Metadata-Version: 2.1
Name: cvnet
Version: 0.1.1
Summary: Fast Use Computer Vision Tools
Home-page: https://github.com/shibing624/cvnet
Author: XuMing
Author-email: xuming624@qq.com
License: Apache 2.0
Description: # cvnet
        Build Model for Computer Vision(CV) Neural Network.
        
        ## 图像分类
        
        
        ## 图像分割
        
        - 语义分割
        - 实例分割
        - 全景分割
        
        ### 技术演化路径
        
        1. 2010年前，传统分割：1）边缘检测；2）遗传算法
        2. 2010-2015年，机器学习：1）随机森林；2）支持向量机
        3. 2015年后，深度学习：1）经典分割算法：FCN, U-Net, SegNet, DeepLab; 2)实时分割算法：ENet, LinkNet, BiSeNet, DFANet, Light-Weight RefineNet; 3)RGB-D分割算法：RedNet, RDFNet
        
        
        ### Networks implemented
        
        * [PSPNet](https://arxiv.org/abs/1612.01105) - With support for loading pretrained models w/o caffe dependency
        * [ICNet](https://arxiv.org/pdf/1704.08545.pdf) - With optional batchnorm and pretrained models
        * [FRRN](https://arxiv.org/abs/1611.08323) - Model A and B
        * [FCN](https://arxiv.org/abs/1411.4038) - All 1 (FCN32s), 2 (FCN16s) and 3 (FCN8s) stream variants
        * [U-Net](https://arxiv.org/abs/1505.04597) - With optional deconvolution and batchnorm
        * [Link-Net](https://codeac29.github.io/projects/linknet/) - With multiple resnet backends
        * [Segnet](https://arxiv.org/abs/1511.00561) - With Unpooling using Maxpool indices
        
        
        #### Upcoming
        
        * [E-Net](https://arxiv.org/abs/1606.02147)
        * [RefineNet](https://arxiv.org/abs/1611.06612)
        
        
        ### DataLoaders implemented
        
        * [CamVid](http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/)
        * [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/segexamples/index.html)
        * [ADE20K](http://groups.csail.mit.edu/vision/datasets/ADE20K/)
        * [MIT Scene Parsing Benchmark](http://data.csail.mit.edu/places/ADEchallenge/ADEChallengeData2016.zip)
        * [Cityscapes](https://www.cityscapes-dataset.com/)
        
        ### Demo
        
        1. demo site: https://www.remove.bg/upload
        2. 演示效果：
        
        demo1:
        
        
        <img src="./docs/7.jpg" width="600" />
        
        remove background:
        
        
        <img src="./docs/7-removebg-preview.png" width="600" />
        
        
        
        demo2:
        
        
        <img src="./docs/red_car.png" width="600" />
        
        remove background:
        
        
        <img src="./docs/red_car-removebg-preview.png" width="600" />
        
        
        # Reference
        1. [ClassyVision](https://github.com/facebookresearch/ClassyVision)
        2. [Deep-Learning-Project-Template](https://github.com/L1aoXingyu/Deep-Learning-Project-Template)
        3. [pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)
        4. [torchcv](https://github.com/donnyyou/torchcv)
        5. [pytorch-cnn-finetune](https://github.com/creafz/pytorch-cnn-finetune)
        6. [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
Keywords: Computer Vision,CV,image_classification,object_detection,gan,ocr,vae,cls,style_transfer
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: Chinese (Simplified)
Classifier: Natural Language :: Chinese (Traditional)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
