minor

example_kinetics.py

@@ -120,11 +120,11 @@
 #       - macOS   (Monterey 12.2): converged in 1133 iterations
 #       - Linux   (Ubuntu 20.04):  converged in 1072 iterations 
 # Select which example you would like to run.
-session_type = 'overground' # Options are 'overground' and 'treadmill'.
+session_type = 'treadmill' # Options are 'overground' and 'treadmill'.
 session_id = "4d5c3eb1-1a59-4ea1-9178-d3634610561c"
 case = '0' # Change this to compare across settings.
 if session_type == 'overground':    
-    trial_name = 'STS' # Options are 'squat' and 'STS'.
+    trial_name = 'squat' # Options are 'squat' and 'STS'.
     if trial_name == 'squat': # Squat
         motion_type = 'squats'
         repetition = 1
@@ -135,7 +135,7 @@
         motion_type = 'jumping'
         time_window = [1.2, 2.4]
 elif session_type == 'treadmill':
-    trial_name = 'run_2_5ms'
+    trial_name = 'run_4ms'
     if trial_name == 'walk_1_25ms': # Walking, 1.25 m/s
         motion_type = 'walking'
         time_window = [1.0, 2.5]
@@ -150,7 +150,7 @@
         treadmill_speed = 4.0
 
 # Set to True to solve the optimal control problem.
-solveProblem = False
+solveProblem = True
 # Set to True to analyze the results of the optimal control problem. If you
 # solved the problem already, and only want to analyze/process the results, you
 # can set solveProblem to False and run this script with analyzeResults set to
@@ -178,4 +178,4 @@
 
 # %% Plots.
 # To compare different cases, add to the cases list, eg cases=['0','1'].
-plotResultsDC(dataFolder, session_id, trial_name, settings, cases=[case])
+# plotResultsDC(dataFolder, session_id, trial_name, settings, cases=[case])