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chaocunchen's Projects

chinese_ocr icon chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

detr icon detr

End-to-End Object Detection with Transformers

facealgorithm icon facealgorithm

face detection face recognition包含人脸检测(retinaface,yolov5face,yolov7face,yolov8face),人脸检测跟踪(ByteTracker),人脸角度计算(Face_Angle)人脸矫正(Face_Aligner),人脸识别(Arcface),口罩检测(MaskRecognitiion),年龄性别检测(Gender_age),静默活体检测(Silent_Face_Anti_Spoofing),FaceAlignment(106keypoints)

facequality icon facequality

An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition

fas-sgtd icon fas-sgtd

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

fay icon fay

Fay是一个完整的开源项目,包含Fay控制器及数字人模型,可灵活组合出不同的应用场景:虚拟主播、现场推销货、商品导购、语音助理、远程语音助理、数字人互动、数字人面试官及心理测评、贾维斯、Her。 开源项目,非产品试用!!!

grounded-segment-anything icon grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

hagrid icon hagrid

HAnd Gesture Recognition Image Dataset

hrnet-facial-landmark-detection icon hrnet-facial-landmark-detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

hybridsort icon hybridsort

[AAAI2024]Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

hyperlpr icon hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

lite.ai.toolkit icon lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv5. MNN, NCNN, TNN, ONNXRuntime.

lpr-plate-recoginition icon lpr-plate-recoginition

车牌识别训练模型代码,基于ocr识别,覆盖了训练模型代码,以及Android主板识别代码,数据集来源于ccpd:温馨提示,数据集大多数是安徽车牌,为了提高识别精度,请收集各省数据重新训练提高精度

map icon map

目标检测指标mAP python测试代码实现

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