CenterNet used for pedestrian detection
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Updated
May 31, 2019 - Python
CenterNet used for pedestrian detection
This project is to re-identify person from multiple cameras
5th place solution for the Kaggle Kuzushiji Recognition Challenge
Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.
Kaggle Kuzushiji Recognition: code for the 8th place solution.
Code (PyTorch 1.0) for the paper "CenterNet: Keypoint Triplets for Object Detection" .
In blend of blends we trust...
Code for Kaggle Competition, Peking University/Baidu - Autonomous Driving, ranking 52/866
3D car detection competition on Kaggle : https://www.kaggle.com/c/pku-autonomous-driving/overview
pytorch 使用centernet进行 人脸检测Face Detection (bbox + landmark)、 船只检测SeaShips Detection
Experiments based on CenterNet (more backbones, TensorRT deployment and mask head)
实时车辆行人交通流计数Real-time Vehicle and Pedestrian Counting (CenterNet)
using ncnn to deploy centerface on Android
Instance Segmentation based on CenterNet and CondInst
This is a hybrid variety of detection models which is inspired from bothe centrenet and EfficientDet. This model is as fast as centrenet and much accurate due to the fusion blocks.
Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
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