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luminoth - Deep Learning toolkit for Computer Vision
Luminoth is an open source toolkit for computer vision. Currently, we support object detection, but we are aiming for much more. It is built in Python, using TensorFlow and Sonnet. Read the full documentation here.
tensorflow sonnet deep-learning computer-vision object-detection machine-learning toolkit faster-rcnngluon-cv - Gluon CV Toolkit
GluonCV provides implementations of the state-of-the-art (SOTA) deep learning models in computer vision.
deep-learning computer-vision neural-network gluon mxnet machine-learning image-classification object-detection semantic-segmentationMask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone. The code is documented and designed to be easy to extend. If you use it in your research, please consider citing this repository (bibtex below). If you work on 3D vision, you might find our recently released Matterport3D dataset useful as well. This dataset was created from 3D-reconstructed spaces captured by our customers who agreed to make them publicly available for academic use. You can see more examples here.
mask-rcnn tensorflow object-detection instance-segmentation keraspytorch-yolo-v3 - A PyTorch implementation of the YOLO v3 object detection algorithm
[UPDATE] : This repo serves as a driver code for my research. I just graduated college, and am very busy looking for research internship / fellowship roles before eventually applying for a masters. I won't have the time to look into issues for the time being. Thank you. This repository contains code for a object detector based on YOLOv3: An Incremental Improvement, implementedin PyTorch. The code is based on the official code of YOLO v3, as well as a PyTorch port of the original code, by marvis. One of the goals of this code is to improve upon the original port by removing redundant parts of the code (The official code is basically a fully blown deep learning library, and includes stuff like sequence models, which are not used in YOLO). I've also tried to keep the code minimal, and document it as well as I can.
yolov3 yolo object-detection pytorchYOLO_v3_tutorial_from_scratch - Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
About when is the training code coming? I have my undergraduate thesis this May, and will be busy. So, you might have to wait for a till the second part of May.
pytorch-tutorial pytorch-implmention object-detection yolo yolov3darkflow - Translate darknet to tensorflow
Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In case the weight file cannot be found, I uploaded some of mine here, which include yolo-full and yolo-tiny of v1.0, tiny-yolo-v1.1 of v1.1 and yolo, tiny-yolo-voc of v2.
tensorflow graph darknet deep-learning deep-neural-networks convolutional-neural-networks convolutional-networks image-processing object-detection machine-learning real-time mobile-developmenttf-faster-rcnn - Tensorflow Faster RCNN for Object Detection
For a good and more up-to-date implementation for faster/mask RCNN with multi-gpu support, please see the example in TensorPack here. A Tensorflow implementation of faster RCNN detection framework by Xinlei Chen (xinleic@cs.cmu.edu). This repository is based on the python Caffe implementation of faster RCNN available here.
tensorflow object-detection faster-rcnn coco voc resnet mobilenet tensorboardjetson-inference - Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson
Welcome to our training guide for inference and deep vision runtime library for NVIDIA DIGITS and Jetson Xavier/TX1/TX2. This repo uses NVIDIA TensorRT for efficiently deploying neural networks onto the embedded platform, improving performance and power efficiency using graph optimizations, kernel fusion, and half-precision FP16 on the Jetson.
deep-learning inference computer-vision embedded image-recognition object-detection segmentation jetson jetson-tx1 jetson-tx2simpledet - A Simple and Versatile Framework for Object Detection and Instance Recognition
Everything is configurable from the config file, all the changes should be out of source. One experiment is a directory in experiments folder with the same name as the config file.
mxnet object-detection instance-segmentationmxnet-ssd - MXNet port of SSD: Single Shot MultiBox Object Detector
SSD is an unified framework for object detection with a single network. You can use the code to train/evaluate/test for object detection task.
object-detectioneasy-tensorflow - Simple and comprehensive tutorials in TensorFlow
The goal of this repository is to provide comprehensive tutorials for TensorFlow while maintaining the simplicity of the code. Each tutorial includes a detailed explanation (written in .ipynb) format, as well as the source code (in .py format).
deep-learning tensorflow reinforcement-learning machine-learning pattern-recognition object-detection convolutional-neural-networks recurrent-neural-networks neural-networkawesome-object-detection - Awesome Object Detection based on handong1587 github: https://handong1587
This is a list of awesome articles about object detection.
object-detection detection computer-vision deep-learning object-localisationdaily-paper-computer-vision - 记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
paper deep-learning computer-vision machine-learning face-detection object-detectionRefineDet - Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018
By Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li. We propose a novel single-shot based detector, called RefineDet, that achieves better accuracy than two-stage methods and maintains comparable efficiency of one-stage methods. You can use the code to train/evaluate the RefineDet method for object detection. For more details, please refer to our paper.
object-detectionsod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.
computer-vision library deep-learning image-processing object-detection cpu real-time convolutional-neural-networks recurrent-neural-networks face-detection facial-landmarks machine-learning-algorithms image-recognition image-analysis vision-framework embedded detection iot-device iotImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
A python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. Built with simplicity in mind, ImageAI supports a list of state-of-the-art Machine Learning algorithms for image prediction, custom image prediction, object detection, video detection, video object tracking and image predictions trainings. ImageAI currently supports image prediction and training using 4 different Machine Learning algorithms trained on the ImageNet-1000 dataset. ImageAI also supports object detection, video detection and object tracking using RetinaNet, YOLOv3 and TinyYOLOv3 trained on COCO dataset. Eventually, ImageAI will provide support for a wider and more specialized aspects of Computer Vision including and not limited to image recognition in special environments and special fields.
artificial-intelligence machine-learning prediction image-prediction python3 offline-capable imageai artificial-neural-networks algorithm image-recognition object-detection squeezenet densenet video inceptionv3 detection gpu ai-practice-recommendationstensorlayer - Deep Learning and Reinforcement Learning Library for Developers and Scientists
TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides a large collection of customizable neural layers / functions that are key to build real-world AI applications. TensorLayer is awarded the 2017 Best Open Source Software by the ACM Multimedia Society. Simplicity : TensorLayer lifts the low-level dataflow interface of TensorFlow to high-level layers / models. It is very easy to learn through the rich example codes contributed by a wide community.
tensorlayer deep-learning tensorflow machine-learning data-science neural-network reinforcement-learning artificial-intelligence gan a3c tensorflow-tutorials dqn object-detection chatbot tensorflow-tutorial imagenet googlealbumentations - fast image augmentation library and easy to use wrapper around other libraries
You can use this Google Colaboratory notebook to adjust image augmentation parameters and see the resulting images.
image-augmentation machine-learning augmentation deep-learning detection fast-augmentations segmentation image-segmentation image-processing image-classification object-detectionautoml - Google Brain AutoML
This repository contains a list of AutoML related models and libraries.
automl efficientdet object-detection detection efficientnettf_trt_models - TensorFlow models accelerated with NVIDIA TensorRT
This repository contains scripts and documentation to use TensorFlow image classification and object detection models on NVIDIA Jetson. The models are sourced from the TensorFlow models repository and optimized using TensorRT. Flash your Jetson TX2 with JetPack 3.2 (including TensorRT).
neural-network tensorflow models realtime inference optimize nvidia image-classification object-detection train tx1 jetson tensorrt tx2
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