code stringlengths 501 5.19M | package stringlengths 2 81 | path stringlengths 9 304 | filename stringlengths 4 145 |
|---|---|---|---|
r"""A Beam job to add contextual memory banks to tf.Examples.
This tool groups images containing bounding boxes and embedded context features
by a key, either `image/location` or `image/seq_id`, and time horizon,
then uses these groups to build up a contextual memory bank from the embedded
context features from each i... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py | add_context_to_examples.py |
r"""A Beam job to generate embedding data for camera trap images.
This tool runs inference with an exported Object Detection model in
`saved_model` format and produce raw embeddings for camera trap data. These
embeddings contain an object-centric feature embedding from Faster R-CNN, the
datetime that the image was tak... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py | generate_embedding_data.py |
r"""Beam pipeline to create COCO Camera Traps Object Detection TFRecords.
Please note that this tool creates sharded output files.
This tool assumes the input annotations are in the COCO Camera Traps json
format, specified here:
https://github.com/Microsoft/CameraTraps/blob/master/data_management/README.md
Example u... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/dataset_tools/context_rcnn/create_cococameratraps_tfexample_main.py | create_cococameratraps_tfexample_main.py |
r"""Training executable for detection models.
This executable is used to train DetectionModels. There are two ways of
configuring the training job:
1) A single pipeline_pb2.TrainEvalPipelineConfig configuration file
can be specified by --pipeline_config_path.
Example usage:
./train \
--logtostderr \
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/legacy/train.py | train.py |
import logging
import tensorflow.compat.v1 as tf
from object_detection import eval_util
from object_detection.core import prefetcher
from object_detection.core import standard_fields as fields
from object_detection.metrics import coco_evaluation
from object_detection.utils import object_detection_evaluation
# A dicti... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/legacy/evaluator.py | evaluator.py |
r"""Evaluation executable for detection models.
This executable is used to evaluate DetectionModels. There are two ways of
configuring the eval job.
1) A single pipeline_pb2.TrainEvalPipelineConfig file maybe specified instead.
In this mode, the --eval_training_data flag may be given to force the pipeline
to evaluate... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/legacy/eval.py | eval.py |
import functools
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.builders import optimizer_builder
from object_detection.builders import preprocessor_builder
from object_detection.core import batcher
from object_detection.core import preprocessor
from object_detection.core import standa... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/legacy/trainer.py | trainer.py |
r"""Infers detections on a TFRecord of TFExamples given an inference graph.
Example usage:
./infer_detections \
--input_tfrecord_paths=/path/to/input/tfrecord1,/path/to/input/tfrecord2 \
--output_tfrecord_path=/path/to/output/detections.tfrecord \
--inference_graph=/path/to/frozen_weights_inference_graph... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/inference/infer_detections.py | infer_detections.py |
"""Utility functions for detection inference."""
from __future__ import division
import tensorflow.compat.v1 as tf
from object_detection.core import standard_fields
def build_input(tfrecord_paths):
"""Builds the graph's input.
Args:
tfrecord_paths: List of paths to the input TFRecords
Returns:
seria... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/inference/detection_inference.py | detection_inference.py |
"""SSD feature extractors based on Resnet v1 and PPN architectures."""
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import context_manager
from object_detect... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py | ssd_resnet_v1_ppn_feature_extractor.py |
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import context_manager
from object_detection.utils import ops
from object_detection.utils import shape_utils
from... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v1_feature_extractor.py | ssd_mobilenet_v1_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.mode... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v2_fpn_keras_feature_extractor.py | ssd_mobilenet_v2_fpn_keras_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import faster_rcnn_meta_arch
from object_detection.utils import variables_helper
#... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_nas_feature_extractor.py | faster_rcnn_nas_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
fro... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py | ssd_resnet_v1_fpn_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import functools
from six.moves import range
from six.moves import zip
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.utils import ops
from object_detection.uti... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/feature_map_generators.py | feature_map_generators.py |
"""SSDFeatureExtractor for InceptionV2 features."""
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import ops
from object_detection.utils import shape_utils
fr... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_inception_v2_feature_extractor.py | ssd_inception_v2_feature_extractor.py |
import collections
import functools
from six.moves import range
from six.moves import zip
import tensorflow as tf
from object_detection.utils import bifpn_utils
def _create_bifpn_input_config(fpn_min_level,
fpn_max_level,
input_max_level,
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/bidirectional_feature_pyramid_generators.py | bidirectional_feature_pyramid_generators.py |
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.models.keras_models import mobilenet_v2
from object_detection.utils import ops
from object_detection.utils import shape_utils
class SSDMobil... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v2_keras_feature_extractor.py | ssd_mobilenet_v2_keras_feature_extractor.py |
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import faster_rcnn_meta_arch
from nets import inception_v2
def _batch_norm_arg_scope(list_ops,
use_batch_norm=True,
batch_norm_decay=0.9997,
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_inception_v2_feature_extractor.py | faster_rcnn_inception_v2_feature_extractor.py |
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import faster_rcnn_meta_arch
from object_detection.utils import variables_helper
from nets import inception_resnet_v2
class FasterRCNNInceptionResnetV2FeatureExtractor(
faster_rcnn_meta_arch.FasterRCNNFeatureExtract... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py | faster_rcnn_inception_resnet_v2_feature_extractor.py |
# Skip pylint for this file because it times out
# pylint: skip-file
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import faster_rcnn_meta_arch
from object_detection.models.keras_models import inception_resnet_v2
from object_detection.utils import model_util
from object_detection.utils im... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor.py | faster_rcnn_inception_resnet_v2_keras_feature_extractor.py |
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import context_manager
from object_detection.utils import ops
from nets import mobilenet_v1
class EmbeddedSSDMo... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor.py | embedded_ssd_mobilenet_v1_feature_extractor.py |
"""Mobilenet v1 Faster R-CNN implementation."""
import numpy as np
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import faster_rcnn_meta_arch
from object_detection.utils import shape_utils
from nets import mobilenet_v1
def _get_mobilenet_conv_no_last_stride_defs(... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py | faster_rcnn_mobilenet_v1_feature_extractor.py |
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import context_manager
from object_detection.utils import ops
from object_detection.utils import shape_utils
from... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor.py | ssd_mobilenet_v1_ppn_feature_extractor.py |
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import context_manager
from object_detection.utils import ops
from object_detection.utils import variables_helper... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_pnasnet_feature_extractor.py | ssd_pnasnet_feature_extractor.py |
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import faster_rcnn_meta_arch
from object_detection.models.keras_models import resnet_v1
from object_detection.utils import model_util
_RESNET_MODEL_CONV4_LAST_LAYERS = {
'resnet_v1_50': 'conv4_block6_out',
'resnet_v1_101': 'conv4_bloc... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py | faster_rcnn_resnet_keras_feature_extractor.py |
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import faster_rcnn_meta_arch
from object_detection.models import feature_map_generators
from object_detection.models.keras_models import resnet_v1
from object_detection.utils import ops
_RESNET_MODEL_OUTPUT_LAYERS = {
'resnet_v1_50': ['co... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py | faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py |
"""SSDFeatureExtractor for MobileDet features."""
import functools
import numpy as np
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import ops
from object_det... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobiledet_feature_extractor.py | ssd_mobiledet_feature_extractor.py |
"""SSD MobilenetV2 NAS-FPN Feature Extractor."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import functools
from six.moves import range
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectur... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py | ssd_mobilenet_v2_mnasfpn_feature_extractor.py |
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import center_net_meta_arch
from object_detection.models.keras_models import mobilenet_v2 as mobilenetv2
class CenterNetMobileNetV2FeatureExtractor(
center_net_meta_arch.CenterNetFeatureExtractor):
"""The MobileNet V2 feature extractor ... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/center_net_mobilenet_v2_feature_extractor.py | center_net_mobilenet_v2_feature_extractor.py |
"""SSDFeatureExtractor for MobileNetV3 features."""
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import context_manager
from object_detection.utils import op... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v3_feature_extractor.py | ssd_mobilenet_v3_feature_extractor.py |
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import context_manager
from object_detection.utils import ops
from object_detection.utils import shape_utils
from... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v2_feature_extractor.py | ssd_mobilenet_v2_feature_extractor.py |
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.models.keras_models import mobilenet_v1
from object_detection.utils import ops
from object_detection.utils import shape_utils
class SSDMobil... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v1_keras_feature_extractor.py | ssd_mobilenet_v1_keras_feature_extractor.py |
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import center_net_meta_arch
from object_detection.models.keras_models import mobilenet_v2 as mobilenetv2
_MOBILENET_V2_FPN_SKIP_LAYERS = [
'block_2_add', 'block_5_add', 'block_9_add', 'out_relu'
]
class CenterNetMobileNetV2FPNFeatureExt... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py | center_net_mobilenet_v2_fpn_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.mode... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v1_fpn_keras_feature_extractor.py | ssd_mobilenet_v1_fpn_keras_feature_extractor.py |
from object_detection.meta_architectures import center_net_meta_arch
from object_detection.models.keras_models import hourglass_network
class CenterNetHourglassFeatureExtractor(
center_net_meta_arch.CenterNetFeatureExtractor):
"""The hourglass feature extractor for CenterNet.
This class is a thin wrapper aro... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/center_net_hourglass_feature_extractor.py | center_net_hourglass_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import functools
from six.moves import range
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models impo... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py | ssd_mobilenet_v1_fpn_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
from six.moves import zip
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py | ssd_resnet_v1_fpn_keras_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import functools
from six.moves import range
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models impo... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py | ssd_mobilenet_v2_fpn_feature_extractor.py |
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures.center_net_meta_arch import CenterNetFeatureExtractor
class CenterNetResnetFeatureExtractor(CenterNetFeatureExtractor):
"""Resnet v2 base feature extractor for the CenterNet model."""
def __init__(self, resnet_type, channel_means=(0., 0.... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/center_net_resnet_feature_extractor.py | center_net_resnet_feature_extractor.py |
"""SSD Keras-based EfficientNet + BiFPN (EfficientDet) Feature Extractor."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl import logging
from six.moves import range
from six.moves import zip
import tensorflow.compat.v2 as tf
from tensorflow.py... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_efficientnet_bifpn_feature_extractor.py | ssd_efficientnet_bifpn_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import faster_rcnn_meta_arch
from object_detection.utils import variables_helper
fr... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_pnas_feature_extractor.py | faster_rcnn_pnas_feature_extractor.py |
import tensorflow.compat.v1 as tf
from object_detection.meta_architectures.center_net_meta_arch import CenterNetFeatureExtractor
from object_detection.models.keras_models import resnet_v1
_RESNET_MODEL_OUTPUT_LAYERS = {
'resnet_v1_18': ['conv2_block2_out', 'conv3_block2_out',
'conv4_block2_o... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py | center_net_resnet_v1_fpn_feature_extractor.py |
"""SSDFeatureExtractor for InceptionV3 features."""
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import ssd_meta_arch
from object_detection.models import feature_map_generators
from object_detection.utils import ops
from object_detection.utils import shape_utils
fr... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/ssd_inception_v3_feature_extractor.py | ssd_inception_v3_feature_extractor.py |
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.meta_architectures import faster_rcnn_meta_arch
from nets import resnet_utils
from nets import resnet_v1
class FasterRCNNResnetV1FeatureExtractor(
faster_rcnn_meta_arch.FasterRCNNFeatureExtractor):
"""Faster R-CNN Resnet V1 feature ... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py | faster_rcnn_resnet_v1_feature_extractor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v1 as tf
from object_detection.core import freezable_batch_norm
class _LayersOverride(object):
"""Alternative Keras layers interface for the Keras InceptionResNetV2."""
def __in... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/keras_models/inception_resnet_v2.py | inception_resnet_v2.py |
from __future__ import print_function
import os
from absl import app
import numpy as np
import tensorflow.compat.v1 as tf
FLAGS = tf.flags.FLAGS
tf.flags.DEFINE_string('model', 'resnet_v2_101',
'The model to load. The following are supported: '
'"resnet_v1_50", "resnet... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/keras_models/convert_keras_models.py | convert_keras_models.py |
import tensorflow.compat.v2 as tf
BATCH_NORM_EPSILON = 1e-5
BATCH_NORM_MOMENTUM = 0.1
BATCH_NORM_FUSED = True
class IdentityLayer(tf.keras.layers.Layer):
"""A layer which passes through the input as it is."""
def call(self, inputs):
return inputs
def _get_padding_for_kernel_size(kernel_size):
if kernel... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/keras_models/hourglass_network.py | hourglass_network.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v1 as tf
from tensorflow.python.keras.applications import resnet
from object_detection.core import freezable_batch_norm
from object_detection.models.keras_models import model_utils
d... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/keras_models/resnet_v1.py | resnet_v1.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v1 as tf
from object_detection.core import freezable_batch_norm
from object_detection.models.keras_models import model_utils
def _fixed_padding(inputs, kernel_size, rate=1): # pylin... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/keras_models/mobilenet_v1.py | mobilenet_v1.py |
"""A wrapper around the MobileNet v2 models for Keras, for object detection."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v1 as tf
from object_detection.core import freezable_batch_norm
from object_detection.models.keras_mode... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/models/keras_models/mobilenet_v2.py | mobilenet_v2.py |
import tensorflow.compat.v1 as tf
from object_detection.core import box_coder
from object_detection.core import box_list
EPSILON = 1e-8
class SquareBoxCoder(box_coder.BoxCoder):
"""Encodes a 3-scalar representation of a square box."""
def __init__(self, scale_factors=None):
"""Constructor for SquareBoxCode... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/box_coders/square_box_coder.py | square_box_coder.py |
import tensorflow.compat.v1 as tf
from object_detection.core import box_coder
from object_detection.core import box_list
EPSILON = 1e-8
class FasterRcnnBoxCoder(box_coder.BoxCoder):
"""Faster RCNN box coder."""
def __init__(self, scale_factors=None):
"""Constructor for FasterRcnnBoxCoder.
Args:
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/box_coders/faster_rcnn_box_coder.py | faster_rcnn_box_coder.py |
import tensorflow.compat.v1 as tf
from object_detection.core import box_coder
from object_detection.core import box_list
from object_detection.core import standard_fields as fields
EPSILON = 1e-8
class KeypointBoxCoder(box_coder.BoxCoder):
"""Keypoint box coder."""
def __init__(self, num_keypoints, scale_facto... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/box_coders/keypoint_box_coder.py | keypoint_box_coder.py |
"""Library functions for ContextRCNN."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v1 as tf
import tf_slim as slim
# The negative value used in padding the invalid weights.
_NEGATIVE_PADDING_VALUE = -100000
def filter_weigh... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/meta_architectures/context_rcnn_lib.py | context_rcnn_lib.py |
import abc
import collections
import functools
import tensorflow.compat.v1 as tf
import tensorflow.compat.v2 as tf2
from object_detection.core import box_list
from object_detection.core import box_list_ops
from object_detection.core import keypoint_ops
from object_detection.core import model
from object_detection.core... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/meta_architectures/center_net_meta_arch.py | center_net_meta_arch.py |
from __future__ import print_function
import abc
import functools
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.builders import box_predictor_builder
from object_detection.builders import hyperparams_builder
from object_detection.core import box_list
from object_detection.core import b... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/meta_architectures/faster_rcnn_meta_arch.py | faster_rcnn_meta_arch.py |
import collections
import numpy as np
import tensorflow as tf
from object_detection.builders import losses_builder
from object_detection.core import box_list
from object_detection.core import box_list_ops
from object_detection.core import losses
from object_detection.core import preprocessor
from object_detection.cor... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/meta_architectures/deepmac_meta_arch.py | deepmac_meta_arch.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import tensorflow.compat.v1 as tf
from object_detection.core import box_predictor
from object_detection.core import standard_fields as fields
from object_detection.meta_architectures import c... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/meta_architectures/context_rcnn_meta_arch.py | context_rcnn_meta_arch.py |
import tensorflow.compat.v1 as tf
from object_detection.core import box_predictor
from object_detection.meta_architectures import faster_rcnn_meta_arch
from object_detection.utils import ops
class RFCNMetaArch(faster_rcnn_meta_arch.FasterRCNNMetaArch):
"""R-FCN Meta-architecture definition."""
def __init__(self... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/meta_architectures/rfcn_meta_arch.py | rfcn_meta_arch.py |
"""Library functions for Context R-CNN."""
import tensorflow as tf
from object_detection.core import freezable_batch_norm
# The negative value used in padding the invalid weights.
_NEGATIVE_PADDING_VALUE = -100000
class ContextProjection(tf.keras.layers.Layer):
"""Custom layer to do batch normalization and projec... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/meta_architectures/context_rcnn_lib_tf2.py | context_rcnn_lib_tf2.py |
import abc
import tensorflow.compat.v1 as tf
from tensorflow.python.util.deprecation import deprecated_args
from object_detection.core import box_list
from object_detection.core import box_list_ops
from object_detection.core import matcher
from object_detection.core import model
from object_detection.core import standa... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/meta_architectures/ssd_meta_arch.py | ssd_meta_arch.py |
"""RFCN Box Predictor."""
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.core import box_predictor
from object_detection.utils import ops
BOX_ENCODINGS = box_predictor.BOX_ENCODINGS
CLASS_PREDICTIONS_WITH_BACKGROUND = (
box_predictor.CLASS_PREDICTIONS_WITH_BACKGROUND)
MASK_PREDICT... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/rfcn_box_predictor.py | rfcn_box_predictor.py |
"""Convolutional Box Predictors with and without weight sharing."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
from six.moves import range
from six.moves import zip
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_de... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/convolutional_box_predictor.py | convolutional_box_predictor.py |
"""Convolutional Box Predictors with and without weight sharing."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
from six.moves import range
import tensorflow.compat.v1 as tf
from object_detection.core import box_predictor
from objec... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/convolutional_keras_box_predictor.py | convolutional_keras_box_predictor.py |
"""Mask R-CNN Box Predictor."""
from object_detection.core import box_predictor
BOX_ENCODINGS = box_predictor.BOX_ENCODINGS
CLASS_PREDICTIONS_WITH_BACKGROUND = (
box_predictor.CLASS_PREDICTIONS_WITH_BACKGROUND)
MASK_PREDICTIONS = box_predictor.MASK_PREDICTIONS
class MaskRCNNBoxPredictor(box_predictor.BoxPredic... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/mask_rcnn_box_predictor.py | mask_rcnn_box_predictor.py |
"""Mask R-CNN Box Predictor."""
from object_detection.core import box_predictor
BOX_ENCODINGS = box_predictor.BOX_ENCODINGS
CLASS_PREDICTIONS_WITH_BACKGROUND = (
box_predictor.CLASS_PREDICTIONS_WITH_BACKGROUND)
MASK_PREDICTIONS = box_predictor.MASK_PREDICTIONS
class MaskRCNNKerasBoxPredictor(box_predictor.Kera... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/mask_rcnn_keras_box_predictor.py | mask_rcnn_keras_box_predictor.py |
"""RFCN Box Predictor."""
import tensorflow.compat.v1 as tf
from object_detection.core import box_predictor
from object_detection.utils import ops
BOX_ENCODINGS = box_predictor.BOX_ENCODINGS
CLASS_PREDICTIONS_WITH_BACKGROUND = (
box_predictor.CLASS_PREDICTIONS_WITH_BACKGROUND)
MASK_PREDICTIONS = box_predictor.MAS... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/rfcn_keras_box_predictor.py | rfcn_keras_box_predictor.py |
import tensorflow.compat.v1 as tf
from object_detection.predictors.heads import head
from object_detection.utils import shape_utils
class ConvolutionalClassHead(head.KerasHead):
"""Convolutional class prediction head."""
def __init__(self,
is_training,
num_class_slots,
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/heads/keras_class_head.py | keras_class_head.py |
import functools
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.predictors.heads import head
from object_detection.utils import shape_utils
class MaskRCNNClassHead(head.Head):
"""Mask RCNN class prediction head.
Please refer to Mask RCNN paper:
https://arxiv.org/abs/1703.06870
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/heads/class_head.py | class_head.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
from six.moves import range
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.predictors.heads import head
from object_detection.utils import ops
class MaskRCNNMaskHe... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/heads/mask_head.py | mask_head.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
from six.moves import range
import tensorflow.compat.v1 as tf
from object_detection.predictors.heads import head
from object_detection.utils import ops
from object_detection.utils import shape_util... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/heads/keras_mask_head.py | keras_mask_head.py |
import functools
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.predictors.heads import head
class MaskRCNNBoxHead(head.Head):
"""Box prediction head.
Please refer to Mask RCNN paper:
https://arxiv.org/abs/1703.06870
"""
def __init__(self,
is_training,
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/heads/box_head.py | box_head.py |
import tensorflow.compat.v1 as tf
from object_detection.predictors.heads import head
class ConvolutionalBoxHead(head.KerasHead):
"""Convolutional box prediction head."""
def __init__(self,
is_training,
box_code_size,
kernel_size,
num_predictions_per_lo... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/heads/keras_box_head.py | keras_box_head.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.predictors.heads import head
class MaskRCNNKeypointHead(head.Head):
"""Mask RCNN keypoint predicti... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/predictors/heads/keypoint_head.py | keypoint_head.py |
"""Python library for ssd model, tailored for TPU inference."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v1 as tf
# pylint: disable=g-import-not-at-top
# Checking TF version, because this module relies on TPUPartitionedCall
#... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/tpu_exporters/ssd.py | ssd.py |
"""Python library for faster_rcnn model, tailored for TPU inference."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=protected-access
import tensorflow.compat.v1 as tf
# pylint: disable=g-import-not-at-top
# Checking TF version, because... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/tpu_exporters/faster_rcnn.py | faster_rcnn.py |
"""Python library for exporting SavedModel, tailored for TPU inference."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v1 as tf
from google.protobuf import text_format
# pylint: disable=g-direct-tensorflow-import
from tensorflow... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/tpu_exporters/export_saved_model_tpu_lib.py | export_saved_model_tpu_lib.py |
import tensorflow.compat.v1 as tf
from object_detection.core import preprocessor
from object_detection.protos import preprocessor_pb2
def _get_step_config_from_proto(preprocessor_step_config, step_name):
"""Returns the value of a field named step_name from proto.
Args:
preprocessor_step_config: A preprocess... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/preprocessor_builder.py | preprocessor_builder.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import zip
from object_detection.anchor_generators import flexible_grid_anchor_generator
from object_detection.anchor_generators import grid_anchor_generator
from object_detection.anchor_generator... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/anchor_generator_builder.py | anchor_generator_builder.py |
import functools
import sys
from absl import logging
from object_detection.builders import anchor_generator_builder
from object_detection.builders import box_coder_builder
from object_detection.builders import box_predictor_builder
from object_detection.builders import hyperparams_builder
from object_detection.builde... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/model_builder.py | model_builder.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from object_detection.data_decoders import tf_example_decoder
from object_detection.data_decoders import tf_sequence_example_decoder
from object_detection.protos import input_reader_pb2
def build(input_reader... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/decoder_builder.py | decoder_builder.py |
import functools
from object_detection.core import balanced_positive_negative_sampler as sampler
from object_detection.core import losses
from object_detection.protos import losses_pb2
from object_detection.utils import ops
def build(loss_config):
"""Build losses based on the config.
Builds classification, local... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/losses_builder.py | losses_builder.py |
import collections
import tensorflow.compat.v1 as tf
from object_detection.predictors import convolutional_box_predictor
from object_detection.predictors import convolutional_keras_box_predictor
from object_detection.predictors import mask_rcnn_box_predictor
from object_detection.predictors import mask_rcnn_keras_box_p... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/box_predictor_builder.py | box_predictor_builder.py |
"""A function to build an object detection box coder from configuration."""
from object_detection.box_coders import faster_rcnn_box_coder
from object_detection.box_coders import keypoint_box_coder
from object_detection.box_coders import mean_stddev_box_coder
from object_detection.box_coders import square_box_coder
fro... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/box_coder_builder.py | box_coder_builder.py |
import tensorflow.compat.v1 as tf
from object_detection.utils import learning_schedules
from object_detection.utils import tf_version
# pylint: disable=g-import-not-at-top
if tf_version.is_tf2():
from official.modeling.optimization import ema_optimizer
# pylint: enable=g-import-not-at-top
try:
from tensorflow.co... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/optimizer_builder.py | optimizer_builder.py |
"""Builder function to construct tf-slim arg_scope for convolution, fc ops."""
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.core import freezable_batch_norm
from object_detection.protos import hyperparams_pb2
from object_detection.utils import context_manager
from object_detection.ut... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/hyperparams_builder.py | hyperparams_builder.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import math
import tensorflow.compat.v1 as tf
from object_detection.builders import decoder_builder
from object_detection.protos import input_reader_pb2
def make_initializable_iterator(datas... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/dataset_builder.py | dataset_builder.py |
import tensorflow.compat.v1 as tf
from object_detection.utils import shape_utils
def _find_interval_containing_new_value(x, new_value):
"""Find the index of x (ascending-ordered) after which new_value occurs."""
new_value_shape = shape_utils.combined_static_and_dynamic_shape(new_value)[0]
x_shape = shape_utils.... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/calibration_builder.py | calibration_builder.py |
"""Builder function for image resizing operations."""
import functools
import tensorflow.compat.v1 as tf
from object_detection.core import preprocessor
from object_detection.protos import image_resizer_pb2
def _tf_resize_method(resize_method):
"""Maps image resize method from enumeration type to TensorFlow.
Arg... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/image_resizer_builder.py | image_resizer_builder.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v1 as tf
import tf_slim as slim
from object_detection.data_decoders import tf_example_decoder
from object_detection.data_decoders import tf_sequence_example_decoder
from object_detecti... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/input_reader_builder.py | input_reader_builder.py |
"""Builder function for post processing operations."""
import functools
import tensorflow.compat.v1 as tf
from object_detection.builders import calibration_builder
from object_detection.core import post_processing
from object_detection.protos import post_processing_pb2
def build(post_processing_config):
"""Builds... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/builders/post_processing_builder.py | post_processing_builder.py |
from abc import abstractmethod
import tensorflow.compat.v1 as tf
BOX_ENCODINGS = 'box_encodings'
CLASS_PREDICTIONS_WITH_BACKGROUND = 'class_predictions_with_background'
MASK_PREDICTIONS = 'mask_predictions'
class BoxPredictor(object):
"""BoxPredictor."""
def __init__(self, is_training, num_classes):
"""Cons... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/core/box_predictor.py | box_predictor.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import inspect
import math
import sys
import six
from six.moves import range
from six.moves import zip
import tensorflow.compat.v1 as tf
from tensorflow.python.ops import control_flow_ops
fro... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/core/preprocessor.py | preprocessor.py |
"""Provides functions to batch a dictionary of input tensors."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
from six.moves import range
import tensorflow.compat.v1 as tf
from object_detection.core import prefetcher
rt_shape_str = ... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/core/batcher.py | batcher.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import six
import tensorflow.compat.v1 as tf
from object_detection.core import box_list
from object_detection.core import box_list_ops
from object_detection.utils import ops
from object_detection.uti... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/core/losses.py | losses.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import six
import tensorflow.compat.v1 as tf
from object_detection.utils import ops
class Match(object):
"""Class to store results from the matcher.
This class is used to store the results fr... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/core/matcher.py | matcher.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
from six.moves import zip
import tensorflow.compat.v1 as tf
import tensorflow.compat.v2 as tf2
from object_detection.box_coders import faster_rcnn_box_coder
from object_detection.bo... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/core/target_assigner.py | target_assigner.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from abc import ABCMeta
from abc import abstractmethod
import six
import tensorflow.compat.v1 as tf
from object_detection.core import box_list_ops
from object_detection.core import standard_fields as fields
... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/core/region_similarity_calculator.py | region_similarity_calculator.py |
import numpy as np
import tensorflow.compat.v1 as tf
def scale(keypoints, y_scale, x_scale, scope=None):
"""Scales keypoint coordinates in x and y dimensions.
Args:
keypoints: a tensor of shape [num_instances, num_keypoints, 2]
y_scale: (float) scalar tensor
x_scale: (float) scalar tensor
scope: ... | 123-object-detection | /123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/core/keypoint_ops.py | keypoint_ops.py |
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