python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://ieeexplore.ieee.org/document/9625818)
"""Encoder m... | AudioDec-main | models/autoencoder/modules/encoder.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://ieeexplore.ieee.org/document/9625818)
"""Residual ... | AudioDec-main | models/autoencoder/modules/residual_unit.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
"""Projector modules."""
import torch
import inspect
from layers.conv_l... | AudioDec-main | models/autoencoder/modules/projector.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
# Referenc... | AudioDec-main | models/vocoder/UnivNet.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
# Referenc... | AudioDec-main | models/vocoder/HiFiGAN.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
# Referenc... | AudioDec-main | models/vocoder/modules/multi_fusion.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
# Referenc... | AudioDec-main | models/vocoder/modules/residual_block.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
# Referenc... | AudioDec-main | models/vocoder/modules/discriminator.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Traini... | AudioDec-main | trainer/vocoder.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Templa... | AudioDec-main | trainer/trainerGAN.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Traini... | AudioDec-main | trainer/autoencoder.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Traini... | AudioDec-main | trainer/denoise.py |
from .dataset import * # NOQA
from .collater import * # NOQA
from .utils import * # NOQA | AudioDec-main | dataloader/__init__.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""PyTorc... | AudioDec-main | dataloader/dataset.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Custom... | AudioDec-main | dataloader/collater.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
import os... | AudioDec-main | dataloader/utils.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 argparse
import inspect
import copy
import os
import ast
import yaml
import numpy as np
def convert_to_stringval(cfg_, squeeze=None,... | c3dpo_nrsfm-main | config.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 dataset.dataset_configs import STICKS
from tools.so3 import so3_exponential_map, rand_rot
from tools.functions import masked_kp_mean, \
... | c3dpo_nrsfm-main | 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 time
import copy
import json
import numpy as np
import torch
from dataset.dataset_zoo import dataset_zoo
from dataset.eval... | c3dpo_nrsfm-main | experiment.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
from dataset.dataset_zoo import dataset_zoo
from dataset.eval_zoo import eval_zoo
from experiment import init_model_from_dir
fr... | c3dpo_nrsfm-main | evaluate.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 PIL import Image
from dataset.dataset_configs import STICKS
from experiment import init_model_from_dir
from tool... | c3dpo_nrsfm-main | demo.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
def masked_kp_mean(kp_loc, kp_vis):
visibility_mass = torch.clamp(kp_vis.sum(1), 1e-4)
kp_mean = (kp_loc*kp_vis[:, Non... | c3dpo_nrsfm-main | tools/functions.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 PIL import Image
import tempfile
import numpy as np
import os
import matplotlib
import matplotlib.pyplot as plt
class VideoWriter:
... | c3dpo_nrsfm-main | tools/video_writer.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.
"""
def nested_attr_dict(dct):
if type(dct) in (dict, AttrDict):
dct = AttrDict(dct)
for k, v in dct.items():
dc... | c3dpo_nrsfm-main | tools/attr_dict.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 pickle
import torch
import glob
import os
import yaml
def load_stats(flstats):
try:
stats, _ = pickle.load(open(flstats,... | c3dpo_nrsfm-main | tools/model_io.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 torch._six import container_abcs, string_classes, int_classes
import re
import time
import sys
import torch
from tqdm import tqdm
from... | c3dpo_nrsfm-main | tools/cache_preds.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 math
import torch.nn.functional as Fu
def rand_rot(N, dtype=None, max_rot_angle=float(math.pi),
axes=(1, 1... | c3dpo_nrsfm-main | tools/so3.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 tools.attr_dict import AttrDict
import inspect
import time
import numpy as np
import hashlib
import torch
def pprint_dict(d, indent=3)... | c3dpo_nrsfm-main | tools/utils.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 time
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import colors as mcolors
from itertools impo... | c3dpo_nrsfm-main | tools/stats.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 io
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
from matplotlib import cm
from PIL impor... | c3dpo_nrsfm-main | tools/vis_utils.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 copy
from dataset.dataset_configs import IMAGE_ROOTS, DATASET_ROOT
from dataset.keypoints_dataset import KeypointsDataset
... | c3dpo_nrsfm-main | dataset/dataset_zoo.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 copy
import numpy as np
from tabulate import tabulate
from tqdm import tqdm
def eval_zoo(dataset_name, include_debug_vars=False):
... | c3dpo_nrsfm-main | dataset/eval_zoo.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 copy
import numpy as np
import torch
import pickle
from torch.utils import data
from tools.utils import NumpyS... | c3dpo_nrsfm-main | dataset/keypoints_dataset.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.
"""
EXP_ROOT = './data/exps/c3dpo/'
DATASET_ROOT = './data/datasets/c3dpo/'
DATASET_URL = {
'pascal3d_val': 'https://dl.fbaipublicf... | c3dpo_nrsfm-main | dataset/dataset_configs.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 matplotlib.pyplot as plt
import torch
import numpy as np
from tools.video_writer import VideoWriter
from tools.vis_utils imp... | c3dpo_nrsfm-main | visuals/rotating_shape_video.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
with open("README.md", "r") as fh:
long_description = fh.read()
def parse_requirements_file(pat... | active-mri-acquisition-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.
import nox
@nox.session()
def lint(session):
session.install("--upgrade", "setuptools", "pip")
session.install("-r", "requirements/de... | active-mri-acquisition-main | noxfile.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 . import data, envs, experimental
__all__ = ["data", "envs", "experimental"]
| active-mri-acquisition-main | activemri/__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.
from . import cvpr19_models
__all__ = ["cvpr19_models"]
| active-mri-acquisition-main | activemri/experimental/__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.
from . import data, models, options, util
__all__ = ["data", "models", "options", "util"]
| active-mri-acquisition-main | activemri/experimental/cvpr19_models/__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 ignite.engine
import logging
import os
import tempfile
import types
import torch
import torch.nn.functional as F
import torch.optim as ... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/trainer.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 . import base_options
class TrainOptions(base_options.BaseOptions):
def initialize(self, parser):
parser = base_options.Base... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/options/train_options.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 . import base_options, train_options # noqa:F401
| active-mri-acquisition-main | activemri/experimental/cvpr19_models/options/__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 argparse
import torch
class BaseOptions:
def __init__(self):
self.initialized = False
self.parser = None
def... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/options/base_options.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 . import common
__all__ = ["common"]
| active-mri-acquisition-main | activemri/experimental/cvpr19_models/util/__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 logging
import os
from typing import Dict, Optional
import matplotlib.pyplot as plt
import numpy as np
import skimage.measure
import to... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/util/common.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.
"""
cvpr19_models.models.reconstruction.py
======================================
MRI Reconstruction model as described in `Zhang, Zizhao, et a... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/models/reconstruction.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 . import evaluator, fft_utils, reconstruction # noqa: F401
| active-mri-acquisition-main | activemri/experimental/cvpr19_models/models/__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
import torch.nn.functional as F
def roll(x, shift, dim):
if isinstance(shift, (tuple, list)):
... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/models/fft_utils.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.
"""
cvpr19_models.models.evaluator.py
=================================
Active acquisition model as described in `Zhang, Zizhao, et al. "Reduci... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/models/evaluator.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 json
import os
import numpy as np
import torch
import torch.utils.data
import activemri.experimental.cvpr19_models.models.fft_utils as... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/data/dicom_data_loader.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 pathlib
import numpy as np
import torch
import torch.utils.data
from . import dicom_data_loader, masking_utils, raw_data_loa... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/data/base_data_loader.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 . import base_data_loader
def create_data_loaders(options, is_test=False):
if not is_test:
train_loader, valid_loader = bas... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/data/__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 logging
import numpy as np
import torch
def get_mask_func(mask_type, which_dataset, rnl_params=None):
# Whether the number of lin... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/data/masking_utils.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 pathlib
import h5py
import numpy as np
import torch
import torch.utils.data
def ifftshift(x, dim=None):
if dim is None:
d... | active-mri-acquisition-main | activemri/experimental/cvpr19_models/data/raw_data_loader.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 typing import Any, Dict, Optional
import fastmri.models
import torch
import activemri.models
# noinspection PyAbstractClass
class Unet... | active-mri-acquisition-main | activemri/models/fastmri_unet_wrapper.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 abc
from typing import Any, Dict, Optional
import torch.nn
class Reconstructor(torch.nn.Module):
def __init__(self, **kwargs):
... | active-mri-acquisition-main | activemri/models/__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.
from typing import Any, Dict
import torch
import activemri.experimental.cvpr19_models.models.reconstruction as cvpr19_reconstruction
import a... | active-mri-acquisition-main | activemri/models/cvpr19_reconstructor.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.
"""
activemri.baselines.ddqn.py
=======================================
Baseline implementation of Double DQN, as described in
*Van Hasselt, Ha... | active-mri-acquisition-main | activemri/baselines/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.
from typing import Any, Dict, List, Optional, Tuple
import numpy as np
import activemri.baselines as baselines
import activemri.envs as envs
... | active-mri-acquisition-main | activemri/baselines/evaluation.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 abc
from typing import Any, Dict, List
class Policy:
""" A basic policy interface. """
def __init__(self, *args, **kwargs):
... | active-mri-acquisition-main | activemri/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.
"""
activemri.baselines.simple_baselines.py
=======================================
Simple baselines for active MRI acquisition.
"""
from typin... | active-mri-acquisition-main | activemri/baselines/simple_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.
import os
import tempfile
from typing import Dict, Optional
import numpy as np
import torch
class ReplayMemory:
"""Replay memory of tran... | active-mri-acquisition-main | activemri/baselines/replay_buffer.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 typing import Any, Dict, List
import torch
import activemri.experimental.cvpr19_models.models.evaluator as cvpr19_evaluator
from . impo... | active-mri-acquisition-main | activemri/baselines/cvpr19_evaluator.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.
"""
activemri.envs.envs.py
====================================
Gym-like environment for active MRI acquisition.
"""
import functools
import js... | active-mri-acquisition-main | activemri/envs/envs.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 importlib
import json
import pathlib
from typing import Dict, Tuple
import numpy as np
import skimage.metrics
import torch
def get_u... | active-mri-acquisition-main | activemri/envs/util.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.
__all__ = [
"ActiveMRIEnv",
"MICCAI2020Env",
"FastMRIEnv",
"SingleCoilKneeEnv",
"MultiCoilKneeEnv",
]
from .envs import (
... | active-mri-acquisition-main | activemri/envs/__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.
"""
activemri.envs.masks.py
====================================
Utilities to generate and manipulate active acquisition masks.
"""
from typing... | active-mri-acquisition-main | activemri/envs/masks.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.
"""
activemri.data.transforms.py
====================================
Transform functions to process fastMRI data for reconstruction models.
""... | active-mri-acquisition-main | activemri/data/transforms.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 pathlib
from typing import Callable, List, Optional, Tuple
import fastmri
import h5py
import numpy as np
import torch.utils.data
# --... | active-mri-acquisition-main | activemri/data/singlecoil_knee_data.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 typing import Any, Dict, List
import numpy as np
import torch
from . import singlecoil_knee_data
from . import transforms
__all__ = ["s... | active-mri-acquisition-main | activemri/data/__init__.py |
active-mri-acquisition-main | tests/__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 functools
import numpy as np
import pytest # noqa: F401
import torch
import activemri.envs.envs as envs
import activemri.envs.util as... | active-mri-acquisition-main | tests/core/test_envs.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 pytest # noqa: F401
import torch
import activemri.envs.masks as masks
def test_update_masks_from_indices():
m... | active-mri-acquisition-main | tests/core/test_masks.py |
active-mri-acquisition-main | tests/core/__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 pytest # noqa: F401
import torch
import activemri.baselines as baselines
def test_random():
policy = baselines.RandomPolicy()
... | active-mri-acquisition-main | tests/core/test_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.
import json
from typing import Dict
import numpy as np
import torch
import activemri.envs.envs as envs
cfg_json_str = """
{
"data_locati... | active-mri-acquisition-main | tests/core/mocks.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 json
import os
import pytest # noqa: F401
import activemri.envs.util
def test_all_configs():
configs_root = "configs/"
for ... | active-mri-acquisition-main | tests/fastmri/test_configs.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 pytest # noqa: F401
import activemri.envs.envs as envs
class TestMICCAIEnv:
env = envs.MICCAI2020Env()
d... | active-mri-acquisition-main | tests/fastmri/test_envs.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.
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# lis... | active-mri-acquisition-main | docs/conf.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 argparse
import os
import pickle
from typing import cast
import numpy as np
import torch
import activemri.baselines as baselines
impo... | active-mri-acquisition-main | examples/run_evaluation.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 argparse
import activemri.baselines.ddqn as ddqn
import activemri.envs as envs
if __name__ == "__main__":
parser = argparse.Argume... | active-mri-acquisition-main | examples/test_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 argparse
import torch
import activemri.baselines as mri_baselines
import activemri.envs as envs
if __name__ == "__main__":
parser... | active-mri-acquisition-main | examples/train_ddqn.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
This is the main script used for training Classy Vision jobs.
This can be used for training on your local machin... | ClassyVision-main | classy_train.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and 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 re
import sys
from setuptools import find_namespace_packages, find_packages, setup
if __name__ =... | ClassyVision-main | setup.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import functools
import torch
from classy_vision.hub import ClassyHubInterface
dependencies = ["torch", "torchvisi... | ClassyVision-main | hubconf.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from classy_vision.generic.util import convert_to_one_hot
class TestUtils(unittest.Te... | ClassyVision-main | test/losses_generic_utils_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and 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 unittest
import torch
from classy_vision.models import ClassyBlock
class TestClassyStatelessBlock... | ClassyVision-main | test/models_classy_block_stateless_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from classy_vision.models import build_model, EfficientNet
class TestEfficientNetMode... | ClassyVision-main | test/models_efficientnet_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import torch
import torch.nn as nn
from classy_vision.hooks import ClassyHook
from classy_vision.hooks.p... | ClassyVision-main | test/hooks_precise_batch_norm_hook_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and 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
from classy_vision import meters
from classy_vision.meters import RecallAtKMeter
from test.generic.meter... | ClassyVision-main | test/meters_recall_meter_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import unittest.mock as mock
from classy_vision.hooks import ProfilerHook
from test.generic.config_u... | ClassyVision-main | test/hooks_profiler_hook_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import tempfile
import unittest
from itertools import product
from typing import Any, Dict, List
import torch
from c... | ClassyVision-main | test/generic_distributed_util_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import unittest
import torch
from classy_vision.losses import BarronLoss, build_loss
class TestBarronL... | ClassyVision-main | test/losses_barron_loss_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import unittest
from classy_vision.optim.param_scheduler import build_param_scheduler
from classy_vision... | ClassyVision-main | test/optim_param_scheduler_composite_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import unittest
from classy_vision.hooks import build_hook, build_hooks, ClassyHook, register_hook
@re... | ClassyVision-main | test/hooks_classy_hook_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import unittest
import torch
from classy_vision.losses import build_loss, LabelSmoothingCrossEntropyLoss... | ClassyVision-main | test/losses_label_smoothing_cross_entropy_loss_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from classy_vision.optim.rmsprop_tf import RMSPropTF
from test.generic.optim_test_util import TestOp... | ClassyVision-main | test/optim_rmsprop_tf_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and 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
from classy_vision import meters
from classy_vision.meters import VideoAccuracyMeter
from test.generic.m... | ClassyVision-main | test/meters_video_accuracy_meter_test.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from unittest.mock import Mock
from classy_vision.dataset import build_dataset
from classy_vision.ho... | ClassyVision-main | test/optim_param_scheduler_test.py |
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