repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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gluon-cv | gluon-cv-master/gluoncv/torch/data/transforms/transforms.py | """Code adapted from https://github.com/open-mmlab/mmaction
and https://github.com/bryanyzhu/two-stream-pytorch"""
import random
from PIL import Image, ImageOps
import numpy as np
import numbers
import math
import cv2
import collections
import PIL
class Transform:
def __call__(self, data):
raise NotImpl... | 27,452 | 31.412043 | 137 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/transforms/videotransforms/stack_transforms.py | import numpy as np
import PIL
import torch
from .utils import images as imageutils
class ToStackedTensor(object):
"""Converts a list of m (H x W x C) numpy.ndarrays in the range [0, 255]
or PIL Images to a torch.FloatTensor of shape (m*C x H x W)
in the range [0, 1.0]
"""
def __init__(self, cha... | 1,683 | 32.019608 | 80 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/transforms/videotransforms/volume_transforms.py | import numpy as np
from PIL import Image
import torch
from .utils import images as imageutils
class ClipToTensor(object):
"""Convert a list of m (H x W x C) numpy.ndarrays in the range [0, 255]
to a torch.FloatTensor of shape (C x m x H x W) in the range [0, 1.0]
"""
def __init__(self, channel_nb=3... | 4,094 | 31.76 | 81 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/transforms/videotransforms/functional.py | import numbers
import cv2
import numpy as np
import PIL
import torch
def _is_tensor_clip(clip):
return torch.is_tensor(clip) and clip.ndimension() == 4
def crop_clip(clip, min_h, min_w, h, w):
if isinstance(clip[0], np.ndarray):
cropped = [img[min_h:min_h + h, min_w:min_w + w, :] for img in clip]
... | 2,916 | 31.054945 | 76 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/transforms/videotransforms/video_transforms.py | import numbers
import random
import numpy as np
import PIL
import torch
import torchvision
from . import functional as F
class Compose(object):
"""Composes several transforms
Args:
transforms (list of ``Transform`` objects): list of transforms
to compose
"""
def __init__(self, transforms):... | 13,308 | 31.303398 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/transforms/instance_transforms/transform.py | # adapted from https://github.com/facebookresearch/detectron2/blob/master/detectron2/data/transforms/transform.py
import inspect
import pprint
import sys
from abc import ABCMeta, abstractmethod
from typing import Any, Callable, List, Optional, TypeVar
import numpy as np
from PIL import Image
import torch
import torch... | 38,605 | 34.032668 | 113 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/transforms/instance_transforms/transform_utils.py | # adapted from https://github.com/facebookresearch/fvcore/blob/master/fvcore/transforms/transform_util.py
import numpy as np
import torch
def to_float_tensor(numpy_array: np.ndarray) -> torch.Tensor:
"""
Convert the numpy array to torch float tensor with dimension of NxCxHxW.
Pytorch is not fully supporti... | 3,315 | 38.47619 | 105 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/detection/detection_dataset.py | # adapted from https://github.com/facebookresearch/detectron2/blob/master/detectron2/data/build.py
# pylint: disable=bad-continuation,bad-whitespace,pointless-string-statement,redefined-outer-name,wrong-import-order
import itertools
import random
import logging
import operator
import dill
import pickle
from pprint impo... | 27,935 | 38.401975 | 126 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/detection/detection_utils.py | # adapted from https://github.com/facebookresearch/detectron2/blob/master/detectron2/data/detection_utils.py
"""
Common data processing utilities that are used in a
typical object detection data pipeline.
"""
# pylint: disable=pointless-string-statement
import os
import logging
import numpy as np
from PIL import Image
... | 27,151 | 34.726316 | 108 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/detection/samplers/grouped_batch_sampler.py | # adapted from https://github.com/facebookresearch/detectron2/blob/master/detectron2/data/samplers/grouped_batch_sampler.py
import numpy as np
from torch.utils.data.sampler import BatchSampler, Sampler
class GroupedBatchSampler(BatchSampler):
"""
Wraps another sampler to yield a mini-batch of indices.
It ... | 2,017 | 41.041667 | 123 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/detection/samplers/distributed_sampler.py | # adapted from https://github.com/facebookresearch/detectron2/blob/master/detectron2/data/samplers/distributed_sampler.py
import itertools
import math
from collections import defaultdict
from typing import Optional
import torch
from torch.utils.data.sampler import Sampler
from ....utils import comm
class TrainingSam... | 8,186 | 39.731343 | 121 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/coot/dataloader.py | import json
from collections import OrderedDict
from pathlib import Path
from typing import List
import re
import numpy as np
import torch
import torch.utils.data as data
from tqdm import tqdm
from gluoncv.torch.utils import coot_utils
def load_h5file(h5_path):
import h5py
return h5py.File(h5_path, "r")
cl... | 15,768 | 39.227041 | 112 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/structures/image_list.py | # adapted from https://github.com/facebookresearch/detectron2/blob/master/detectron2/structures/image_list.py
from __future__ import division
from typing import Any, List, Sequence, Tuple, Union
import torch
from torch.nn import functional as F
class ImageList(object):
"""
Structure that holds a list of image... | 4,727 | 41.214286 | 109 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/structures/beziers.py | from typing import Union
import torch
class Beziers:
"""
This structure stores a list of bezier curves as a Nx16 torch.Tensor.
It will support some common methods about bezier shapes
(`area`, `clip`, `nonempty`, etc),
and also behaves like a Tensor
(support indexing, `to(device)`, `.device`, an... | 1,685 | 37.318182 | 96 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/structures/instances.py | import itertools
from typing import Any, Dict, List, Tuple, Union
import torch
class Instances:
"""
This class represents a list of instances in an image.
It stores the attributes of instances (e.g., boxes, masks, labels, scores) as "fields".
All fields must have the same ``__len__`` which is the numb... | 6,287 | 32.625668 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/structures/masks.py | # adapted from https://github.com/facebookresearch/detectron2/blob/master/detectron2/structures/masks.py
# pylint: disable=unused-argument
import copy
import itertools
from typing import Any, Iterator, List, Union
import numpy as np
import torch
import torchvision
from .boxes import Boxes
def polygon_area(x, y):
... | 16,010 | 37.030879 | 128 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/structures/keypoints.py | # adapted from https://github.com/facebookresearch/detectron2/blob/master/detectron2/structures/keypoints.py
from typing import Any, List, Tuple, Union
import numpy as np
import torch
class Keypoints:
"""
Stores keypoint **annotation** data. GT Instances have a `gt_keypoints` property
containing the x,y l... | 9,942 | 37.992157 | 108 | py |
gluon-cv | gluon-cv-master/gluoncv/torch/data/structures/boxes.py | import math
from enum import IntEnum, unique
from typing import Any, List, Tuple, Union
import numpy as np
import torch
_RawBoxType = Union[List[float], Tuple[float, ...], torch.Tensor, np.ndarray]
@unique
class BoxMode(IntEnum):
"""
Enum of different ways to represent a box.
"""
XYXY_ABS = 0
""... | 13,024 | 33.186352 | 102 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/utils.py | """Utils for deep learning framework related functions"""
import numpy as np
__all__ = ['EarlyStopperOnPlateau', '_suggest_load_context', 'create_dummy_estimator']
def _dummy_constructor(self, *arg, **kwargs):
raise RuntimeError(self.reason.format(type(self).__name__))
def create_dummy_estimator(name, reason):
... | 5,706 | 35.350318 | 115 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/base_estimator.py | """Base Estimator"""
# pylint: disable=bare-except
import os
import math
import pickle
import io
import logging
from datetime import datetime
import numpy as np
import pandas as pd
from ...utils import random as _random
from ...utils.filesystem import temporary_filename
from .utils import _suggest_load_context
logging... | 15,067 | 34.790974 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/__init__.py | """Estimator implementations"""
from .utils import create_dummy_estimator
# FIXME: for quick test purpose only
try:
import mxnet
from .image_classification import ImageClassificationEstimator
from .ssd import SSDEstimator
from .yolo import YOLOv3Estimator
from .faster_rcnn import FasterRCNNEstimator... | 1,352 | 38.794118 | 90 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/ssd/ssd.py | """SSD Estimator."""
# pylint: disable=logging-format-interpolation,abstract-method,arguments-differ,logging-not-lazy
import os
import math
import time
import warnings
from PIL import Image
import pandas as pd
import numpy as np
import mxnet as mx
from mxnet import nd
from mxnet import gluon
from mxnet import autograd... | 23,046 | 50.559284 | 125 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/ssd/utils.py | """Utils for auto SSD estimator"""
import os
import mxnet as mx
from mxnet import gluon
from mxnet import autograd
from ....data.batchify import Tuple, Stack, Pad
from ....data.transforms.presets.ssd import SSDDefaultTrainTransform
from ....data.transforms.presets.ssd import SSDDefaultValTransform
from ....data.tran... | 8,263 | 49.699387 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/ssd/default.py | """SSD default config"""
# pylint: disable=unused-variable,missing-function-docstring,bad-whitespace,missing-class-docstring
from typing import Union, Tuple
from autocfg import dataclass, field
@dataclass
class SSD:
# Base network name which serves as feature extraction base.
base_network : str = 'vgg16_atrou... | 4,012 | 38.343137 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/center_net/center_net.py | """CenterNet Estimator"""
# pylint: disable=unused-variable,missing-function-docstring,abstract-method,logging-format-interpolation,arguments-differ,logging-not-lazy
import os
import math
import time
import warnings
from collections import OrderedDict
from PIL import Image
import pandas as pd
import numpy as np
import... | 19,828 | 51.181579 | 139 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/center_net/default.py | """Default configs for center net"""
# pylint: disable=bad-whitespace,missing-class-docstring,bad-indentation
import os
from typing import Union, Tuple
from autocfg import dataclass, field
@dataclass
class CenterNetHead:
bias : float = -2.19 # use bias = -log((1 - 0.1) / 0.1)
wh_outputs : int = 2 ... | 3,262 | 47.701493 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/faster_rcnn/faster_rcnn.py | """Faster RCNN Estimator."""
# pylint: disable=logging-not-lazy,abstract-method,unused-variable,logging-format-interpolation,arguments-differ
import os
import math
import time
import warnings
from PIL import Image
import pandas as pd
import numpy as np
import mxnet as mx
from mxnet import gluon
from ....data.batchify... | 27,394 | 51.682692 | 117 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/faster_rcnn/utils.py | """Utils for Faster RCNN estimator"""
import os
from mxnet import gluon
from ....data.batchify import FasterRCNNTrainBatchify, Tuple, Append
from ....data.sampler import SplitSortedBucketSampler
from ....data.transforms.presets.rcnn import FasterRCNNDefaultValTransform
from .... import data as gdata
from ....utils.me... | 6,684 | 48.154412 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/faster_rcnn/default.py | """Faster RCNN default config"""
# pylint: disable=unused-variable,missing-function-docstring,bad-whitespace,missing-class-docstring
from typing import Union, Tuple, Any
from autocfg import dataclass, field
@dataclass
class FasterRCNN:
# Base network name which serves as feature extraction base.
base_network :... | 8,593 | 39.729858 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/mask_rcnn/mask_rcnn.py | """Mask RCNN Estimator."""
# pylint: disable=consider-using-enumerate,abstract-method,arguments-differ
import os
import math
import time
import logging
from multiprocessing import Process
import numpy as np
import mxnet as mx
from mxnet import gluon
from mxnet.contrib import amp
from .... import data as gdata
from ..... | 22,230 | 50.105747 | 120 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/mask_rcnn/utils.py | """Utils for auto Mask-RCNN estimator"""
# pylint: disable=consider-using-enumerate
import os
import logging
import mxnet as mx
from mxnet import gluon
from .... import data as gdata
from ....data import batchify
from ....data.sampler import SplitSortedBucketSampler
from ....utils.metrics.coco_instance import COCOIns... | 4,942 | 39.85124 | 109 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/torch_image_classification/torch_image_classification.py | """Torch Classification Estimator"""
# pylint: disable=unused-variable,bad-whitespace,missing-function-docstring,logging-format-interpolation,arguments-differ,logging-not-lazy, not-callable
import math
import copy
import os
import logging
import time
import warnings
import pickle
from contextlib import suppress
from PI... | 42,867 | 45.444204 | 154 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/torch_image_classification/__init__.py | """Torch image classification estimator"""
from .torch_image_classification import TorchImageClassificationEstimator
| 117 | 38.333333 | 73 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/torch_image_classification/default.py | """Default configs for torch image classification"""
# pylint: disable=bad-whitespace,missing-class-docstring
from typing import Union, Tuple
from autocfg import dataclass, field
@dataclass
class ImageClassification:
model: str = 'resnet101'
pretrained: bool = True
global_pool_type: Union[str, None] = None... | 6,765 | 57.327586 | 152 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/torch_image_classification/utils/model.py | from collections import OrderedDict
import os
import torch
# FIXME: shouldn't need this anymore
def resume_checkpoint(model, checkpoint_path, optimizer=None, loss_scaler=None, logger=None, log_info=False):
resume_epoch = None
if os.path.isfile(checkpoint_path):
checkpoint = torch.load(checkpoint_path,... | 2,011 | 43.711111 | 109 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/torch_image_classification/utils/metrics.py | import torch
from torch.nn.functional import softmax
def rmse(outputs, target):
return torch.sqrt(torch.mean((softmax(outputs, dim=0)-target)**2))
| 152 | 24.5 | 70 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/torch_image_classification/utils/optimizer.py | # pylint: disable=wildcard-import
from timm.optim.optim_factory import *
_TIMM_FC_NAMES = ('fc', 'head', 'last_linear', 'classifier')
def optimizer_kwargs(cfg):
kwargs = dict(
opt=cfg.optimizer.opt,
lr=cfg.train.lr,
weight_decay=cfg.optimizer.weight_decay,
momentum=cfg.optimizer.mo... | 7,670 | 43.086207 | 131 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/image_classification/utils.py | """Utils for auto classification estimator"""
# pylint: disable=bad-whitespace,missing-function-docstring
import os
import math
import mxnet as mx
from mxnet import nd
from mxnet import gluon
from mxnet.gluon.data.vision import transforms
from ....data import imagenet
def rec_batch_fn(batch, ctx):
data = gluon.ut... | 5,303 | 38 | 117 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/image_classification/image_classification.py | """Classification Estimator"""
# pylint: disable=unused-variable,bad-whitespace,missing-function-docstring,logging-format-interpolation,arguments-differ,logging-not-lazy
import time
import os
import math
import copy
from PIL import Image
import pandas as pd
import numpy as np
import mxnet as mx
from mxnet import gluon... | 32,458 | 49.16847 | 138 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/image_classification/default.py | """Default configs for image classification"""
# pylint: disable=bad-whitespace,missing-class-docstring
from typing import Union, Tuple
from autocfg import dataclass, field
@dataclass
class ImageClassification:
model : str = 'resnet50_v1'
use_pretrained : bool = True
use_gn : bool = False
batch_norm :... | 2,953 | 39.465753 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/yolo/yolo.py | """YOLO Estimator."""
# pylint: disable=logging-format-interpolation,abstract-method,arguments-differ,logging-not-lazy
import os
import math
import time
import warnings
from PIL import Image
import pandas as pd
import numpy as np
import mxnet as mx
from mxnet import gluon
from mxnet import autograd
from mxnet.contrib ... | 23,098 | 50.331111 | 120 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/yolo/utils.py | """Utils for auto YOLO estimator"""
import os
from mxnet import gluon
from ....data import MixupDetection
from ....data.batchify import Tuple, Stack, Pad
from ....data.dataloader import RandomTransformDataLoader
from ....data.transforms.presets.yolo import YOLO3DefaultTrainTransform
from ....data.transforms.presets.y... | 4,519 | 55.5 | 120 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/estimators/yolo/default.py | """YOLO default config"""
# pylint: disable=unused-variable,missing-function-docstring,bad-whitespace,missing-class-docstring
from typing import Union, Tuple
from autocfg import dataclass, field
@dataclass
class YOLOv3:
# Base network name which serves as feature extraction base.
base_network : str = 'darknet... | 4,872 | 38.617886 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/data/dataset.py | """Dataset implementation for specific task(s)"""
# pylint: disable=consider-using-generator
import logging
import os
from pathlib import Path
import warnings
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from PIL import Image
import cv2
from ..data import is_url, url_data
from ...utils.filesys... | 35,467 | 39.442417 | 122 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/data/data_zoo.py | """Registry of most widely used datasets"""
import os
import shutil
import tarfile
import zipfile
from ...data import VOCDetection, COCODetection
from ...utils import download as _download, makedirs
__all__ = ['get_dataset', 'list_dataset']
_DATASETS = {}
def list_dataset():
"""List available dataset registered... | 4,043 | 37.884615 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/tasks/object_detection.py | """Auto pipeline for object detection task"""
# pylint: disable=bad-whitespace,missing-class-docstring,bare-except
import time
import os
import math
import copy
import logging
import pprint
import json
import pickle
from typing import Union, Tuple
import uuid
import shutil
import numpy as np
import pandas as pd
from a... | 18,429 | 43.624697 | 120 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/tasks/utils.py | """Utils for auto tasks"""
import copy
import warnings
import numpy as np
import autogluon.core as ag
from ..estimators.base_estimator import BaseEstimator
from ..estimators import SSDEstimator, FasterRCNNEstimator, YOLOv3Estimator, CenterNetEstimator
from ..estimators import ImageClassificationEstimator
from ..data.... | 17,764 | 38.654018 | 118 | py |
gluon-cv | gluon-cv-master/gluoncv/auto/tasks/image_classification.py | """Auto pipeline for image classification task"""
# pylint: disable=bad-whitespace,missing-class-docstring,bare-except
import time
import os
import math
import copy
import logging
import pprint
import json
import pickle
from typing import Union, Tuple
import uuid
import shutil
import numpy as np
import pandas as pd
fr... | 20,499 | 43.181034 | 126 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/lr_scheduler.py | """Popular Learning Rate Schedulers"""
# pylint: disable=missing-docstring
from __future__ import division
import warnings
from math import pi, cos
from mxnet import lr_scheduler
class LRSequential(lr_scheduler.LRScheduler):
r"""Compose Learning Rate Schedulers
Parameters
----------
schedulers: list... | 4,718 | 30.885135 | 90 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/export_helper.py | """Helper utils for export HybridBlock to symbols."""
from __future__ import absolute_import
import copy
import mxnet as mx
from mxnet.base import MXNetError
from mxnet.gluon import HybridBlock
from mxnet.gluon import nn
class _DefaultPreprocess(HybridBlock):
"""Default preprocess block used by GluonCV.
The ... | 12,889 | 40.580645 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/block.py | """Utility functions for gluon parameters."""
import re
import numpy as np
def recursive_visit(net, callback, **kwargs):
"""Recursively visit and apply callback to a net and its sub-net
Parameters
----------
net : mxnet.gluon.Block
The network to recursively visit
callback : function
... | 3,565 | 33.960784 | 84 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/random.py | """Random wrapper."""
from __future__ import absolute_import
import random as pyrandom
import numpy as np
try:
import mxnet as mx
except ImportError:
mx = None
def seed(a=None):
"""Seed the generator for python builtin random, numpy.random, mxnet.random.
This method is to control random state for mxn... | 846 | 26.322581 | 83 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/sync_loader_helper.py | """Dataloader helper functions. Synchronize slices for both data and label."""
__all__ = ['split_data', 'split_and_load']
from mxnet import ndarray
def split_data(data, num_slice, batch_axis=0, even_split=True, multiplier=1):
"""Splits an NDArray into `num_slice` slices along `batch_axis`.
Usually used for da... | 3,213 | 35.522727 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/__init__.py | """GluonCV Utility functions."""
# pylint: disable=wildcard-import,exec-used,wrong-import-position
from __future__ import absolute_import
import types
def import_dummy_module(code, name):
# create blank module
module = types.ModuleType(name)
# populate the module with code
exec(code, module.__dict__)
... | 1,399 | 30.111111 | 93 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/parallel.py | """Utils for Semantic Segmentation"""
# pylint: disable=consider-using-enumerate,redefined-builtin,broad-except
import threading
from mxnet import autograd
from mxnet.gluon.utils import split_and_load
from mxnet.ndarray import NDArray
try:
import Queue as queue
except ImportError:
import queue
__all__ = ['Da... | 13,111 | 32.881137 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/viz/image.py | """Visualize image."""
import numpy as np
try:
import mxnet as mx
except ImportError:
mx = None
def plot_image(img, ax=None, reverse_rgb=False):
"""Visualize image.
Parameters
----------
img : numpy.ndarray or mxnet.nd.NDArray
Image with shape `H, W, 3`.
ax : matplotlib axes, optio... | 4,059 | 31.222222 | 83 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/viz/network.py | """Visualize network structure"""
import tempfile
try:
import graphviz
except ImportError:
graphviz = None
import mxnet as mx
from mxnet import gluon
def plot_network(block, shape=(1, 3, 224, 224), save_prefix=None):
"""Plot network to visualize internal structures.
Parameters
----------
block... | 1,984 | 31.016129 | 83 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/viz/segmentation.py | """Segmentation Utils"""
from PIL import Image
import mxnet as mx
from mxnet.gluon import HybridBlock
__all__ = ['get_color_pallete', 'DeNormalize']
def get_color_pallete(npimg, dataset='pascal_voc'):
"""Visualize image.
Parameters
----------
npimg : numpy.ndarray
Single channel image with sh... | 5,094 | 32.084416 | 96 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/viz/bbox.py | """Bounding box visualization functions."""
from __future__ import absolute_import, division
import random
try:
import mxnet as mx
except ImportError:
mx = None
from .image import plot_image
def plot_bbox(img, bboxes, scores=None, labels=None, thresh=0.5,
class_names=None, colors=None, ax=None,
... | 8,803 | 39.948837 | 89 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/viz/keypoints.py | """Bounding box visualization functions."""
from __future__ import absolute_import, division
import numpy as np
import mxnet as mx
from . import plot_bbox, cv_plot_bbox
def plot_keypoints(img, coords, confidence, class_ids, bboxes, scores,
box_thresh=0.5, keypoint_thresh=0.2, **kwargs):
"""Vis... | 5,582 | 37.770833 | 89 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/viz/mask.py | """Bounding box visualization functions."""
from __future__ import absolute_import, division
import numpy as np
import mxnet as mx
def expand_mask(masks, bboxes, im_shape, scores=None, thresh=0.5, scale=1.0, sortby=None):
"""Expand instance segmentation mask to full image size.
Parameters
----------
... | 4,742 | 33.122302 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/metrics/heatmap_accuracy.py | """Accuracy metric for heatmap prediction."""
# pylint: disable=assignment-from-no-return
import numpy as np
try:
from mxnet.metric import EvalMetric, check_label_shapes
except ImportError:
from mxnet.gluon.metric import EvalMetric, check_label_shapes
class HeatmapAccuracy(EvalMetric):
"""Computes heatmap... | 4,058 | 35.567568 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/metrics/coco_instance.py | """MS COCO Instance Segmentation Evaluate Metrics."""
from __future__ import absolute_import
import io
import sys
import warnings
from os import path as osp
import numpy as np
import mxnet as mx
try:
from mxnet.metric import EvalMetric
except ImportError:
from mxnet.gluon.metric import EvalMetric
class COC... | 10,813 | 42.256 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/metrics/rcnn.py | """RCNN framewark Training Metrics."""
import mxnet as mx
try:
from mxnet.metric import EvalMetric
except ImportError:
from mxnet.gluon.metric import EvalMetric
class RPNAccMetric(EvalMetric):
""" RPN accuracy. """
def __init__(self):
super(RPNAccMetric, self).__init__('RPNAcc')
def upd... | 4,686 | 29.435065 | 91 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/metrics/segmentation.py | """Evaluation Metrics for Semantic Segmentation"""
import threading
import numpy as np
import mxnet as mx
try:
from mxnet.metric import EvalMetric
except ImportError:
from mxnet.gluon.metric import EvalMetric
__all__ = ['SegmentationMetric', 'batch_pix_accuracy', 'batch_intersection_union',
'pixelAc... | 5,739 | 36.763158 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/metrics/coco_keypoints.py | """MS COCO Key Points Evaluate Metrics."""
from __future__ import absolute_import
import os
from os import path as osp
from collections import OrderedDict
import warnings
try:
from mxnet.metric import EvalMetric
except ImportError:
from mxnet.gluon.metric import EvalMetric
class COCOKeyPointsMetric(EvalMetric... | 5,059 | 35.142857 | 96 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/metrics/accuracy.py | """Accuracy metirc with ignored labels."""
# pylint: disable=assignment-from-no-return
import numpy as np
from mxnet import ndarray
try:
from mxnet.metric import EvalMetric, check_label_shapes
except ImportError:
from mxnet.gluon.metric import EvalMetric, check_label_shapes
class Accuracy(EvalMetric):
"""... | 2,872 | 38.902778 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/metrics/coco_detection.py | """MS COCO Detection Evaluate Metrics."""
from __future__ import absolute_import
import sys
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import os
from os import path as osp
import warnings
import numpy as np
import mxnet as mx
try:
from mxnet.metric import EvalMetric
exce... | 10,022 | 41.113445 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/utils/metrics/voc_detection.py | """Pascal VOC Detection evaluation."""
from __future__ import division
from collections import defaultdict
import numpy as np
import mxnet as mx
from ..bbox import bbox_iou
try:
from mxnet.metric import EvalMetric
except ImportError:
from mxnet.gluon.metric import EvalMetric
class VOCMApMetric(EvalMetric):
... | 10,722 | 34.983221 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/data/base.py | """Base dataset methods."""
import os
from mxnet.gluon.data import dataset
# pylint: disable= arguments-differ,unused-argument,missing-docstring,abstract-method
class ClassProperty(object):
"""Readonly @ClassProperty descriptor for internal usage."""
def __init__(self, fget):
self.fget = fget
def... | 2,062 | 28.471429 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/data/batchify.py | """Batchify functions.
They can be used in Gluon data loader to help combine individual samples
into batches for fast processing."""
import logging
import numpy as np
import mxnet as mx
__all__ = ['Stack', 'Pad', 'Append', 'Tuple', 'FasterRCNNTrainBatchify']
def _pad_arrs_to_max_length(arrs, pad_axis, pad_val, num... | 19,033 | 37.452525 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/data/sampler.py | # pylint: disable=line-too-long,too-many-lines,missing-docstring
import random
import numpy as np
from mxnet import gluon
__all__ = ['SplitSampler', 'ShuffleSplitSampler', 'SplitSortedBucketSampler']
class SplitSampler(gluon.data.sampler.Sampler):
""" Split the dataset into `num_parts` parts and sample from the... | 6,584 | 38.668675 | 103 | py |
gluon-cv | gluon-cv-master/gluoncv/data/dataloader.py | """DataLoader utils."""
import io
import pickle
import multiprocessing
from multiprocessing.reduction import ForkingPickler
import numpy as np
from mxnet import nd
from mxnet import context
from mxnet.gluon.data.dataloader import DataLoader, _MultiWorkerIter
from mxnet.gluon.data.dataloader import default_mp_batchify_f... | 14,612 | 47.069079 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/data/cityscapes.py | ###########################################################################
# Created by: Hang Zhang
# Email: zhang.hang@rutgers.edu
# Copyright (c) 2017
###########################################################################
"""Cityscapes Dataloader"""
import os
import numpy as np
from PIL import Image
import mx... | 5,307 | 42.154472 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/data/segbase.py | """Base segmentation dataset"""
import random
import numpy as np
from PIL import Image, ImageOps, ImageFilter
import mxnet as mx
from mxnet import cpu
import mxnet.ndarray as F
from .base import VisionDataset
__all__ = ['ms_batchify_fn', 'SegmentationDataset']
class SegmentationDataset(VisionDataset):
"""Segmenta... | 3,777 | 33.981481 | 84 | py |
gluon-cv | gluon-cv-master/gluoncv/data/mhp.py | """Multi-Human-Parsing V1 Dataset."""
import os
import numpy as np
from PIL import Image
from PIL import ImageFile
import mxnet as mx
from .segbase import SegmentationDataset
ImageFile.LOAD_TRUNCATED_IMAGES = True
class MHPV1Segmentation(SegmentationDataset):
"""Multi-Human-Parsing V1 Dataset.
Parameters
... | 6,246 | 32.228723 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/data/recordio/detection.py | """Detection dataset from RecordIO files."""
from __future__ import absolute_import
from __future__ import division
import numpy as np
from mxnet import gluon
def _transform_label(label, height=None, width=None):
label = np.array(label).ravel()
header_len = int(label[0]) # label header
label_width = int(l... | 2,983 | 37.753247 | 91 | py |
gluon-cv | gluon-cv-master/gluoncv/data/pascal_aug/segmentation.py | """Pascal Augmented VOC Semantic Segmentation Dataset."""
import os
import scipy.io
from PIL import Image
from ..segbase import SegmentationDataset
class VOCAugSegmentation(SegmentationDataset):
"""Pascal VOC Augmented Semantic Segmentation Dataset.
Parameters
----------
root : string
Path to ... | 3,649 | 37.020833 | 92 | py |
gluon-cv | gluon-cv-master/gluoncv/data/hmdb51/classification.py | # pylint: disable=line-too-long,too-many-lines,missing-docstring
"""HMDB51 action classification dataset.
http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/.
Code adapted from https://github.com/open-mmlab/mmaction and
https://github.com/bryanyzhu/two-stream-pytorch"""
import os
from ..video_c... | 6,615 | 52.354839 | 134 | py |
gluon-cv | gluon-cv-master/gluoncv/data/video_custom/classification.py | # pylint: disable=line-too-long,too-many-lines,missing-docstring
"""Customized dataloader for general video classification tasks.
Code adapted from https://github.com/open-mmlab/mmaction
and https://github.com/bryanyzhu/two-stream-pytorch"""
import os
import numpy as np
from mxnet import nd
from mxnet.gluon.data import... | 20,947 | 46.71754 | 164 | py |
gluon-cv | gluon-cv-master/gluoncv/data/otb/tracking.py | """Visual Tracker Benchmark.
Code adapted from https://github.com/STVIR/pysot"""
import json
import os
from glob import glob
from tqdm import tqdm
from mxnet.gluon.data import dataset
from gluoncv.utils.filesystem import try_import_cv2
class Video(object):
"""
Abstract video class. get video class information... | 7,480 | 33.004545 | 85 | py |
gluon-cv | gluon-cv-master/gluoncv/data/ade20k/segmentation.py | """Pascal ADE20K Semantic Segmentation Dataset."""
import os
from PIL import Image
import numpy as np
import mxnet as mx
from ..segbase import SegmentationDataset
class ADE20KSegmentation(SegmentationDataset):
"""ADE20K Semantic Segmentation Dataset.
Parameters
----------
root : string
Path to... | 8,318 | 48.224852 | 92 | py |
gluon-cv | gluon-cv-master/gluoncv/data/market1501/data_read.py | """Market 1501 Person Re-Identification Dataset."""
from mxnet.gluon.data import dataset
from mxnet import image
__all__ = ['ImageTxtDataset']
class ImageTxtDataset(dataset.Dataset):
"""Load the Market 1501 dataset.
Parameters
----------
items : list
List for image names and labels.
flag... | 959 | 26.428571 | 65 | py |
gluon-cv | gluon-cv-master/gluoncv/data/market1501/label_read.py | """Market 1501 Person Re-Identification Dataset."""
import random
from os import path as osp
__all__ = ['LabelList']
def LabelList(ratio=1, root='~/.mxnet/datasets', name='market1501'):
"""Load the Label List for Market 1501 dataset.
Parameters
----------
ratio : float, default 1
Split label... | 1,162 | 29.605263 | 82 | py |
gluon-cv | gluon-cv-master/gluoncv/data/mscoco/segmentation.py | """MSCOCO Semantic Segmentation pretraining for VOC."""
import os
import pickle
from tqdm import trange
from PIL import Image
import numpy as np
from .utils import try_import_pycocotools
from ..segbase import SegmentationDataset
class COCOSegmentation(SegmentationDataset):
"""COCO Semantic Segmentation Dataset fo... | 5,488 | 38.207143 | 92 | py |
gluon-cv | gluon-cv-master/gluoncv/data/mscoco/keypoints.py | """MS COCO keypoints dataset."""
from __future__ import absolute_import
from __future__ import division
import os
import copy
import numpy as np
import mxnet as mx
from .utils import try_import_pycocotools
from ..base import VisionDataset
from ...utils.bbox import bbox_xywh_to_xyxy, bbox_clip_xyxy
class COCOKeyPoints... | 8,686 | 38.307692 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/data/mscoco/instance.py | """MS COCO object detection dataset."""
from __future__ import absolute_import
from __future__ import division
import os
import numpy as np
from PIL import Image
import mxnet as mx
from .utils import try_import_pycocotools
from ..base import VisionDataset
__all__ = ['COCOInstance']
class COCOInstance(VisionDatase... | 8,800 | 42.78607 | 94 | py |
gluon-cv | gluon-cv-master/gluoncv/data/mscoco/detection.py | """MS COCO object detection dataset."""
from __future__ import absolute_import
from __future__ import division
import os
import numpy as np
from PIL import Image
import mxnet as mx
from .utils import try_import_pycocotools
from ..base import VisionDataset
from ...utils import try_import_dali
from ...utils.bbox impor... | 11,734 | 39.465517 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/data/lst/detection.py | """Detection Dataset from LST file."""
from __future__ import absolute_import
import os
import numpy as np
import mxnet as mx
from mxnet.gluon.data import Dataset
from ..recordio.detection import _transform_label
class LstDetection(Dataset):
"""Detection dataset loaded from LST file and raw images.
LST file i... | 1,926 | 33.410714 | 92 | py |
gluon-cv | gluon-cv-master/gluoncv/data/imagenet/classification.py | # pylint: disable=line-too-long,too-many-lines,missing-docstring
"""ImageNet classification dataset."""
from os import path
from mxnet.gluon.data.vision import ImageFolderDataset
__all__ = ['ImageNet', 'ImageNet1kAttr']
class ImageNet(ImageFolderDataset):
"""Load the ImageNet classification dataset.
Refer to... | 58,664 | 55.138756 | 159 | py |
gluon-cv | gluon-cv-master/gluoncv/data/kinetics700/classification.py | # pylint: disable=line-too-long,too-many-lines,missing-docstring
"""Kinetics700 video action recognition dataset.
Code adapted from https://github.com/open-mmlab/mmaction and
https://github.com/bryanyzhu/two-stream-pytorch"""
import os
from ..video_custom import VideoClsCustom
__all__ = ['Kinetics700']
class Kinetics... | 21,645 | 90.720339 | 144 | py |
gluon-cv | gluon-cv-master/gluoncv/data/tracking_data/track.py | """ siamrpn dataloader,include youtube-bb,VID,DET,COCO dataset
Code adapted from https://github.com/STVIR/pysot """
# coding: utf-8
# pylint: disable=missing-docstring,unused-argument,arguments-differ
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __fut... | 21,013 | 36.325044 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/data/ucf101/classification.py | # pylint: disable=line-too-long,too-many-lines,missing-docstring
"""UCF101 video action classification dataset.
Code adapted from https://github.com/open-mmlab/mmaction and
https://github.com/bryanyzhu/two-stream-pytorch"""
import os
from ..video_custom import VideoClsCustom
__all__ = ['UCF101']
class UCF101(VideoCls... | 7,771 | 57 | 124 | py |
gluon-cv | gluon-cv-master/gluoncv/data/visdrone/detection.py | """VisDrone2019 object detection dataset."""
from __future__ import absolute_import
from __future__ import division
import os
import logging
import numpy as np
import mxnet as mx
from ..base import VisionDataset
class VisDroneDetection(VisionDataset):
"""VisDrone2019-DET Dataset.
Parameters
----------
... | 4,730 | 39.784483 | 94 | py |
gluon-cv | gluon-cv-master/gluoncv/data/mixup/detection.py | # pylint: disable=keyword-arg-before-vararg
"""Mixup detection dataset wrapper."""
from __future__ import absolute_import
import numpy as np
import mxnet as mx
from mxnet.gluon.data import Dataset
class MixupDetection(Dataset):
"""Detection dataset wrapper that performs mixup for normal dataset.
Parameters
... | 2,662 | 34.039474 | 91 | py |
gluon-cv | gluon-cv-master/gluoncv/data/pascal_voc/segmentation.py | """Pascal VOC Semantic Segmentation Dataset."""
import os
import numpy as np
from PIL import Image
from mxnet import cpu
import mxnet.ndarray as F
from ..segbase import SegmentationDataset
class VOCSegmentation(SegmentationDataset):
"""Pascal VOC Semantic Segmentation Dataset.
Parameters
----------
ro... | 4,066 | 36.311927 | 89 | py |
gluon-cv | gluon-cv-master/gluoncv/data/pascal_voc/detection.py | """Pascal VOC object detection dataset."""
from __future__ import absolute_import
from __future__ import division
import glob
import logging
import os
import warnings
import numpy as np
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.ElementTree as ET
import mxnet as mx
from ..b... | 12,041 | 42.630435 | 118 | py |
gluon-cv | gluon-cv-master/gluoncv/data/somethingsomethingv2/classification.py | # pylint: disable=line-too-long,too-many-lines,missing-docstring
"""Something-something-v2 video action classification dataset.
Code adapted from https://github.com/open-mmlab/mmaction and
https://github.com/bryanyzhu/two-stream-pytorch"""
import os
from ..video_custom import VideoClsCustom
__all__ = ['SomethingSometh... | 16,261 | 79.50495 | 161 | py |
gluon-cv | gluon-cv-master/gluoncv/data/transforms/image.py | """Extended image transformations to `mxnet.image`."""
from __future__ import division
import random
import numpy as np
import mxnet as mx
from mxnet import nd
from mxnet.base import numeric_types
__all__ = ['imresize', 'resize_long', 'resize_short_within',
'random_pca_lighting', 'random_expand', 'random_fl... | 14,376 | 34.586634 | 93 | py |
gluon-cv | gluon-cv-master/gluoncv/data/transforms/video.py | # pylint: disable=missing-docstring,arguments-differ,line-too-long
"""Extended image transformations to video transformations.
Code adapted from:
https://github.com/bryanyzhu/two-stream-pytorch
https://github.com/facebookresearch/SlowFast
"""
from __future__ import division
import random
import math
import numbers
impo... | 29,154 | 34.126506 | 115 | py |
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