1327 Open source projects that are alternatives of or similar to Tensornets

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Full implementation of YOLOv3 in PyTorch

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Gluon to PyTorch deep neural network model converter

Convert JSON annotations into YOLO format.

No description or website provided.

caffe based mobilenet v2 deploy

No description or website provided.

using yolox+deepsort for object-tracking

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

The back-end for the YOLOv3 object detector running as a webapp

Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

Go bindings for Darknet (YOLO v4 / v3)

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

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

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

practice on CIFAR10 with Keras

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

MobileNetV2_YOLOV3 for ncnn framework

Convert any classification model or architecture trained in keras to an object detection model

Label images and video for Computer Vision applications

yolov3 with mobilenetv2 and efficientnet

YOLO Object detection with OpenCV and Python.

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

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

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Implement YOLOv3 with TensorFlow

Using yolo v3 object detection on ios platform.

PyTorch to Keras model convertor

Inflated 3D ConvNets for video understanding

Object Detection API Tensorflow

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

YOLO for object detection tasks

YOLOv3 implementation in TensorFlow 2.3.1

YOLO for object detection tasks

PyTorch to Keras model convertor

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

YOLO ModelCompression MultidatasetTraining

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

A photo OCR project aims to output DMS messages contained in sign structure images.