KotlinDL Files

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