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jinqi2376's Projects

adabins icon adabins

Official implementation of Adabins: Depth Estimation using adaptive bins

attention-module icon attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

avod icon avod

Code for 3D object detection for autonomous driving

avod-ssd icon avod-ssd

Code for 3D single stage object detection for autonomous driving

backgroundsplit-opencv icon backgroundsplit-opencv

This repository is the C++ Source Code of several algorithms of Extracting Background, which are based on OpenCV libraries after I learn about the theory of these algorithms(including Frame-Difference, Gauss-Background-Difference, ViBe algorithms).

bytetrack icon bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

cadepth-master icon cadepth-master

[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation

caffe-yolov3 icon caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe

carteller icon carteller

汽车识别(包括车牌、车型、车品牌、属性、及驾驶员违规行为识别检测)

centerfusion icon centerfusion

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

civitai icon civitai

A repository of models, textual inversions, and more

codepool icon codepool

代码池,保存平时写的demo、工具类、小项目。

complex-yolov4-pytorch icon complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

darknet icon darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deeplearning icon deeplearning

Python for “Deep Learning”,《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为17个章节,20多万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

detecto icon detecto

Build fully-functioning computer vision models with PyTorch

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