Zmoonzxz

Zmoonzxz's Stars

• mainite/VideoSlim

  VideoSlim 一款无损的视频压缩工具

  Language:Python9210

• tukilabs/Video-Compression-Net

  A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frames to reduce the bit rate along with the minimization of distortions in decoded frames. We implement a neural network version of conventional video compression approach and encode the redundant frames with lower number of bit.

  Language:Jupyter Notebook2612

• anchen1011/toflow

  TOFlow: Video Enhancement with Task-Oriented Flow

  Language:MATLAB43691

• microsoft/DCVC

  Deep Contextual Video Compression

  Language:Python41268

• hmkx/HiNeRV

  Language:Python487

• RenYang-home/OpenDVC

  Language:Python22138

• InterDigitalInc/CompressAI

  A PyTorch library and evaluation platform for end-to-end compression research

  Language:Python1.2k232

• BYchao100/Deep-Lossy-Plus-Residual-Coding

  Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression (TPAMI'24, Journal Extension of our CVPR'21 work)

  Language:Python15

• Longqi-S/Focal-Loss

  The implementation of Focal-Loss Using Caffe

  Language:C++3719

• developmentseed/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++62

• TommyZihao/Label2Everything

  常见计算机视觉标注格式相互转换

  Language:Jupyter Notebook46892

• rockchip-linux/rknpu2

  Language:C661134

• leafqycc/rknn-cpp-Multithreading

  A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

  Language:C47688

• leafqycc/rknn-multi-threaded

  A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。

  Language:Python24043

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java101k12.7k

• foss-for-synopsys-dwc-arc-processors/synopsys-caffe-models

  Caffe models for use with Synopsys DesignWare EV6x Processors

  Language:Python4132

• alexgkendall/SegNet-Tutorial

  Files for a tutorial to train SegNet for road scenes using the CamVid dataset

  Language:Python856519

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.3k2.5k

• CoinCheung/BiSeNet

  Add bisenetv2. My implementation of BiSeNet

  Language:Python1.5k314

• Wulingtian/yolov5_onnx2caffe

  yolov5 onnx caffe

  Language:Python11337

• vadimkantorov/caffemodel2pytorch

  Convert Caffe models to PyTorch

  Language:Python38984

• hahnyuan/nn_tools

  Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.

  Language:Python35563

• WoodsGao/pytorch2caffe

  A module to convert pytorch model to caffe model.

  Language:Python6615

• delta-onera/segnet_pytorch

  SegNet implemetation using PyTorch

  Language:Python14948

• inisis/brocolli

  Everything in Torch Fx

  Language:Python34163

• LoyalWilliams/python-learning

  Language:Python1516

• njvisionpower/Safety-Helmet-Wearing-Dataset

  Safety helmet wearing detect dataset, with pretrained model

  Language:Python1.5k408

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.9k697

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python33.3k6.4k

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13.4k4.2k