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alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

analysis-synthesis-deblurring

baiduimagespider

一个超级轻量的百度图片爬虫

cdvd-tsp

The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

centernet-mobilenetv3

CenterNet with MobileNetV3 backboned helmet detection based on PyTorch with inference code only.

cpcr

Repository for ECCV2020 paper "End-to-end Interpretable Learning of Non-blind ImageDeblurring".

cvpr18_rnn_deblur_matcaffe

Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks[matcaffe]

deblurgan

Image Deblurring using Generative Adversarial Networks

deblurring-by-realistic-blurring

deepdeblur-pytorch

Deep Multi-scale CNN for Dynamic Scene Deblurring

deepdeblur_release

Deep Multi-scale CNN for Dynamic Scene Deblurring

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

edpn

license_plate_recognition_pytorch

该工作由电子科技大学陈昂、刘俊凯、夏子寒同学完成。我们提出可以使用深度学习的方案对**车牌进行检测和识别。我们提出使用YOLOv3网络进行车牌检测，然后创新性地对检测后的车牌使用空间变换网络STN加以校正，最后使用LPRNet网络进行车牌的字符与数字识别。目前实测结果，在老师提供的45张数据集上，我们的YOLOv3网络检测准确率（IOU）达到98.2%，深度学习级联网络识别准确率为95.6%。我们采用大量测试集，最终我们的YOLOv3_STN_LPRNet级联网络识别准确率稳定在93.3%，不加空间变换网络STN的话，识别准确率在66%左右。 总体来说，使用深度学习的方案比传统方案效果提升的非常好，而且我们加入空间变换网络STN的做法对于提升识别准确率很有效。

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mprnet

Official repository for "Multi-Stage Progressive Image Restoration" (CVPR 2021). SOTA results for image deblurring, deraining, and denoising.

mtrnn

srn-deblur

Repository for Scale-recurrent Network for Deep Image Deblurring

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