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csldali's Projects

ml_demo icon ml_demo

一些机器学习算法的demo,mnist数据集,验证码识别。tensorflow, cnn,knn。

mnist-bn icon mnist-bn

Using slim to perform batch normalization

mobilenet-ssd icon mobilenet-ssd

About object detection(mobileNet-ssd) tensorflow/language:c++

mtcnn_facedetection icon mtcnn_facedetection

期末课设_深度学习解决计算机视觉问题_基于MTCNN深度级联神经网络的人脸实时检测,By TensorFlow,with Gui

multi-task-learning icon multi-task-learning

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

mv3d icon mv3d

Multi-View 3D Object Detection Network for Autonomous Driving

mvision icon mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

mx-deepim icon mx-deepim

Deep Iterative Matching for 6D Pose Estimation

mycnn icon mycnn

a simple implementation of CNN(Convolutional neural network) by C++

netron icon netron

Visualizer for neural network, deep learning and machine learning models

nowcoder icon nowcoder

牛课网练习,主要包括leetcode,剑指offer,Cracking the Coding Interview,PAT,华为上机测试,算法课程学习,一些公司笔试题目等。

openpano icon openpano

Automatic Panorama Stitching From Scratch

paddleseg icon paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

pan.pytorch icon pan.pytorch

A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

pcl icon pcl

Point Cloud Library (PCL)

person-re-identification icon person-re-identification

Detection, tracking and re-identification of people in a surveillance video to make a list of people that appeared in the video. If people leave the frame and re-appear later in the video, the model recognizes them from before and does not count them multiple times.

playground icon playground

A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.

pmnet icon pmnet

We design an end-to-end deep neural network architecture for LiDAR point cloud and 2D image point-wise feature fusion, which is suitable for directly consuming unordered point cloud. To the best of our knowledge, this is the first approach to use multimodal fusion network for aerial point cloud 3D segmentation which well respects the permutation invariance of point cloud. PMNet has an advantage over 2D based models that it can incorporate multi-view 3D scanned data if available.

pointrcnn icon pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

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