Scaling and selection of features?

[mukeshnarendran7]

Hi thanks for sharing your great repo. I'd like to apply my custom dataset to a set of keypoints from a different domain. I' d like to use a pre-trained model from the JHDB dataset as i have 2D skeleton information.

• How can i scale all my keypoints similar to how the JHMBD input has been done or can i pass raw keypoint through the zoom function.
• Does there need to be an order of the keypoints?
• In the below snippet What would be feat_d (why 105) and filter? Do i need to modify it?
• What does the zoom function do?

class Config():
    def __init__(self):
        self.frame_l = 32 # the length of frames
        self.joint_n = 15 # the number of joints
        self.joint_d = 2 # the dimension of joints
        self.clc_num = 21 # the number of class
        self.feat_d = 105
        self.filters = 64
C = Config()