python_code stringlengths 0 679k | repo_name stringlengths 9 41 | file_path stringlengths 6 149 |
|---|---|---|
doc(title="Operations",
underline_char="=",
entries=[
"general/general_ops_index.py",
"image_processing/index.py",
"audio_processing/index.py",
"sequence_processing/index.py",
])
| DALI-main | docs/examples/operations_index.py |
doc(title="General Purpose",
underline_char="=",
entries=[
"expressions/index.py",
doc_entry(
"reductions.ipynb",
op_reference('fn.reductions', "Tutorial describing how to use reductions")),
doc_entry(
"tensor_join.ipynb",
[
... | DALI-main | docs/examples/general/general_ops_index.py |
doc(title="Data Loading",
underline_char="=",
entries=[
doc_entry("external_input.ipynb",
op_reference("fn.external_source", "Intro tutorial for external source")),
doc_entry(
"parallel_external_source.ipynb",
op_reference("fn.external_source", "How to u... | DALI-main | docs/examples/general/data_loading/index.py |
doc(title="DALI Expressions and Arithmetic Operations",
underline_char="=",
entries=[
"expr_examples.ipynb",
"expr_type_promotions.ipynb",
"expr_blend_image.ipynb",
"expr_conditional_and_masking.ipynb",
])
| DALI-main | docs/examples/general/expressions/index.py |
doc(title="Custom Operations",
underline_char="=",
entries=[
"custom_operator/create_a_custom_operator.ipynb",
doc_entry("python_operator.ipynb",
[op_reference('fn.python_function', "Running custom Python code with the family of python_function operators"),
o... | DALI-main | docs/examples/custom_operations/index.py |
# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. 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... | DALI-main | docs/examples/custom_operations/custom_operator/naive_histogram/naive_histogram_test.py |
doc(title="Audio Processing",
underline_char="=",
entries=[
doc_entry(
"audio_decoder.ipynb",
op_reference("fn.decoders.audio", "Audio decoder tutorial")),
doc_entry(
"spectrogram.ipynb",
[
op_reference("fn.spectrogram", "Audio spec... | DALI-main | docs/examples/audio_processing/index.py |
doc(title="Use Cases",
underline_char="=",
entries=[
"video_superres/README.rst",
"pytorch/resnet50/pytorch-resnet50.rst",
"pytorch/single_stage_detector/pytorch_ssd.rst",
"pytorch/efficientnet/readme.rst",
"tensorflow/resnet-n/README.rst",
"tensorflow/yolov4/read... | DALI-main | docs/examples/use_cases/index.py |
DALI-main | docs/examples/use_cases/mxnet/resnetn/__init__.py | |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/train_imagenet.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/common/fit.py |
DALI-main | docs/examples/use_cases/mxnet/resnetn/common/__init__.py | |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/common/find_mxnet.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/common/data.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/googlenet.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/vgg.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/inception-v4.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/resnet-v1.py |
DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/__init__.py | |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/mlp.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/resnext.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/inception-resnet-v2.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/lenet.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/mobilenet.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/inception-bn.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/resnet.py |
"""References:
Simonyan, Karen, and Andrew Zisserman. "Very deep convolutional networks for
large-scale image recognition." arXiv preprint arXiv:1409.1556 (2014).
This implements Variant D from the paper.
"""
import mxnet as mx
def get_symbol(num_classes, **kwargs):
## define alexnet
data = mx.symbol.Variabl... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/vgg16.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/inception-v3.py |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | DALI-main | docs/examples/use_cases/mxnet/resnetn/symbols/alexnet.py |
doc(title="PaddlePaddle Use-Cases",
underline_char="=",
entries=[
"resnet50/paddle-resnet50.rst",
"ssd/paddle-ssd.rst",
"tsm/paddle-tsm.rst",
])
| DALI-main | docs/examples/use_cases/paddle/index.py |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2017-2019, 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
#
# htt... | DALI-main | docs/examples/use_cases/paddle/resnet50/resnet.py |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2017-2019, 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
#
# htt... | DALI-main | docs/examples/use_cases/paddle/resnet50/main.py |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2017-2019, 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
#
# htt... | DALI-main | docs/examples/use_cases/paddle/ssd/ssd.py |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2017-2019, 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
#
# htt... | DALI-main | docs/examples/use_cases/paddle/ssd/utils.py |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2017-2021, NVIDIA CORPORATION & AFFILIATES. 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 a... | DALI-main | docs/examples/use_cases/paddle/ssd/train.py |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2017-2019, 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
#
# htt... | DALI-main | docs/examples/use_cases/paddle/tsm/tsm.py |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2017-2019, 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
#
# htt... | DALI-main | docs/examples/use_cases/paddle/tsm/utils.py |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2017-2019, 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
#
# htt... | DALI-main | docs/examples/use_cases/paddle/tsm/infer.py |
#!/usr/bin/env python
# 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
#
# Unle... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/trivial.py |
import tensorflow as tf
from tensorflow.keras import backend
from tensorflow.keras import initializers
from tensorflow.keras import models
from tensorflow.keras import regularizers
from nvutils import image_processing
layers = tf.keras.layers
L2_WEIGHT_DECAY = 1e-4
BATCH_NORM_DECAY = 0.9
BATCH_NORM_EPSILON = 1e-5
... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/resnet_model.py |
#!/usr/bin/env python
# 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
#
# Unle... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/resnet.py |
#!/usr/bin/env python
# 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
#
# Unle... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/resnet_ctl.py |
#!/usr/bin/env python
# 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
#
# Unle... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/nvutils/runner.py |
#!/usr/bin/env python
# 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
#
# Unle... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/nvutils/cmdline.py |
#!/usr/bin/env python
# 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
#
# Unle... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/nvutils/__init__.py |
import tensorflow as tf
BASE_LEARNING_RATE = 0.1
LR_SCHEDULE = [ # (multiplier, epoch to start) tuples
(1.0, 5), (0.1, 30), (0.01, 60), (0.001, 80)
]
def create_piecewise_constant_decay_with_warmup(batch_size, epoch_size,
warmup_epochs, boundaries, multipliers, compute_lr_on_cpu=True, name=None):
if len... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/nvutils/common.py |
# This is a patch for Horovod 0.21.3 to work with our custom learning schedule
# used in CNN resnet50 scripts.
from tensorflow import keras
from horovod.tensorflow import Compression
from tensorflow.python.keras.optimizer_v2 import optimizer_v2
import horovod.tensorflow as hvd
import tensorflow as tf
from nvutils imp... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/nvutils/hvd_patch.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... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/nvutils/image_processing.py |
#!/usr/bin/env python
# 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
#
# Unle... | DALI-main | docs/examples/use_cases/tensorflow/resnet-n/nvutils/runner_ctl.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/utils.py |
import multiprocessing
from absl import logging
import numpy as np
import tensorflow as tf
import random
import re
import os
import hparams_config
import utils
from model import efficientdet_net
from model.utils import optimizers
def run_training(args):
logging.set_verbosity(logging.WARNING)
args = utils.di... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/train.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/hparams_config.py |
import multiprocessing
from absl import logging
import numpy as np
import tensorflow as tf
import re
import os
import hparams_config
import utils
from model import efficientdet_net
def run_eval(args):
logging.set_verbosity(logging.WARNING)
args = utils.dict_to_namedtuple(args)
config = hparams_config.g... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/eval.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/target_assigner.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/matcher.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/faster_rcnn_box_coder.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/shape_utils.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/box_coder.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/box_list.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/region_similarity_calculator.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/argmax_matcher.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/tf/preprocessor.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/tf/dataloader.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/tf/tf_example_decoder.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/tf/gridmask.py |
# Copyright 2021 Kacper Kluk, Paweł Anikiel, Jagoda Kamińska. 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
#
# Unles... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/dali/efficientdet_pipeline.py |
# Copyright 2021 Kacper Kluk, Paweł Anikiel, Jagoda Kamińska. 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
#
# Unles... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/pipeline/dali/ops_util.py |
# Copyright 2021 Jagoda Kamińska. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/dataset/create_tfrecord_indexes.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/dataset/create_pascal_tfrecord.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/dataset/label_map_util.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/dataset/create_coco_tfrecord.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/dataset/tfrecord_util.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/model/efficientdet_net.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/model/utils/fpn_configs.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/model/utils/postprocess.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/model/utils/optimizers.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/model/utils/losses.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/model/utils/layers.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/model/backbone/efficientnet_builder.py |
# Copyright 2020 Google Research. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/efficientdet/model/backbone/efficientnet_model.py |
# Copyright 2021 Paweł Anikiel, Kacper Kluk. 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 app... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/img.py |
# Copyright 2021 Kacper Kluk, Jagoda Kamińska. 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 a... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/model.py |
# Copyright 2021 Kacper Kluk. 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 applicable law or ... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/utils.py |
# Copyright 2021 Kacper Kluk. 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 applicable law or ... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/train.py |
# Copyright 2021 Kacper Kluk. 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 applicable law or ... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/inference.py |
# Copyright 2021 Kacper Kluk. 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 applicable law or ... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/main.py |
# Copyright 2021 Jagoda Kamińska. 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 applicable law... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/layers.py |
__author__ = 'tylin'
__version__ = '2.0'
# Interface for accessing the Microsoft COCO dataset.
# Microsoft COCO is a large image dataset designed for object detection,
# segmentation, and caption generation. pycocotools is a Python API that
# assists in loading, parsing and visualizing the annotations in COCO.
# Pleas... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/np/coco.py |
# Copyright 2021 Kacper Kluk. 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 applicable law or ... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/np/pipeline.py |
# Copyright 2021 Kacper Kluk, Piotr Kowalewski. 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 ... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/dali/ops.py |
# Copyright 2021 Kacper Kluk, Piotr Kowalewski. 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 ... | DALI-main | docs/examples/use_cases/tensorflow/yolov4/src/dali/pipeline.py |
DALI-main | docs/examples/use_cases/video_superres/__init__.py | |
import argparse
import logging as log
import os
import time
import datetime
from functools import reduce
import numpy as np
from math import ceil, floor
from tensorboardX import SummaryWriter
import torch
import torch.distributed as dist
import torch.optim as optim
import torch.utils.data.distributed
from torch.mult... | DALI-main | docs/examples/use_cases/video_superres/main.py |
import argparse
import os
import subprocess
def split_scenes(raw_data_path, out_data_path):
out_data_path = os.path.join(out_data_path,'orig','scenes')
if not os.path.isdir(os.path.join(out_data_path,'train')):
os.makedirs(os.path.join(out_data_path,'train'))
if not os.path.isdir(os.path.join(ou... | DALI-main | docs/examples/use_cases/video_superres/tools/split_scenes.py |
import argparse
import os
import subprocess
default_format = "png"
default_qscale_jpg = "4"
def extract_frames(main_data, resolution, format, q, quiet,
transcoded, codec, crf, keyint):
if transcoded:
desc = [resolution, 'scenes']
desc += [codec] if codec else []
desc +=... | DALI-main | docs/examples/use_cases/video_superres/tools/extract_frames.py |
import argparse
import os
import subprocess
default_codec = "h264"
default_crf = "18"
default_keyint = "4"
def downsample_scenes(main_data, resolution, codec, crf, keyint, quiet):
desc = [resolution, 'scenes']
if not codec:
codec = default_codec
else:
desc += [codec]
assert codec in [... | DALI-main | docs/examples/use_cases/video_superres/tools/transcode_scenes.py |
import torch
from torch import nn
from torch.autograd import Variable
from torch.nn.parameter import Parameter
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
from common.loss_scaler import DynamicLossScaler, LossScaler
FLOAT_TYPES = (torch.FloatTensor, torch.cuda.FloatTensor)
HALF_TYPES = (... | DALI-main | docs/examples/use_cases/video_superres/common/fp16.py |
DALI-main | docs/examples/use_cases/video_superres/common/__init__.py | |
import torch
import torch.nn as nn
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
class tofp16(nn.Module):
"""
Model wrapper that implements::
def forward(self, input):
return input.half()
"""
def __init__(self):
super(tofp16, self).__init__()
... | DALI-main | docs/examples/use_cases/video_superres/common/fp16util.py |
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