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A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
合作课题612
Cross Stage Partial Networks
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
deep learning for image processing including classification and object-detection etc.
基于Tensorflow2的深度学习开源书籍
Realize dynamic drone recognition in video using python+opencv
Implement of vehicle flow statistics based on tensorflow and yolo3. New version with GUI: https://github.com/LeiWang1999/VehicleFlowDetection
Pytorch🍊🍉 is delicious, just eat it! 😋😋
A TensorFlow implementation of HRNet for facial landmark detection.
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
A pure torch implement of FCOS 37.2AP
detailed annotation about the FCOS code
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测,烟雾检测
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
基于hrnet的backbone改进centernet
HRNet implementation in TensorFlow. Original Paper: https://arxiv.org/abs/1902.09212
High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
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
HRNet 的Tensorflow实现
A tensorflow2 implementation of HRNet for human pose estimation.
书生浦语大模型实战营6班作业
YOLO v3 物体检测算法
A Keras implementation of YOLOv3 (Tensorflow backend)
I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
Deploy trained yolo3 on TX2 for multi-stream video processing
yolov3; keras; object detection; data augmentation
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.