Ejemplo n.º 1
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 def test_calcAngles_exceptions(self, kargs):
     """
     Test exceptions raised by pycgmCalc in the following cases:
     - 'start' value > 'end' value
     - negative 'start' value
     - negative 'frame' value
     - 'frame' value out of range
     - 'end' value out of range
     """
     kargs['vsk'] = self.cal_SM
     with pytest.raises(Exception):
         pycgmCalc.calcAngles(self.motion_data, **kargs)
Ejemplo n.º 2
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    def setup_class(cls):
        """
        Called once for all tests for pycgmIO.
        Sets rounding_precision, loads filenames to
        be used for testing load functions, and sets
        the python version being used.

        We also run the pyCGM code to get a frame of
        output data to test pycgmIO.writeResult().
        """
        cls.rounding_precision = 8
        cwd = os.getcwd()
        if (cwd.split(os.sep)[-1] == "pyCGM_Single"):
            parent = os.path.dirname(cwd)
            os.chdir(parent)
        cls.cwd = os.getcwd()
        cls.pyver = sys.version_info.major

        cls.filename_59993_Frame = os.path.join(
            cls.cwd,
            pyCGM_Helpers.getfilenames(1)[1])
        cls.filename_Sample_Static = os.path.join(
            cls.cwd, 'SampleData/ROM/Sample_Static.csv')
        cls.filename_RoboSM_vsk = os.path.join(
            cls.cwd,
            pyCGM_Helpers.getfilenames(3)[2])

        dynamic_trial, static_trial, vsk_file, _, _ = pyCGM_Helpers.getfilenames(
            x=2)
        motion_data = pycgmIO.loadData(os.path.join(cls.cwd, dynamic_trial))
        static_data = pycgmIO.loadData(os.path.join(cls.cwd, static_trial))
        vsk_data = pycgmIO.loadVSK(os.path.join(cls.cwd, vsk_file), dict=False)
        cal_SM = pycgmStatic.getStatic(static_data, vsk_data, flat_foot=False)
        cls.kinematics = pycgmCalc.calcAngles(motion_data,start=0,end=1,\
                         vsk=cal_SM,splitAnglesAxis=False,formatData=False)
Ejemplo n.º 3
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    def calc_frames(self,
                    progress_callback,
                    inarray=None,
                    calibrated_measurements=None):
        length = len(inarray)
        angles = []
        joints = []
        for ind, frame in enumerate(inarray):
            angle, jcs = pyCGM.JointAngleCalc(frame, calibrated_measurements)
            angles.append(angle)
            joints.append(jcs)
            progress_callback.emit((ind + 1) * 100 / length)

        # Overridden in pycgm module
        def calc(a, b, c, d):
            return angles, joints

        pycgmCalc.Calc = calc

        angles, axes = pycgmCalc.calcAngles(inarray,
                                            vsk=calibrated_measurements,
                                            splitAnglesAxis=True,
                                            formatData=True,
                                            axis=True)

        self.set_current_angles(angles)
        self.set_current_axes(axes)
Ejemplo n.º 4
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    def test_getKinetics(self):
        """
        This test provides coverage of the getKinetics function in pycgmKinetics.py,
        defined as getKinetics(data, Bodymass), where data is an array of joint centers 
        and Bodymass is a float or int.

        This test uses helper functions to obtain the data variable (aka joint_centers).

        Each index in accuracyTests is used as parameters for the function getKinetics 
        and the result is then checked to be equal with the same index in 
        accuracyResults using 8 decimal point precision comparison.
        """
        # Testing is done by using 5 different bodymasses and the same joint_center obtained from the helper functions.
        from pyCGM_Single.pyCGM_Helpers import getfilenames
        from pyCGM_Single.pycgmIO import loadData, loadVSK
        from pyCGM_Single.pycgmStatic import getStatic
        from pyCGM_Single.pycgmCalc import calcAngles

        cwd = os.getcwd() + os.sep
        # Data is obtained from the sample files.
        dynamic_trial, static_trial, vsk_file, _, _ = getfilenames(2)
        motionData = loadData(cwd + dynamic_trial)
        staticData = loadData(cwd + static_trial)
        vsk = loadVSK(cwd + vsk_file, dict=False)

        calSM = getStatic(staticData, vsk, flat_foot=False)
        _, joint_centers = calcAngles(motionData,
                                      start=None,
                                      end=None,
                                      vsk=calSM,
                                      splitAnglesAxis=False,
                                      formatData=False,
                                      returnjoints=True)

        accuracyTests = []
        calSM['Bodymass'] = 5.0
        # This creates five individual assertions to check, all with the same joint_centers but different bodymasses.
        for i in range(5):
            accuracyTests.append((joint_centers, calSM['Bodymass']))
            calSM[
                'Bodymass'] += 35.75  #Increment the bodymass by a substantial amount each time.

        accuracyResults = [
            ([246.57466721, 313.55662383, 1026.56323492]),
            ([246.59137623, 313.6216639, 1026.56440096]),
            ([246.60850798, 313.6856272, 1026.56531282]),
            ([246.6260863, 313.74845693, 1026.56594554]),
            ([246.64410308, 313.81017167, 1026.5663452]),
        ]
        for i in range(len(accuracyResults)):
            # Call getKinetics(joint_centers,bodymass) and round each variable in the 3-element returned list to the 8th decimal precision.
            result = [
                np.around(arr, rounding_precision)
                for arr in pycgmKinetics.getKinetics(accuracyTests[i][0],
                                                     accuracyTests[i][1])
            ]

            # Compare the result with the values in the expected results, within a rounding precision of 8.
            np.testing.assert_almost_equal(result[i], accuracyResults[i],
                                           rounding_precision)
Ejemplo n.º 5
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    def test_calcAngles_angles_and_axis(self, kargs, expected_len_result,
                                        expected_first_angle,
                                        expected_first_axis):
        """
        This function tests pycgmCalc.calcAngles(data, **kargs),
        where data is the motion capture data to calculate angles for,
        and **kargs contains many options for how to return the calculated
        data.

        The 'vsk' argument in **kargs is required and used in all tests.

        The previously loaded motion_data in setup_class() is used
        for testing.
        
        This function only tests the usage of key word arguments to 
        customize the layout format, not the accuracy of the results.

        We test the usage of calcAngles() to return both angles and 
        axis.
        """
        kargs['vsk'] = self.cal_SM
        angles, axis = pycgmCalc.calcAngles(self.motion_data, **kargs)
        np.testing.assert_equal(len(angles), expected_len_result)
        np.testing.assert_equal(len(axis), expected_len_result)
        np.testing.assert_almost_equal(angles[0][0], expected_first_angle,
                                       self.rounding_precision)
        np.testing.assert_almost_equal(axis[0][0], expected_first_axis,
                                       self.rounding_precision)
Ejemplo n.º 6
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 def test_calcAngles_joint_centers(self):
     """
     Test returning joint_centers through calcAngles().
     """
     _,joint_centers = pycgmCalc.calcAngles(self.motion_data, vsk=self.cal_SM, frame=0,\
                                            formatData=False, splitAnglesAxis=False, returnjoints=True)
     #Verify that several the expected joint_centers are returned.
     expected_Front_Head = np.array(
         [255.19071198, 406.12081909, 1721.92053223])
     expected_LHip = np.array([182.57097863, 339.43231855, 935.52900126])
     expected_RHand = np.array([859.80614366, 517.28239823, 1051.97278944])
     expected_Thorax = np.array(
         [256.149810236564, 364.3090603933987, 1459.6553639290375])
     expected_LKnee = np.array([143.55478579, 279.90370346, 524.78408753])
     expected_result = [
         expected_Front_Head, expected_LHip, expected_RHand,
         expected_Thorax, expected_LKnee
     ]
     result = [
         joint_centers[0]['Front_Head'], joint_centers[0]['LHip'],
         joint_centers[0]['RHand'], joint_centers[0]['Thorax'],
         joint_centers[0]['LKnee']
     ]
     np.testing.assert_almost_equal(result, expected_result,
                                    self.rounding_precision)
Ejemplo n.º 7
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 def test_calcAngles_angles_or_axis(self, kargs, expected_len_result,
                                    expected_truncated_results):
     """
     Test returning angles only or axis only through the
     keyword arguments in calcAngles(). Test the results are 
     accurate by testing for the first 5 values in the returned
     arrays.
     """
     kargs['vsk'] = self.cal_SM
     result = pycgmCalc.calcAngles(self.motion_data, **kargs)
     np.testing.assert_equal(len(result), expected_len_result)
     np.testing.assert_almost_equal(result[0:5], expected_truncated_results)
Ejemplo n.º 8
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def main():
    #Load the filenames
    #pyCGM_Helpers.py contains some sample directory data based on github directories
    args = pyCGM_Helpers.parse_args()
    dynamic_trial, static_trial, vsk_file = args.dynamic_trial, args.static_trial, args.vsk_file
    outputfile = args.outputDir + "/result_" + str(dynamic_trial[-11:-4])
    CoM_output = args.outputDir + "/result_COM_" + str(dynamic_trial[-11:-4])
    output_jc = args.outputDir + "/result_JC_" + str(
        dynamic_trial[-11:-4]) + ".csv"
    #Load a dynamic trial, static trial, and vsk (subject measurements)
    motionData, vskData, staticData = loadData(dynamic_trial, static_trial,
                                               vsk_file, args.player)
    motionData = editData(motionData, args.player)
    staticData = editData(staticData, args.player)
    #     print(motionData)
    #Calibrate the static offsets and subject measurements
    calSM = pycgmStatic.getStatic(staticData, vskData, flat_foot=False)

    # #Load data as a dictionary instead of a frame-by-frame array of dictionary
    # staticDataDict = pycgmIO.dataAsDict(staticData,npArray=True)
    # motionDataDict = pycgmIO.dataAsDict(motionData,npArray=True)

    # ####  Start Pipeline oeprations
    # movementFilled = rigid_fill(motionDataDict,staticDataDict)
    # movementFiltered = filtering(motionDataDict)
    # movementFinal = prep(movementFiltered)
    # motionData = movementFinal
    # ### End pipeline operations

    #hack for changing the global coordinates until finding a proper way
    # this impacts the global angles, such as pelvis, but not the anatomical angles (e.g., hip)
    #calSM['GCS'] = pycgmStatic.rotmat(x=0,y=0,z=180)
    #calSM['HeadOffset'] = 0  #example of manually modifying a subject measurement

    kinematics, joint_centers = pycgmCalc.calcAngles(motionData,
                                                     start=None,
                                                     end=None,
                                                     vsk=calSM,
                                                     splitAnglesAxis=False,
                                                     formatData=False,
                                                     returnjoints=True)
    kinetics = pycgmCalc.calcKinetics(joint_centers, calSM['Bodymass'])
    df = pd.DataFrame(joint_centers)
    df.to_csv(output_jc)

    #Write the results to a csv file, if wanted,
    # otherwise could just return the angles/axis to some other function
    pycgmIO.writeResult(kinematics, outputfile, angles=True, axis=False)
    pycgmIO.writeKinetics(CoM_output, kinetics)  #quick save of CoM

    return
Ejemplo n.º 9
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 def test_Test_Files_center_of_mass(self):
     """
     Test center of mass output values using sample files in SampleData/Test_Files/.
     """
     motion_data, static_data, vsk_data = load_files(
         self.filename_test_dynamic, self.filename_test_static,
         self.filename_test_vsk)
     cal_SM = getStatic(static_data, vsk_data, flat_foot=False)
     kinematics, joint_centers = calcAngles(motion_data,
                                            vsk=cal_SM,
                                            splitAnglesAxis=False,
                                            formatData=False,
                                            returnjoints=True)
     kinetics = calcKinetics(joint_centers, cal_SM['Bodymass'])
     expected = load_center_of_mass(
         os.path.join(self.directory_test, 'Movement_trial.csv'), 5, 2)
     compare_center_of_mass(kinetics, expected, 30)
Ejemplo n.º 10
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    def setup_class(self):
        """
        Called once for all tests in TestCSVOutput.
        Sets rounding precision, and sets the current working
        directory to the pyCGM folder. Sets the current python version
        and loads filenames used for testing.

        We also use the pycgm functions to generate and load output CSV data
        and load them into the class.
        """
        self.rounding_precision = 8
        cwd = os.getcwd()
        if (cwd.split(os.sep)[-1] == "pyCGM_Single"):
            parent = os.path.dirname(cwd)
            os.chdir(parent)
        self.cwd = os.getcwd()
        self.pyver = sys.version_info.major

        #Create a temporary directory used for writing CSVs to
        if (self.pyver == 2):
            self.tmp_dir_name = tempfile.mkdtemp()
        else:
            self.tmp_dir = tempfile.TemporaryDirectory()
            self.tmp_dir_name = self.tmp_dir.name

        #Create file path names for the files being tested
        self.sample_data_directory = os.path.join(self.cwd, "SampleData")
        self.directory_59993_Frame = os.path.join(self.sample_data_directory,
                                                  '59993_Frame')
        self.directory_ROM = os.path.join(self.sample_data_directory, 'ROM')
        self.directory_test = os.path.join(self.sample_data_directory,
                                           'Test_Files')

        #Load outputs to be tested for SampleData/59993_Frame/

        self.filename_59993_Frame_dynamic = os.path.join(
            self.directory_59993_Frame, '59993_Frame_Dynamic.c3d')
        self.filename_59993_Frame_static = os.path.join(
            self.directory_59993_Frame, '59993_Frame_Static.c3d')
        self.filename_59993_Frame_vsk = os.path.join(
            self.directory_59993_Frame, '59993_Frame_SM.vsk')

        motion_data, static_data, vsk_data = load_files(
            self.filename_59993_Frame_dynamic,
            self.filename_59993_Frame_static, self.filename_59993_Frame_vsk)
        cal_SM = getStatic(static_data, vsk_data, flat_foot=False)
        kinematics, joint_centers = calcAngles(motion_data,
                                               start=0,
                                               end=500,
                                               vsk=cal_SM,
                                               splitAnglesAxis=False,
                                               formatData=False,
                                               returnjoints=True)

        outfile = os.path.join(self.tmp_dir_name, 'output_59993_Frame')
        writeResult(kinematics, outfile, angles=True, axis=False)
        expected_file = os.path.join(self.directory_59993_Frame,
                                     'pycgm_results.csv.csv')

        self.result_59993_Frame = load_output_csv(outfile + '.csv')
        self.expected_59993_Frame = load_output_csv(expected_file)

        #Load outputs to be tested for SampleData/ROM/

        self.filename_ROM_dynamic = os.path.join(self.directory_ROM,
                                                 'Sample_Dynamic.c3d')
        self.filename_ROM_static = os.path.join(self.directory_ROM,
                                                'Sample_Static.c3d')
        self.filename_ROM_vsk = os.path.join(self.directory_ROM,
                                             'Sample_SM.vsk')

        motion_data, static_data, vsk_data = load_files(
            self.filename_ROM_dynamic, self.filename_ROM_static,
            self.filename_ROM_vsk)
        cal_SM = getStatic(static_data, vsk_data, flat_foot=False)
        kinematics, joint_centers = calcAngles(motion_data,
                                               vsk=cal_SM,
                                               splitAnglesAxis=False,
                                               formatData=False,
                                               returnjoints=True)

        outfile = os.path.join(self.tmp_dir_name, 'output_ROM')
        writeResult(kinematics, outfile, angles=True, axis=False)
        expected_file = os.path.join(self.directory_ROM,
                                     'pycgm_results.csv.csv')

        self.result_ROM = load_output_csv(outfile + '.csv')
        self.expected_ROM = load_output_csv(expected_file)

        #Load outputs to be tested for SampleData/Test_Files/

        self.filename_test_dynamic = os.path.join(self.directory_test,
                                                  'Movement_trial.c3d')
        self.filename_test_static = os.path.join(self.directory_test,
                                                 'Static_trial.c3d')
        self.filename_test_vsk = os.path.join(self.directory_test, 'Test.vsk')

        motion_data, static_data, vsk_data = load_files(
            self.filename_test_dynamic, self.filename_test_static,
            self.filename_test_vsk)
        cal_SM = getStatic(static_data, vsk_data, flat_foot=False)
        kinematics, joint_centers = calcAngles(motion_data,
                                               vsk=cal_SM,
                                               splitAnglesAxis=False,
                                               formatData=False,
                                               returnjoints=True)

        outfile = os.path.join(self.tmp_dir_name, 'output_Test_Files')
        writeResult(kinematics, outfile, angles=True, axis=False)
        expected_file = os.path.join(self.directory_test, 'Movement_trial.csv')

        self.result_Test_Files = load_output_csv(outfile + '.csv')
        self.expected_Test_Files = load_output_csv(expected_file,
                                                   header_line_number=2,
                                                   first_output_row=5,
                                                   first_output_col=2,
                                                   label_prefix_len=5)