redgd 发表于 2022-11-8 12:18:10

已经使用了一段时间,比较稳定,谢谢又更新了

gamore 发表于 2022-11-8 13:29:11

本帖最后由 gamore 于 2022-11-8 14:22 编辑

楼主请问这个是什么情况呢,属性没内容
data:image/png;base64,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

xiaguohe 发表于 2022-11-8 13:56:16

感谢分享~~~~~~~~~~~~~~~~~~~~~~~~~~

yaojifeng 发表于 2022-11-8 18:33:39

不错经过几个补丁总算更新了!支持一波!

guitarsjam 发表于 2022-11-8 18:51:28

感谢大神

cXtzui 发表于 2022-11-8 19:28:25

感谢大神作品!

xxxooo 发表于 2022-11-9 20:25:44

感谢大佬出手!

1421890054 发表于 2022-11-11 09:32:20

感谢楼主{:1_1:}

cqf1980 发表于 2022-11-11 12:30:36

本帖最后由 cqf1980 于 2022-11-11 12:45 编辑

有冇人人发现CAD 几何中心(形心)捕捉不准确的情况?
把图形移动到原点,再捕捉几何中心就精确了。

aichong 发表于 2022-11-13 19:05:11

cqf1980 发表于 2022-11-11 12:30
有冇人人发现CAD 几何中心(形心)捕捉不准确的情况?
把图形移动到原点,再捕捉几何中心就精确了。

距离原点太远的话,可能浮点运算误差比较大,就会出现捕捉不准确的情况
页: 28 29 30 31 32 33 34 35 36 37 [38] 39 40 41 42 43 44 45 46 47
查看完整版本: [更新]AutoCAD 2020.1.6 “珊瑚の海” 64位精简优化版[2022.11.07更新]