def extract_manual_features()

in fairmotion/tasks/clustering/generate_features.py [0:0]

• 96 lines of code
• 2 McCabe index (conditional complexity)

def extract_manual_features(motion):
    features = []
    f = manual.ManualFeatures(motion, feat_utils.Skeleton.PFNN)
    for _ in range(1, motion.num_frames(), 30):
        pose_features = []
        pose_features.append(
            f.f_nmove("neck", "rhip", "lhip", "rwrist", 1.8 * f.hl)
        )
        pose_features.append(
            f.f_nmove("neck", "lhip", "rhip", "lwrist", 1.8 * f.hl)
        )
        pose_features.append(
            f.f_nplane("chest", "neck", "neck", "rwrist", 0.2 * f.hl)
        )
        pose_features.append(
            f.f_nplane("chest", "neck", "neck", "lwrist", 0.2 * f.hl)
        )
        pose_features.append(
            f.f_move("belly", "chest", "chest", "rwrist", 1.8 * f.hl)
        )
        pose_features.append(
            f.f_move("belly", "chest", "chest", "lwrist", 1.8 * f.hl)
        )
        pose_features.append(
            f.f_angle("relbow", "rshoulder", "relbow", "rwrist", [0, 110])
        )
        pose_features.append(
            f.f_angle("lelbow", "lshoulder", "lelbow", "lwrist", [0, 110])
        )
        pose_features.append(
            f.f_nplane(
                "lshoulder", "rshoulder", "lwrist", "rwrist", 2.5 * f.sw
            )
        )
        pose_features.append(
            f.f_move("lwrist", "rwrist", "rwrist", "lwrist", 1.4 * f.hl)
        )
        pose_features.append(
            f.f_move("rwrist", "root", "lwrist", "root", 1.4 * f.hl)
        )
        pose_features.append(
            f.f_move("lwrist", "root", "rwrist", "root", 1.4 * f.hl)
        )
        pose_features.append(f.f_fast("rwrist", 2.5 * f.hl))
        pose_features.append(f.f_fast("lwrist", 2.5 * f.hl))
        pose_features.append(
            f.f_plane("root", "lhip", "ltoes", "rankle", 0.38 * f.hl)
        )
        pose_features.append(
            f.f_plane("root", "rhip", "rtoes", "lankle", 0.38 * f.hl)
        )
        pose_features.append(
            f.f_nplane("zero", "y_unit", "y_min", "rankle", 1.2 * f.hl)
        )
        pose_features.append(
            f.f_nplane("zero", "y_unit", "y_min", "lankle", 1.2 * f.hl)
        )
        pose_features.append(
            f.f_nplane("lhip", "rhip", "lankle", "rankle", 2.1 * f.hw)
        )
        pose_features.append(
            f.f_angle("rknee", "rhip", "rknee", "rankle", [0, 110])
        )
        pose_features.append(
            f.f_angle("lknee", "lhip", "lknee", "lankle", [0, 110])
        )
        pose_features.append(f.f_fast("rankle", 2.5 * f.hl))
        pose_features.append(f.f_fast("lankle", 2.5 * f.hl))
        pose_features.append(
            f.f_angle("neck", "root", "rshoulder", "relbow", [25, 180])
        )
        pose_features.append(
            f.f_angle("neck", "root", "lshoulder", "lelbow", [25, 180])
        )
        pose_features.append(
            f.f_angle("neck", "root", "rhip", "rknee", [50, 180])
        )
        pose_features.append(
            f.f_angle("neck", "root", "lhip", "lknee", [50, 180])
        )
        pose_features.append(
            f.f_plane("rankle", "neck", "lankle", "root", 0.5 * f.hl)
        )
        pose_features.append(
            f.f_angle("neck", "root", "zero", "y_unit", [70, 110])
        )
        pose_features.append(
            f.f_nplane("zero", "minus_y_unit", "y_min", "rwrist", -1.2 * f.hl)
        )
        pose_features.append(
            f.f_nplane("zero", "minus_y_unit", "y_min", "lwrist", -1.2 * f.hl)
        )
        pose_features.append(f.f_fast("root", 2.3 * f.hl))
        features.append(pose_features)
        f.next_frame()
    return features