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Search results for jupyter notebook point cloud
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point-cloud
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17 search results found
Learning Deep Learning
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943
Paper reading notes on Deep Learning and Machine Learning
Itkwidgets
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571
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
3d Point Clouds
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275
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
Pointnet
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211
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Kitti Dataset
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184
Visualising LIDAR data from KITTI dataset.
Deltaconv
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119
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
Weakly Supervised 3d Object Detection
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85
Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020
Cloudtogrid
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76
Example of converting a 2d point cloud to a 2d grid via the assignment problem.
Pugan Pytorch
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63
Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
3dgnn
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55
Detectozord
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52
utilizing PointNet+ PCL for object detection, classification and pose estimation from point clouds
Sggpoint
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34
[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)
Morphopy
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31
Point Cloud Processing
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19
A suite of scripts and easy-to-follow tutorial to process point cloud data with Python
Python For Remote Sensing
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15
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Carla Kitti
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14
CARLA-KITTI generates synthetic data from the CARLA simulator for KITTI 2D/3D Object Detection task.
Roofn3d
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14
Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds
Lane Marking Detection
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14
This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.
Graph_signal_processing
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12
Signal processing on graphs using torch_geometric.
Specklehackathon Imgtopointcloud
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10
Lrbo
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7
A Fast and Reliable Hand-eye Calibration Method Based On 3d Vision
Point_cloud_tutorial
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6
This repository contains tutorial code and supplementary note for point cloud processing.
Didichallengehelperscripts
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5
Helper Scripts for the Didi Challenge (Team: Transformers!!!)
Cloud_table
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5
3D generative design with deep learning
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