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Moyan's Projects

rfsong-779 icon rfsong-779

重新设计的RFBNet300,模型参数量只有0.99MB,AP达到0.78,200FPS

segment-anything-hu-po icon segment-anything-hu-po

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segmentron icon segmentron

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

tablecell icon tablecell

在TableBank的基础上,进一步标注到单元格精度,利用目标检测/分割实现单元格定位。

third_party icon third_party

Third-party source packages that are modified for use in Triton.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

udop icon udop

Custom Implementation of UDOP based on T5 Model

vgg-or-mobilenet-ssd icon vgg-or-mobilenet-ssd

Caffe implementation of Google VGG/MobileNet/ShuffleNet SSD detection network. Ref: (https://github.com/chuanqi305/MobileNet-SSD) (https://github.com/weiliu89/caffe) SSD QQ交流群:581437405

yolov3-model-pruning icon yolov3-model-pruning

对 YOLOv3 做模型剪枝(network slimming),对于 oxford hand 数据集(因项目需要),模型剪枝后的参数量减少 80%,Infer 的速度达到原来 2 倍,mAP 基本不变

yolov5-rt-stack icon yolov5-rt-stack

yolort / yet another yolov5, with its runtime stack for libtorch, onnx, tvm, ncnn and specialized accelerators.

zcls2 icon zcls2

More Faster Object Classification Training Framework

zqcnn icon zqcnn

一款比mini-caffe更快的Forward库,觉得好用请点星啊,400星公布快速人脸检测模型,500星公布106点landmark,600星公布人头检测模型,700星公布人脸检测套餐(六种pnet,两种rnet随意混合使用满足各种速度/精度要求),800星公布更准的106点模型

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