tfrecord

TFRecord reader for PyTorch

使用Tensorflow训练模型的基本流程

End-to-End Speech Recognition Using Tensorflow

Generate TFRecord for images downloaded using EscVM/OIDv4_ToolKit

Go library that provides easy-to-use interfaces and tools for TensorFlow users, in particular allowing to train existing TF models on .tar and .tgz datasets

A python tfrecord builder tool focused on images

TF2.0 implementation of LSTM-CRF tagger.

通过Tensorflow将Cifar10数据转换成图像，并且对图像数据序列化为tfrecord数据。本项目对tfrecord的读写操作进行了演示，对代码详细注释。代码和文档将持续更新和优化。

Import and processing of video sensor data for intake gesture recognition. Support for OREBA dataset.

weed detection

Tfrecord Creator and TfrecordLoarder

Import and processing of inertial sensor data for intake gesture recognition. Support for Clemson Cafeteria, Food Intake Cycle, and OREBA datasets.

example of tensorflow dataset prefetch

Convert coco dataset to tfrecord for the tensorflow detection API.

Python package to help train image classification deep neural networks for generic datasets. Especially powerful when using with TPUs. The main advantages of the package is that is leverages the tfrecords format for the data along with transfer learning and hyperparameter optimization for model training.

Simple helper library to convert numpy data to tfrecord and build a tensorflow dataset

Transform to TFRecords dataset

Create selective class tfrecord from coco2017 dataset

Simple source code for convert images and labels into tfrecord.

Tensorflow cycle GAN implementation with TFRecord data format and Tensorboard visualization. Show couple of generated examples from horse2zebra and monet2photo.

yolo->voc，voc->yolo，voc->coco，voc-tfrecord

Utility tool to inspect various data formats to verify data integrity in machine learning

Python package to assist tfrecord file read and write

Tensorflow2.0 mnist writing and parsing data in .tfrecords format

Create tf-records

A python module for inspecting TFRecords.

This is a simple way to convert original mnist to TFRecord for a geater effective.

A simple example of painting color over the lips region based on facial landmark prediction with the Helen dataset, using transfer learning & fine tuning with a 3rd party pretrained model.