python_code stringlengths 0 679k | repo_name stringlengths 9 41 | file_path stringlengths 6 149 |
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# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/hps/deploy_sparse.py |
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/hps/deploy_ensemble.py |
"""
Script to benchmark model throughput and latency
"""
import os
import numpy as np
from tqdm import tqdm
from timeit import default_timer as timer
import hydra
from omegaconf import DictConfig
import tensorflow as tf
from tensorflow.keras import mixed_precision
from data_generators import tf_data_generator
from uti... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/benchmark_inference.py |
"""
Prediction script used to visualize model output
"""
import os
import hydra
from omegaconf import DictConfig
from data_generators import tf_data_generator
from utils.general_utils import join_paths, suppress_warnings
from utils.images_utils import display
from utils.images_utils import postprocess_mask, denormaliz... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/predict.py |
"""
Training script
"""
import numpy as np
from datetime import datetime, timedelta
import hydra
from omegaconf import DictConfig
import tensorflow as tf
from tensorflow.keras import mixed_precision
from tensorflow.keras.callbacks import (
EarlyStopping,
ModelCheckpoint,
TensorBoard,
CSVLogger
)
from d... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/train.py |
"""
Evaluation script used to calculate accuracy of trained model
"""
import os
import hydra
from omegaconf import DictConfig
import tensorflow as tf
from tensorflow.keras import mixed_precision
from data_generators import data_generator
from utils.general_utils import join_paths, set_gpus, suppress_warnings
from mode... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/evaluate.py |
"""
Implementation of different loss functions
"""
import tensorflow as tf
import tensorflow.keras.backend as K
def iou(y_true, y_pred, smooth=1.e-9):
"""
Calculate intersection over union (IoU) between images.
Input shape should be Batch x Height x Width x #Classes (BxHxWxN).
Using Mean as reduction ... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/losses/loss.py |
"""
UNet 3+ Loss
"""
from .loss import focal_loss, ssim_loss, iou_loss
def unet3p_hybrid_loss(y_true, y_pred):
"""
Hybrid loss proposed in
UNET 3+ (https://arxiv.org/ftp/arxiv/papers/2004/2004.08790.pdf)
Hybrid loss for segmentation in three-level hierarchy – pixel,
patch and map-level, which is a... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/losses/unet_loss.py |
import sys
from timeit import default_timer as timer
import tensorflow as tf
class TimingCallback(tf.keras.callbacks.Callback):
"""
Custom callback to note training time, latency and throughput
"""
def __init__(self, ):
super(TimingCallback, self).__init__()
self.train_start_time = No... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/callbacks/timing_callback.py |
"""
Verify for each image corresponding mask exist or not.
Check against both train and val data
"""
import os
import sys
from omegaconf import DictConfig
from tqdm import tqdm
sys.path.append(os.path.abspath("./"))
from utils.general_utils import join_paths
from utils.images_utils import image_to_mask_name
def chec... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/data_preparation/verify_data.py |
"""
Convert LiTS 2017 (Liver Tumor Segmentation) data into UNet3+ data format
LiTS: https://competitions.codalab.org/competitions/17094
"""
import os
import sys
from glob import glob
from pathlib import Path
from tqdm import tqdm
import numpy as np
import multiprocessing as mp
import cv2
import nibabel as nib
import hy... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/data_preparation/preprocess_data.py |
"""
General Utility functions
"""
import os
import tensorflow as tf
from omegaconf import DictConfig
from .images_utils import image_to_mask_name
def create_directory(path):
"""
Create Directory if it already does not exist.
"""
if not os.path.exists(path):
os.makedirs(path)
def join_paths(*... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/utils/general_utils.py |
"""
Utility functions for image processing
"""
import numpy as np
import cv2
from omegaconf import DictConfig
import matplotlib.pyplot as plt
def read_image(img_path, color_mode):
"""
Read and return image as np array from given path.
In case of color image, it returns image in BGR mode.
"""
retur... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/utils/images_utils.py |
"""
UNet3+ base model
"""
import tensorflow as tf
import tensorflow.keras as k
from .unet3plus_utils import conv_block
def unet3plus(encoder_layer, output_channels, filters):
""" UNet3+ base model """
""" Encoder """
e1 = encoder_layer[0]
e2 = encoder_layer[1]
e3 = encoder_layer[2]
e4 = encod... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/models/unet3plus.py |
"""
UNet_3Plus with Deep Supervision and Classification Guided Module
"""
import tensorflow as tf
import tensorflow.keras as k
from .unet3plus_utils import conv_block, dot_product
def unet3plus_deepsup_cgm(encoder_layer, output_channels, filters, training=False):
""" UNet_3Plus with Deep Supervision and Classific... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/models/unet3plus_deep_supervision_cgm.py |
"""
Unet3+ backbones
"""
import tensorflow as tf
import tensorflow.keras as k
from .unet3plus_utils import conv_block
def vgg16_backbone(input_layer, ):
""" VGG-16 backbone as encoder for UNet3P """
base_model = tf.keras.applications.VGG16(
input_tensor=input_layer,
weights=None,
incl... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/models/backbones.py |
"""
Returns Unet3+ model
"""
import tensorflow as tf
from omegaconf import DictConfig
from .backbones import vgg16_backbone, vgg19_backbone, unet3plus_backbone
from .unet3plus import unet3plus
from .unet3plus_deep_supervision import unet3plus_deepsup
from .unet3plus_deep_supervision_cgm import unet3plus_deepsup_cgm
... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/models/model.py |
"""
UNet3+ with Deep Supervision
"""
import tensorflow as tf
import tensorflow.keras as k
from .unet3plus_utils import conv_block
def unet3plus_deepsup(encoder_layer, output_channels, filters, training=False):
""" UNet_3Plus with Deep Supervision """
""" Encoder """
e1 = encoder_layer[0]
e2 = encoder... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/models/unet3plus_deep_supervision.py |
"""
Utility functions for Unet3+ models
"""
import tensorflow as tf
import tensorflow.keras as k
def conv_block(x, kernels, kernel_size=(3, 3), strides=(1, 1), padding='same',
is_bn=True, is_relu=True, n=2):
""" Custom function for conv2d:
Apply 3*3 convolutions with BN and relu.
"""
... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/models/unet3plus_utils.py |
"""
NVIDIA DALI data generator object.
"""
import nvidia.dali.fn as fn
from nvidia.dali import pipeline_def
import nvidia.dali.types as types
import nvidia.dali.plugin.tf as dali_tf
import tensorflow as tf
from omegaconf import DictConfig
from utils.general_utils import get_data_paths, get_gpus_count
def data_genera... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/data_generators/dali_data_generator.py |
"""
Data generator
"""
import os
import tensorflow as tf
from omegaconf import DictConfig
from utils.general_utils import join_paths, get_gpus_count
from .tf_data_generator import DataGenerator as tf_data_generator
try:
from .dali_data_generator import data_generator as dali_data_generator
except ModuleNotFoundEr... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/data_generators/data_generator.py |
"""
Tensorflow data generator class.
"""
import tensorflow as tf
import numpy as np
from omegaconf import DictConfig
from utils.general_utils import get_data_paths
from utils.images_utils import prepare_image, prepare_mask
class DataGenerator(tf.keras.utils.Sequence):
"""
Generate batches of data for model b... | DeepLearningExamples-master | TensorFlow2/Segmentation/Contrib/UNet3P/data_generators/tf_data_generator.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/main.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/config.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/arguments.py |
DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/__init__.py | |
from .dataset import Dataset
| DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/dataset/__init__.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/dataset/dataset.py |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/dataset/dataset_parser.py |
""" Custom mapping that maps model backbone to weights from NVIDIA ResNet50 v1.5 checkpoint. """
# pylint: disable=line-too-long
WEIGHTS_MAPPING = {
'mrcnn/resnet50/bottleneck_group/bottleneck_block/conv2d_block_1/batch_normalization_2/beta': 'resnet50/btlnck_block_0_0/bottleneck_1/BatchNorm/beta',
'mrcnn/resn... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/runtime/weights_mapping.py |
import logging
import os
import tensorflow as tf
import dllogger
from mrcnn_tf2.model.mask_rcnn import MaskRCNN
from mrcnn_tf2.runtime.callbacks import DLLoggerMetricsCallback, DLLoggerPerfCallback, PretrainedWeightsLoadingCallback
from mrcnn_tf2.runtime.evaluation import evaluate
from mrcnn_tf2.runtime.learning_rate... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/runtime/run.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/runtime/evaluation.py |
import tensorflow as tf
class PiecewiseConstantWithWarmupSchedule(tf.keras.optimizers.schedules.LearningRateSchedule):
"""
Schedule that starts with learning rate at `init_value` and monotonically increases
it up to `values[0]` at step `boundaries[0]`. After that the learning rate changes
on each boun... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/runtime/learning_rate.py |
DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/runtime/__init__.py | |
import logging
import time
from collections import defaultdict
import numpy as np
import tensorflow as tf
from mrcnn_tf2.utils.keras import KerasCallback
CONFIDENCE_INTERVAL_Z = {
80.0: 1.282,
85.0: 1.440,
90.0: 1.645,
95.0: 1.960,
99.0: 2.576,
99.5: 2.807,
99.9: 3.291,
}
class DLLogger... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/runtime/callbacks.py |
import tensorflow as tf
class KerasCallback(tf.keras.callbacks.Callback):
""" Utility class that simplifies usage of Keras callback across different modes. """
def __init__(self):
super().__init__()
self._current_epoch = None
def on_any_begin(self, mode, logs):
pass
def on_a... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/utils/keras.py |
DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/utils/__init__.py | |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/utils/box_utils.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/utils/dllogger.py |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/utils/coco_metric.py |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/utils/coco_utils.py |
DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/__init__.py | |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/anchors.py |
import tensorflow as tf
from mrcnn_tf2.model import anchors
from mrcnn_tf2.model.losses import MaskRCNNLoss, FastRCNNLoss, RPNLoss
from mrcnn_tf2.model.models.fpn import FPNNetwork
from mrcnn_tf2.model.models.heads import RPNHead, BoxHead, MaskHead
from mrcnn_tf2.model.models.resnet50 import ResNet50
from mrcnn_tf2.op... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/mask_rcnn.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/losses.py |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models/fpn.py |
DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models/__init__.py | |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models/heads.py |
import tensorflow as tf
from mrcnn_tf2.model.models.resnet50 import BottleneckBlock
class BottleneckGroup(tf.keras.layers.Layer):
def __init__(self, blocks, filters, strides, trainable=True):
super().__init__(trainable=trainable)
self.blocks = []
for block_id in range(blocks):
... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models/resnet50/bottleneck_group.py |
import tensorflow as tf
from mrcnn_tf2.model.models.resnet50 import Conv2DBlock
class BottleneckBlock(tf.keras.layers.Layer):
def __init__(self, filters, strides, expansion=1, shortcut='conv2d', trainable=True, *args, **kwargs):
super().__init__(trainable=trainable, *args, **kwargs)
if shortcut... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models/resnet50/bottleneck_block.py |
from .conv2d_block import Conv2DBlock
from .bottleneck_block import BottleneckBlock
from .bottleneck_group import BottleneckGroup
from .resnet import ResNet50
| DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models/resnet50/__init__.py |
import tensorflow as tf
from mrcnn_tf2.model.models.resnet50 import BottleneckGroup, Conv2DBlock
class ResNet50(tf.keras.Model):
def __init__(self, name='resnet50', *args, **kwargs):
super().__init__(name=name, *args, **kwargs)
self.conv2d = Conv2DBlock(
filters=64,
kern... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models/resnet50/resnet.py |
import tensorflow as tf
class Conv2DBlock(tf.keras.layers.Layer):
def __init__(self, filters, kernel_size, strides, padding='SAME',
use_batch_norm=True, use_relu=True, trainable=True,
trainable_batch_norm=False, *args, **kwargs):
super().__init__(trainable=trainable, *ar... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models/resnet50/conv2d_block.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/target_assigner.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/matcher.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/faster_rcnn_box_coder.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/shape_utils.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/box_coder.py |
DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/__init__.py | |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/minibatch_sampler.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/preprocessor.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/ops.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/balanced_positive_negative_sampler.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/box_list.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/region_similarity_calculator.py |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/tf_example_decoder.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection/argmax_matcher.py |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops/training_ops.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops/spatial_transform_ops.py |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops/postprocess_ops.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops/roi_ops.py |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops/preprocess_ops.py |
DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops/__init__.py | |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops/box_utils.py |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/dataset/create_coco_tf_record.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/scripts/benchmark_training.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/scripts/benchmark_inference.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/scripts/download_weights.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/scripts/train.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/scripts/inference.py |
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/MaskRCNN/scripts/evaluate.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/download_dataset.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/main.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/data_loading/data_loader.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/runtime/run.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/runtime/parse_results.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/runtime/arguments.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/runtime/setup.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/runtime/losses.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/model/unet.py |
import os
from operator import itemgetter
import tensorflow as tf
from tensorflow.python.compiler.tensorrt import trt_convert as trt
from tensorflow.compat.v1.saved_model import tag_constants, signature_constants
def export_model(model_dir, prec, tf_trt_model_dir=None):
model = tf.keras.models.load_model(os.path... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/model/tf_trt.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/UNet_Medical/model/layers.py |
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/nnUNet/preprocess.py |
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/nnUNet/download.py |
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/nnUNet/evaluate.py |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/nnUNet/main.py |
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/nnUNet/data_loading/data_module.py |
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/nnUNet/data_loading/dali_loader.py |
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/nnUNet/data_loading/utils.py |
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | DeepLearningExamples-master | TensorFlow2/Segmentation/nnUNet/runtime/logging.py |
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