286 Open source projects that are alternatives of or similar to caffe_example

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Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Convert image folder to lmdb, adapted from Efficient-PyTorch

arcface and retinaface model convert mxnet to onnx.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

🎯 保姆级深度学习从入门到放弃 🤪 🤪

Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:

Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

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XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe

Domain Guided Dropout for Person Re-identification

在caffe应用到工程实现时，为了方便系统安装，需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起，以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件，就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过

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VGG16 architecture with BatchNorm

The U-Net Segmentation server (caffe_unet) for Docker

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe

A Big Awesome List CoreML Models.

An open-source food image embedding model

Squeeze-and-Excitation Networks

Caffe implementation for "Guided Optical Flow Learning"

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

pytorch to caffe by onnx

ID-discriminative Embedding (IDE) for Person Re-identification

Implemetation of Pyramid Scene Parsing Network in Pytorch

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

OpenCV based DNN Object Detection Library for Openframeworks

Multiple ColorChecker Detection. This code implements a multiple colorChecker detection method, as described in the paper Fast and Robust Multiple ColorChecker Detection.

The SimNets Architecture's Implementation in Caffe

Training Low-bits DNNs with Stochastic Quantization

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A small tool to dump Caffe's *.caffemodel to JSON for inspection

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[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"

Semantically consistent regularizer for zero-shot learning

Modified RefineDet

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MobileNetV3 SSD的简洁版本

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Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

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The code for preparing the training data for crowd counting / segmentation algorithm.

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Xception implemented with caffe

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No description or website provided.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

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Implement popular models by different DL framework. Such as tensorflow and caffe

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

No description or website provided.

A Deep Learning Framework customized for Sunway TaihuLight