"tab": ["gx", "gy", "gz"]
}
) # gx, gy, gz are the names of the columns for the Gyroscope in the CSV Files
Extractor.AddDevice(
{
"name": "Magnetometer",
"tab": ["mx", "my", "mz"]
}
) # mx, my, mz are the names of the columns for the Magnetometer in the CSV Files
# If the dataset is not here, download it.
if not os.path.isdir("Datasets/"):
import subprocess
def git(*args):
return subprocess.check_call(['git'] + list(args))
print("Datasets not detected.")
print("Downloading ...")
git("clone", "https://github.com/LIARALab/Datasets.git")
print("Downloaded.")
raw_folder = "Datasets/ActivitiesExercisesRecognition/raw/A/" # Path to one exercice of this data
exercice = "ExoFente" # Folder containing the exercice
full_path = raw_folder + exercice + "/" # Compilation
print("Running Extractor on \"" + full_path + "\"...")
Extractor.ExtractFeaturesFromFolder(
full_path, output_file="output.csv",
class_added=exercice) # Running the Extractor on whole folder
print("Finished !")
