333 Open source projects that are alternatives of or similar to Mobilenetv2

caffe based mobilenet v2 deploy

[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.

No description or website provided.

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

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

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

MobileNet-v2 experimental network description for caffe

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

Data-parallel image stylization using Caffe.

TensorRT Net Wrapper

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

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

《深度学习与计算机视觉》配套代码

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

train resnet on imagenet from scratch with caffe

Reproduction of MobileNetV2 using MXNet

Transform the caffe model to pytorch model for Temporal Segment Network

SeqFace : Making full use of sequence information for face recognition

Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

Head Pose Estimator on Caffe

FeatherCNN is a high performance inference engine for convolutional neural networks.

CORe50: a new Dataset and Benchmark for Continual Learning

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

A PyTorch Implementation of MobileNetv2+DeepLabv3

Add-on package for ONNX format support in Chainer

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

vehicle image retrieval using k CNNs ensemble method

AI on Hadoop

Trojan Attack on Neural Network

Reference caffe implementation of LSUV initialization

An online GUI tool used to visualize prototxt and generate prototxt for caffe(current version).

Kaggle dogs vs cats solution in Caffe

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

Convert darknet weights to caffemodel

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

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

face detection and alignment with mtcnn

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

MobilNet-SSD object detection in opencv 3.4.1

A collection of Audio and Speech pre-trained models.

Reimplementation ResNet on cifar10 with caffe

AI智能审查，支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能，以及各种OCR识别能力，如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能，可以访问网站体验功能。

Trajectory-pooled Deep-Convolutional Descriptors

Caffe to VHDL

Noise-Tolerant Paradigm for Training Face Recognition CNNs

Active Convolution

A Computation Graph Virtual Machine Based Deep Learning Framework

🏭 Collaboratively build, visualize, and design neural nets in browser

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Deep Learning Benchmarking Suite

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Training Toolbox for Caffe

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.