def p_marker_embed(config, INFO_items, tot_bp):
num_fr, num_bp, num_dim = tot_bp.shape
tot_bp_mod = tot_bp[:,:,0:num_dim-1].reshape(num_fr, num_bp*(num_dim-1))
embeddings = cuml_umap(config, tot_bp_mod)
plot_embeddings(embeddings, title="Marker Postural",fname="marker_postural_embeddings")
save_embeddings(config, INFO_items, embeddings, fname="marker_postural_embeddings")
return
def k_limb_embed(config, INFO_items, tot_limb_pwr):
num_fr, num_freq, num_feat = tot_limb_pwr.shape
limb_kinematic_pca, _ = cuml_pca(config,
tot_limb_pwr.reshape(num_fr, num_freq*num_feat),
components=config['limb_kinematic_pca_components'])
embeddings = cuml_umap(config, limb_kinematic_pca)
plot_embeddings(embeddings, title="Limb Kinematic", fname="limb_kinematic_embeddings")
save_embeddings(config, INFO_items, embeddings, fname="limb_kinematic_embeddings")
return
def k_angle_embed(config, INFO_items, tot_angle_pwr):
num_fr, num_freq, num_feat = tot_angle_pwr.shape
angle_kinematic_pca, _ = cuml_pca(config,
tot_angle_pwr.reshape(num_fr, num_freq*num_feat),
components=config['angle_kinematic_pca_components'])
embeddings = cuml_umap(config, angle_kinematic_pca)
plot_embeddings(embeddings, title="Angle Kinematic", fname="angle_kinematic_embeddings")
save_embeddings(config, INFO_items, embeddings, fname="angle_kinematic_embeddings")
return
def k_marker_embed(config, INFO_items, tot_marker_pwr):
num_fr, num_freq, num_feat = tot_marker_pwr.shape
marker_kinematic_pca, _ = cuml_pca(config,
tot_marker_pwr.reshape(num_fr, num_freq*num_feat),
components=config['marker_kinematic_pca_components'])
embeddings = cuml_umap(config, marker_kinematic_pca)
plot_embeddings(embeddings, title="Marker Kinematic", fname="marker_kinematic_embeddings")
save_embeddings(config, INFO_items, embeddings, fname="marker_kinematic_embeddings")
return
def p_limb_embed(config, INFO_items, tot_limb):
embeddings = cuml_umap(config, tot_limb)
plot_embeddings(embeddings,
title="Limb Postural",
fname="limb_postural_embeddings")
save_embeddings(config,
INFO_items,
embeddings,
fname="limb_postural_embeddings")
return
def p_angle_embed(config, INFO_items, tot_angle):
embeddings = cuml_umap(config, tot_angle)
plot_embeddings(embeddings,
title="Angle Postural",
fname="angle_postural_embeddings")
save_embeddings(config,
INFO_items,
embeddings,
fname="angle_postural_embeddings")
return
def p_angle_limb_embed(config, INFO_items, tot_angle, tot_limb):
postural_features = np.concatenate([tot_angle, tot_limb], axis=1)
embeddings = cuml_umap(config, postural_features)
plot_embeddings(embeddings,
title="Angle & Limb Postural",
fname="angle_limb_postural_embeddings")
save_embeddings(config,
INFO_items,
embeddings,
fname="all_postural_embeddings")
return
def k_angle_limb_embed(config, INFO_items, tot_angle_pwr, tot_limb_pwr):
num_fr, num_freq, num_angle_feat = tot_angle_pwr.shape
num_fr, num_freq, num_limb_feat = tot_limb_pwr.shape
angle_kinematic_pca, _ = cuml_pca(config,
tot_angle_pwr.reshape(num_fr, num_freq*num_angle_feat),
components=config['angle_kinematic_pca_components'])
limb_kinematic_pca, _ = cuml_pca(config,
tot_limb_pwr.reshape(num_fr, num_freq*num_limb_feat),
components=config['limb_kinematic_pca_components'])
kinematic_features = np.concatenate([
angle_kinematic_pca,
limb_kinematic_pca
], axis=1)
embeddings = cuml_umap(config, kinematic_features)
plot_embeddings(embeddings, title="All Kinematic", fname="all_kinematic_embeddings")
save_embeddings(config, INFO_items, embeddings, fname="all_kinematic_embeddings")
return
def kp_angle_limb_embed(config, INFO_items, tot_angle, tot_limb, tot_angle_pwr, tot_limb_pwr):
postural_features = np.concatenate([tot_angle, tot_limb], axis=1)
num_fr, num_freq, num_angle_feat = tot_angle_pwr.shape
num_fr, num_freq, num_limb_feat = tot_limb_pwr.shape
angle_kinematic_pca, _ = cuml_pca(config,
tot_angle_pwr.reshape(num_fr, num_freq*num_angle_feat),
components=config['angle_kinematic_pca_components'])
limb_kinematic_pca, _ = cuml_pca(config,
tot_limb_pwr.reshape(num_fr, num_freq*num_limb_feat),
components=config['limb_kinematic_pca_components'])
kinematic_features = np.concatenate([
angle_kinematic_pca,
limb_kinematic_pca], axis=1)
kp_angle_limb_features = np.concatenate([postural_features, kinematic_features], axis=1)
embeddings = cuml_umap(config, kp_angle_limb_features)
plot_embeddings(embeddings, title="Kinematic & Postural, Angle & Limb Feature", fname="kp_angle_limb_embeddings")
save_embeddings(config, INFO_items, embeddings, fname="all_embeddings")
return
