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imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/dabnet.py | """
DABNet for image segmentation, implemented in TensorFlow.
Original paper: 'DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation,'
https://arxiv.org/abs/1907.11357.
"""
__all__ = ['DABNet', 'dabnet_cityscapes']
import os
import tensorflow as tf
import tensorflow.keras.layers as ... | 20,630 | 31.592417 | 120 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/cgnet.py | """
CGNet for image segmentation, implemented in TensorFlow.
Original paper: 'CGNet: A Light-weight Context Guided Network for Semantic Segmentation,'
https://arxiv.org/abs/1811.08201.
"""
__all__ = ['CGNet', 'cgnet_cityscapes']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .... | 16,751 | 31.528155 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/fbnet.py | """
FBNet for ImageNet-1K, implemented in TensorFlow.
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
import tensorflow as tf
import tensorflow.keras.layers as nn... | 11,383 | 32.581121 | 116 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/visemenet.py | """
VisemeNet for speech-driven facial animation, implemented in TensorFlow.
Original paper: 'VisemeNet: Audio-Driven Animator-Centric Speech Animation,' https://arxiv.org/abs/1805.09488.
"""
__all__ = ['VisemeNet', 'visemenet20']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .co... | 10,166 | 33.11745 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/mobilenetv3.py | """
MobileNetV3 for ImageNet-1K, implemented in TensorFlow.
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', 'mo... | 20,951 | 34.572156 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/lffd.py | """
LFFD for face detection, implemented in TensorFlow.
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
import tensorflow as tf
import tensorflow.keras.layers as ... | 12,116 | 32.658333 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/sepreresnet.py | """
SE-PreResNet for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['SEPreResNet', 'sepreresnet10', 'sepreresnet12', 'sepreresnet14', 'sepreresnet16', 'sepreresnet18',
'sepreresnet26', 'sepreresnetbc26b', 's... | 19,413 | 33.361062 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/resnext.py | """
ResNeXt for ImageNet-1K, implemented in TensorFlow.
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... | 16,041 | 32.560669 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/jasper.py | """
Jasper/DR for ASR, implemented in TensorFlow.
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', 'C... | 39,745 | 32.176962 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/resneta.py | """
ResNet(A) with average downsampling for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385.
"""
__all__ = ['ResNetA', 'resneta10', 'resnetabc14b', 'resneta18', 'resneta50b', 'resneta101b', 'resneta152b']
import os
import... | 15,634 | 33.667406 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/resnesta.py | """
ResNeSt(A) with average downsampling for ImageNet-1K, implemented in TensorFlow.
Original paper: 'ResNeSt: Split-Attention Networks,' https://arxiv.org/abs/2004.08955.
"""
__all__ = ['ResNeStA', 'resnestabc14', 'resnesta18', 'resnestabc26', 'resnesta50', 'resnesta101', 'resnesta152',
'resnesta20... | 19,800 | 32.561017 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/senet.py | """
SENet for ImageNet-1K, implemented in TensorFlow.
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
import tensorflow as tf
import tensorflow.... | 15,060 | 30.574423 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/simplepose_coco.py | """
SimplePose for COCO Keypoint, implemented in TensorFlow.
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_re... | 15,180 | 40.252717 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/vovnet.py | """
VoVNet for ImageNet-1K, implemented in TensorFlow.
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
import tensorflow as tf
import tensorf... | 11,511 | 31.519774 | 120 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/espnetv2.py | """
ESPNetv2 for ImageNet-1K, implemented in TensorFlow.
Original paper: 'ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network,'
https://arxiv.org/abs/1811.11431.
NB: not ready.
"""
__all__ = ['ESPNetv2', 'espnetv2_wd2', 'espnetv2_w1', 'espnetv2_w5d4', 'espnetv2_w... | 20,454 | 32.260163 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/shufflenet.py | """
ShuffleNet for ImageNet-1K, implemented in TensorFlow.
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',
... | 17,521 | 33.089494 | 120 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/bamresnet.py | """
BAM-ResNet for ImageNet-1K, implemented in TensorFlow.
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
import tensorflow as tf
import tensorflow.ker... | 15,973 | 30.757455 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/centernet.py | """
CenterNet for ImageNet-1K, implemented in TensorFlow.
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', 'center... | 20,073 | 35.039497 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/proxylessnas_cub.py | """
ProxylessNAS for CUB-200-2011, implemented in TensorFlow.
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... | 4,145 | 34.741379 | 120 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/ibnresnet.py | """
IBN-ResNet for ImageNet-1K, implemented in TensorFlow.
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
import tensorflow as tf
import t... | 14,465 | 31.290179 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/common.py | """
Common routines for models in TensorFlow 2.0.
"""
__all__ = ['is_channels_first', 'get_channel_axis', 'round_channels', 'get_im_size', 'interpolate_im', 'BreakBlock',
'ReLU6', 'HSwish', 'PReLU2', 'get_activation_layer', 'flatten', 'MaxPool2d', 'AvgPool2d', 'GlobalAvgPool2d',
'BatchNorm', ... | 116,234 | 32.858142 | 120 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/lwopenpose_cmupan.py | """
Lightweight OpenPose 2D/3D for CMU Panoptic, implemented in TensorFlow.
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',
... | 26,896 | 34.344284 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/jasperdr.py | """
Jasper DR (Dense Residual) for ASR, implemented in TensorFlow.
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
from .common import is_channels_first
def j... | 3,268 | 33.410526 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/deeplabv3.py | """
DeepLabv3 for image segmentation, implemented in TensorFlow.
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',
'deepl... | 26,559 | 40.178295 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/fpenet.py | """
FPENet for image segmentation, implemented in TensorFlow.
Original paper: 'Feature Pyramid Encoding Network for Real-time Semantic Segmentation,'
https://arxiv.org/abs/1909.08599.
"""
__all__ = ['FPENet', 'fpenet_cityscapes']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from ... | 15,897 | 31.378819 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/model_store.py | """
Model store which provides pretrained models.
"""
__all__ = ['get_model_file']
import os
import zipfile
import logging
import hashlib
_model_sha1 = {name: (error, checksum, repo_release_tag, ds, scale) for
name, error, checksum, repo_release_tag, ds, scale in [
('alexnet', '1609', '8ae4618... | 66,178 | 85.849081 | 140 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/fastseresnet.py | """
Fast-SE-ResNet for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['FastSEResNet', 'fastseresnet101b']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import conv1x1_block, SEBlo... | 10,194 | 31.887097 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/ibnbresnet.py | """
IBN(b)-ResNet for ImageNet-1K, implemented in TensorFlow.
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
import tensorflow as tf
i... | 13,824 | 31.377049 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/polynet.py | """
PolyNet for ImageNet-1K, implemented in TensorFlow.
Original paper: 'PolyNet: A Pursuit of Structural Diversity in Very Deep Networks,'
https://arxiv.org/abs/1611.05725.
"""
__all__ = ['PolyNet', 'polynet']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import MaxP... | 37,828 | 30.576795 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/resnet_cifar.py | """
ResNet for CIFAR/SVHN, implemented in TensorFlow.
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',
... | 23,420 | 35.883465 | 120 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/nasnet.py | """
NASNet-A for ImageNet-1K, implemented in TensorFlow.
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
import tensorflow as tf
impor... | 52,300 | 31.047181 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/resnext_cifar.py | """
ResNeXt for CIFAR/SVHN, implemented in TensorFlow.
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_cifar... | 65,482 | 38.904327 | 116 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/densenet_cifar.py | """
DenseNet for CIFAR/SVHN, implemented in TensorFlow.
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_k... | 30,185 | 37.16182 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/bninception.py | """
BN-Inception for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift,'
https://arxiv.org/abs/1502.03167.
"""
__all__ = ['BNInception', 'bninception']
import os
import tensorflow as tf
import tensorflow.ke... | 19,733 | 31.726368 | 117 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/zfnet.py | """
ZFNet for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Visualizing and Understanding Convolutional Networks,' https://arxiv.org/abs/1311.2901.
"""
__all__ = ['zfnet', 'zfnetb']
import os
import tensorflow as tf
from .alexnet import AlexNet
def get_zfnet(version="a",
model_name=... | 3,844 | 29.275591 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/peleenet.py | """
PeleeNet for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Pelee: A Real-Time Object Detection System on Mobile Devices,' https://arxiv.org/abs/1804.06882.
"""
__all__ = ['PeleeNet', 'peleenet']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import conv1x1_b... | 13,598 | 30.552204 | 117 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/__init__.py | 0 | 0 | 0 | py | |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/ibppose_coco.py | """
IBPPose for COCO Keypoint, implemented in TensorFlow.
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
import tensorflow as tf
import tensorflow.keras.lay... | 22,000 | 31.402062 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/xception.py | """
Xception for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Xception: Deep Learning with Depthwise Separable Convolutions,' https://arxiv.org/abs/1610.02357.
"""
__all__ = ['Xception', 'xception']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import Conv2d, ... | 14,191 | 30.191209 | 118 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/darknet53.py | """
DarkNet-53 for ImageNet-1K, implemented in TensorFlow.
Original source: 'YOLOv3: An Incremental Improvement,' https://arxiv.org/abs/1804.02767.
"""
__all__ = ['DarkNet53', 'darknet53']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import conv1x1_block, conv3x3_block, ... | 7,225 | 31.54955 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/mobilenet.py | """
MobileNet for ImageNet-1K, implemented in TensorFlow.
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']
... | 8,450 | 33.493878 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/dpn.py | """
DPN for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Dual Path Networks,' https://arxiv.org/abs/1707.01629.
"""
__all__ = ['DPN', 'dpn68', 'dpn68b', 'dpn98', 'dpn107', 'dpn131']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import MaxPool2d, GlobalAvgPool2... | 23,478 | 30.056878 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/sknet.py | """
SKNet for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Selective Kernel Networks,' https://arxiv.org/abs/1903.06586.
"""
__all__ = ['SKNet', 'sknet50', 'sknet101', 'sknet152']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import conv1x1, conv1x1_block, con... | 13,222 | 31.09466 | 117 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/spnasnet.py | """
Single-Path NASNet for ImageNet-1K, implemented in TensorFlow.
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
import tensorflow as tf
import tensorflow.keras.layers as nn
... | 12,190 | 32.491758 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/fastscnn.py | """
Fast-SCNN for image segmentation, implemented in TensorFlow.
Original paper: 'Fast-SCNN: Fast Semantic Segmentation Network,' https://arxiv.org/abs/1902.04502.
"""
__all__ = ['FastSCNN', 'fastscnn_cityscapes']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import conv1... | 19,829 | 31.831126 | 116 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/darknet.py | """
DarkNet for ImageNet-1K, implemented in TensorFlow.
Original source: 'Darknet: Open source neural networks in c,' https://github.com/pjreddie/darknet.
"""
__all__ = ['DarkNet', 'darknet_ref', 'darknet_tiny', 'darknet19']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common i... | 8,916 | 32.148699 | 116 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/dicenet.py | """
DiCENet for ImageNet-1K, implemented in TensorFlow.
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... | 29,544 | 31.431394 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/nvpattexp.py | """
Neural Voice Puppetry Audio-to-Expression net for speech-driven facial animation, implemented in TensorFlow.
Original paper: 'Neural Voice Puppetry: Audio-driven Facial Reenactment,' https://arxiv.org/abs/1912.05566.
"""
__all__ = ['NvpAttExp', 'nvpattexp116bazel76']
import os
import tensorflow as tf
impo... | 10,488 | 34.435811 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/alexnet.py | """
AlexNet for ImageNet-1K, implemented in TensorFlow.
Original paper: 'One weird trick for parallelizing convolutional neural networks,'
https://arxiv.org/abs/1404.5997.
"""
__all__ = ['AlexNet', 'alexnet', 'alexnetb']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common i... | 10,247 | 29.960725 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/mobilenet_cub.py | """
MobileNet & FD-MobileNet for CUB-200-2011, implemented in TensorFlow.
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://arxi... | 7,245 | 35.969388 | 120 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/wrn.py | """
WRN for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Wide Residual Networks,' https://arxiv.org/abs/1605.07146.
"""
__all__ = ['WRN', 'wrn50_2']
import os
import tensorflow as tf
import tensorflow.keras.layers as nn
from .common import Conv2d, MaxPool2d, SimpleSequential, flatten, is_channels_... | 13,742 | 28.941176 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/inceptionv3.py | """
InceptionV3 for ImageNet-1K, implemented in TensorFlow.
Original paper: 'Rethinking the Inception Architecture for Computer Vision,'
https://arxiv.org/abs/1512.00567.
"""
__all__ = ['InceptionV3', 'inceptionv3', 'MaxPoolBranch', 'AvgPoolBranch', 'Conv1x1Branch', 'ConvSeqBranch']
import os
import tenso... | 26,989 | 31.715152 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/tf2cv/models/fdmobilenet.py | """
FD-MobileNet for ImageNet-1K, implemented in TensorFlow.
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
impor... | 4,966 | 31.677632 | 115 | py |
imgclsmob | imgclsmob-master/tensorflow2/metrics/seg_metrics_np.py | """
Routines for segmentation metrics on numpy.
"""
import numpy as np
__all__ = ['seg_pixel_accuracy_np', 'segm_mean_accuracy_hmasks', 'segm_mean_accuracy', 'seg_mean_iou_np',
'segm_mean_iou2', 'seg_mean_iou_imasks_np', 'segm_fw_iou_hmasks', 'segm_fw_iou']
def seg_pixel_accuracy_np(label_imask,
... | 11,447 | 25.5 | 109 | py |
imgclsmob | imgclsmob-master/tensorflow2/metrics/seg_metrics.py | """
Evaluation Metrics for Semantic Segmentation.
"""
import numpy as np
from .metric import EvalMetric
from .seg_metrics_np import seg_pixel_accuracy_np, seg_mean_iou_imasks_np
__all__ = ['PixelAccuracyMetric', 'MeanIoUMetric']
class PixelAccuracyMetric(EvalMetric):
"""
Computes the pixel-wise accuracy.
... | 8,898 | 32.081784 | 88 | py |
imgclsmob | imgclsmob-master/tensorflow2/metrics/cls_metrics.py | """
Evaluation Metrics for Image Classification.
"""
import tensorflow as tf
from .metric import EvalMetric
__all__ = ['Top1Error', 'TopKError']
class Accuracy(EvalMetric):
"""
Computes accuracy classification score.
Parameters:
----------
axis : int, default 1
The axis that represents ... | 6,552 | 29.621495 | 95 | py |
imgclsmob | imgclsmob-master/tensorflow2/metrics/__init__.py | 0 | 0 | 0 | py | |
imgclsmob | imgclsmob-master/tensorflow2/metrics/det_metrics.py | """
Evaluation Metrics for Object Detection.
"""
import warnings
import numpy as np
import mxnet as mx
__all__ = ['CocoDetMApMetric']
class CocoDetMApMetric(mx.metric.EvalMetric):
"""
Detection metric for COCO bbox task.
Parameters:
----------
img_height : int
Processed image height.
... | 8,392 | 38.219626 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/metrics/hpe_metrics.py | """
Evaluation Metrics for Human Pose Estimation.
"""
from .metric import EvalMetric
__all__ = ['CocoHpeOksApMetric']
class CocoHpeOksApMetric(EvalMetric):
"""
Detection metric for COCO bbox task.
Parameters:
----------
coco_annotations_file_path : str
COCO anotation file path.
pose... | 3,920 | 31.675 | 98 | py |
imgclsmob | imgclsmob-master/tensorflow2/metrics/metric.py | """
Several base metrics.
"""
__all__ = ['EvalMetric', 'CompositeEvalMetric', 'check_label_shapes']
from collections import OrderedDict
def check_label_shapes(labels, preds, shape=False):
"""
Helper function for checking shape of label and prediction.
Parameters:
----------
labels : list of... | 9,241 | 27.176829 | 117 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/imagenet1k_cls_dataset.py | """
ImageNet-1K classification dataset.
"""
__all__ = ['ImageNet1KMetaInfo', 'load_image_imagenet1k_val']
import os
import math
import cv2
import numpy as np
from PIL import Image
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import keras_preprocessing as keras_prep
from .dataset_metainfo im... | 11,999 | 30.496063 | 116 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/coco_hpe1_dataset.py | """
COCO keypoint detection (2D single human pose estimation) dataset.
"""
import os
import threading
import copy
import cv2
import numpy as np
from tensorflow.keras.preprocessing.image import ImageDataGenerator, DirectoryIterator
from .dataset_metainfo import DatasetMetaInfo
class CocoHpe1Dataset(object):
"... | 37,195 | 33.282028 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/ade20k_seg_dataset.py | """
ADE20K semantic segmentation dataset.
"""
import os
import numpy as np
from PIL import Image
from .seg_dataset import SegDataset
from .voc_seg_dataset import VOCMetaInfo
class ADE20KSegDataset(SegDataset):
"""
ADE20K semantic segmentation dataset.
Parameters:
----------
root : str
... | 4,291 | 33.894309 | 93 | py |
imgclsmob | imgclsmob-master/tensorflow2/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.label = None
self.root_dir_name = None
self.root_dir_path = None
self.dataset_class = None
... | 2,733 | 27.778947 | 72 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/seg_dataset.py | import random
import threading
import numpy as np
from PIL import Image, ImageOps, ImageFilter
from tensorflow.keras.preprocessing.image import ImageDataGenerator, DirectoryIterator
class SegDataset(object):
"""
Segmentation base dataset.
Parameters:
----------
root : str
Path to data fol... | 7,631 | 33.378378 | 89 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/coco_hpe2_dataset.py | """
COCO keypoint detection (2D multiple human pose estimation) dataset (for Lightweight OpenPose).
"""
import os
import json
import math
import threading
import cv2
from operator import itemgetter
import numpy as np
from tensorflow.keras.preprocessing.image import ImageDataGenerator, DirectoryIterator
from .datas... | 27,367 | 37.011111 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/svhn_cls_dataset.py | """
SVHN classification dataset.
"""
import os
import hashlib
import numpy as np
from .cifar10_cls_dataset import CIFAR10MetaInfo
def _download(url, path=None, overwrite=False, sha1_hash=None, retries=5, verify_ssl=True):
"""Download an given URL
Parameters:
----------
url : str
URL to d... | 7,496 | 30.902128 | 103 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/coco_hpe3_dataset.py | """
COCO keypoint detection (2D multiple human pose estimation) dataset (for IBPPose).
"""
import os
import threading
import math
import cv2
import numpy as np
from tensorflow.keras.preprocessing.image import ImageDataGenerator, DirectoryIterator
from .dataset_metainfo import DatasetMetaInfo
class CocoHpe3Datase... | 29,689 | 37.408797 | 120 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/cls_dataset.py | """
Classification dataset routines.
"""
__all__ = ['img_normalization']
import numpy as np
def img_normalization(img,
mean_rgb,
std_rgb):
"""
Normalization as in the ImageNet-1K validation procedure.
Parameters:
----------
img : np.array
... | 735 | 20.028571 | 61 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/cifar10_cls_dataset.py | """
CIFAR-10 classification dataset.
"""
from tensorflow.keras.datasets import cifar10
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from .dataset_metainfo import DatasetMetaInfo
from .cls_dataset import img_normalization
class CIFAR10MetaInfo(DatasetMetaInfo):
def __init__(self):
... | 4,434 | 27.798701 | 67 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/__init__.py | 0 | 0 | 0 | py | |
imgclsmob | imgclsmob-master/tensorflow2/datasets/cub200_2011_cls_dataset.py | """
CUB-200-2011 classification dataset.
"""
import os
import numpy as np
import pandas as pd
import threading
from tensorflow.keras.preprocessing.image import ImageDataGenerator, DirectoryIterator
from .cls_dataset import img_normalization
from .imagenet1k_cls_dataset import ImageNet1KMetaInfo
class CUBDirector... | 10,350 | 32.070288 | 119 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/cityscapes_seg_dataset.py | """
Cityscapes semantic segmentation dataset.
"""
import os
import numpy as np
from PIL import Image
from .seg_dataset import SegDataset
from .voc_seg_dataset import VOCMetaInfo
class CityscapesSegDataset(SegDataset):
"""
Cityscapes semantic segmentation dataset.
Parameters:
----------
root ... | 5,121 | 36.386861 | 105 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/coco_seg_dataset.py | """
COCO semantic segmentation dataset.
"""
import os
import logging
import numpy as np
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.
Parameters:
... | 5,682 | 34.298137 | 112 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/voc_seg_dataset.py | """
Pascal VOC2012 semantic segmentation dataset.
"""
import os
import numpy as np
from PIL import Image
from chainer import get_dtype
from .seg_dataset import SegDataset, SegImageDataGenerator
from .dataset_metainfo import DatasetMetaInfo
class VOCSegDataset(SegDataset):
"""
Pascal VOC2012 semantic segm... | 11,479 | 30.195652 | 96 | py |
imgclsmob | imgclsmob-master/tensorflow2/datasets/cifar100_cls_dataset.py | """
CIFAR-100 classification dataset.
"""
from tensorflow.keras.datasets import cifar100
from .cifar10_cls_dataset import CIFAR10MetaInfo
class CIFAR100MetaInfo(CIFAR10MetaInfo):
def __init__(self):
super(CIFAR100MetaInfo, self).__init__()
self.label = "CIFAR100"
self.root_dir_name = ... | 1,963 | 24.179487 | 55 | py |
imgclsmob | imgclsmob-master/common/logger_utils.py | """
Routines for logging subsystem initialization.
"""
__all__ = ['initialize_logging']
import os
import sys
import logging
from .env_stats import get_env_stats
def prepare_logger(logging_dir_path,
logging_file_name):
"""
Prepare logger.
Parameters:
----------
logging_dir... | 2,723 | 28.608696 | 118 | py |
imgclsmob | imgclsmob-master/common/train_log_param_saver.py | import os
import shutil
class TrainLogParamSaver(object):
"""
Train logger does the following:
1. save several the last model checkpoints, for disaster recovery,
2. save several the best model checkpoints, to prevent overfitting,
3. save pure evaluation metric values to log-file for observer.
... | 11,279 | 47 | 111 | py |
imgclsmob | imgclsmob-master/common/__init__.py | 0 | 0 | 0 | py | |
imgclsmob | imgclsmob-master/common/env_stats.py | """
Routines for logging environment setting.
"""
__all__ = ['get_env_stats']
import os
import sys
import subprocess
import platform
import json
def get_pip_versions(package_list,
python_version=""):
"""
Get packages information by using 'pip show' command.
Parameters:
----... | 5,041 | 25.397906 | 111 | py |
imgclsmob | imgclsmob-master/examples/demo_tf2.py | """
Script for evaluating trained model on TensorFlow 2.0 / ImageNet-1K (demo mode).
"""
import math
import argparse
import numpy as np
import cv2
import tensorflow as tf
from gluoncv.data import ImageNet1kAttr
from tf2cv.model_provider import get_model as tf2cv_get_model
def parse_args():
"""
Create pyt... | 3,799 | 27.571429 | 119 | py |
imgclsmob | imgclsmob-master/examples/convert_tf2_to_tfl.py | """
Script for converting trained model from TensorFlow 2.0 to TensorFlow Lite.
"""
import argparse
import numpy as np
import tensorflow as tf
from tf2cv.model_provider import get_model as tf2cv_get_model
from tensorflow2.utils import prepare_model
def parse_args():
"""
Create python script parameters.
... | 3,835 | 29.204724 | 106 | py |
imgclsmob | imgclsmob-master/examples/demo_pt.py | """
Script for evaluating trained model on PyTorch / ImageNet-1K (demo mode).
"""
import math
import argparse
import numpy as np
import cv2
import torch
from gluoncv.data import ImageNet1kAttr
from pytorchcv.model_provider import get_model as ptcv_get_model
def parse_args():
"""
Create python script para... | 3,876 | 27.094203 | 119 | py |
imgclsmob | imgclsmob-master/examples/demo_gl.py | """
Script for evaluating trained model on MXNet/Gluon / ImageNet-1K (demo mode).
"""
import math
import argparse
import numpy as np
import cv2
import mxnet as mx
from gluoncv.data import ImageNet1kAttr
from gluoncv2.model_provider import get_model as glcv2_get_model
def parse_args():
"""
Create python s... | 3,841 | 27.887218 | 119 | py |
imgclsmob | imgclsmob-master/other/train_pt_cifar-.py | import argparse
import time
import logging
import os
import warnings
import random
import numpy as np
import torch.nn as nn
import torch.backends.cudnn as cudnn
import torch.utils.data
from common.logger_utils import initialize_logging
from common.train_log_param_saver import TrainLogParamSaver
from pytorch.cifar1 im... | 15,172 | 30.092213 | 105 | py |
imgclsmob | imgclsmob-master/other/train_gl_seg.py | import os
import shutil
import argparse
from tqdm import tqdm
import mxnet as mx
from mxnet import gluon, autograd
from mxnet.gluon.data.vision import transforms
import gluoncv
from gluoncv.loss import MixSoftmaxCrossEntropyLoss
from gluoncv.utils import LRScheduler
from gluoncv.model_zoo.segbase import get_segmentat... | 9,856 | 43.201794 | 120 | py |
imgclsmob | imgclsmob-master/other/train_gl_cifar-.py | import argparse
import time
import logging
import os
import numpy as np
import random
import mxnet as mx
from mxnet import gluon
from mxnet import autograd as ag
from common.logger_utils import initialize_logging
from common.train_log_param_saver import TrainLogParamSaver
from gluon.lr_scheduler import LRScheduler
fr... | 22,007 | 31.798808 | 119 | py |
imgclsmob | imgclsmob-master/other/eval_ch_cifar-.py | import argparse
import time
import logging
import numpy as np
from chainer import cuda, global_config
import chainer.functions as F
from chainercv.utils import apply_to_iterator
from chainercv.utils import ProgressHook
from common.logger_utils import initialize_logging
from chainer_.utils import prepare_model
from c... | 4,640 | 25.52 | 85 | py |
imgclsmob | imgclsmob-master/other/eval_pt_seg-.py | import argparse
import time
import logging
from common.logger_utils import initialize_logging
from pytorch.model_stats import measure_model
from pytorch.seg_utils import add_dataset_parser_arguments, get_test_data_loader, get_metainfo, validate1
from pytorch.utils import prepare_pt_context, prepare_model, calc_net_wei... | 7,218 | 33.706731 | 111 | py |
imgclsmob | imgclsmob-master/other/eval_ch_seg-.py | import argparse
import time
import logging
from chainer import cuda, global_config
from chainer import iterators
from chainercv.utils import apply_to_iterator
from chainercv.utils import ProgressHook
from common.logger_utils import initialize_logging
from chainer_.utils import prepare_model
from chainer_.seg_utils1 ... | 5,996 | 28.835821 | 107 | py |
imgclsmob | imgclsmob-master/other/eval_gl_mch.py | """
Script for evaluating trained image matching model on MXNet/Gluon (under development).
"""
import os
import time
import logging
import argparse
import numpy as np
import mxnet as mx
from mxnet.gluon.utils import split_and_load
from common.logger_utils import initialize_logging
from gluon.utils import prepare_m... | 9,800 | 30.213376 | 116 | py |
imgclsmob | imgclsmob-master/other/__init__.py | 0 | 0 | 0 | py | |
imgclsmob | imgclsmob-master/other/eval_gl_seg-.py | import os
import argparse
import time
import logging
import mxnet as mx
from common.logger_utils import initialize_logging
from gluon.utils import prepare_mx_context, prepare_model, calc_net_weight_count
from gluon.model_stats import measure_model
from gluon.seg_utils1 import add_dataset_parser_arguments, get_metainfo
... | 7,626 | 32.897778 | 111 | py |
imgclsmob | imgclsmob-master/other/eval_pt_cifar-.py | import argparse
import time
import logging
from common.logger_utils import initialize_logging
from pytorch.model_stats import measure_model
from pytorch.cifar1 import add_dataset_parser_arguments, get_val_data_loader
from pytorch.utils import prepare_pt_context, prepare_model, calc_net_weight_count, validate1, Average... | 5,894 | 30.524064 | 107 | py |
imgclsmob | imgclsmob-master/other/eval_ch_in1k-.py | import math
import time
import logging
import argparse
import numpy as np
from chainer import cuda, global_config
import chainer.functions as F
from chainercv.utils import apply_to_iterator
from chainercv.utils import ProgressHook
from common.logger_utils import initialize_logging
from chainer_.top_k_accuracy1 impor... | 5,737 | 26.719807 | 95 | py |
imgclsmob | imgclsmob-master/other/eval_pt_mch.py | """
Script for evaluating trained image matching model on PyTorch (under development).
"""
import os
import time
import logging
import argparse
import numpy as np
import torch
from common.logger_utils import initialize_logging
from pytorch.utils import prepare_pt_context, prepare_model
from pytorch.dataset_utils i... | 19,664 | 35.620112 | 98 | py |
imgclsmob | imgclsmob-master/other/eval_pt_cub-.py | import argparse
import time
import logging
from common.logger_utils import initialize_logging
from pytorch.model_stats import measure_model
from pytorch.cub200_2011_utils1 import add_dataset_parser_arguments, get_val_data_loader
from pytorch.utils import prepare_pt_context, prepare_model, calc_net_weight_count, Averag... | 7,660 | 32.748899 | 103 | py |
imgclsmob | imgclsmob-master/other/chainer_/top_k_accuracy1.py | import six
from chainer.backends import cuda
from chainer.function import Function
from chainer.utils import type_check
class TopKAccuracy(Function):
def __init__(self, k=1):
self.k = k
def check_type_forward(self, in_types):
type_check._argname(in_types, ('x', 't'))
x_type, t_type =... | 1,111 | 26.8 | 88 | py |
imgclsmob | imgclsmob-master/other/chainer_/imagenet1k1.py | import math
import os
import numpy as np
import chainer
from chainer import iterators
from chainer import Chain
from chainer.dataset import DatasetMixin
from chainercv.transforms import scale
from chainercv.transforms import center_crop
from chainercv.datasets import directory_parsing_label_names
from chainercv.datas... | 5,436 | 29.717514 | 110 | py |
imgclsmob | imgclsmob-master/other/chainer_/train_ch_in1k.py | import argparse
import numpy as np
import chainer
from chainer import cuda
from chainer import training
from chainer.training import extensions
from chainer.serializers import save_npz
from common.logger_utils import initialize_logging
from chainer_.utils import prepare_model
from chainer_.imagenet1k1 import add_data... | 9,308 | 29.224026 | 115 | py |
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