403 Open source projects that are alternatives of or similar to caffe-mobilenet_v2

No description or website provided.

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

Caffe Implementation of Google's MobileNets (v1 and v2)

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A caffe implementation of mobilenet's depthwise convolution layer.

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

No description or website provided.

Repository for "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation".

Multiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.

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

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

High level network definitions with pre-trained weights in TensorFlow

MobileNet-v2 experimental network description for caffe

Object localization in images using simple CNNs and Keras

MobileNetV3 in pytorch and ImageNet pretrained models

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

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

A caffe implementation of MobileNet-YOLO detection network

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

No description or website provided.

arcface and retinaface model convert mxnet to onnx.

crnn.caffe

Caffe implementation for "Guided Optical Flow Learning"

Try to implement deeplab v3+ on pytorch according to offical demo.

The Wandering Dreamer: An Synthetic Feedback Loop

No description or website provided.

Training Low-bits DNNs with Stochastic Quantization

A Deep Learning Framework customized for Sunway TaihuLight

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

Xception implemented with caffe

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

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

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

Light-weight Single Person Pose Estimator

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

Implemetation of Pyramid Scene Parsing Network in Pytorch

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

Mxnet2Caffe_Tensor RT

A Caffe Implementation of SRGAN

The U-Net Segmentation server (caffe_unet) for Docker

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

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

The SimNets Architecture's Implementation in Caffe

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

🎯 保姆级深度学习从入门到放弃 🤪 🤪

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

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

An open-source food image embedding model

Caffe Wide-Residual-Network (WRN) Generator

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

VGG16 architecture with BatchNorm

Re-implementation of tripletloss function in FaceNet

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:

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

Convert image folder to lmdb, adapted from Efficient-PyTorch

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

Modified RefineDet