743 Open source projects that are alternatives of or similar to ML_IDCard_Segmentation-TF-Keras

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Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

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An awesome semantic segmentation model that runs in real time

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The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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segmentation paper reading notes

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

Pytorch code for semantic segmentation using ERFNet

Segmentation models with pretrained backbones. PyTorch.

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WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

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An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Cut and paste augmentation for object detection and instance segmentation

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

HyperSeg - Official PyTorch Implementation

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Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

Dictionary Learning for image processing

OpenMMLab Model Compression Toolbox and Benchmark.

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

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deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

地理编码技术，提供地址标准化和相似度计算。

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Find common, removed and added element between two collections.