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import torch | |
import sys | |
sys.path.append('../..') | |
from diffsynth import ModelManager, WanVideoPipeline, save_video | |
from PIL import Image | |
import time | |
import os | |
from peft import LoraConfig, get_peft_model | |
from diffsynth import load_state_dict | |
from modelscope import snapshot_download |
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import os | |
import numpy as np | |
import joblib | |
import time | |
import alf | |
import tensorflow_datasets as tfds | |
import tensorflow as tf | |
from PIL import Image | |
import io | |
import pprint |
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from typing import List, Tuple, Optional, Dict, Any | |
import numpy as np | |
import os | |
import cv2 | |
import random | |
from pynvml import * | |
import logging | |
# Set the logging level to INFO | |
logging.basicConfig(level=logging.INFO) |
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import os | |
import subprocess | |
import numpy as np | |
from typing import List, Dict | |
import pickle | |
import matplotlib.collections as mcoll | |
from matplotlib import pyplot as plt | |
layout = {'hazard0': b' ?)l\xc6\xc2\xe9\xbf\xb6\x14]<\xe3J\xf2\xbf', | |
'hazard1': b'\xe8i\x181\xc82\xca?\xb471)\x08\xf7\xde\xbf', |
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import os | |
os.environ["MUJOCO_GL"] = 'egl' | |
#os.chdir("./mujoco_menagerie/anybotics_anymal_b/") | |
os.chdir("./mujoco_menagerie/unitree_a1/") | |
import xmltodict | |
import mujoco | |
import mediapy as media | |
import numpy as np |
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