165 Open source projects that are alternatives of or similar to faster_rcnn

A Network for detecting and classifying vehicle's front and rear

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method

ODAM - Object detection and Monitoring

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Deep neural network to extract intelligent information from invoice documents.

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

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

Detect and track vehicles in video

Detect vehicles in a video

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Udacity Self-Driving Car Engineer Nanodegree projects.

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

Implementation of Very Deep Convolutional Neural Network for Text Classification

This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.

Some State-of-the-Art few shot learning algorithms in tensorflow 2

Kervolution implementation using TF2.0

Vehicle Detection by Haar Cascades with OpenCV

KITTI data processing and 3D CNN for Vehicle Detection

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

Detect Covid-19 with Chest X-Ray Data

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

Keras MNIST for Handwriting Detection

Vehicle detection and tracking using linear SVM classifier

This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

OpenCV implementation of lane and vehicle tracking

Deep learning models for guitar amp/pedal emulation using LSTM with Keras.

No description or website provided.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Vehicle Detection with Convolutional Neural Network

Distributed Keras Engine, Make Keras faster with only one line of code.

15+ Machine/Deep Learning Projects in Ipython Notebooks

C3D for Keras + TensorFlow

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

rstudio::conf(2020) deep learning workshop

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

lock mechanism with face recognition and liveness detection

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

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

A End to End CNN Model which predicts the steering wheel angle based on the video/image

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Vehicle Detection, Tracking and Counting

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

Self driving car in GTAV with Deep Learning

Implementation of a Neural Network that can detect whether a video is in-game or not

I am taking up the #100DaysOfMLCode Challenge 😎

Vehicle detection using YOLO in Keras runs at 21FPS