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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imgclsmob | imgclsmob-master/gluon/gluoncv2/models/crunet.py | """
CRU-Net, implemented in Gluon.
Original paper: 'Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks,'
https://www.ijcai.org/proceedings/2018/88.
"""
__all__ = ['CRUNet', 'crunet56', 'crunet116']
import os
import math
from mxnet import cpu
from mxnet.gluon imp... | 21,164 | 32.436019 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fbnet.py | """
FBNet for ImageNet-1K, implemented in Gluon.
Original paper: 'FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search,'
https://arxiv.org/abs/1812.03443.
"""
__all__ = ['FBNet', 'fbnet_cb']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
fro... | 11,752 | 33.567647 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/visemenet.py | """
VisemeNet for speech-driven facial animation, implemented in Gluon.
Original paper: 'VisemeNet: Audio-Driven Animator-Centric Speech Animation,' https://arxiv.org/abs/1805.09488.
"""
__all__ = ['VisemeNet', 'visemenet20']
import os
from mxnet import cpu
from mxnet.gluon import nn, rnn, HybridBlock
from .c... | 9,324 | 31.155172 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fractalnet_cifar.py | """
FractalNet for CIFAR, implemented in Gluon.
Original paper: 'FractalNet: Ultra-Deep Neural Networks without Residuals,' https://arxiv.org/abs/1605.07648.
"""
__all__ = ['CIFARFractalNet', 'fractalnet_cifar10', 'fractalnet_cifar100']
import os
import numpy as np
import mxnet as mx
from mxnet import cpu
fro... | 17,294 | 32.195777 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/mobilenetv3.py | """
MobileNetV3 for ImageNet-1K, implemented in Gluon.
Original paper: 'Searching for MobileNetV3,' https://arxiv.org/abs/1905.02244.
"""
__all__ = ['MobileNetV3', 'mobilenetv3_small_w7d20', 'mobilenetv3_small_wd2', 'mobilenetv3_small_w3d4',
'mobilenetv3_small_w1', 'mobilenetv3_small_w5d4', 'mobilen... | 21,706 | 35.238731 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/diaresnet.py | """
DIA-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'DIANet: Dense-and-Implicit Attention Network,' https://arxiv.org/abs/1905.10671.
"""
__all__ = ['DIAResNet', 'diaresnet10', 'diaresnet12', 'diaresnet14', 'diaresnetbc14b', 'diaresnet16', 'diaresnet18',
'diaresnet26', 'diaresnetbc... | 27,098 | 33.565051 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/lffd.py | """
LFFD for face detection, implemented in Gluon.
Original paper: 'LFFD: A Light and Fast Face Detector for Edge Devices,' https://arxiv.org/abs/1904.10633.
"""
__all__ = ['LFFD', 'lffd20x5s320v2_widerface', 'lffd25x8s560v1_widerface']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
f... | 12,410 | 33.28453 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/sepreresnet.py | """
SE-PreResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['SEPreResNet', 'sepreresnet10', 'sepreresnet12', 'sepreresnet14', 'sepreresnet16', 'sepreresnet18',
'sepreresnet26', 'sepreresnetbc26b', 'seprer... | 21,007 | 34.071786 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnext.py | """
ResNeXt for ImageNet-1K, implemented in Gluon.
Original paper: 'Aggregated Residual Transformations for Deep Neural Networks,' http://arxiv.org/abs/1611.05431.
"""
__all__ = ['ResNeXt', 'resnext14_16x4d', 'resnext14_32x2d', 'resnext14_32x4d', 'resnext26_16x4d', 'resnext26_32x2d',
'resnext26_32x4... | 17,156 | 33.245509 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/jasper.py | """
Jasper/DR for ASR, implemented in Gluon.
Original paper: 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288.
"""
__all__ = ['Jasper', 'jasper5x3', 'jasper10x4', 'jasper10x5', 'get_jasper', 'MaskConv1d', 'NemoAudioReader',
'NemoMelSpecExtractor', 'CtcDec... | 38,940 | 31.806234 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resneta.py | """
ResNet(A) with average downsampling for ImageNet-1K, implemented in Gluon.
Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385.
"""
__all__ = ['ResNetA', 'resneta10', 'resnetabc14b', 'resneta18', 'resneta50b', 'resneta101b', 'resneta152b']
import os
from mxnet ... | 17,132 | 34.545643 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnesta.py | """
ResNeSt(A) with average downsampling for ImageNet-1K, implemented in Gluon.
Original paper: 'ResNeSt: Split-Attention Networks,' https://arxiv.org/abs/2004.08955.
"""
__all__ = ['ResNeStA', 'resnestabc14', 'resnesta18', 'resnestabc26', 'resnestabc38', 'resnesta50', 'resnesta101',
'resnesta152', ... | 22,512 | 33.849845 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/senet.py | """
SENet for ImageNet-1K, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['SENet', 'senet16', 'senet28', 'senet40', 'senet52', 'senet103', 'senet154', 'SEInitBlock']
import os
import math
from mxnet import cpu
from mxnet.gluon import n... | 15,863 | 31.641975 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/diapreresnet_cifar.py | """
DIA-PreResNet for CIFAR/SVHN, implemented in Gluon.
Original papers: 'DIANet: Dense-and-Implicit Attention Network,' https://arxiv.org/abs/1905.10671.
"""
__all__ = ['CIFARDIAPreResNet', 'diapreresnet20_cifar10', 'diapreresnet20_cifar100', 'diapreresnet20_svhn',
'diapreresnet56_cifar10', 'diapre... | 22,523 | 36.855462 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/simplepose_coco.py | """
SimplePose for COCO Keypoint, implemented in Gluon.
Original paper: 'Simple Baselines for Human Pose Estimation and Tracking,' https://arxiv.org/abs/1804.06208.
"""
__all__ = ['SimplePose', 'simplepose_resnet18_coco', 'simplepose_resnet50b_coco', 'simplepose_resnet101b_coco',
'simplepose_resnet1... | 15,538 | 39.571802 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/vovnet.py | """
VoVNet for ImageNet-1K, implemented in Gluon.
Original paper: 'An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection,'
https://arxiv.org/abs/1904.09730.
"""
__all__ = ['VoVNet', 'vovnet27s', 'vovnet39', 'vovnet57']
import os
from mxnet import cpu
from mxnet.gluon impo... | 11,803 | 32.064426 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/crunetb.py | """
CRU-Net(b), implemented in Gluon.
Original paper: 'Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks,'
https://www.ijcai.org/proceedings/2018/88.
"""
__all__ = ['CRUNetb', 'crunet56b', 'crunet116b']
import os
import math
from mxnet import cpu
from mxnet.glu... | 20,687 | 33.138614 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/espnetv2.py | """
ESPNetv2 for ImageNet-1K, implemented in Gluon.
Original paper: 'ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network,'
https://arxiv.org/abs/1811.11431.
"""
__all__ = ['ESPNetv2', 'espnetv2_wd2', 'espnetv2_w1', 'espnetv2_w5d4', 'espnetv2_w3d2', 'espnetv2_w2']
im... | 20,193 | 32.600666 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/shufflenet.py | """
ShuffleNet for ImageNet-1K, implemented in Gluon.
Original paper: 'ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices,'
https://arxiv.org/abs/1707.01083.
"""
__all__ = ['ShuffleNet', 'shufflenet_g1_w1', 'shufflenet_g2_w1', 'shufflenet_g3_w1', 'shufflenet_g4_w1',
... | 17,247 | 33.222222 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/bamresnet.py | """
BAM-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'BAM: Bottleneck Attention Module,' https://arxiv.org/abs/1807.06514.
"""
__all__ = ['BamResNet', 'bam_resnet18', 'bam_resnet34', 'bam_resnet50', 'bam_resnet101', 'bam_resnet152']
import os
from mxnet import cpu
from mxnet.gluon import nn, ... | 16,255 | 31.253968 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resattnet.py | """
ResAttNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Residual Attention Network for Image Classification,' https://arxiv.org/abs/1704.06904.
"""
__all__ = ['ResAttNet', 'resattnet56', 'resattnet92', 'resattnet128', 'resattnet164', 'resattnet200', 'resattnet236',
'resattnet452']
imp... | 25,649 | 32.096774 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/centernet.py | """
CenterNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Objects as Points,' https://arxiv.org/abs/1904.07850.
"""
__all__ = ['CenterNet', 'centernet_resnet18_voc', 'centernet_resnet18_coco', 'centernet_resnet50b_voc',
'centernet_resnet50b_coco', 'centernet_resnet101b_voc', 'centernet_r... | 18,867 | 34.466165 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/xdensenet_cifar.py | """
X-DenseNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Deep Expander Networks: Efficient Deep Networks from Graph Theory,'
https://arxiv.org/abs/1711.08757.
"""
__all__ = ['CIFARXDenseNet', 'xdensenet40_2_k24_bc_cifar10', 'xdensenet40_2_k24_bc_cifar100',
'xdensenet40_2_k24_bc_svhn... | 14,171 | 35.245524 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ntsnet_cub.py | """
NTS-Net for CUB-200-2011, implemented in Gluon.
Original paper: 'Learning to Navigate for Fine-grained Classification,' https://arxiv.org/abs/1809.00287.
"""
__all__ = ['NTSNet', 'ntsnet_cub']
import os
import numpy as np
import mxnet as mx
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
fro... | 14,467 | 33.695444 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/proxylessnas_cub.py | """
ProxylessNAS for CUB-200-2011, implemented in Gluon.
Original paper: 'ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware,'
https://arxiv.org/abs/1812.00332.
"""
__all__ = ['proxylessnas_cpu_cub', 'proxylessnas_gpu_cub', 'proxylessnas_mobile_cub', 'proxylessnas_mobile14_cub']
f... | 4,484 | 33.767442 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ibnresnet.py | """
IBN-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,'
https://arxiv.org/abs/1807.09441.
"""
__all__ = ['IBNResNet', 'ibn_resnet50', 'ibn_resnet101', 'ibn_resnet152']
import os
from mxnet import cpu
from mxnet.gluo... | 14,932 | 31.81978 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/common.py | """
Common routines for models in Gluon.
"""
__all__ = ['round_channels', 'BreakBlock', 'get_activation_layer', 'ReLU6', 'PReLU2', 'HSigmoid', 'HSwish', 'Softmax',
'SelectableDense', 'BatchNormExtra', 'DenseBlock', 'ConvBlock1d', 'conv1x1', 'conv3x3', 'depthwise_conv3x3',
'ConvBlock', 'conv1x... | 84,759 | 32.501976 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/lwopenpose_cmupan.py | """
Lightweight OpenPose 2D/3D for CMU Panoptic, implemented in Gluon.
Original paper: 'Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose,'
https://arxiv.org/abs/1811.12004.
"""
__all__ = ['LwOpenPose', 'lwopenpose2d_mobilenet_cmupan_coco', 'lwopenpose3d_mobilenet_cmupan_coco',
... | 26,308 | 35.138736 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/rir_cifar.py | """
RiR for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Resnet in Resnet: Generalizing Residual Architectures,' https://arxiv.org/abs/1603.08029.
"""
__all__ = ['CIFARRiR', 'rir_cifar10', 'rir_cifar100', 'rir_svhn', 'RiRFinalBlock']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBloc... | 12,481 | 31.761155 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/diapreresnet.py | """
DIA-PreResNet for ImageNet-1K, implemented in Gluon.
Original papers: 'DIANet: Dense-and-Implicit Attention Network,' https://arxiv.org/abs/1905.10671.
"""
__all__ = ['DIAPreResNet', 'diapreresnet10', 'diapreresnet12', 'diapreresnet14', 'diapreresnetbc14b', 'diapreresnet16',
'diapreresnet18', 'd... | 23,989 | 35.293495 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/jasperdr.py | """
Jasper DR (Dense Residual) for ASR, implemented in Gluon.
Original paper: 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288.
"""
__all__ = ['jasperdr10x5_en', 'jasperdr10x5_en_nr']
from .jasper import get_jasper
def jasperdr10x5_en(classes=29, **kwargs):
"... | 3,244 | 30.504854 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/deeplabv3.py | """
DeepLabv3 for image segmentation, implemented in Gluon.
Original paper: 'Rethinking Atrous Convolution for Semantic Image Segmentation,' https://arxiv.org/abs/1706.05587.
"""
__all__ = ['DeepLabv3', 'deeplabv3_resnetd50b_voc', 'deeplabv3_resnetd101b_voc', 'deeplabv3_resnetd152b_voc',
'deeplabv3_... | 22,813 | 38.884615 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fpenet.py | """
FPENet for image segmentation, implemented in Gluon.
Original paper: 'Feature Pyramid Encoding Network for Real-time Semantic Segmentation,'
https://arxiv.org/abs/1909.08599.
"""
__all__ = ['FPENet', 'fpenet_cityscapes']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .com... | 16,864 | 32.662675 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/irevnet.py | """
i-RevNet for ImageNet-1K, implemented in Gluon.
Original paper: 'i-RevNet: Deep Invertible Networks,' https://arxiv.org/abs/1802.07088.
"""
__all__ = ['IRevNet', 'irevnet301', 'IRevDownscale', 'IRevSplitBlock', 'IRevMergeBlock']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from ... | 17,306 | 31.59322 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/model_store.py | """
Model store which provides pretrained models.
"""
__all__ = ['get_model_file']
import os
import zipfile
import logging
from mxnet.gluon.utils import download, check_sha1
_model_sha1 = {name: (error, checksum, repo_release_tag) for name, error, checksum, repo_release_tag in [
('alexnet', '1610', '4dd7cfb6... | 61,759 | 83.718793 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fastseresnet.py | """
Fast-SE-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['FastSEResNet', 'fastseresnet101b']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import conv1x1_block, SEBlock
f... | 10,500 | 32.336508 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ibnbresnet.py | """
IBN(b)-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,'
https://arxiv.org/abs/1807.09441.
"""
__all__ = ['IBNbResNet', 'ibnb_resnet50', 'ibnb_resnet101', 'ibnb_resnet152']
import os
from mxnet import cpu
from mxn... | 13,442 | 31.007143 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/polynet.py | """
PolyNet for ImageNet-1K, implemented in Gluon.
Original paper: 'PolyNet: A Pursuit of Structural Diversity in Very Deep Networks,'
https://arxiv.org/abs/1611.05725.
"""
__all__ = ['PolyNet', 'polynet']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from mxnet.gluon.contrib.nn ... | 38,413 | 32.52007 | 122 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnet_cifar.py | """
ResNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385.
"""
__all__ = ['CIFARResNet', 'resnet20_cifar10', 'resnet20_cifar100', 'resnet20_svhn',
'resnet56_cifar10', 'resnet56_cifar100', 'resnet56_svhn',
... | 25,521 | 36.09593 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/nasnet.py | """
NASNet-A for ImageNet-1K, implemented in Gluon.
Original paper: 'Learning Transferable Architectures for Scalable Image Recognition,'
https://arxiv.org/abs/1707.07012.
"""
__all__ = ['NASNet', 'nasnet_4a1056', 'nasnet_6a4032', 'nasnet_dual_path_sequential']
import os
from mxnet import cpu
from mxnet.g... | 41,341 | 29.443299 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnext_cifar.py | """
ResNeXt for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Aggregated Residual Transformations for Deep Neural Networks,' http://arxiv.org/abs/1611.05431.
"""
__all__ = ['CIFARResNeXt', 'resnext20_1x64d_cifar10', 'resnext20_1x64d_cifar100', 'resnext20_1x64d_svhn',
'resnext20_2x32d_cifar10', ... | 71,735 | 39.075978 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/densenet_cifar.py | """
DenseNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Densely Connected Convolutional Networks,' https://arxiv.org/abs/1608.06993.
"""
__all__ = ['CIFARDenseNet', 'densenet40_k12_cifar10', 'densenet40_k12_cifar100', 'densenet40_k12_svhn',
'densenet40_k12_bc_cifar10', 'densenet40_k12_bc... | 32,370 | 37.354265 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/bninception.py | """
BN-Inception for ImageNet-1K, implemented in Gluon.
Original paper: 'Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift,'
https://arxiv.org/abs/1502.03167.
"""
__all__ = ['BNInception', 'bninception']
import os
from mxnet import cpu
from mxnet.gluon import nn,... | 19,996 | 33.008503 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/msdnet.py | """
MSDNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Multi-Scale Dense Networks for Resource Efficient Image Classification,'
https://arxiv.org/abs/1703.09844.
"""
__all__ = ['MSDNet', 'msdnet22', 'MultiOutputSequential', 'MSDFeatureBlock']
import os
import math
from mxnet import cpu
from mx... | 20,581 | 31.566456 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/zfnet.py | """
ZFNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Visualizing and Understanding Convolutional Networks,' https://arxiv.org/abs/1311.2901.
"""
__all__ = ['zfnet', 'zfnetb']
import os
from mxnet import cpu
from .alexnet import AlexNet
def get_zfnet(version="a",
model_name=None,
... | 4,058 | 28.201439 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/peleenet.py | """
PeleeNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Pelee: A Real-Time Object Detection System on Mobile Devices,' https://arxiv.org/abs/1804.06882.
"""
__all__ = ['PeleeNet', 'peleenet']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from mxnet.gluon.contrib.nn impor... | 13,545 | 31.252381 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/regnetv.py | """
RegNetV for ImageNet-1K, implemented in Gluon.
Original paper: 'Designing Network Design Spaces,' https://arxiv.org/abs/2003.13678.
"""
__all__ = ['RegNetV', 'regnetv002', 'regnetv004', 'regnetv006', 'regnetv008', 'regnetv016', 'regnetv032', 'regnetv040',
'regnetv064', 'regnetv080', 'regnetv120'... | 21,904 | 34.444984 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/sharesnet.py | """
ShaResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'ShaResNet: reducing residual network parameter number by sharing weights,'
https://arxiv.org/abs/1702.08782.
"""
__all__ = ['ShaResNet', 'sharesnet18', 'sharesnet34', 'sharesnet50', 'sharesnet50b', 'sharesnet101', 'sharesnet101b',
... | 23,240 | 33.73991 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ibppose_coco.py | """
IBPPose for COCO Keypoint, implemented in Gluon.
Original paper: 'Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation,'
https://arxiv.org/abs/1911.10529.
"""
__all__ = ['IbpPose', 'ibppose_coco']
import os
from mxnet import cpu
from mxnet.gluon import nn, Hybrid... | 18,529 | 29.883333 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/xception.py | """
Xception for ImageNet-1K, implemented in Gluon.
Original paper: 'Xception: Deep Learning with Depthwise Separable Convolutions,' https://arxiv.org/abs/1610.02357.
"""
__all__ = ['Xception', 'xception']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import conv1x1_bloc... | 14,182 | 30.87191 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/darknet53.py | """
DarkNet-53 for ImageNet-1K, implemented in Gluon.
Original source: 'YOLOv3: An Incremental Improvement,' https://arxiv.org/abs/1804.02767.
"""
__all__ = ['DarkNet53', 'darknet53']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import conv1x1_block, conv3x3_block
cla... | 7,537 | 31.917031 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/mobilenet.py | """
MobileNet for ImageNet-1K, implemented in Gluon.
Original paper: 'MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications,'
https://arxiv.org/abs/1704.04861.
"""
__all__ = ['MobileNet', 'mobilenet_w1', 'mobilenet_w3d4', 'mobilenet_wd2', 'mobilenet_wd4', 'get_mobilenet']
impo... | 9,265 | 34.098485 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/dpn.py | """
DPN for ImageNet-1K, implemented in Gluon.
Original paper: 'Dual Path Networks,' https://arxiv.org/abs/1707.01629.
"""
__all__ = ['DPN', 'dpn68', 'dpn68b', 'dpn98', 'dpn107', 'dpn131']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import conv1x1, DualPathSequential
... | 20,220 | 28.957037 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/sknet.py | """
SKNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Selective Kernel Networks,' https://arxiv.org/abs/1903.06586.
"""
__all__ = ['SKNet', 'sknet50', 'sknet101', 'sknet152']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import conv1x1, conv1x1_block, conv3x3... | 12,972 | 31.595477 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/spnasnet.py | """
Single-Path NASNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours,'
https://arxiv.org/abs/1904.02877.
"""
__all__ = ['SPNASNet', 'spnasnet']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from... | 12,626 | 33.405995 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fastscnn.py | """
Fast-SCNN for image segmentation, implemented in Gluon.
Original paper: 'Fast-SCNN: Fast Semantic Segmentation Network,' https://arxiv.org/abs/1902.04502.
"""
__all__ = ['FastSCNN', 'fastscnn_cityscapes']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from mxnet.gluon.contrib.nn i... | 21,678 | 33.520701 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/res2net.py | """
Res2Net for ImageNet-1K, implemented in Gluon.
Original paper: 'Res2Net: A New Multi-scale Backbone Architecture,' https://arxiv.org/abs/1904.01169.
"""
__all__ = ['Res2Net', 'res2net50_w14_s8', 'res2net50_w26_s8']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from mxnet.gluon.co... | 11,307 | 31.401146 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/darknet.py | """
DarkNet for ImageNet-1K, implemented in Gluon.
Original source: 'Darknet: Open source neural networks in c,' https://github.com/pjreddie/darknet.
"""
__all__ = ['DarkNet', 'darknet_ref', 'darknet_tiny', 'darknet19']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common impor... | 9,154 | 32.17029 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ror_cifar.py | """
RoR-3 for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Residual Networks of Residual Networks: Multilevel Residual Networks,'
https://arxiv.org/abs/1608.02908.
"""
__all__ = ['CIFARRoR', 'ror3_56_cifar10', 'ror3_56_cifar100', 'ror3_56_svhn', 'ror3_110_cifar10', 'ror3_110_cifar100',
'ro... | 19,573 | 33.522046 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/dicenet.py | """
DiCENet for ImageNet-1K, implemented in Gluon.
Original paper: 'DiCENet: Dimension-wise Convolutions for Efficient Networks,' https://arxiv.org/abs/1906.03516.
"""
__all__ = ['DiceNet', 'dicenet_wd5', 'dicenet_wd2', 'dicenet_w3d4', 'dicenet_w1', 'dicenet_w5d4', 'dicenet_w3d2',
'dicenet_w7d8', 'd... | 31,317 | 32.820734 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/nvpattexp.py | """
Neural Voice Puppetry Audio-to-Expression net for speech-driven facial animation, implemented in Gluon.
Original paper: 'Neural Voice Puppetry: Audio-driven Facial Reenactment,' https://arxiv.org/abs/1912.05566.
"""
__all__ = ['NvpAttExp', 'nvpattexp116bazel76']
import os
from mxnet import cpu
from mxnet.... | 9,294 | 33.682836 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/octresnet.py | """
Oct-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave
Convolution,' https://arxiv.org/abs/1904.05049.
"""
__all__ = ['OctResNet', 'octresnet10_ad2', 'octresnet50b_ad2', 'OctResUnit']
import os
from in... | 32,656 | 35.245283 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/alexnet.py | """
AlexNet for ImageNet-1K, implemented in Gluon.
Original paper: 'One weird trick for parallelizing convolutional neural networks,'
https://arxiv.org/abs/1404.5997.
"""
__all__ = ['AlexNet', 'alexnet', 'alexnetb']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common impor... | 9,854 | 29.137615 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/mobilenet_cub.py | """
MobileNet & FD-MobileNet for CUB-200-2011, implemented in Gluon.
Original papers:
- 'MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications,'
https://arxiv.org/abs/1704.04861.
- 'FD-MobileNet: Improved MobileNet with A Fast Downsampling Strategy,' https://arxiv.org... | 7,904 | 35.597222 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/wrn.py | """
WRN for ImageNet-1K, implemented in Gluon.
Original paper: 'Wide Residual Networks,' https://arxiv.org/abs/1605.07146.
"""
__all__ = ['WRN', 'wrn50_2']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
class WRNConv(HybridBlock):
"""
WRN specific convolution block.
Par... | 12,149 | 27.723404 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/inceptionv3.py | """
InceptionV3 for ImageNet-1K, implemented in Gluon.
Original paper: 'Rethinking the Inception Architecture for Computer Vision,'
https://arxiv.org/abs/1512.00567.
"""
__all__ = ['InceptionV3', 'inceptionv3', 'inceptionv3_gl', 'MaxPoolBranch', 'AvgPoolBranch', 'Conv1x1Branch',
'ConvSeqBranch']... | 27,784 | 33.644638 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fdmobilenet.py | """
FD-MobileNet for ImageNet-1K, implemented in Gluon.
Original paper: 'FD-MobileNet: Improved MobileNet with A Fast Downsampling Strategy,'
https://arxiv.org/abs/1802.03750.
"""
__all__ = ['fdmobilenet_w1', 'fdmobilenet_w3d4', 'fdmobilenet_wd2', 'fdmobilenet_wd4', 'get_fdmobilenet']
import os
from mxnet... | 5,360 | 30.910714 | 115 | py |
imgclsmob | imgclsmob-master/gluon/metrics/seg_metrics_nd.py | """
Routines for segmentation metrics on mx.ndarray.
"""
import numpy as np
import mxnet as mx
__all__ = ['seg_pixel_accuracy_nd', 'segm_mean_accuracy', 'segm_mean_iou', 'seg_mean_iou2_nd', 'segm_fw_iou',
'segm_fw_iou2']
def seg_pixel_accuracy_nd(label_imask,
pred_imask,
... | 7,161 | 25.924812 | 109 | py |
imgclsmob | imgclsmob-master/gluon/metrics/seg_metrics.py | """
Evaluation Metrics for Semantic Segmentation.
"""
__all__ = ['PixelAccuracyMetric', 'MeanIoUMetric']
import numpy as np
import mxnet as mx
from .seg_metrics_np import seg_pixel_accuracy_np, seg_mean_iou_imasks_np
from .seg_metrics_nd import seg_pixel_accuracy_nd
class PixelAccuracyMetric(mx.metric.EvalMetric):
... | 11,492 | 35.485714 | 97 | py |
imgclsmob | imgclsmob-master/gluon/metrics/cls_metrics.py | """
Evaluation Metrics for Image Classification.
"""
import mxnet as mx
__all__ = ['Top1Error', 'TopKError']
class Top1Error(mx.metric.Accuracy):
"""
Computes top-1 error (inverted accuracy classification score).
Parameters:
----------
axis : int, default 1
The axis that represents ... | 2,977 | 28.78 | 79 | py |
imgclsmob | imgclsmob-master/gluon/metrics/metrics.py | """
Evaluation metrics for common tasks.
"""
import mxnet as mx
if mx.__version__ < "2.0.0":
from mxnet.metric import EvalMetric
else:
from mxnet.gluon.metric import EvalMetric
__all__ = ['LossValue']
class LossValue(EvalMetric):
"""
Computes simple loss value fake metric.
Parameters:
-... | 1,444 | 25.759259 | 79 | py |
imgclsmob | imgclsmob-master/gluon/metrics/det_metrics.py | """
Evaluation Metrics for Object Detection.
"""
import os
import math
import warnings
import numpy as np
import mxnet as mx
from collections import defaultdict
__all__ = ['CocoDetMApMetric', 'VOC07MApMetric', 'WiderfaceDetMetric']
class CocoDetMApMetric(mx.metric.EvalMetric):
"""
Detection metric for COCO ... | 27,536 | 36.11186 | 119 | py |
imgclsmob | imgclsmob-master/gluon/metrics/hpe_metrics.py | """
Evaluation Metrics for Human Pose Estimation.
"""
import mxnet as mx
__all__ = ['CocoHpeOksApMetric']
class CocoHpeOksApMetric(mx.metric.EvalMetric):
"""
Detection metric for COCO bbox task.
Parameters:
----------
coco_annotations_file_path : str
COCO anotation file path.
pose_p... | 4,037 | 32.371901 | 102 | py |
imgclsmob | imgclsmob-master/gluon/metrics/asr_metrics.py | """
Evaluation Metrics for Automatic Speech Recognition (ASR).
"""
import mxnet as mx
__all__ = ['WER']
class WER(mx.metric.EvalMetric):
"""
Computes Word Error Rate (WER) for Automatic Speech Recognition (ASR).
Parameters:
----------
vocabulary : list of str
Vocabulary of the dataset.
... | 3,800 | 30.413223 | 118 | py |
imgclsmob | imgclsmob-master/gluon/datasets/imagenet1k_cls_dataset.py | """
ImageNet-1K classification dataset.
"""
import os
import math
import mxnet as mx
from mxnet.gluon import HybridBlock
from mxnet.gluon.data.vision import ImageFolderDataset
from mxnet.gluon.data.vision import transforms
from .dataset_metainfo import DatasetMetaInfo
class ImageNet1K(ImageFolderDataset):
""... | 13,686 | 36.705234 | 107 | py |
imgclsmob | imgclsmob-master/gluon/datasets/coco_hpe1_dataset.py | """
COCO keypoint detection (2D single human pose estimation) dataset.
"""
import os
import copy
import cv2
import numpy as np
import mxnet as mx
from mxnet.gluon.data import dataset
from .dataset_metainfo import DatasetMetaInfo
class CocoHpe1Dataset(dataset.Dataset):
"""
COCO keypoint detection (2D sing... | 28,936 | 34.289024 | 119 | py |
imgclsmob | imgclsmob-master/gluon/datasets/widerface_det_dataset.py | """
WIDER FACE detection dataset.
"""
import os
import cv2
import mxnet as mx
import numpy as np
from mxnet.gluon.data import dataset
from .dataset_metainfo import DatasetMetaInfo
__all__ = ['WiderfaceDetMetaInfo']
class WiderfaceDetDataset(dataset.Dataset):
"""
WIDER FACE detection dataset.
Parameters:... | 5,676 | 32.791667 | 119 | py |
imgclsmob | imgclsmob-master/gluon/datasets/coco_det_dataset.py | """
MS COCO object detection dataset.
"""
__all__ = ['CocoDetMetaInfo']
import os
import cv2
import logging
import mxnet as mx
import numpy as np
from PIL import Image
from mxnet.gluon.data import dataset
from .dataset_metainfo import DatasetMetaInfo
class CocoDetDataset(dataset.Dataset):
"""
MS COCO detect... | 27,151 | 35.691892 | 119 | py |
imgclsmob | imgclsmob-master/gluon/datasets/ade20k_seg_dataset.py | """
ADE20K semantic segmentation dataset.
"""
import os
import numpy as np
import mxnet as mx
from PIL import Image
from .seg_dataset import SegDataset
from .voc_seg_dataset import VOCMetaInfo
class ADE20KSegDataset(SegDataset):
"""
ADE20K semantic segmentation dataset.
Parameters:
----------
... | 4,339 | 34 | 93 | py |
imgclsmob | imgclsmob-master/gluon/datasets/dataset_metainfo.py | """
Base dataset metainfo class.
"""
import os
class DatasetMetaInfo(object):
"""
Base descriptor of dataset.
"""
def __init__(self):
self.use_imgrec = False
self.do_transform = False
self.do_transform_first = True
self.last_batch = None
self.batchify_fn =... | 3,226 | 29.158879 | 85 | py |
imgclsmob | imgclsmob-master/gluon/datasets/seg_dataset.py | import random
import numpy as np
import mxnet as mx
from PIL import Image, ImageOps, ImageFilter
from mxnet.gluon.data import dataset
class SegDataset(dataset.Dataset):
"""
Segmentation base dataset.
Parameters:
----------
root : str
Path to data folder.
mode : str
'train', 'v... | 3,490 | 34.622449 | 94 | py |
imgclsmob | imgclsmob-master/gluon/datasets/coco_hpe2_dataset.py | """
COCO keypoint detection (2D multiple human pose estimation) dataset (for Lightweight OpenPose).
"""
import os
import json
import math
import cv2
from operator import itemgetter
import numpy as np
from mxnet.gluon.data import dataset
from .dataset_metainfo import DatasetMetaInfo
class CocoHpe2Dataset(dataset.... | 20,786 | 39.8389 | 119 | py |
imgclsmob | imgclsmob-master/gluon/datasets/svhn_cls_dataset.py | """
SVHN classification dataset.
"""
import os
import numpy as np
import mxnet as mx
from mxnet import gluon
from mxnet.gluon.utils import download, check_sha1
from .cifar10_cls_dataset import CIFAR10MetaInfo
class SVHN(gluon.data.dataset._DownloadedDataset):
"""
SVHN image classification dataset from ht... | 2,574 | 35.785714 | 113 | py |
imgclsmob | imgclsmob-master/gluon/datasets/coco_hpe3_dataset.py | """
COCO keypoint detection (2D multiple human pose estimation) dataset (for IBPPose).
"""
import os
# import json
import math
import cv2
import numpy as np
from mxnet.gluon.data import dataset
from .dataset_metainfo import DatasetMetaInfo
class CocoHpe3Dataset(dataset.Dataset):
"""
COCO keypoint detecti... | 23,125 | 40.003546 | 120 | py |
imgclsmob | imgclsmob-master/gluon/datasets/imagenet1k_rec_cls_dataset.py | """
ImageNet-1K classification dataset (via MXNet image record iterators).
"""
import os
import mxnet as mx
from .imagenet1k_cls_dataset import ImageNet1KMetaInfo, calc_val_resize_value
class ImageNet1KRecMetaInfo(ImageNet1KMetaInfo):
def __init__(self):
super(ImageNet1KRecMetaInfo, self).__init__()
... | 3,974 | 38.75 | 103 | py |
imgclsmob | imgclsmob-master/gluon/datasets/asr_dataset.py | """
Automatic Speech Recognition (ASR) abstract dataset.
"""
__all__ = ['AsrDataset', 'asr_test_transform']
from mxnet.gluon.data import dataset
from mxnet.gluon.data.vision import transforms
from gluon.gluoncv2.models.jasper import NemoAudioReader
class AsrDataset(dataset.Dataset):
"""
Automatic Speech... | 1,358 | 26.18 | 68 | py |
imgclsmob | imgclsmob-master/gluon/datasets/cifar10_cls_dataset.py | """
CIFAR-10 classification dataset.
"""
import os
import numpy as np
import mxnet as mx
from mxnet.gluon import Block
from mxnet.gluon.data.vision import CIFAR10
from mxnet.gluon.data.vision import transforms
from .dataset_metainfo import DatasetMetaInfo
class CIFAR10Fine(CIFAR10):
"""
CIFAR-10 image cl... | 4,585 | 32.474453 | 91 | py |
imgclsmob | imgclsmob-master/gluon/datasets/cub200_2011_cls_dataset.py | """
CUB-200-2011 classification dataset.
"""
import os
import numpy as np
import pandas as pd
import mxnet as mx
from mxnet.gluon.data import dataset
from .imagenet1k_cls_dataset import ImageNet1KMetaInfo
class CUB200_2011(dataset.Dataset):
"""
CUB-200-2011 fine-grained classification dataset.
Param... | 4,865 | 35.586466 | 94 | py |
imgclsmob | imgclsmob-master/gluon/datasets/mcv_asr_dataset.py | """
Mozilla Common Voice ASR dataset.
"""
__all__ = ['McvDataset', 'McvMetaInfo']
import os
import re
import numpy as np
import pandas as pd
from .dataset_metainfo import DatasetMetaInfo
from .asr_dataset import AsrDataset, asr_test_transform
class McvDataset(AsrDataset):
"""
Mozilla Common Voice datase... | 14,293 | 41.924925 | 119 | py |
imgclsmob | imgclsmob-master/gluon/datasets/cityscapes_seg_dataset.py | """
Cityscapes semantic segmentation dataset.
"""
import os
import numpy as np
import mxnet as mx
from PIL import Image
from .seg_dataset import SegDataset
from .voc_seg_dataset import VOCMetaInfo
class CityscapesSegDataset(SegDataset):
"""
Cityscapes semantic segmentation dataset.
Parameters:
-... | 5,110 | 36.306569 | 105 | py |
imgclsmob | imgclsmob-master/gluon/datasets/coco_seg_dataset.py | """
COCO semantic segmentation dataset.
"""
import os
import logging
import numpy as np
import mxnet as mx
from PIL import Image
from tqdm import trange
from .seg_dataset import SegDataset
from .voc_seg_dataset import VOCMetaInfo
class CocoSegDataset(SegDataset):
"""
COCO semantic segmentation dataset.
... | 6,102 | 35.54491 | 117 | py |
imgclsmob | imgclsmob-master/gluon/datasets/voc_seg_dataset.py | """
Pascal VOC2012 semantic segmentation dataset.
"""
import os
import numpy as np
import mxnet as mx
from PIL import Image
from mxnet.gluon.data.vision import transforms
from .seg_dataset import SegDataset
from .dataset_metainfo import DatasetMetaInfo
class VOCSegDataset(SegDataset):
"""
Pascal VOC2012 ... | 6,554 | 34.625 | 90 | py |
imgclsmob | imgclsmob-master/gluon/datasets/cifar100_cls_dataset.py | """
CIFAR-100 classification dataset.
"""
import os
from mxnet.gluon.data.vision import CIFAR100
from .cifar10_cls_dataset import CIFAR10MetaInfo
class CIFAR100Fine(CIFAR100):
"""
CIFAR-100 image classification dataset.
Parameters:
----------
root : str, default $MXNET_HOME/datasets/cifar10... | 1,133 | 26 | 74 | py |
imgclsmob | imgclsmob-master/gluon/datasets/hpatches_mch_dataset.py | """
HPatches image matching dataset.
"""
import os
import cv2
import numpy as np
import mxnet as mx
from mxnet.gluon.data import dataset
from mxnet.gluon.data.vision import transforms
from .dataset_metainfo import DatasetMetaInfo
class HPatches(dataset.Dataset):
"""
HPatches (full image sequences) image ... | 5,163 | 33.198675 | 101 | py |
imgclsmob | imgclsmob-master/pytorch/dataset_utils.py | """
Dataset routines.
"""
__all__ = ['get_dataset_metainfo', 'get_train_data_source', 'get_val_data_source', 'get_test_data_source']
from .datasets.imagenet1k_cls_dataset import ImageNet1KMetaInfo
from .datasets.cub200_2011_cls_dataset import CUB200MetaInfo
from .datasets.cifar10_cls_dataset import CIFAR10MetaInf... | 5,563 | 29.404372 | 113 | py |
imgclsmob | imgclsmob-master/pytorch/model_stats.py | """
Routines for model statistics calculation.
"""
import logging
import numpy as np
import torch
import torch.nn as nn
from torch.autograd import Variable
from .pytorchcv.models.common import ChannelShuffle, ChannelShuffle2, Identity, Flatten, Swish, HSigmoid, HSwish,\
InterpolationBlock, HeatmapMaxDetBlock
f... | 12,391 | 37.01227 | 114 | py |
imgclsmob | imgclsmob-master/pytorch/setup.py | from setuptools import setup, find_packages
from os import path
from io import open
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='pytorchcv',
version='0.0.67',
description='Image classification and s... | 1,571 | 42.666667 | 120 | py |
imgclsmob | imgclsmob-master/pytorch/utils.py | """
Main routines shared between training and evaluation scripts.
"""
import logging
import os
import numpy as np
import torch.utils.data
from .pytorchcv.model_provider import get_model
from .metrics.metric import EvalMetric, CompositeEvalMetric
from .metrics.cls_metrics import Top1Error, TopKError
from .metrics.s... | 8,538 | 26.996721 | 116 | py |
imgclsmob | imgclsmob-master/pytorch/metrics/seg_metrics.py | """
Evaluation Metrics for Semantic Segmentation.
"""
import numpy as np
import torch
from .metric import EvalMetric, check_label_shapes
from .seg_metrics_np import seg_pixel_accuracy_np, seg_mean_iou_imasks_np
__all__ = ['PixelAccuracyMetric', 'MeanIoUMetric']
class PixelAccuracyMetric(EvalMetric):
"""
Com... | 9,276 | 33.106618 | 100 | py |
imgclsmob | imgclsmob-master/pytorch/metrics/ret_metrics.py | """
Evaluation Metrics for Image Retrieval.
"""
import numpy as np
import torch
from .metric import EvalMetric
__all__ = ['PointDetectionMatchRatio', 'PointDescriptionMatchRatio']
class PointDetectionMatchRatio(EvalMetric):
"""
Computes point detection match ratio (with mean residual).
Parameters:
... | 17,535 | 34.56998 | 113 | py |
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