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/scripts/detection/faster_rcnn/train_doublehead_rcnn.py | """Train Doublehead-RCNN end to end."""
import argparse
import os
# disable autotune
os.environ['MXNET_CUDNN_AUTOTUNE_DEFAULT'] = '0'
os.environ['MXNET_GPU_MEM_POOL_TYPE'] = 'Round'
os.environ['MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF'] = '26'
os.environ['MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_FWD'] = '999'
os.environ['MXN... | 34,244 | 50.26497 | 108 | py |
gluon-cv | gluon-cv-master/scripts/detection/faster_rcnn/train_faster_rcnn.py | """Train Faster-RCNN end to end."""
import argparse
import os
# disable autotune
os.environ['MXNET_CUDNN_AUTOTUNE_DEFAULT'] = '0'
os.environ['MXNET_GPU_MEM_POOL_TYPE'] = 'Round'
os.environ['MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF'] = '26'
os.environ['MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_FWD'] = '999'
os.environ['MXNET_E... | 34,218 | 50.149477 | 108 | py |
gluon-cv | gluon-cv-master/scripts/detection/faster_rcnn/demo_faster_rcnn.py | """Faster RCNN Demo script."""
import os
import argparse
import mxnet as mx
import gluoncv as gcv
gcv.utils.check_version('0.6.0')
from gluoncv.data.transforms import presets
from matplotlib import pyplot as plt
def parse_args():
parser = argparse.ArgumentParser(description='Test with Faster RCNN networks.')
p... | 2,408 | 42.8 | 115 | py |
gluon-cv | gluon-cv-master/scripts/detection/yolo/train_yolo.py | """Train YOLOv3 with random shapes."""
import argparse
import os
import logging
import time
import warnings
import numpy as np
import mxnet as mx
from mxnet import nd
from mxnet import gluon
from mxnet import autograd
import gluoncv as gcv
gcv.utils.check_version('0.6.0')
from gluoncv import data as gdata
from gluoncv ... | 18,568 | 48.517333 | 149 | py |
gluon-cv | gluon-cv-master/scripts/detection/yolo/train_yolo3.py | """Train YOLOv3 with random shapes."""
import argparse
import os
import logging
import time
import warnings
import numpy as np
import mxnet as mx
from mxnet import nd
from mxnet import gluon
from mxnet import autograd
import gluoncv as gcv
gcv.utils.check_version('0.6.0')
from gluoncv import data as gdata
from gluoncv ... | 18,538 | 48.437333 | 149 | py |
gluon-cv | gluon-cv-master/scripts/detection/yolo/eval_yolo.py | from __future__ import division
from __future__ import print_function
import sys
import argparse
import logging
logging.basicConfig(level=logging.INFO)
import time
import numpy as np
import mxnet as mx
from tqdm import tqdm
from mxnet import nd
from mxnet import gluon
import gluoncv as gcv
gcv.utils.check_version('0.6... | 10,144 | 47.080569 | 137 | py |
gluon-cv | gluon-cv-master/scripts/detection/yolo/demo_yolo.py | """YOLO Demo script."""
import os
import argparse
import mxnet as mx
import gluoncv as gcv
gcv.utils.check_version('0.6.0')
from gluoncv.data.transforms import presets
from matplotlib import pyplot as plt
def parse_args():
parser = argparse.ArgumentParser(description='Test with YOLO networks.')
parser.add_argu... | 2,310 | 41.018182 | 92 | py |
gluon-cv | gluon-cv-master/scripts/tracking/siamrpn/test.py | """ SiamRPN test
Code adapted from https://github.com/STVIR/pysot"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import os
import numpy as np
import mxnet as mx
from gluoncv.model_zoo.siamrpn.siamrpn... | 6,035 | 43.711111 | 99 | py |
gluon-cv | gluon-cv-master/scripts/tracking/siamrpn/demo.py | """SiamRPN Demo script.
Code adapted from https://github.com/STVIR/pysot"""
import os
import argparse
import matplotlib.pyplot as plt
import numpy as np
import mxnet as mx
from gluoncv import model_zoo, utils
from gluoncv.model_zoo.siamrpn.siamrpn_tracker import SiamRPNTracker as build_tracker
from gluoncv.model_zoo.si... | 4,725 | 41.196429 | 107 | py |
gluon-cv | gluon-cv-master/scripts/tracking/siamrpn/train.py | """ SiamRPN train"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import logging
import os
import time
import numpy as np
os.environ['MXNET_CUDNN_AUTOTUNE_DEFAULT'] = '0'
import mxnet as mx
from mx... | 12,487 | 45.251852 | 100 | py |
gluon-cv | gluon-cv-master/scripts/gan/stylegan/modules.py | import numpy as np
from math import sqrt
import mxnet as mx
import mxnet.ndarray as nd
import mxnet.gluon.nn as nn
from numpy import prod
# pylint: disable-all
def get_weight_key(module):
for k in module.params.keys():
if 'weight' in k:
weight_key = k
return weight_key
def compute_weigh... | 10,695 | 34.892617 | 119 | py |
gluon-cv | gluon-cv-master/scripts/gan/stylegan/prepare_data.py | import argparse
from io import BytesIO
import multiprocessing
from functools import partial
from PIL import Image
import lmdb
from tqdm import tqdm
from mxnet.gluon.data.vision.datasets import ImageFolderDataset
# pylint: disable-all
def resize_and_convert(img, size, quality=100):
img = img.resize(size)
buff... | 1,921 | 26.070423 | 88 | py |
gluon-cv | gluon-cv-master/scripts/gan/stylegan/model.py | import random
import numpy as np
from math import sqrt
import mxnet as mx
import mxnet.ndarray as nd
from modules import *
# pylint: disable-all
class Generator(nn.HybridBlock):
def __init__(self, fused=True):
super().__init__()
self.progression = nn.HybridSequential()
with self.progress... | 7,948 | 34.486607 | 111 | py |
gluon-cv | gluon-cv-master/scripts/gan/stylegan/demo_stylegan.py | import argparse
import math
import os
import numpy as np
from tqdm import tqdm
from PIL import Image
import mxnet as mx
import mxnet.ndarray as nd
from model import StyledGenerator
# pylint: disable-all
def get_mean_style(generator, device):
mean_style = None
for i in range(10):
style = generator.me... | 2,567 | 26.319149 | 117 | py |
gluon-cv | gluon-cv-master/scripts/gan/stylegan/train.py | import os
import random
import math
import argparse
import logging
import os.path as osp
from io import BytesIO
import lmdb
import numpy as np
from PIL import Image
from tqdm import tqdm
from mpl_toolkits.axes_grid1 import ImageGrid
import matplotlib.pyplot as plt
plt.switch_backend('agg')
import mxnet as mx
import m... | 14,711 | 34.97066 | 129 | py |
gluon-cv | gluon-cv-master/scripts/gan/srgan/demo_srgan.py | from train_srgan import SRGenerator
import mxnet as mx
from mxnet.gluon.data.vision import transforms
from matplotlib import pyplot as plt
from gluoncv.utils import try_import_cv2
cv2 = try_import_cv2()
from mxnet import image
import argparse
def parse_args():
parser = argparse.ArgumentParser(description='Test wit... | 1,670 | 33.8125 | 92 | py |
gluon-cv | gluon-cv-master/scripts/gan/srgan/train_srgan.py | import argparse
import random
from mxnet import gluon, image,autograd
from mxnet.gluon.data.vision import transforms
from mxnet.gluon.data import DataLoader
from mxnet.gluon import nn
import mxnet.ndarray as nd
import mxnet as mx
from mxboard import SummaryWriter
import os
from mxnet.gluon.model_zoo import vision
clas... | 14,794 | 40.558989 | 170 | py |
gluon-cv | gluon-cv-master/scripts/gan/wgan/train_wgan.py | from __future__ import print_function
import argparse
from mxnet.image import image
from mxnet.gluon.data.vision import transforms,CIFAR10,ImageFolderDataset
from mxnet.gluon.data import DataLoader
from mxnet.gluon import Trainer,nn
from mxnet.base import numeric_types
from mxnet.initializer import *
from mxnet import ... | 22,704 | 42.747592 | 158 | py |
gluon-cv | gluon-cv-master/scripts/gan/wgan/lsun.py | from __future__ import absolute_import
from __future__ import division
import os
import numpy as np
import mxnet as mx
from mxnet import gluon
from PIL import Image
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.ElementTree as ET
import sys
if sys.version_info[0] == 2:
import ... | 5,760 | 33.704819 | 110 | py |
gluon-cv | gluon-cv-master/scripts/gan/cycle_gan/train_cgan.py | import argparse
import random
from mxnet import gluon, image,autograd
from mxnet.gluon.data.vision import transforms
from mxnet.base import numeric_types
import gluoncv as gcv
gcv.utils.check_version('0.6.0')
from gluoncv import utils as gutils
from mxnet.gluon.data import DataLoader
from mxnet.gluon import nn
import m... | 25,361 | 41.913706 | 308 | py |
gluon-cv | gluon-cv-master/scripts/gan/cycle_gan/demo_cycle_gan.py | """YOLO Demo script."""
import argparse
import mxnet as mx
from mxnet import image
from matplotlib import pyplot as plt
from mxnet.gluon.data.vision import transforms
from .train_cgan import define_G,Resize
def parse_args():
parser = argparse.ArgumentParser(description='Test with cycle gan networks.')
parser.a... | 2,337 | 41.509091 | 149 | py |
gluon-cv | gluon-cv-master/tests/model_zoo/test_utils_export.py | from __future__ import print_function
import numpy as np
import mxnet as mx
import gluoncv as gcv
from gluoncv.model_zoo.model_store import pretrained_model_list
from ..unittests.common import try_gpu
@try_gpu(0)
def test_export_model_zoo():
for model in pretrained_model_list():
print('exporting:', model)... | 2,800 | 34.910256 | 123 | py |
gluon-cv | gluon-cv-master/tests/model_zoo/test_model_zoo.py | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... | 29,500 | 42.511799 | 114 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_data_datasets.py | from __future__ import print_function
from __future__ import division
import os
import mxnet as mx
import numpy as np
import gluoncv as gcv
from gluoncv import data
from .tiny_datasets import COCODetectionTiny, COCOInstanceTiny, VOCDetectionTiny, VOCSegmentationTiny
import os.path as osp
import unittest
def test_pa... | 4,495 | 28.194805 | 101 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_data_transforms.py | from __future__ import print_function
from __future__ import division
import os.path as osp
import mxnet as mx
import numpy as np
from mxnet import autograd, gluon
import gluoncv as gcv
from gluoncv.data import transforms
from gluoncv.data import batchify
from gluoncv.data.batchify import Tuple, Stack, Pad
from gluonc... | 15,491 | 47.111801 | 152 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_utils_segmentation.py | from tqdm import tqdm
import unittest
import numpy as np
import mxnet as mx
from mxnet.test_utils import assert_almost_equal
from mxnet.gluon.data.vision import transforms
import gluoncv
from gluoncv.utils.metrics.segmentation import *
from gluoncv.data import ADE20KSegmentation
from .common import try_gpu, with_cpu
... | 2,827 | 36.210526 | 89 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_data_dataloader.py | from __future__ import print_function
from __future__ import division
import mxnet as mx
import numpy as np
import gluoncv as gcv
from gluoncv.data.batchify import *
from gluoncv.data import DetectionDataLoader, RandomTransformDataLoader
class DummyDetectionDataset(mx.gluon.data.Dataset):
def __init__(self, siz... | 3,381 | 31.519231 | 134 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_lr_scheduler.py | from __future__ import print_function
from __future__ import division
import os.path as osp
import mxnet as mx
import numpy as np
import gluoncv as gcv
from mxnet import autograd, gluon
from math import pi, cos
from gluoncv.utils import LRScheduler, LRSequential
def compare(obj, niter, expect, **kwargs):
np.test... | 5,219 | 34.27027 | 86 | py |
gluon-cv | gluon-cv-master/tests/unittests/tiny_datasets.py | import os
from gluoncv import data
class COCODetectionTiny(data.COCODetection):
CLASSES = ['bicycle', 'motorcycle']
def __init__(self, root=os.path.join('~', '.mxnet', 'datasets', 'tiny_coco'),
splits=('instances_val2017_tiny',), **kwargs):
super().__init__(root=root, splits=splits, *... | 1,252 | 38.15625 | 106 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_utils_parallel.py | import mxnet as mx
from mxnet import nd, autograd, gluon
from mxnet.gluon import nn, Block
from gluoncv.utils.parallel import DataParallelModel, DataParallelCriterion
def test_data_parallel():
# test gluon.contrib.parallel.DataParallelModel
net = nn.HybridSequential()
with net.name_scope():
net.add... | 1,922 | 34.611111 | 84 | py |
gluon-cv | gluon-cv-master/tests/unittests/common.py | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... | 10,028 | 35.736264 | 105 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_utils_metric.py | from __future__ import print_function
import numpy as np
import gluoncv as gcv
import mxnet as mx
from mxnet import autograd, gluon
from gluoncv.utils import download, viz
def test_voc07_metric_difficult():
url = 'https://apache-mxnet.s3-accelerate.amazonaws.com/gluon/dataset/pikachu/train.rec'
idx_url = 'htt... | 3,204 | 37.614458 | 104 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_utils_block.py | from __future__ import print_function
import numpy as np
import gluoncv as gcv
from mxnet.gluon.nn import BatchNorm
def check_bn_frozen_callback(net, value):
if isinstance(net, BatchNorm):
assert value == net._kwargs['use_global_stats']
def test_block_freeze_bn():
net = gcv.model_zoo.get_model('resne... | 686 | 30.227273 | 73 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_utils_viz.py | from __future__ import print_function
from __future__ import division
import unittest
import mxnet as mx
import numpy as np
import gluoncv as gcv
def test_viz_bbox():
img = mx.nd.zeros((300, 300, 3), dtype=np.uint8)
bbox = mx.nd.array([[10, 20, 200, 500], [150, 200, 400, 300]])
scores = mx.nd.array([0.8,... | 3,364 | 35.182796 | 109 | py |
gluon-cv | gluon-cv-master/tests/unittests/test_nn.py | import mxnet as mx
from gluoncv.nn import GroupNorm
def test_groupnorm():
ctx=mx.context.current_context()
x = mx.nd.random.uniform(1, 2, (4, 16, 8, 8), ctx=ctx)
gn = GroupNorm(4, 16)
gn.initialize(ctx=ctx)
y = gn(x)
y = y.reshape(0, 4, -1)
print('y.mean(2) =', y.mean(2))
mx.test_utils.... | 563 | 28.684211 | 76 | py |
gluon-cv | gluon-cv-master/tests/auto/test_torch_auto_estimators.py | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... | 7,169 | 40.929825 | 141 | py |
gluon-cv | gluon-cv-master/tests/auto/test_torch_auto_tasks.py | from gluoncv.auto.tasks import ImageClassification
import autogluon.core as ag
from nose.tools import nottest
IMAGE_CLASS_DATASET, _, IMAGE_CLASS_TEST = ImageClassification.Dataset.from_folders(
'https://autogluon.s3.amazonaws.com/datasets/shopee-iet.zip')
def test_torch_image_classification():
from gluoncv.a... | 1,166 | 39.241379 | 100 | py |
gluon-cv | gluon-cv-master/tests/auto/test_auto_estimators.py | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... | 7,396 | 48.313333 | 135 | py |
gluon-cv | gluon-cv-master/tests/model_zoo_torch/test_tvm_torch_export.py | import tvm
from tvm import relay
from tvm.contrib import graph_executor
from PIL import Image
import numpy as np
import torch
import torchvision.transforms as T
import torchvision
from torchvision import transforms
from gluoncv.torch.engine.config import get_cfg_defaults
from gluoncv.torch import model_zoo
def _test_... | 4,293 | 33.629032 | 114 | py |
gluon-cv | gluon-cv-master/tests/model_zoo_torch/test_model_zoo_torch.py | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... | 8,441 | 37.547945 | 97 | py |
gluon-cv | gluon-cv-master/tests/onnx/test_inference.py | class Model():
def __init__(self, model_name, input_shape, model_type):
self.model_name = model_name
self.model_type = model_type
if len(input_shape) == 4:
input_shape.append(input_shape.pop(1)) # change BCHW to BHWC
self.input_shape = tuple(input_shape)
self... | 9,437 | 45.722772 | 108 | py |
gluon-cv | gluon-cv-master/gluoncv/check.py | """Pre init checks"""
import sys
def _require_mxnet_version(mx_version, max_mx_version='2.0.0'):
try:
import mxnet as mx
from distutils.version import LooseVersion
if LooseVersion(mx.__version__) < LooseVersion(mx_version) or \
LooseVersion(mx.__version__) >= LooseVersion(max_mx... | 2,142 | 45.586957 | 115 | py |
gluon-cv | gluon-cv-master/gluoncv/loss.py | # pylint: disable=arguments-differ
"""Custom losses.
Losses are subclasses of gluon.loss.Loss which is a HybridBlock actually.
"""
from __future__ import absolute_import
from mxnet import gluon
from mxnet import nd
from mxnet.gluon.loss import Loss, _apply_weighting, _reshape_like
__all__ = ['FocalLoss', 'SSDMultiBoxL... | 27,925 | 41.440729 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/__init__.py | # coding: utf-8
# pylint: disable=wrong-import-position
"""GluonCV: a deep learning vision toolkit powered by Gluon."""
from __future__ import absolute_import
from .check import _deprecate_python2
from .check import _require_mxnet_version, _require_pytorch_version
__version__ = '0.11.0'
_deprecate_python2()
# optio... | 1,251 | 28.809524 | 116 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/dropblock.py | # pylint: disable=arguments-differ,line-too-long,missing-docstring,missing-module-docstring
from functools import partial
import mxnet as mx
from mxnet.gluon.nn import HybridBlock
__all__ = ['DropBlock', 'set_drop_prob', 'DropBlockScheduler']
class DropBlock(HybridBlock):
def __init__(self, drop_prob, block_size,... | 2,596 | 37.191176 | 125 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/sampler.py | # pylint: disable=arguments-differ, unused-argument
"""Samplers for positive/negative/ignore sample selections.
This module is used to select samples during training.
Based on different strategies, we would like to choose different number of
samples as positive, negative or ignore(don't care). The purpose is to allevia... | 16,048 | 43.704735 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/predictor.py | # pylint: disable=unused-argument,arguments-differ
"""Predictor for classification/box prediction."""
from __future__ import absolute_import
import mxnet as mx
from mxnet.gluon import HybridBlock
from mxnet.gluon import nn
class ConvPredictor(HybridBlock):
"""Convolutional predictor.
Convolutional predictor i... | 2,737 | 36 | 97 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/matcher.py | # pylint: disable=arguments-differ
"""Matchers for target assignment.
Matchers are commonly used in object-detection for anchor-groundtruth matching.
The matching process is a prerequisite to training target assignment.
Matching is usually not required during testing.
"""
from __future__ import absolute_import
from mxn... | 4,518 | 36.040984 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/block.py | # pylint: disable=abstract-method,unused-argument,arguments-differ,missing-docstring
"""Customized Layers.
"""
from __future__ import absolute_import
from mxnet import initializer
from mxnet.gluon import nn, contrib
from mxnet.gluon.nn import BatchNorm, HybridBlock
__all__ = ['BatchNormCudnnOff', 'Consensus', 'ReLU6',... | 5,889 | 31.185792 | 93 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/gn.py | # pylint: disable= arguments-differ,missing-docstring
"""Basic neural network layers."""
__all__ = ['GroupNorm']
import numpy as np
from mxnet.gluon.block import HybridBlock
from mxnet import autograd
class GroupNorm(HybridBlock):
"""GroupNorm normalization layer (Wu and He, 2014).
Parameters
----------
... | 3,998 | 42 | 91 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/coder.py | # pylint: disable=arguments-differ, missing-docstring
"""Encoder and Decoder functions.
Encoders are used during training, which assign training targets.
Decoders are used during testing/validation, which convert predictions back to
normal boxes, etc.
"""
from __future__ import absolute_import
import numpy as np
from ... | 21,869 | 42.652695 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/bbox.py | # pylint: disable=arguments-differ
"""Bounding boxes operators"""
from __future__ import absolute_import
import numpy as np
from mxnet import gluon
class NumPyBBoxCornerToCenter(object):
"""Convert corner boxes to center boxes using numpy.
Corner boxes are encoded as (xmin, ymin, xmax, ymax)
Center boxes... | 9,033 | 32.335793 | 96 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/splat.py | # pylint: disable=arguments-differ,line-too-long,missing-docstring,missing-module-docstring
from mxnet.gluon import nn
from mxnet.gluon.nn import Conv2D, HybridBlock, BatchNorm, Activation
__all__ = ['SplitAttentionConv']
class SplitAttentionConv(HybridBlock):
# pylint: disable=keyword-arg-before-vararg
def ... | 2,674 | 40.796875 | 97 | py |
gluon-cv | gluon-cv-master/gluoncv/nn/feature.py | # pylint: disable=abstract-method
"""Feature extraction blocks.
Feature or Multi-Feature extraction is a key component in object detection.
Class predictor/Box predictor are usually applied on feature layer(s).
A good feature extraction mechanism is critical to performance.
"""
from __future__ import absolute_import
i... | 13,074 | 45.365248 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/pspnet.py | # pylint: disable=unused-argument
"""Pyramid Scene Parsing Network"""
from mxnet.gluon import nn
from mxnet.context import cpu
from mxnet.gluon.nn import HybridBlock
from .segbase import SegBaseModel
from .fcn import _FCNHead
# pylint: disable-all
__all__ = ['PSPNet', 'get_psp', 'get_psp_resnet101_coco', 'get_psp_resn... | 10,991 | 37.840989 | 103 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/dla.py | """Deep Layer Aggregation networks, implemented in Gluon."""
# pylint: disable=arguments-differ,unused-argument,missing-docstring
from __future__ import division
import os
import mxnet as mx
from mxnet.gluon.block import HybridBlock
from mxnet.gluon import nn
from mxnet.gluon.nn import BatchNorm
__all__ = ['DLA', 'g... | 15,068 | 39.508065 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/hrnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 30,537 | 39.609043 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/icnet.py | # pylint: disable=unused-argument,abstract-method,missing-docstring,arguments-differ
"""Image Cascade Network (ICNet)
ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV 2018
https://hszhao.github.io/projects/icnet/
Code partially borrowed from https://github.com/lxtGH/Fast_Seg/blob/master/libs/mo... | 15,511 | 38.876607 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/fcn.py | """Fully Convolutional Network with Stride of 8"""
from __future__ import division
from mxnet.gluon import nn
from mxnet.context import cpu
from mxnet.gluon.nn import HybridBlock
from .segbase import SegBaseModel
# pylint: disable=unused-argument,abstract-method,missing-docstring
__all__ = ['FCN', 'get_fcn', 'get_fcn_... | 9,745 | 38.942623 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/residual_attentionnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 37,859 | 40.604396 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/inception.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 12,026 | 45.797665 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/resnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 44,671 | 43.185955 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/danet.py | """Dual Attention Network
https://arxiv.org/abs/1809.02983"""
from mxnet.gluon import nn
from mxnet.context import cpu
from mxnet.gluon.nn import HybridBlock
from .segbase import SegBaseModel
from .fcn import _FCNHead
from .attention import PAM_Module, CAM_Module
# pylint: disable-all
__all__ = ['DANet', 'get_danet', ... | 7,480 | 37.364103 | 111 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/squeezenet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 7,924 | 44.028409 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/vgg.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 10,601 | 39.776923 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/deeplabv3_plus.py | """Pyramid Scene Parsing Network"""
from mxnet.gluon import nn
from mxnet.context import cpu
from mxnet.gluon.nn import HybridBlock
from mxnet import gluon
from .fcn import _FCNHead
from .xception import get_xcetption
# pylint: disable-all
__all__ = ['DeepLabV3Plus', 'get_deeplab_plus', 'get_deeplab_plus_xception_coco... | 11,908 | 38.564784 | 105 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/model_zoo.py | # pylint: disable=wildcard-import, unused-wildcard-import, line-too-long
"""Model store which handles pretrained models from both
mxnet.gluon.model_zoo.vision and gluoncv.models
"""
from .alexnet import *
from .cifarresnet import *
from .cifarresnext import *
from .cifarwideresnet import *
from .deeplabv3 import *
from... | 20,134 | 46.154567 | 119 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/densenet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 11,361 | 43.732283 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/googlenet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 16,594 | 46.550143 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/cifarresnext.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 10,168 | 40.337398 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/mobilenetv3.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 14,730 | 41.209169 | 132 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/resnext.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 22,119 | 41.868217 | 123 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/senet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 12,769 | 41.566667 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/shufflenet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 10,245 | 43.547826 | 181 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/deeplabv3b_plus.py | """DeepLabV3+ with wideresnet backbone for semantic segmentation"""
# pylint: disable=missing-docstring,arguments-differ,unused-argument
from mxnet.gluon import nn
from mxnet.context import cpu
from mxnet.gluon.nn import HybridBlock
from .wideresnet import wider_resnet38_a2
__all__ = ['DeepLabWV3Plus', 'get_deeplabv3b... | 11,172 | 39.777372 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/segbase.py | """Base Model for Semantic Segmentation"""
import math
import warnings
import numpy as np
import mxnet as mx
from mxnet.ndarray import NDArray
from mxnet.gluon.nn import HybridBlock
from ..utils.parallel import parallel_apply
from .resnetv1b import resnet18_v1b, resnet34_v1b, resnet50_v1s, resnet101_v1s, resnet152_v1s
... | 9,515 | 35.45977 | 108 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/deeplabv3.py | # pylint: disable=unused-argument
"""Pyramid Scene Parsing Network"""
from mxnet.gluon import nn
from mxnet.context import cpu
from mxnet.gluon.nn import HybridBlock
from mxnet import gluon
from .segbase import SegBaseModel
from .fcn import _FCNHead
# pylint: disable-all
__all__ = ['DeepLabV3', 'get_deeplab', 'get_dee... | 17,099 | 37 | 104 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/model_store.py | # pylint: disable=wildcard-import, unused-wildcard-import, line-too-long
"""Model store which provides pretrained models."""
from __future__ import print_function
__all__ = ['get_model_file', 'purge']
import os
import zipfile
import logging
import portalocker
from ..utils import download, check_sha1
_model_sha1 = {n... | 20,595 | 59.222222 | 106 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/resnest.py | """ResNeSt implemented in Gluon."""
# pylint: disable=arguments-differ,unused-argument,missing-docstring,line-too-long
from __future__ import division
import math
from mxnet.context import cpu
from mxnet.gluon import nn
from mxnet.gluon.block import HybridBlock
from mxnet.gluon.nn import BatchNorm
from ..nn.dropbloc... | 27,942 | 49.897996 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/nasnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 38,745 | 46.136253 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/cifarwideresnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 11,305 | 41.344569 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/resnetv1b.py | """ResNetV1bs, implemented in Gluon."""
# pylint: disable=arguments-differ,unused-argument,missing-docstring
from __future__ import division
from mxnet.context import cpu
from mxnet.gluon.block import HybridBlock
from mxnet.gluon import nn
from mxnet.gluon.nn import BatchNorm
__all__ = ['ResNetV1b', 'resnet18_v1b', '... | 42,083 | 46.232323 | 100 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/xception.py | # code adapted from https://github.com/jfzhang95/pytorch-deeplab-xception/
# pylint: disable=arguments-differ,unused-argument,missing-docstring,unused-variable
"""Xception, implemented in Gluon."""
__all__ = ['Xception65', 'Xception71', 'get_xcetption', 'get_xcetption_71']
from mxnet.context import cpu
import mxnet.glu... | 16,952 | 41.276808 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/se_resnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 31,038 | 42.16968 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/mobilenet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 21,825 | 42.134387 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/attention.py | import mxnet as mx
from mxnet.gluon import nn
from mxnet.gluon.nn import HybridBlock
# pylint: disable-all
__all__ = ['PAM_Module', 'CAM_Module']
class PAM_Module(HybridBlock):
r""" Position attention module
from the paper `"Dual Attention Network for Scene Segmentation"
<https://arxiv.org/abs/1809.02983... | 2,946 | 36.782051 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/fastscnn.py | # pylint: disable=unused-argument, arguments-differ, unused-variable
"""Fast-SCNN, implemented in Gluon. Code adapted from lxtGH/Fast_Seg"""
__all__ = ['FastSCNN', 'get_fastscnn', 'get_fastscnn_citys']
from mxnet.context import cpu
from mxnet.gluon.block import HybridBlock
from mxnet.gluon import nn
class FastSCNN(H... | 18,075 | 43.087805 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/cifarresnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 18,598 | 40.984199 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/wideresnet.py | """
# Code adapted from:
# https://github.com/mapillary/inplace_abn/
#
# BSD 3-Clause License
#
# Copyright (c) 2017, mapillary
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistribution... | 13,143 | 38.119048 | 93 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/alexnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 3,898 | 41.380435 | 95 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/smot/ssd.py | """Single-shot Multi-box Detector."""
from __future__ import absolute_import
import os
import warnings
import mxnet as mx
from mxnet import autograd
from mxnet.gluon import nn
from mxnet.gluon import HybridBlock
from gluoncv.nn.feature import FeatureExpander
from gluoncv.nn.predictor import ConvPredictor
from gluonc... | 24,301 | 47.995968 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/smot/presets.py | """SSD predefined models."""
from __future__ import absolute_import
import warnings
from gluoncv.data import VOCDetection
from .ssd import get_ssd
from ..ssd.anchor import LiteAnchorGenerator
from ..ssd.vgg_atrous import vgg16_atrous_300, vgg16_atrous_512
__all__ = ['ssd_300_vgg16_atrous_voc',
'ssd_300_vg... | 38,904 | 43.564719 | 98 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/smot/general_detector.py | """
Provide a general object detector interface for SMOT
"""
# pylint: disable=unused-wildcard-import,wildcard-import
import logging
import numpy as np
import mxnet as mx
from gluoncv.data import COCODetection
from .utils import mxnet_frame_preprocessing, timeit_context
from .utils import remap_bboxes as _remap_bboxe... | 7,119 | 42.950617 | 141 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/smot/utils.py | """
Utility functions for SMOT: Single-Shot Multi Object Tracking
https://arxiv.org/abs/2010.16031
"""
import time
import logging
from contextlib import contextmanager
import mxnet as mx
import numpy as np
def timeit(method):
"""
The timing decorator to wrap the functions
"""
def timed(*args, **kw):
... | 7,118 | 30.361233 | 118 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/smot/smot_tracker.py | """
MXNet implementation of tracktor in SMOT: Single-Shot Multi Object Tracking
https://arxiv.org/abs/2010.16031
"""
# pylint: disable=line-too-long,logging-format-interpolation,unused-argument,missing-function-docstring
from __future__ import absolute_import
import logging
import time
import numpy as np
import mxnet ... | 23,712 | 42.590074 | 139 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/smot/tracktors.py | """
Tractor module for SMOT
"""
# pylint: disable=arguments-differ
from abc import ABC, abstractmethod
import numpy as np
import mxnet as mx
from .utils import timeit
from .general_detector import GeneralDetector
class BaseAnchorBasedTracktor(ABC):
"""
BaseAnchorBasedTracktor
"""
@abstractmethod
... | 4,809 | 33.113475 | 113 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/pruned_resnet/resnetv1b_pruned.py | """Pruned ResNetV1bs, implemented in Gluon."""
from __future__ import division
import json
import os
from mxnet.context import cpu
from mxnet.gluon import nn
from mxnet import ndarray
from ..resnetv1b import ResNetV1b
from ..resnetv1b import BasicBlockV1b
from ..resnetv1b import BottleneckV1b
__all__ = ['resnet18_v1b... | 14,937 | 44.963077 | 99 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/quantized/quantized.py | # pylint: skip-file
# pylint: disable=line-too-long
"""Create quantized model from JSON files..."""
import os
import warnings
import mxnet as mx
from mxnet.context import cpu
from mxnet.gluon import SymbolBlock
from gluoncv.utils.compress_json import get_compressed_model
__all__ = ['mobilenet1_0_int8', 'resnet50_v1_in... | 306,826 | 2,159.753521 | 25,875 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/ssd/target.py | """SSD training target generator."""
from __future__ import absolute_import
from mxnet import nd
from mxnet.gluon import Block
from ...nn.matcher import CompositeMatcher, BipartiteMatcher, MaximumMatcher
from ...nn.sampler import OHEMSampler, NaiveSampler
from ...nn.coder import MultiClassEncoder, NormalizedBoxCenterE... | 2,354 | 42.611111 | 87 | py |
gluon-cv | gluon-cv-master/gluoncv/model_zoo/ssd/ssd.py | """Single-shot Multi-box Detector."""
from __future__ import absolute_import
import os
import warnings
import mxnet as mx
from mxnet import autograd
from mxnet.gluon import nn
from mxnet.gluon import HybridBlock
from ...nn.feature import FeatureExpander
from .anchor import SSDAnchorGenerator
from ...nn.predictor impor... | 23,701 | 50.30303 | 99 | py |
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