duduzai20192019

Results 6 issues of duduzai20192019

up主你好,你的Deeplabv3+用的是voc数据集, 由于没有找到cityscape转voc的脚本 所以直接将cityscape转成coco数据集放进去训练,但结果moiu只有40左右 问题①:想问一下需不需要先cityscape转coco,然后再coco转voc进行训练? 问题②:用你提供的voc_mobilenetv2预训练权重会不会对cityscape效果造成影响? ![image](https://user-images.githubusercontent.com/96464964/184897746-e31c3295-efaa-4e26-84ba-4565fb3dc9da.png) ![72a763540306a438d07f9dd11d5288f](https://user-images.githubusercontent.com/96464964/184897713-6ef8b13b-9fa5-4c6c-b02e-c5c9820204dd.jpg) ![129c7827f28d509c9708e2a4ee9cda0](https://user-images.githubusercontent.com/96464964/184897673- 6398aa59-c621-4780-a439-60b4cbca9304.jpg)

up主你好,对于非voc数据想在deeplabv3+中训练的话,是不是得将它们先转成voc数据集的格式? 因此我用了你提供的那个segmentation-format-fix-main/Convert_SegmentationClass.py文件将彩色标签文件转成黑色标签开始训练,可以成功训练,但是预测没有效果,想问一下是不是数据集格式转换的问题以及如何排查问题,这个问题卡了好久,谢谢!

Hi, mmseg decode_heads are all wrapped up, I want to modify the solution dock network model, but don't know how to start, mmseg is not like other open source code,...

awaiting response

你好,我用eiseg标注的时候生成了json格式保存,请问一下还可以转换成coco格式吗 有没有提供转换的py文件,谢谢!!!

question

How do you fill in the --pointcloud_path parameters please ask? I have them(0000000000.bin, timestamps.txt, timestamps_end.txt, timestamps_start.txt) in my C:\Users\duduzai\Desktop\KITTDateset\2011_09_26_drive_0005_sync\2011_09_26\2011_09_26_drive_0005_sync\velodyne_points folder

DOC link invalid, Can you send it again? Doc: [https://www.yuque.com/huangzhongqing/eozhay/oy21538c6tau2205(TODO)](https://www.yuque.com/huangzhongqing/eozhay/oy21538c6tau2205%EF%BC%88TODO%EF%BC%89)