Hi authors,
I am very interested in your work. I want to use shape parameters of your dataset to generate some animal meshes via SMAL model. But I am a little confused about the length of shape parameters. I found SMAL need 41 shape parameters and for your dataset there are 20 parameter for "shape" and another "21" for "shape_extra". should I concat them into one list like blow?
``
import json
import numpy as np
poseData = []
betasData = []
with open('train.json') as f:
data = json.load(f)
for dataInstance in data['data']:
pose = dataInstance['pose']
betas = dataInstance['shape']+dataInstance['shape_extra']
#print(len(betas))
poseData.append(pose)
betasData.append(betas)
Hi authors, I am very interested in your work. I want to use shape parameters of your dataset to generate some animal meshes via SMAL model. But I am a little confused about the length of shape parameters. I found SMAL need 41 shape parameters and for your dataset there are 20 parameter for "shape" and another "21" for "shape_extra". should I concat them into one list like blow?
`` import json import numpy as np
poseData = [] betasData = [] with open('train.json') as f: data = json.load(f)
``