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michaelodum's Projects

algo icon algo

数据结构和算法必知必会的50个代码实现

bi-box_regression icon bi-box_regression

Pytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018)

cancom icon cancom

code for communicating CAN messages (currently includes J2735 Truck CAN and Delphi RADAR)

cifar10-tensorflow icon cifar10-tensorflow

cifar10数据集上进行图片分类,基于tensorflow框架,旨在探究不同的改进策略对分类准确率的影响,如何一步步得提高准确率

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

densefusion icon densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

kittibox icon kittibox

A car detection model implemented in Tensorflow.

kittiseg icon kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

leetcode icon leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

models icon models

Models and examples built with TensorFlow

object3d icon object3d

Code for "6-DoF Object Pose from Semantic Keypoints", ICRA 2017

pixel2mesh icon pixel2mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

pykitti icon pykitti

Python tools for working with KITTI data.

senet-tensorflow icon senet-tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

singleshotpose icon singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

ssd.pytorch icon ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

transito-cv icon transito-cv

Traffic sign detector and classifier that uses dlib and its implementation of the Felzenszwalb's version of the Histogram of Oriented Gradients (HoG) detector

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