Function draw_M

tools/preprocess/human_visualization.py:255–408

Draw keypoints and connections representing hand pose on a given canvas. Args: canvas (np.ndarray): A 3D numpy array representing the canvas (image) on which to draw the hand pose. keypoints (List[Keypoint]| None): A list of Keypoint objects representing the hand keypoints

(img, kp2ds, threshold=0.6, data_to_json=None, idx=-1, kp2ds_lhand=None, kp2ds_rhand=None, draw_hand=False, stick_width_norm=200, draw_head=True)

def draw_M(img, kp2ds, threshold=0.6, data_to_json=None, idx=-1, kp2ds_lhand=None, kp2ds_rhand=None, draw_hand=False, stick_width_norm=200, draw_head=True):
    """
    Draw keypoints and connections representing hand pose on a given canvas.

    Args:
        canvas (np.ndarray): A 3D numpy array representing the canvas (image) on which to draw the hand pose.
        keypoints (List[Keypoint]| None): A list of Keypoint objects representing the hand keypoints to be drawn
                                          or None if no keypoints are present.

    Returns:
        np.ndarray: A 3D numpy array representing the modified canvas with the drawn hand pose.

    Note:
        The function expects the x and y coordinates of the keypoints to be normalized between 0 and 1.
    """

    new_kep_list = [
        "Nose",
        "Neck",
        "RShoulder",
        "RElbow",
        "RWrist",  # No.4
        "LShoulder",
        "LElbow",
        "LWrist",  # No.7
        "RHip",
        "RKnee",
        "RAnkle",  # No.10
        "LHip",
        "LKnee",
        "LAnkle",  # No.13
        "REye",
        "LEye",
        "REar",
        "LEar",
        "LToe",
        "RToe",
    ]
    # kp2ds_body = (kp2ds.copy()[[0, 6, 6, 8, 10, 5, 7, 9, 12, 14, 16, 11, 13, 15, 2, 1, 4, 3, 17, 20]] + \
    #              kp2ds.copy()[[0, 5, 6, 8, 10, 5, 7, 9, 12, 14, 16, 11, 13, 15, 2, 1, 4, 3, 18, 21]]) / 2
    kp2ds = kp2ds.copy()
    # import ipdb; ipdb.set_trace()
    kp2ds[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 19], 2] = 0
    if not draw_head:
        kp2ds[[0, 14, 15, 16, 17], 2] = 0
    kp2ds_body = kp2ds
    # kp2ds_body = kp2ds_body[:18]

    # kp2ds_lhand = kp2ds.copy()[91:112]
    # kp2ds_rhand = kp2ds.copy()[112:133]

    limbSeq = [
        # [2, 3],
        # [2, 6],  # shoulders
        # [3, 4],
        # [4, 5],  # left arm
        # [6, 7],
        # [7, 8],  # right arm