Cxiada

Cxiada's Stars

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python27k2336473.4k

• shengcaishizhan/kkndme_tianya

  天涯 kkndme 神贴聊房价

  18.4k244733.8k

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python13.7k1289551.6k

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python7.8k1302961.5k

• facebookresearch/DensePose

  A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

  Language:Jupyter Notebook6.9k2502501.3k

• TachibanaYoshino/AnimeGANv2

  [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

  Language:Python5k6062705

• daquexian/onnx-simplifier

  Simplify your onnx model

  Language:C++3.7k52296376

• DefTruth/lite.ai.toolkit

  🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.

  Language:C++3.5k69261672

• google-research/kubric

  A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

  Language:Jupyter Notebook2.2k42184218

• dog-qiuqiu/Yolo-Fastest

  :zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

  Language:C2k4973428

• lucasb-eyer/pydensecrf

  Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

  Language:C++1.9k40106411

• JimmyHHua/opencv_tutorials

  Opencv4.0 with python (English&中文)， and will keep the update ! 👊

  Language:Python1.8k276441

• svip-lab/impersonator

  PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

  Language:Python1.7k6577318

• ericsujw/InstColorization

  Language:Jupyter Notebook7092444151

• YimianDai/open-aff

  code and trained models for "Attentional Feature Fusion"

  Language:Python69284294

• aditya-vora/FCHD-Fully-Convolutional-Head-Detector

  Code for FCHD - A fast and accurate head detector

  Language:Python6432967182

• ilovepose/DarkPose

  Distribution-Aware Coordinate Representation for Human Pose Estimation

  Language:Cuda546294080

• zczcwh/DL-HPE

  45815140

• Fang-Haoshu/Halpe-FullBody

  Halpe: full body human pose estimation and human-object interaction detection dataset

  Language:Jupyter Notebook31791332

• hellojialee/Improved-Body-Parts

  Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

  Language:Python26093942

• youzhonghui/gate-decorator-pruning

  Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"

  Language:Jupyter Notebook193102527

• songwsx/RFSong-7993

  设计的轻量级RFB进行行人检测，AP达到0.7993，参数量仅有3.1MB，200 FPS

  Language:Python1749950

• fxmeng/Pruning-Filter-in-Filter

  Pruning Filter in Filter(NeurIPS2020)

  Language:Python16732230

• MrGF/py-faster-rcnn-windows

  py-faster-rcnn that can compile on windows directly

  Language:Cuda13553471

• wangziren1/pytorch_pose_proposal_networks

  Pytorch implementation of pose proposal networks

  Language:Python10491123

• Sentient07/HeadHunter

  Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.

  Language:Python10173021

• bindog/onnx-surgery

  Language:Python792518

• sailyung/human-pose-estimation

  simple and lightweight humanpose estimation

  Language:Python59079

• jw9730/ori-giou

  GIoU for rotated bounding boxes, vectorized and differentiable

  Language:Python36234

• zengwb-lx/Face_Mask_Add

  Language:Python20152