liuyundong-2020

liuyundong-2020's Stars

• WangRongsheng/KDAT

  💥一个专为视觉方向目标检测全流程的标注工具集，全称：Kill Object Detection Annotation Tools。

  Language:Python6918

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k479

• Shank2358/NPMMR-Det

  This is a PyTorch implementation of NPMMR-Det

  Language:Python473

• Shank2358/GGHL

  This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

  Language:Python623112

• Shank2358/LO-Det

  This is a PyTorch implementation of LO-Det

  Language:Python382

• Sharpiless/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  91

• murufeng/CVPR_2021_Papers

  CVPR2021最新论文汇总，主要包括：Transformer, NAS，模型压缩，模型评估，图像分类，检测，分割，跟踪，GAN，超分辨率，图像恢复，去雨，去雾，去模糊，去噪，重建等等

  61196

• amitness/papers-with-video

  A browser extension that links video explanations to research papers on arxiv.org

  Language:JavaScript41329

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13k1.4k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.6k2.6k

• CVUsers/Auto_maker

  大家好，这是cv调包侠开源原创项目，您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成，包括：实时数据采集、自动标注、转换、增强，并可以直接进行yolov3、yolov4、yolov5、eficientdet等，它可以直接导出到onnx，通过openvino和tensor-RT加速，除了检测外，还支持分类算法，可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~

  Language:Python19039

• positive666/yolo_research

  based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C

  Language:Python752143

• bubbliiiing/faster-rcnn-pytorch

  这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

  Language:Python1.5k352

• CopyPlusPlus/CopyPlusPlus

  让复制更加简单！

  Language:C#90364

• pprp/datawhale_cv_competition

  布匹缺陷识别练习赛

  Language:Python4510

• XingZeng307/YOLOv5_with_BiFPN

  Language:Python7715

• pprp/SimpleCVReproduction

  Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

  Language:Jupyter Notebook1.2k310