Weekend study summary (LIO calibration + use of kitti data set + use of evo tool + open source data set + use of ssh) - Code World

Weekend study summary (LIO calibration + use of kitti data set + use of evo tool + open source data set + use of ssh)

Enterprise 2023-10-04 22:41:28 views: null

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Origin blog.csdn.net/weixin_41756645/article/details/126673894

Weekend study summary (LIO calibration + use of kitti data set + use of evo tool + open source data set + use of ssh)

Learning positioning from scratch --- use kaist data set for LIO-SAM mapping

Use the MOT evaluation tool TrackEval to evaluate your own data set

Use of LabelImg annotation tool (obtaining annotated image data set)

Use the opencalib open source calibration tool to calibrate lidar, camera, and IMU. Use your own data to calibrate and solve the problem of Segmentation fault (core dumped).

YOLO segmentation data set production: use the Labelme tool to create a segmentation data set (.json) and convert it to the format of the YOLO data set (.txt)

KITTI data set

kitti data set preprocessing

Use KITTI to run LIOSAM and complete the EVO evaluation

Use torchvision download data set shows no template

Use the knn algorithm to classify the iris data set

[PyTorch] Use of ImageNet data set and construction of miniImageNet

[Deeplabv3+] Use pytorch to reproduce Deeplabv3+ in Ubutu18.04 (step 2)-----KITTI data set prediction

evo evaluation TUM data set

Download the data set into rosbag KITTI

Database and MPP data warehouse (6): the use of open source ETL tool kettle

evo use

Use yolov5 to train your own data set (suitable for Xiaobai's first training data set)

Use the GPU version of tensorflow-1.14.0 to train the data set in colab

To make a data set, you may use small code (python)

Use the data set and Tencent word vector to extract the corresponding embedding

Use yolov4 to detect your own data set (pytorch)

NILMTK-introduction and use of the classic data set REDD

[Yolact data set production - labelme use and transfer to coco detailed explanation]

Use Faster-RCNN training data set process (learning record)

Use YOLOv7 to train your own data set

How to use MATLAB to do gray prediction on a set of data? (example 1)

Use MMDetection to train your own data set (Colab version)

Use the Set data structure in ES6 to deduplicate the object array

sklearn experiment 2 - use KNN to classify the iris data set

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