Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
Computer Vision Guide
[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing
🌮 Trash Annotations in Context Dataset Toolkit
This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
YOLO: You only look once real-time object detector
After Apple’s introduction of ARKit 2, we have been consistently working behind to create shared-AR experiences. Our goal is to improve the utility of mobile using AR experiences.
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
weakly-supervised object detection platform.
D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)
PyTorch implementation of several SSD based object detection algorithms.
The remake of the https://github.com/biubug6/Pytorch_Retinaface
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Self hosted alternative to Google Photos
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Object detection tracking
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
PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference
Object detection on multiple datasets with an automatically learned unified label space.
Lfd A Light And Fast Detector
LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.
Image segmentation - general superpixel segmentation & center detection & region growing
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
Deep Learning toolkit for Computer Vision.
reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.
Cnn From Scratch
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage
Yolov4 Custom Functions
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Ros people object detection tensorflow
An extensive ROS toolbox for object detection & tracking and face/action recognition with 2D and 3D support which makes your Robot understand the environment
🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
TensorFlow implementation of the YOLO (You Only Look Once)
Traffic Sign Detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Marvel - Face Recognition With Android & OpenCV
Nas fpn tensorflow
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
thor: C++ helper library, for deep learning purpose
Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
Self-hosted NVR with object detection
Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
Py R Fcn Multigpu
Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe