1404 Open source projects that are alternatives of or similar to Fire Detection Cnn

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

deeplearning.ai , By Andrew Ng, All video link

🙄 Difficult algorithm, Simple code.

Keras tutorial for beginners (using TF backend)

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

Lets Learn AI

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

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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

🎨 🎨 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/

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Medical image registration using deep learning

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

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

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

This is a repo for training and implementing the mobilenet-ssd v2 to tflite with c++ on x86 and arm64

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.

Curated Tensorflow code resources to help you get started with Deep Learning.

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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

Simpler app for tensorflow object detection API

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

PyTorch implementation of Super SloMo by Jiang et al.

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

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

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.

yolo(all versions) implementation in keras and tensorflow 2.4

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Best Practices, code samples, and documentation for Computer Vision.

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

🚀 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!

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

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

Open Toolkit for Painless Object Detection

A paper list of object detection using deep learning.

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

A binary library for very fast face detection using compact CNNs.

Be Driven 🚘

YoloV3 Implemented in Tensorflow 2.0

An Unsupervised Learning Framework for Moving Object Detection From Videos

Deep learning codes and projects using Python

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Weakly Supervised Deep Detection Networks (CVPR 2016)

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

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

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

📖 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.

PyTorch implementation of several SSD based object detection algorithms.

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

Simple and comprehensive tutorials in TensorFlow

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

RAD: Reinforcement Learning with Augmented Data

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