mirror of
https://github.com/gosticks/body-pose-animation.git
synced 2025-10-16 11:45:42 +00:00
68 lines
1.8 KiB
Python
68 lines
1.8 KiB
Python
import pickle
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import time
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from train import create_animation
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from tqdm import tqdm
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from utils.video import make_video, video_from_pkl
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import torch
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import itertools
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import numpy as np
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from dataset import SMPLyDataset
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from model import *
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from utils.general import *
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from renderer import *
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from utils.general import rename_files, get_new_filename
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START_IDX = 50 # starting index of the frame to optimize for
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FINISH_IDX = 100 # choose a big number to optimize for all frames in samples
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device = torch.device('cpu')
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dtype = torch.float32
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config = load_config()
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dataset = SMPLyDataset.from_config(config)
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model = SMPLyModel.model_from_conf(config)
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def run_test(config):
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_, filename = create_animation(
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dataset,
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config,
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START_IDX,
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FINISH_IDX,
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verbose=False,
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offscreen=False,
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save_to_file=True
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)
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video_name = getfilename_from_conf(
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config) + "-" + str(START_IDX) + "-" + str(FINISH_IDX)
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video_name = os.path.join(config['output']['rootDir'], video_name)
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video_from_pkl(filename, video_name, config)
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def run_pose_tests(config):
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priors_types = ['temporal']
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l = [True, False]
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permutations = [list(i)
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for i in itertools.product(l, repeat=len(priors_types))]
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for p in permutations:
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print("running test:", config['pose']['optimizer'])
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# iterate over all permutations and update config
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for i, v in enumerate(p):
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config['pose'][priors_types[i]]['enabled'] = v
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print(priors_types[i] + ":", v)
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run_test(config)
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print("------------------------------------------------")
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print("training: LBFGS")
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# run tests for adam
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run_pose_tests(config)
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# print("training: LBFGS")
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# # try the same with lbfgs
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# config = load_config("./config.lbfgs.temporal.yaml")
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# run_pose_tests(config)
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