python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import sys
import tarfile
import cv2
from PIL import Image
import numpy as np
import torch.utils.data as data
f... | astmt-master | fblib/dataloaders/pascal_sal.py |
astmt-master | fblib/networks/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import math
import torch
import torch.nn as nn
from fblib.util.mypath import Path
try:
from torch.hub imp... | astmt-master | fblib/networks/classification/mobilenet_v2.py |
astmt-master | fblib/networks/classification/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import math
from collections import OrderedDict
import torch
import torch.nn as nn
from fblib.util.mypath imp... | astmt-master | fblib/networks/classification/se_mobilenet_v2.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import torch.nn as nn
from copy import deepcopy
import math
import torch.nn.functional as F
try:
from itertools impor... | astmt-master | fblib/networks/classification/resnext.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import math
from collections import OrderedDict
import torch
import torch.nn as nn
import torch.utils.model_zoo... | astmt-master | fblib/networks/classification/resnet.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import math
import torch
import torch.nn as nn
from collections import OrderedDict
from fblib.util.mypath impo... | astmt-master | fblib/networks/classification/se_resnet.py |
astmt-master | fblib/networks/torch2pytorch/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import torch
import torch.nn as nn
from functools import reduce
from fblib.util.mypath import Path
class Lamb... | astmt-master | fblib/networks/torch2pytorch/resnext_101_32x4d.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import torch
import torch.nn as nn
from functools import reduce
from fblib.util.mypath import Path
class Lamb... | astmt-master | fblib/networks/torch2pytorch/resnext_50_32x4d.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import numpy as np
from copy import deepcopy
import torch
import torch.nn as nn
from torch.nn import init
from ... | astmt-master | fblib/networks/deeplab_single_task/deeplab_resnet.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import numpy as np
from copy import deepcopy
import torch
import torch.nn as nn
from torch.nn import init
from torch.nn i... | astmt-master | fblib/networks/deeplab_single_task/deeplab_se_resnet.py |
astmt-master | fblib/networks/deeplab_single_task/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import fblib.networks.classific... | astmt-master | fblib/networks/deeplab_single_task/deeplab_mobilenet_v2.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import torch.nn as nn
from torch.nn import functional as F
import torch
affine_par = True
class AtrousSpatialPyramidPoo... | astmt-master | fblib/networks/deeplab_single_task/classifiers.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import math
from copy import deepcopy
from collections import OrderedDict
import torch
import torch.nn as nn
f... | astmt-master | fblib/networks/deeplab_single_task/resnet.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import math
from copy import deepcopy
import numpy as np
import torch
import torch.nn as nn
from torch.nn import init
fro... | astmt-master | fblib/networks/deeplab_single_task/deeplab_resnext.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import grad
from fbli... | astmt-master | fblib/networks/deeplab_multi_task/deeplab_se_mobilenet_v2_multitask.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from copy import deepcopy
import torch
import torch.nn as nn
from torch.nn import init
from torch.nn import functional as... | astmt-master | fblib/networks/deeplab_multi_task/deeplab_se_resnet_multitask.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import torch
import torch.nn as nn
import torch.nn.functional as F
from fblib.networks.deeplab_multi_task.classifiers_mul... | astmt-master | fblib/networks/deeplab_multi_task/decoders.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import torch.nn as nn
class Discriminator(nn.Module):
def __init__(self, in_channels, n_classes):
super(Disc... | astmt-master | fblib/networks/deeplab_multi_task/discriminators.py |
astmt-master | fblib/networks/deeplab_multi_task/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.nn import init
from fblib.layers.squeez... | astmt-master | fblib/networks/deeplab_multi_task/classifiers_multitask.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import numpy as np
def jaccard(gt, pred, void_pixels=None):
assert(gt.shape == pred.shape)
if void_pixels is N... | astmt-master | fblib/evaluation/jaccard.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import warnings
import cv2
import os.path
import numpy as np
import glob
import json
def eval_albedo(loader, folder):
... | astmt-master | fblib/evaluation/eval_albedo.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import glob
import json
from fblib.util.mypath import Path
def sync_and_evaluate_one_folder(database, save_di... | astmt-master | fblib/evaluation/eval_edges.py |
astmt-master | fblib/evaluation/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import warnings
import cv2
import os.path
import glob
import json
import numpy as np
from PIL import Image
VOC_CATEGORY_N... | astmt-master | fblib/evaluation/eval_semseg.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import glob
import json
from fblib.util.mypath import Path
def exists_dir(dir_in):
fold_lst = os.listdir... | astmt-master | fblib/evaluation/parse_eval_results.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import warnings
import cv2
import glob
import json
import os.path
import numpy as np
from PIL import Image
PART_CATEGORY_... | astmt-master | fblib/evaluation/eval_human_parts.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import warnings
import cv2
import os.path
import numpy as np
import glob
import json
def normal_ize(arr):
arr_norm =... | astmt-master | fblib/evaluation/eval_normals.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import warnings
import cv2
import os.path
import numpy as np
import glob
import json
from PIL import Image
import fblib.e... | astmt-master | fblib/evaluation/eval_sal.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import warnings
import cv2
import os.path
import numpy as np
import glob
import json
import scipy.io as sio
def eval_dep... | astmt-master | fblib/evaluation/eval_depth.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import os
import random
import shutil
import pandas as pd
import tqdm
if __name__ == "__main... | active_indexing-main | prepare_disc.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import tqdm
import json
import torch
from torch import device
from torchvision import transform... | active_indexing-main | extract_fts.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
from augly.image import functional as aug_functional
import torch
from torchvision import transforms
f... | active_indexing-main | activeindex/utils_img.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
class JND(nn.Module):
""" https://ieeexplore.ieee.... | active_indexing-main | activeindex/attenuations.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import os
import random
from typing import Any, Dict, List, NamedTuple, Tuple
import augly.im... | active_indexing-main | activeindex/augment_queries.py |
active_indexing-main | activeindex/__init__.py | |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import time
from typing import Callable
import faiss
import numpy as np
import torch
from tor... | active_indexing-main | activeindex/engine.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import functools
import logging
import os
import faiss
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES =... | active_indexing-main | activeindex/utils.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import random
import faiss
import tqdm
import numpy as np
import pandas as pd
import torch
imp... | active_indexing-main | activeindex/main.py |
Active-3D-Vision-and-Touch-main | __init__.py | |
#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import setuptools
setuptools.setup(
name="pterotactyl",
version="0.1.0",
author="Facebook AI Research",
... | Active-3D-Vision-and-Touch-main | setup.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| Active-3D-Vision-and-Touch-main | pterotactyl/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| Active-3D-Vision-and-Touch-main | pterotactyl/objects/__init__.py |
Active-3D-Vision-and-Touch-main | pterotactyl/objects/hand/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
import torch
from pterotactyl.utility import utils
BASE_MESH_SIZE = 1824
BASE_CHART_SIZE = 25
# replay buffer u... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/replay.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
import numpy as np
import torch
import torch.utils.data
from pterotactyl.utility import utils
from pterotactyl.utility... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/environment.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.nn as nn
import torch
from pterotactyl.utility import utils
class Latent_Model(nn.Module):
def __init__(self, args):
... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/supervised/model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import json
import argparse
from collections import namedtuple
from tqdm import tqdm
from torch.utils.data import DataLoader
import t... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/supervised/train.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import random
import torch
import torch.nn as nn
import torch.optim as optim
from pterotactyl.policies.DDQN import model
from pterotactyl.poli... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/DDQN/ddqn.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn as nn
import torch
from torch.nn.parameter import Parameter
import torch.nn.functional as F
import numpy as np
fro... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/DDQN/model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import DataLoader
import torch
import argparse
from submitit.... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/DDQN/train.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
from tqdm import tqdm
from torch.utils.data import DataLoader
import torch
import argparse
import numpy as np
from subm... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/NearestNeighbor/train.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import random
# class for getting radnom samples from the space of action
class random_sampler:
def __init__(self, args... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/baselines/baselines.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from tqdm import tqdm
import os
from torch.utils.data import DataLoader
import torch
import argparse
from pterotactyl.policies import environm... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/baselines/even.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from tqdm import tqdm
import os
from torch.utils.data import DataLoader
import torch
import argparse
from pterotactyl.policies import environm... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/baselines/greedy.py |
Active-3D-Vision-and-Touch-main | pterotactyl/policies/baselines/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from tqdm import tqdm
from torch.utils.data import DataLoader
import torch
import argparse
from pterotactyl.policies import environm... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/baselines/rand.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
from tqdm import tqdm
import numpy as np
from torch.utils.data import DataLoader
import torch
import argparse
from subm... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/dataset_specific/MFBA.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
from tqdm.notebook import tqdm
import numpy as np
from torch.utils.data import DataLoader
import torch
import argparse
... | Active-3D-Vision-and-Touch-main | pterotactyl/policies/dataset_specific/LEBA.py |
Active-3D-Vision-and-Touch-main | pterotactyl/simulator/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import numpy as np
from scipy.spatial.transform import Rotation as R
import pyrender
import t... | Active-3D-Vision-and-Touch-main | pterotactyl/simulator/rendering/vision_renderer.py |
Active-3D-Vision-and-Touch-main | pterotactyl/simulator/rendering/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import numpy as np
import cv2
import pyrender
import trimesh
from scipy.spatial.transform im... | Active-3D-Vision-and-Touch-main | pterotactyl/simulator/rendering/tacto_renderer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import numpy as np
import pyrender
from pterotactyl.utility import utils
class Renderer:
... | Active-3D-Vision-and-Touch-main | pterotactyl/simulator/rendering/touch_renderer.py |
Active-3D-Vision-and-Touch-main | pterotactyl/simulator/physics/__init__.py | |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import numpy as np
import trimesh
from scipy.spatial.transform import Rotation as R
from scipy.spatial import ConvexHull
from pt... | Active-3D-Vision-and-Touch-main | pterotactyl/simulator/physics/grasping.py |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import os
import pybullet as pb
import numpy as np
import trimesh
import torch
from scipy.spatial.transform import Rotation as R... | Active-3D-Vision-and-Touch-main | pterotactyl/simulator/scene/instance.py |
Active-3D-Vision-and-Touch-main | pterotactyl/simulator/scene/__init__.py | |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import os
import numpy as np
import pybullet_utils.bullet_client as bc
import pybullet as pb
import pybullet_data
import torch
f... | Active-3D-Vision-and-Touch-main | pterotactyl/simulator/scene/sampler.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| Active-3D-Vision-and-Touch-main | pterotactyl/object_data/__init__.py |
Active-3D-Vision-and-Touch-main | pterotactyl/reconstruction/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn as nn
import torch
import numpy as np
from torch.nn.parameter import Parameter
import torch.nn.functional as F
# ... | Active-3D-Vision-and-Touch-main | pterotactyl/reconstruction/autoencoder/model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import torch
import numpy as np
from tqdm import tqdm
import argparse
import random
from PIL import Image
from torch.utils.tensorboar... | Active-3D-Vision-and-Touch-main | pterotactyl/reconstruction/autoencoder/train.py |
Active-3D-Vision-and-Touch-main | pterotactyl/reconstruction/touch/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
# CNN block
class DoubleConv(nn.Module):
def __init__(self, in_channels, out_channels, last=False):
... | Active-3D-Vision-and-Touch-main | pterotactyl/reconstruction/touch/model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import torch
from tqdm import tqdm
import argparse
from torch.utils.tensorboard import SummaryWriter
import torch.optim as optim
from... | Active-3D-Vision-and-Touch-main | pterotactyl/reconstruction/touch/train.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn as nn
import torch
import numpy as np
from torch.nn.parameter import Parameter
import torch.nn.functional as F
from... | Active-3D-Vision-and-Touch-main | pterotactyl/reconstruction/vision/model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import torch
import numpy as np
from tqdm import tqdm
import argparse
from torch.utils.tensorboard import SummaryWriter
import torch... | Active-3D-Vision-and-Touch-main | pterotactyl/reconstruction/vision/train.py |
Active-3D-Vision-and-Touch-main | pterotactyl/pretrained/__init__.py | |
Active-3D-Vision-and-Touch-main | pterotactyl/utility/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
from glob import glob
from tqdm import tqdm
import numpy as np
import torch
from torchvision import transforms
import ... | Active-3D-Vision-and-Touch-main | pterotactyl/utility/data_loaders.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import random
import os
from PIL import Image
import math
import json
import numpy as np
import torch
import torch.nn.functional as F
import ma... | Active-3D-Vision-and-Touch-main | pterotactyl/utility/utils.py |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import numpy as np
import trimesh
from scipy.spatial.transform import Rotatio... | Active-3D-Vision-and-Touch-main | pterotactyl/utility/pretty_render.py |
#Copyright (c) Facebook, Inc. and its affiliates.
#All rights reserved.
#This source code is licensed under the license found in the
#LICENSE file in the root directory of this source tree.
import os
import numpy as np
from tqdm import tqdm
from glob import glob
import random
from pathlib import Path
import torch
im... | Active-3D-Vision-and-Touch-main | pterotactyl/utility/data_making.py |
import nltk
import textstat
from nltk.tree import Tree
import benepar, spacy
import json
import numpy as np
nlp = spacy.load('en_core_web_md')
nlp.add_pipe(benepar.BeneparComponent("benepar_en3"))
import torch, transformers
tokenizer = transformers.AutoTokenizer.from_pretrained('../training/checkpoint-all-nli-100000')... | dadc-limit-main | analysis/complexity.py |
import nltk
import json
from tqdm import tqdm
import numpy as np
def compute_stats(contexts, hypotheses, labels):
high_overlap_rates_entailment = []
high_overlap_rates_contradiction = []
for context, hypothesis, label in tqdm(zip(contexts, hypotheses, labels)):
context_tokens = nltk.word_tokenize(c... | dadc-limit-main | analysis/artifacts.py |
import nltk
import json
import numpy as np
from sacrebleu.metrics import BLEU
from tqdm import tqdm
from collections import defaultdict
import random
def interbleu(hypotheses, labels):
bleu = BLEU()
avg_score = 0.0
total = 0.0
random.shuffle(hypotheses)
for hypothesis1_idx, hypothesis1 in tqdm(enum... | dadc-limit-main | analysis/diversity.py |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import argparse
import os
import numpy as np
import torch
from human_body_prior.body_model.body_model import BodyModel
from human_body_prior.tools.rotation_tools import aa2matrot, local2global_pose
from tqdm import tqdm
from utils import utils_transform
def m... | AGRoL-main | prepare_data.py |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import math
import os
import random
import numpy as np
import torch
from data_loaders.dataloader import load_data, TestDataset
from human_body_prior.body_model.body_model import BodyModel as BM
from model.networks import PureMLP
from tqdm import tqdm
from u... | AGRoL-main | test.py |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import json
import os
import random
import numpy as np
import torch
from data_loaders.dataloader import get_dataloader, load_data, TrainDataset
from model.networks import PureMLP
from runner.train_mlp import train_step
from runner.training_loop import TrainLoo... | AGRoL-main | train.py |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
# MIT License
# Copyright (c) 2022 Guy Tevet
#
# This code is based on https://github.com/GuyTevet/motion-diffusion-model
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import functools
import os
... | AGRoL-main | runner/training_loop.py |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import torch
def update_lr_multistep(
nb_iter, total_iter, max_lr, min_lr, optimizer, lr_anneal_steps
):
if nb_iter > lr_anneal_steps:
current_lr = min_lr
else:
current_lr = max_lr
for param_group in optimizer.param_groups:
... | AGRoL-main | runner/train_mlp.py |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
# Metric functions with same inputs
import numpy as np
import torch
def pred_jitter(
predicted_position,
predicted_angle,
predicted_root_angle,
gt_position,
gt_angle,
gt_root_angle,
upper_index,
lower_index,
fps,
):
pred... | AGRoL-main | utils/metrics.py |
import os
SMPL_DATA_PATH = "./body_models/smpl"
SMPL_KINTREE_PATH = os.path.join(SMPL_DATA_PATH, "kintree_table.pkl")
SMPL_MODEL_PATH = os.path.join(SMPL_DATA_PATH, "SMPL_NEUTRAL.pkl")
JOINT_REGRESSOR_TRAIN_EXTRA = os.path.join(SMPL_DATA_PATH, "J_regressor_extra.npy")
ROT_CONVENTION_TO_ROT_NUMBER = {
"legacy": ... | AGRoL-main | utils/config.py |
# MIT License
# Copyright (c) 2022 Guy Tevet
#
# This code is based on https://github.com/GuyTevet/motion-diffusion-model
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
from diffusion import gaussian_diffusion as gd
from diffusion.respace import space_timesteps, SpacedDiffusion
from model.meta_model import M... | AGRoL-main | utils/model_util.py |
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
# Check PYTORCH3D_LICENCE before use
import functools
from typing import Optional
import torch
import torch.nn.functional as F
"""
The transformation matrices returned from the functions in this file assume
the points on which the transformatio... | AGRoL-main | utils/rotation_conversions.py |
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