:param input_feature: num of input feature :param hidden_feature: num of hidden feature :param p_dropout: drop out prob.

Borrowed from SRNN code. Reads a csv and returns a float matrix. https://github.com/asheshjain399/NeuralModels/blob/master/neuralmodels/utils

data:[bs, 60, 96]

data:[bs, 60, 96]

data:[bs, 60, 96]

Convert joint angles and bone lenghts into the 3d points of a person. adapted from https://github.com/una-dinosauria/human-motion-predic

Append a [0, 0, 0, 1] tensor to a [3, 4] tensor. Parameter: --------- x: Tensor to be appended. Return: ------ Tensor a

borrowed from https://github.com/una-dinosauria/human-motion-prediction/blob/master/src/forward_kinematics.py#L100 We define some variab

pytorch version of fkl. convert joint angles to joint locations batch pytorch version of the fkl() method above :param angles: N*99

Converts a quaternion to an exponential map Matlab port to python for evaluation purposes https://github.com/asheshjain399/RNNexp/blob/sr

Rodrigues' rotation formula that turns axis-angle tensor into rotation matrix in a batch-ed manner. Parameter: ---------- r: Axi

Converts a rotation matrix to a quaternion Matlab port to python for evaluation purposes https://github.com/asheshjain399/RNNexp/blob/srn

Borrowed from SRNN code. Reads a csv file and returns a float32 matrix. https://github.com/asheshjain399/RNNexp/blob/srnn/structural_rnn/CRFProble

:param path_to_data: :param actions: :param input_n: :param output_n: :param dct_used: :param split:

:param path_to_data: :param actions: :param input_n: :param output_n: :param dct_used: :param split:

:param path_to_data: :param actions: :param input_n: :param output_n: :param dct_used: :param split:

Define a residual block of GCN

:param input_feature: num of input feature :param hidden_feature: num of hidden feature :param p_dropout: drop out prob.

:param input_feature: num of input feature :param hidden_feature: num of hidden feature :param p_dropout: drop out prob.

We define some variables that are useful to run the kinematic tree Args None Returns parent: 32-long vector with parent-chil

:param p3d0:[batch_size, joint_num, 3] :param pose:[batch_size, joint_num, 3] :param parent: :return:

Define the list of actions we are using. Args action: String with the passed action. Could be "all" Returns actions: List of

Define the list of actions we are using. Args action: String with the passed action. Could be "all" Returns actions: List of

Converts expmap to quaternion batch pytorch version ported from the corresponding numpy method above :param R: N*3 :return: N*4

Converts an exponential map angle to a rotation matrix Matlab port to python for evaluation purposes I believe this is also called Rodrig

Converts expmap matrix to rotation batch pytorch version ported from the corresponding method above :param r: N*3 :return: N*3*3

convert expmaps to joint locations :param expmap: N*99 :return: N*32*3

Adapted from https://github.com/una-dinosauria/human-motion-prediction/blob/master/src/seq2seq_model.py#L478 which originaly from In ord

Adapted from https://github.com/una-dinosauria/human-motion-prediction/blob/master/src/seq2seq_model.py#L478 which originaly from In ord

Also borrowed for SRNN code. Computes mean, stdev and dimensions to ignore. https://github.com/asheshjain399/RNNexp/blob/srnn/structural_rnn/

Normalize input data by removing unused dimensions, subtracting the mean and dividing by the standard deviation Args data: nx99 ma

:param x: N K 3 or N K 2 :param x_target: N K 3 or N K 2 :return:

:param cam: b*[s,tx,ty] :param pts: b*k*3 :return:

Append zero tensors of shape [4, 3] to a batch of [4, 1] shape tensor. Parameter: ---------- x: A tensor of shape [batch_size, 4, 1]

Converts the output of the neural network to a format that is more easy to manipulate for, e.g. conversion to other format or visualization

Converts a rotation matrix to Euler angles Matlab port to python for evaluation purposes https://github.com/asheshjain399/RNNexp/blob/srn

Converts a rotation matrix to euler angles batch pytorch version ported from the corresponding numpy method above :param R:N*3*3 :re

Converts a rotation matrix to quaternion batch pytorch version ported from the corresponding numpy method above :param R: N * 3 * 3 :