y_new):
  trainable_variables=self.param_model.trainable_variables[1:], 
  optimizer='scipy')
 
- self.get_logger().info(f'SSGP Kernel lengthscales: {self.param_model.kernel.lengthscales.numpy():.8f}')
+ self.get_logger().info(f'SSGP Kernel lengthscales: {self.param_model.kernel.lengthscales.numpy():.4f}')
  self.get_logger().info(f'SSGP Kernel variance: {self.param_model.kernel.variance.numpy():.4f}')