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tensorrt-1 icon tensorrt-1

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition APIs

text-detection-ctpn icon text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

text_recognition_toolbox icon text_recognition_toolbox

text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.

textfield icon textfield

TextField: Learning A Deep Direction Field for Irregular Scene Text Detection (TIP 2019)

textproposals icon textproposals

Implementation of the method proposed in the paper "Object Proposals for Text Extraction in the Wild" (Gomez & Karatzas), International Conference on Document Analysis and Recognition, ICDAR2015.

textsnake.pytorch icon textsnake.pytorch

PyTorch implement of ECCV2018 Paper: TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

tface icon tface

A trusty face recognition research platform developed by Tencent Youtu Lab

tiny-dnn icon tiny-dnn

header only, dependency-free deep learning framework in C++11

toolbox icon toolbox

Piotr's Image & Video Matlab Toolbox

torch2trt icon torch2trt

convert torch module to tensorrt network or tvm function

torchdistill icon torchdistill

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

transformers icon transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

triplet icon triplet

Re-implementation of tripletloss function in FaceNet

tvm icon tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

ufpr-admr-v1-dataset icon ufpr-admr-v1-dataset

UFPR-ADMR-v1: a dataset for image-based automatic meter reading containing 2,000 dial meter images obtained on-site by employees of the Energy Company of Paraná (Copel), which serves more than 4 million consuming units in the Brazilian state of Paraná.

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