choodly

DenseDepth

High Quality Monocular Depth Estimation via Transfer Learning

Mask-YOLO

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

centerNet-deep-sort

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

CVWC2019-Amur-Tiger-Re-ID

:trophy: Code for 1st Place Soluition in both the Tiger Re-ID in the plain track and Tiger Re-ID in the wild track (CVWC) @ ICCV19 Workshop.

darknet

Convolutional Neural Networks

deep-orientation

Fast and robust upper body orientation estimation for mobile robotic applications

EfficientNet-Light-Head-RCNN

Person Detection using the EfficientNet B0 and Light Head RCNN running at 12 FPS

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

FPN-Semantic-segmentation

use FPN to FPN-Semantic-segmentation。pytorch version

GCNv2_SLAM

Real-time SLAM system with deep features

kmeans-anchor-boxes

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

libtorch-yolov3-deepsort

mobilenetv2-yolov3

yolov3 with mobilenetv2 and efficientnet

monodepth2

Monocular depth estimation from a single image

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

Object-detection-using-yolov2-and-distance-estimation

Object detection using yolov2 and estimation of object from the camera lens

panoptic-fpn-gluon

Panoptic Feature Pyramid Networks

PanopticSegmentation-1

PKU_360 Team's fuse code! This code is used to fuse the semantic segmentation result and instance segmentation result. We won the third place in COCO2018 panoptic segmentation.

pytorch_model_integration

The project is based on pytorch and integrates the current mainstream network architecture, including VGGnet, ResNet, Densenet, MobileNet and DarkNet (YOLOv2 and YOLOv3).

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

RRPN

Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)

Semantic-Aware-Attention-Based-Deep-Object-Co-segmentation

Semantic Aware Attention Based Deep Object Co-segmentation

Ship-Collision-Avoidance

船舶自动避障文献阅读记录

Singapore-Maritime-Dataset-Trained-Deep-Learning-Models

This repository contains the training configurations for several Deep Learning models trained on the Singapore Maritime Dataset and links to the trained - ready to use - models.

Stronger-yolo

Improve yolo with latest paper

TF-Keras-ThunderNet

Object detection model thundernet tensorflow.keras implementation

traffic_monitoring

Development of Intelligent Multimodal Traffic Monitoring using Radar Sensor at Intersections

Vehicle-Detection-and-Tracking

Vehicle detection using Tensorflow Object Detection API and tracking using Kalman-filtering

VNL_Monocular_Depth_Prediction

Monocular Depth Prediction