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Joe's Projects

abinet icon abinet

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

acwe icon acwe

Python implementation of paper Active Contour Without Edges

aforge.net icon aforge.net

AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.

autodeeplab icon autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

awesome-semantic-segmentation-pytorch icon awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bisenet icon bisenet

Add bisenetv2. My implementation of BiSeNet

chinese_ocr icon chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

crnn icon crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

csi-camera icon csi-camera

Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Nano Developer Kit

cvat icon cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

dbnet-lite.pytorch icon dbnet-lite.pytorch

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

dbnet.pytorch icon dbnet.pytorch

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

deepinteractivesegmentation icon deepinteractivesegmentation

Getting to 99% Accuracy in Interactive Segmentation and Interactive Training and Architecture for Deep Object Selection

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