1348 Open source projects that are alternatives of or similar to DLCV2018SPRING

The collection of pre-trained, state-of-the-art AI models for ailia SDK

📚 A collection of papers about Referring Image Segmentation.

Segmentation models with pretrained backbones. PyTorch.

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OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Model for document segmentation trained on the midv-500-models dataset.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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A lightweight face-recognition toolbox and pipeline based on tensorflow-lite

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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

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

CRF-RNN Keras/Tensorflow version

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.)

End-to-end image segmentation kit based on PaddlePaddle.

Winning solution for the Kaggle TGS Salt Identification Challenge.

Deep Face Model Compression

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

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Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

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ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

Keras BiseNet architecture implementation

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Gluon CV Toolkit

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

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Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

常用的语义分割架构结构综述以及代码复现

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Facematch is a tool to verifies if two photos contain the same person.

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

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Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据

Hypraptive BearID project. FaceNet for bears.

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

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Fashion item segmentation with deep learning

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.