hyaihjq's repositories

NanoDet-TensorRT

Nanodet TensorRT demo C++ version

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RSA

Official Pytorch Implementation of Relational Self-Attention, NeurIPS 2021

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ACELoss

Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"

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active-boundary-loss

Official repository for Active Boundary Loss for Semantic Segmentation.

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chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

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EasyFace

A lightweight face recognition, high accuracy, real-time, cross-platform

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EOD

Easy and Efficient Object Detector

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labelbox-python

Labelbox Python Client

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mmdeploy

MMDeploy is an open-source deep learning model deployment toolset

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mnn-yolov5

Imported from https://gitee.com/techshoww/mnn-yolov5.

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mobile-lpr

Mobile-LPR 是一个面向移动端的准商业级车牌识别库,以NCNN作为推理后端,使用DNN作为算法核心,支持多种车牌检测算法,支持车牌识别和车牌颜色识别。

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multiyolov5

joint detection and semantic segmentation, based on ultralytics/yolov5,

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nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

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nanodet_rknn

nanodet_rknn on rk3399pro platform

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OneNet

OneNet: End-to-End One-Stage Object Detection

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PointPillars_MultiHead_40FPS

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

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pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

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SegLoss

A collection of loss functions for medical image segmentation

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Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

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TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

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Ultra_Fast_Lane_Detection_TensorRT

An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI to accelerate. our model support for int8, dynamic input and profiling. (TRT-hackathon2021)

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yolov5-1

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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yolov5_ncnn_ubuntu

yolov5_ncnn in ununtu16.04

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yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

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YOLOX-Slim

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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