Name | Modified | Size | Downloads / Week |
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Parent folder | |||
0.4.0 (01_06_2022) Pose Detection, EfficientDet for Object Detection and EfficientNet for Image Recognition source code.tar.gz | 2022-06-01 | 87.1 MB | |
0.4.0 (01_06_2022) Pose Detection, EfficientDet for Object Detection and EfficientNet for Image Recognition source code.zip | 2022-06-01 | 87.7 MB | |
README.md | 2022-06-01 | 7.5 kB | |
Totals: 3 Items | 174.8 MB | 0 |
Features:
* Added the PoseNet model family to the ONNX Model Hub. #269
* MoveNetSinglePoseLighting
* MoveNetMultiPoseLighting
* MoveNetSinglePoseThunder
* Added the EfficientDet model family to the ONNX Model Hub. #304
* EfficientDetD0
* EfficientDetD1
* EfficientDetD2
* EfficientDetD3
* EfficientDetD4
* EfficientDetD5
* EfficientDetD6
* Added SSD-Mobilenet-v1 model to the ONNX Model Hub. #296
* Added EfficientNet model family to the ONNX Model Hub. #264
* EfficientNetB0 ( + noTop model)
* EfficientNetB1 ( + noTop model)
* EfficientNetB2 ( + noTop model)
* EfficientNetB3 ( + noTop model)
* EfficientNetB4 ( + noTop model)
* EfficientNetB5 ( + noTop model)
* EfficientNetB6 ( + noTop model)
* EfficientNetB7 ( + noTop model)
* Added NoTop models to the TensorFlow Model Hub. #281
* VGG'16
* VGG'19
* ResNet50
* ResNet101
* ResNet152
* ResNet50V2
* ResNet101V2
* ResNet152V2
* MobileNet
* MobileNetV2
* NasNetMobile
* NasNetLarge
* DenseNet121
* DenseNet169
* DenseNet201
* Xception
* Inception
* Added new Dot
layer and Conv1DTranspose
, Conv2DTranspose
, Conv3DTranspose
layers.
#144 #124
* Added new activation functions: SparsemaxActivation
and SoftShrinkActivation
.
#171 #170
* Added new Padding
, CenterCrop
, Convert
, Grayscale
image preprocessors and Normalizing
tensor preprocessor.
#203 #201
#202 #204
Examples and tutorials: * Added an example of Image preprocessing DSL usage with TensorFlow model. #292. * Added examples for Object Detection with EfficientDet2. * Added examples for Object Detection with SSD-Mobilenet-v1. * Added examples for Pose Detection with different models. * Added examples for Image Recognition with different models from EfficientNet model family. * Added examples for fine-tuning of noTop ResNet model. * Added an example for new Image Preprocessing DSL operator Normalize. * Added an example for Linear Regression model training with two metrics. * Added an example for new Functional API DSL with ToyResNet model. * Added an example for training LeNet model with multiple callbacks support.
API changes:
* Introduced new DSL for creating Sequential
and Functional
models. #133
* Added support for multiple Callbacks
in fit()
, evaluate()
, predict()
instead of compile()
.
#270
* Added support for multiple metrics. #298
* Added support for the model reset. #271
* Replaced Long
parameters with Integer
ones in convolutional, average pool and max pool layers.
#273
* Moved loading section out of image preprocessing. #322
* Remove obsolete CustomPreprocessor
interface. #257
* Supported exporting tensor data to BufferedImage
#293
Internal API changes:
* Introduced new abstraction for layer parameters -- KVariable
. #324
* Moved some of the Layer
functionality to the new interfaces ParametrizedLayer
and TrainableLayer
.
#217
Bug fixes:
* Added support for correct loading of isTrainable
status from Keras. #153
* Generalized Reshape
layer to higher dimensions. #249
* Fixed incorrect bounding box coordinates in ObjectDetection and FaceDetection examples. #279
* Fixed toString
methods for layer classes. #301
* Set all the optimizers to have useLocking = True
#305
* Fixed a bug with silently skipped layers in topological sort. #314
* Fixed loadModelLayersFromConfiguration
recursively calling itself. #319
* Fixed GraphTrainableModel#internalPredict
for multi-dimensional predictions. #327
* Fixed Orthogonal
initializer. #348
* Fixed initialization of the variables in GraphTrainableModel
. #355
* Add model output type checks for OnnxInferenceModel
. #356
* Fixed IndexOutOfBoundsException
in the Dot
layer. #357
* Fixed import and export issues:
- Fixed layers import and export and added tests. #329
#341 #360
- Fixed exporting Ones
, Zeros
, Orthogonal
and ParametrizedTruncatedNormal
initializers.
#331
* Updated log4j version.
* Fixed the group of examples with ToyResNet.
Thanks to our contributors: * Alexey Zinoviev (@zaleslaw) * Julia Beliaeva (@juliabeliaeva) * Ansh Tyagi (@therealansh) * Veniamin Viflyantsev (@knok16) * @cagriyildirimR * Wu Han (@wuhanstudio) * Michal Harakal (@michalharakal) * xiaoshen (@smallshen) * @ermolenkodev