妄想症候群患者 发表于 2020-1-12 23:25

解包解出道具文件了,用HexWorkshop改携带数量也找到位子了

data:image/png;base64,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**** Hidden Message *****拉到1F,16列是道具ID,14、15列是携带数量,有几个玩意是多了的,得慢慢找

b271776023 发表于 2020-1-12 23:40

我也找到技能和装饰珠的了   但是游戏识别方式变了做出来的不管用

优秀的zwy 发表于 2020-1-12 23:53

虽然是找到路径了,但是读不到

sgurkmgk 发表于 2020-1-13 00:02

和楼上几个问题一样……不知道是不是老卡做的措施……但是看到别人外观可以改,应该是楼上几位说的识别方式变了?坐等巨佬研究出新的文件夹路径摆放方法……

Darktony999 发表于 2020-1-13 03:32

感謝分享 辛苦了

花宵时雨 发表于 2020-1-13 04:29

谢谢大佬 感谢 等了好久了!

fantasy_lu 发表于 2020-1-13 07:46

解压工具是什么?

weileisi 发表于 2020-1-13 16:31

b271776023 发表于 2020-1-12 23:40
我也找到技能和装饰珠的了   但是游戏识别方式变了做出来的不管用

我改了模型地址也是识别不出,近站武器拉到41列,排列方式就和以前一样了,但是改了放在游戏目录没用不知道为啥

iginnew 发表于 2020-1-13 17:37

大佬问下知道怎么修改爆裂果实的携带上限吗、、、、虚心求教

2210458085A 发表于 2020-1-13 23:32

b271776023 发表于 2020-1-12 23:40
我也找到技能和装饰珠的了   但是游戏识别方式变了做出来的不管用

技能怎么找到的啊?我解包之后看了半天没看明白。还是拉到A的那一列么?6是名称?

894392084 发表于 2020-1-14 10:34

文件是能改,但是游戏不识别了。
之前卡婊可能只是想让玩家改模型mod,但是后来玩家弄出了很多魔改mod
卡婊应该是想封禁魔改mod,所以让魔改文件不从nativePC里面读取了。
目测只有两种解决方法。
1、某大神能开发出一个还原本体读取方式的插件。(这个可行性较低,就算成功了,只要作者没有及时进行更新所有mod都会瘫痪)
2、开发出把mod压缩回chunkG的工具。(这个难度较低,可行性很高。虽然会麻烦一点,但是好在稳定。。不过目测要到下一次更新之后才好用,因为现在的chunkG0实在是太大了,解压和压缩对普通家用机很有难度)

射程之内 发表于 2020-1-14 21:40

894392084 发表于 2020-1-14 10:34
文件是能改,但是游戏不识别了。
之前卡婊可能只是想让玩家改模型mod,但是后来玩家弄出了很多魔改mod
卡婊 ...

或者是将MonsterHunterWorld.exe反汇编,找到对应的代码然后用dll来引导,大佬说的。
只不过猛汉王的exe有500M,工程量不小,还得继续等等看

射程之内 发表于 2020-1-14 21:53

JODO大佬的冰原全物品列表已经出来了,可以对着看:http://www.mhwmod.com/archives/660

顺便应该是A、B列才是道具ID,以生命大粉尘为例,DEX是1008,HEX是3F0,A B列的F0 03对应的14、15列数字是05 02(不知道05代表什么意思,但只看后面,游戏里生命大粉尘道具栏的确只能带2个),所以应该是A、B列

其实道具、防具、武器、弓瓶子等修改都很容易找到,卡婊更新后就是在第一列开头多了四位数数字,所以对应的将以前的列数往后推四位就是想要的数值列了


但是现在并不怎么想改,也不知道什么时候出nativePC未加密MOD{:3_95:}

x567 发表于 2020-1-15 11:36

本帖最后由 x567 于 2020-1-15 11:37 编辑

如果是解封chunkG60的包加入要修改的内容给加进去在封装chunkG60不知道有没有效果,不知道有没有封装的程式,现在的硬碟空间更大8TB大硬碟的电脑,
如果有64GB RAM电脑会更加理想随时封装解封chunkG0.bin多不是大问题。

射程之内 发表于 2020-1-15 12:53

x567 发表于 2020-1-15 11:36
如果是解封chunkG60的包加入要修改的内容给加进去在封装chunkG60不知道有没有效果,不知道有没有封装的程式 ...

这个思路不错,龙腾世纪好像就是这么玩MOD的{:3_117:}

但还是得看编程大佬的研究成果值不值得这么干了,现在解包程序国内外两位大佬还在研究中,目前的代码编译出来的解包器解出来的chunkG一大半文件都是坏的

随想之意 发表于 2020-1-15 18:54

只想要一个物品上限

gjp123 发表于 2020-1-15 19:36

894392084 发表于 2020-1-14 10:34
文件是能改,但是游戏不识别了。
之前卡婊可能只是想让玩家改模型mod,但是后来玩家弄出了很多魔改mod
卡婊 ...

其实第二种方法对卡婊来说也很好应付...学学蓝洞,高频更新,每次就更新一丁点不到10M的东西,频繁变更版本号和chunk60,这样一来想要MOD一直能用就会变得异常麻烦...

894392084 发表于 2020-1-16 11:15

本帖最后由 894392084 于 2020-1-16 11:40 编辑

gjp123 发表于 2020-1-15 19:36
其实第二种方法对卡婊来说也很好应付...学学蓝洞,高频更新,每次就更新一丁点不到10M的东西,频繁变更版 ...
卡婊只是想稍微改动一下游戏,打击一次魔改mod,并不是想完全杜绝修改。这次找到对策基本就是一劳永逸的。
而且这个chunkG0就是把之前的更新压缩到了一个chunk里面了,下次更新会出chunkG1、G2。而且应该也不会验证文件大小(因为chunkG0根本不知道以后要更新的文件有多大,包含什么内容,就算要添加验证,也是会在更新的chunk里面加一个文件,找到这个文件进行修改就可以了)
所以理论上你直接压缩一个靠后版本的chunk应该就可以正常使用(比如chunkG99,或者直接改成和当前更新的最新版本同名)

喂喂喂问问 发表于 2020-1-18 00:08

呃呃呃呃呃呃呃呃呃呃呃呃

doneit 发表于 2020-1-18 00:13

支持楼主!!http://bbs.blacksheepgame.com.weibosa.com/img/emoji1.jpghttp://bbs.blacksheepgame.com.weibosa.com/img/emoji2.jpghttp://bbs.blacksheepgame.com.weibosa.com/img/emoji3.jpghttp://bbs.blacksheepgame.com.weibosa.com/img/emoji4.jpg

jia3MD 发表于 2020-1-18 00:52

你们都是怎么识别来着?

clarkjuanjuan 发表于 2020-1-18 02:03

666666666666666666

ywhmz141 发表于 2020-1-18 02:15

楼主,你是一个大好人!!

horudesu 发表于 2020-1-18 02:18

66666666666666666666666666

Deeemon 发表于 2020-1-18 03:02

6666666666666

不灭z 发表于 2020-1-18 05:03

谢谢分享

darcy965 发表于 2020-1-18 05:39

1111111111111111

857601978 发表于 2020-1-18 08:09

能用吗?

权右君 发表于 2020-1-18 09:08

6666666666666

肝不动的猎人 发表于 2020-1-18 09:08

落实6666666666666666666666666666666
页: [1] 2 3 4 5 6 7 8 9 10
查看完整版本: 解包解出道具文件了,用HexWorkshop改携带数量也找到位子了