989 Open source projects that are alternatives of or similar to Nanodet

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

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

Pre-trained Deep Learning models and demos (high quality and extremely fast)

🙄 Difficult algorithm, Simple code.

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

YOLO for object detection tasks

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

yolo(all versions) implementation in keras and tensorflow 2.4

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

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

PyTorch implementation of the YOLO (You Only Look Once) v2

Jetson Nano image with deep learning frameworks

A collection of deep learning models (PyTorch implemtation)

This is a repository for an object detection inference API using the Tensorflow framework.

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

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.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Open Toolkit for Painless Object Detection

An Unsupervised Learning Framework for Moving Object Detection From Videos

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

SWA Object Detection

A paper list of object detection using deep learning.

A PaddlePaddle version image model zoo.

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt

Google Brain AutoML

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

This is a list of awesome articles about object detection from video.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Perception toolkit for sim2real training and validation

Self hosted alternative to Google Photos

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

OpenMMLab Detection Toolbox and Benchmark

Implement of Openpose use Tensorflow

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Deep Learning toolkit for Computer Vision.

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

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

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Arm Machine Learning tutorials and examples

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available