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attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

comparing-between-vgg-16-and-resnet-18-pretrained-models-on-concrete-cracks-identification-task

Comparing between VGG 16 and ResNet 18 Pretrained models on Concrete Cracks identification task

concrete-crack-identification-using-image-classification

concrete_cracks_detention

Identification of concrete cracks with the application of deep neural networks

crack_detection_mask-rcnn

Cracks in concrete structures create lots of problems especially in old buildings; timely identification and curing the cracks which has occurred on concrete can help in increasing the life time of the buildings. We have develop a system to identify and spot crack(s) in civil structures.

crackidentificationevaluation-via-deeplearning

Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification

cracksegmentationdeeplearning

Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method obtained SOTA results on Crack500 dataset

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

image_class

基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

python_platerecogntion

python opencv 车牌识别 PlateRecogntion

resnet-tensorflow

Simple Tensorflow implementation of pre-activation ResNet18, 34, 50, 101, 152

resnet18-weights

ImageNet Weights for ResNet18 along with its architecture.

road-fault-identification-thesis

1. Identifying road cracks from images. 2. Identifying road networks from a distance for faster and cheaper analysis.

simpleaicv_pytorch_training_examples_on_imagenet_coco_ade20k

SimpleAICV:pytorch training and testing examples on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012/CIFAR100/AED20K datasets.Include classification/object detection/distillation/contrastive learning/masked image modeling.

surface-defect-detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

tensorflow

An Open Source Machine Learning Framework for Everyone

vision

Datasets, Transforms and Models specific to Computer Vision

website

Kubernetes website and documentation repo: