tag:blogger.com,1999:blog-49209314049546642092024-02-22T18:51:38.164+09:00khuuyj@khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.comBlogger38125tag:blogger.com,1999:blog-4920931404954664209.post-71495578075086848622016-09-24T11:51:00.001+09:002016-09-24T11:51:06.007+09:00GTS450 vs GTX750TiもうすぐGTX1050が出ようと言うのに今更ながら、おそらく底値になったところで、GTX750Tiを買ったのでざっくりと比較<br />
比較対象は、以前うちにドナドナされて来た時から付いていて今は粗方中身が入れ替わっているが生き残っていたGTS450<br />
<br />
数字的にざっくりと2倍程度の性能だが、BlenderのメッシュをSubsurfモデファイアで分割数を増やした時のfpsの落ち込みが低い<br />
これはFermi→Kelperでも見られたことで、Kelper→Maxwellで変化があるかはデータが無かったが、Kelper→Maxwellでも速くなっているっぽい<br />
<br />
fps_benchmark_V2.blendのlv6で200万スクエア。これのベースメッシュを1段階分割して800万ポリゴンにして11fps、もう一段分割して3200万ポリゴンにすると1.77fpsなので、1000万スクエアぐらいまでは作業的には堪えうる・・・かも<br />
15fps辺りを閾値と考えれば500万スクエアまではいけるか・・・と言ったところ<br />
<br />
<table border="1"><tbody>
<tr><td colspan="2"></td><td><div style="text-align: center;">
<b>GTS450</b></div>
</td><td><div style="text-align: center;">
<b>GTX750Ti</b></div>
</td></tr>
<tr><td align="center" colspan="5">Blender Benchmark</td></tr>
<tr><td colspan="2"><span style="color: red;">BMW27.blend</span></td><td align="right"><span style="color: red;">05:49:02</span></td><td align="right"><span style="color: red;">03:23:85</span></td><td align="right" width="100px"><span style="color: red;">58.406%</span></td></tr>
<tr><td rowspan="4">fps_benchmark_V2.blend</td><td><span style="color: red;">lv6</span></td><td align="right"><span style="color: red;">3.27</span></td><td align="right"><span style="color: red;">28.81</span></td><td align="right"><span style="color: red;">8.810</span></td></tr>
<tr><td><span style="color: orange;">lv5</span></td><td align="right"><span style="color: orange;">12.80</span></td><td align="right"><span style="color: orange;">48.51</span></td><td align="right"><span style="color: orange;">3.790</span></td></tr>
<tr><td>lv4</td><td align="right">46.79</td><td align="right">60.10</td><td align="right">1.284</td></tr>
<tr><td>lv4</td><td align="right">59.91</td><td align="center">-</td><td align="center">-</td></tr>
<tr><td align="center" colspan="5">WinSAT</td></tr>
<tr><td colspan="2">Direct3D Batch のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D Alpha Blend のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D ALU のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D Texture Load のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D Batch のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D Alpha Blend のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D ALU のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D Texture Load のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D Geometry のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D Geometry のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">Direct3D Constant Buffer のパフォーマンス</td><td align="right">42.00 F/s</td><td align="right">42.00 F/s</td><td align="center">-</td></tr>
<tr><td colspan="2">ビデオ メモリのスループット</td><td align="right"><span style="color: orange;">15743.10 MB/s</span></td><td align="right"><span style="color: orange;">3901.80 MB/s</span></td><td align="right"><span style="color: orange;">2.153</span></td></tr>
<tr><td colspan="2">Dshow ビデオ エンコード時間</td><td align="right">1.34264 s</td><td align="right">1.36166 s</td><td align="right">1.014</td></tr>
<tr><td colspan="2">メディア ファンデーション デコード時間</td><td align="right"><span style="color: orange;">0.19273 s</span></td><td align="right"><span style="color: orange;">0.10409 s</span></td><td align="right"><span style="color: orange;">0.540</span></td></tr>
</tbody></table>
khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-74178012771348391652014-11-10T00:39:00.001+09:002014-11-10T00:40:09.985+09:00Blender : Add-on : Mouse Navigation Ext.<div><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihnF8eleXuJcY6hyphenhyphenQgzr4A5e5plqVRaqgSbfQp9Ye0xPNgGva0G7M-K8ntA02d4hAxgQh_4OpcM_710Lm2ILdZvd6Y9vOwSTFzxe0gmqyZeAdEk8UjVj3s6OwaHhVsaze52u7yQfDeJEW2/s1600/test.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihnF8eleXuJcY6hyphenhyphenQgzr4A5e5plqVRaqgSbfQp9Ye0xPNgGva0G7M-K8ntA02d4hAxgQh_4OpcM_710Lm2ILdZvd6Y9vOwSTFzxe0gmqyZeAdEk8UjVj3s6OwaHhVsaze52u7yQfDeJEW2/s1600/test.jpg" height="211" width="320" /></a>3DViewからユーザー設定オプション[Zoom To Mouse Pointer's position in 3D View]と[Rotate Around Active]を切り替えるアドオン<br />
<br />
Add-on that switch UserPref Options [Zoom To Mouse Pointer's position in 3D View] and [Rotate Around Active] From 3D View.</div><br />
<a href="http://www.pasteall.org/55032/python" target="_blank">http://www.pasteall.org/55032/python</a><br />
<br />
<div><iframe class="paste" frameborder="0" height="320" name="paste" src="http://www.pasteall.org/55032/python/embedded" width="600"></iframe></div>khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-73835356294077209072013-10-25T23:41:00.000+09:002013-10-25T23:41:42.012+09:00Blender : Script : Bugsメンテはしてないけど、2.69RCで発見したこと<br />
<div style="background-color: #444444; border: dotted #ffffff 1px; margine: 10px;">import bpy<br />
from bpy import *</div>で<br />
<div style="background-color: #444444; border: dotted #ffffff 1px; margine: 10px;">context.object</div>とすると現在のObjectを正しくフォーカス出来ない<br />
<br />
<div style="background-color: #444444; border: dotted #ffffff 1px; margine: 10px;">bpy.context.object</div>とすると正常にフォーカスできる<br />
<br />
<hr /><br />
I found those in 2.69RC, though I have not maintain my codes yet.<br />
<br />
With<br />
<div style="background-color: #444444; border: dotted #ffffff 1px; margine: 10px;">import bpy<br />
from bpy import *</div><br />
If writing<br />
<div style="background-color: #444444; border: dotted #ffffff 1px; margine: 10px;">context.object</div>It can't catch current object.<br />
<br />
But<br />
<div style="background-color: #444444; border: dotted #ffffff 1px; margine: 10px;">bpy.context.object</div>It can catch current object exactly.<br />
khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-22323242570606582802013-09-09T00:36:00.000+09:002013-09-09T00:36:12.588+09:00MEMO : 月の由来 : Souces of month names日本:Japan<br />
<table border="1" style="border-collapse: collapse;"><colgroup><col style="width: 20px;"></col><col style="width: 40px;"></col><col style="width: 40px;"></col><col style="width: 80px;"></col><col></col></colgroup><thead>
<tr><td>月</td><td>旧称</td><td colspan="2">中期(グレゴリオ暦)</td><td>由来</td></tr>
</thead> <tbody>
<tr><td>1</td><td>睦月<br />
mutsuki</td><td>雨水</td><td>2月19日頃</td><td>年始で家族睦んで睦月、初めの月で元つ月が訛ったもの、春を前にして萌月など</td></tr>
<tr><td>2</td><td>如月<br />
kisaragi </td><td>春分</td><td>3月21日頃</td><td>如月は当て字、中国の二月をそのまま当てたもので日本語の“きさらぎ”とは関係無し。衣替えの季節で衣更着、発芽の季節で草木張月など</td></tr>
<tr><td>3</td><td>弥生<br />
yayoi </td><td>穀雨</td><td>4月20日頃</td><td>木草弥や(いよいよ)生ひ月で弥生</td></tr>
<tr><td>4</td><td>卯月<br />
utsuki </td><td>小満</td><td>5月21日頃</td><td>卯の花の咲く月で卯月、田植えの季節で植月など</td></tr>
<tr><td>5</td><td>皐月<br />
satsuki </td><td>夏至</td><td>6月22日頃</td><td>苗を植える季節で早苗月。新暦(グレゴリオ暦)での梅雨はこっち。古書では五月と書いてさつき</td></tr>
<tr><td>6</td><td>水無月<br />
minaduki </td><td>大暑</td><td>7月23日頃</td><td>梅雨が明けて(水が無くなって)水無月、もしくは田に水を張る季節で水月(無は当て字)など</td></tr>
<tr><td>7</td><td>文月<br />
fumitsuki </td><td>処暑</td><td>8月24日頃</td><td>七夕で文字を書くから文月と言われるが七夕は中国より奈良時代に伝わったものなので、稲穂が含(ふ)む月で文月との説も</td></tr>
<tr><td>8</td><td>葉月<br />
haduki </td><td>秋分</td><td>9月23日頃</td><td>紅葉の季節で葉月、稲穂が張る季節で穂張り月など</td></tr>
<tr><td>9</td><td>長月<br />
nagatsuki </td><td>霜降</td><td>10月24日頃</td><td>童謡にもあるように秋の夜長の夜長月で長月</td></tr>
<tr><td>10</td><td>神無月<br />
kannnaduki </td><td>小雪</td><td>11月23日頃</td><td>新嘗の季節で醸成(かみなり)月、神嘗月、台風の季節の後で雷無月など</td></tr>
<tr><td>11</td><td>霜月<br />
shimotsuki </td><td>冬至</td><td>12月22日頃</td><td>霜が降りる季節で霜月</td></tr>
<tr><td>12</td><td>師走<br />
siwasu </td><td>大寒</td><td>1月20日頃</td><td>師(僧)が仏事で走り回るから師走。年果てる、し果つ、など</td></tr>
</tbody></table>
<br />
英語:English<br />
<table border="1" style="border-collapse: collapse;"><colgroup><col style="width: 20px;"></col><col style="width: 100px;"></col></colgroup><thead>
<tr><td>月</td><td>名前/Name</td><td>由来/Source</td></tr>
</thead> <tbody>
<tr><td>1</td><td>January</td><td>時の神ヤヌスの月<br />
Month of Janus as God of Time </td></tr>
<tr><td>2</td><td>February</td><td>浄罪の月<br />
Month of Cleaning Sin </td></tr>
<tr><td>3</td><td>March</td><td>戦神マルスの月 <br />
Month of Martius as War God</td></tr>
<tr><td>4</td><td>April</td><td>愛と美と豊穣の女神ヴィーナスの月<br />
Month of Vinus as Goddess of Love, buety and <span class="st">fertility</span></td></tr>
<tr><td>5</td><td>May</td><td>豊穣を司る地母神マイアの月 <br />
Month of Maius as Land Goddess for fertility</td></tr>
<tr><td>6</td><td>June</td><td>結婚の女神ジュノーの月<br />
Month of Junius as Goddress of Marrage</td></tr>
<tr><td>7</td><td>July</td><td>ジュリアス・カエサルの月<br />
Month of Gaius Julius Caesar</td></tr>
<tr><td>8</td><td>August</td><td>初代ローマ皇帝アウグストゥスの月<br />
Month of Augustus as the first Roman emperor</td></tr>
<tr><td>9</td><td>September</td><td>第7の月<br />
7th month </td></tr>
<tr><td>10</td><td>October</td><td>第8の月<br />
9th month </td></tr>
<tr><td>11</td><td>November</td><td>第9の月<br />
9th month </td></tr>
<tr><td>12</td><td>December</td><td>第10の月<br />
10th month </td></tr>
</tbody></table>
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-53905640223911078112013-09-02T02:08:00.000+09:002013-09-02T02:08:17.201+09:00モデリング:人物:全身:001<div class="separator" style="clear: both; float: left; text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhosYdYGsb75iUzHnuxIYd8jhdNycZXuuxHcxiIk8LofuGU9gPBjc1WVCB10WgcrVf9NNjbSumar5fiGJwY1LdvgHZxxM_RreFExXkJGHbRtAeq8Hs_5qHRdz76K00-StdL35PssDvaU4tO/s1600/untitled.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhosYdYGsb75iUzHnuxIYd8jhdNycZXuuxHcxiIk8LofuGU9gPBjc1WVCB10WgcrVf9NNjbSumar5fiGJwY1LdvgHZxxM_RreFExXkJGHbRtAeq8Hs_5qHRdz76K00-StdL35PssDvaU4tO/s320/untitled.png" width="240" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDRTnIvwPyVvZIZ4yAR1RuwgArAsC3JWt_SQzuXTSJW1PyDF8h6CkuKvYC59ZR-yAtZUjv-d4VbqdYqYETxFYRkU-ETCW89HQiS-kBmKPMuCYVBTJMrUpLpfgsFV03E_8qq-zWDnHVFHa5/s1600/untitled1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDRTnIvwPyVvZIZ4yAR1RuwgArAsC3JWt_SQzuXTSJW1PyDF8h6CkuKvYC59ZR-yAtZUjv-d4VbqdYqYETxFYRkU-ETCW89HQiS-kBmKPMuCYVBTJMrUpLpfgsFV03E_8qq-zWDnHVFHa5/s320/untitled1.png" width="240" /></a></div><br />
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdiiwRl374SuGPg70BhVG9pgLrkzrit5LYQ5CLRvLqAC7d95J6WZRBciOQepCoIfSYddXhbaDKOH5tK_l7D9Wdy3gFMmpVy-nJ1Y9b2tmelSfhMCUlbWmJQaD-GqN_SWRqokeZypDPYUA2/s1600/untitled2.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdiiwRl374SuGPg70BhVG9pgLrkzrit5LYQ5CLRvLqAC7d95J6WZRBciOQepCoIfSYddXhbaDKOH5tK_l7D9Wdy3gFMmpVy-nJ1Y9b2tmelSfhMCUlbWmJQaD-GqN_SWRqokeZypDPYUA2/s320/untitled2.png" width="320" /></a></div>今更ながら、番号を振ってみる・・・1からだけど。<br />
100万(四角)ポリゴンでも全身だとこんな感じで、4Kテクスチャで全身描く程度には粗いので、細かい部分の形は出し難い。<br />
予めベースメッシュの密度に差をつけてればいいんだが、どうせグリグリ削れば位置なんて動いちゃうし、と関節以外メッシュを詰めなかったのはいいのか悪いのか・・・耳は中途半端に形を作っていてかなり強引に弄ってるんで微妙なところだったりする。 <br />
ある程度作り込んでしまえば、特に手足をいくつも削るのは手間なので、流用素体の出来あがりと言ったところではあるが、ブラシの反応が操作不能レベルにならなければもう1~2段階分割したいと言う点では、現環境下での練習用の域を出ないのも、また事実ではある。<br />
<br />
<div class="separator" style="clear: both; float: left; text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEia2Q-Fd-Mm9j7oZ8A8eH41AR81y-iwGNeVM-Y8pQo5HoY1Fx6rrIR-ujUGE3ODoVJmEa69iN5PwSdHpeogkS9fgf4eNRxwBZd9pL7iGC4P8si2xgDAQL_jG69UT4A8cOHXc0tV65UA8jLZ/s1600/untitled3.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEia2Q-Fd-Mm9j7oZ8A8eH41AR81y-iwGNeVM-Y8pQo5HoY1Fx6rrIR-ujUGE3ODoVJmEa69iN5PwSdHpeogkS9fgf4eNRxwBZd9pL7iGC4P8si2xgDAQL_jG69UT4A8cOHXc0tV65UA8jLZ/s320/untitled3.png" width="240" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjyTdnMSLP8rNW-uZ_f3pw1xXMs_HJv0jwBOUfQSaulN9P5Il_2eB_mwrFXgKJ_hzhLQIDthoRCjMx7mT103E7OFzQG8xjsN8ZJeEFdYfc71c-6axYvi7QHkJ8y4JahKemvz3f8agQtfOrZ/s1600/untitled4.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjyTdnMSLP8rNW-uZ_f3pw1xXMs_HJv0jwBOUfQSaulN9P5Il_2eB_mwrFXgKJ_hzhLQIDthoRCjMx7mT103E7OFzQG8xjsN8ZJeEFdYfc71c-6axYvi7QHkJ8y4JahKemvz3f8agQtfOrZ/s320/untitled4.png" width="240" /></a></div>ベースメッシュは、マルチレゾをapply、もしくはApply BaseしたローポリにテクスチャをBakeするだけで、リトポ無しでもそこそこはポージングに堪えるようにはしてある。<br />
khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-1812172289349359672013-08-25T00:40:00.001+09:002013-08-25T00:40:39.426+09:00Sculptの続き<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjlkQHiywrwG6qIqjzLgTOtw6nvRfk-0Wu0Vbme4Mc2tXUmvQR9meCI5utPf_Mlin4orPyAJWyv_hrB9cUX94E2a53_9JelP2dLrT19LCffuwk6thlx5_62F2Mj7AZUVUilyZ4qJSvAiAp6/s1600/untitled9.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjlkQHiywrwG6qIqjzLgTOtw6nvRfk-0Wu0Vbme4Mc2tXUmvQR9meCI5utPf_Mlin4orPyAJWyv_hrB9cUX94E2a53_9JelP2dLrT19LCffuwk6thlx5_62F2Mj7AZUVUilyZ4qJSvAiAp6/s320/untitled9.png" width="240" /></a></div>
あまり進展無し。<br />
腹から下を削っているところ。 <br />
下のベースメッシュをレベル4まで分割したが、指の間、腋の下、大胸筋の腕への接続部分、股間、おっぱいの下<span style="font-size: xx-small;">等等</span>、関節内側のRが(逆向きに)尖る場所はどうしてもポリゴンが荒れるのと、それ故にどうしてもしっくりと来ない。<br />
しかし、レベル5まで分割すると440万□ポリ。<br />
どうせ、10万ポリ以下のモデルにノーマルを焼き付けるだけなのに、そこまで分割して何ピクセルのイメージを使う積りだ?って話で、それなら荒れている部分だけイメージをレタッチしてもいい訳で、どうしたもんかな。<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZRd_zMOiFmBjXD6HtEz-6n1QuaIP5csW4jruVKb2sEyYXRoYs-IwSWdO9B8I7ZKGgUZFZ6Jgi9-fhaQrvVTipQxVrQqSSHA7FmDNb_tN4X9OwOjWqAQp52z5-wYAuuVDeJOIgxeqteZ1h/s1600/untitledA.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZRd_zMOiFmBjXD6HtEz-6n1QuaIP5csW4jruVKb2sEyYXRoYs-IwSWdO9B8I7ZKGgUZFZ6Jgi9-fhaQrvVTipQxVrQqSSHA7FmDNb_tN4X9OwOjWqAQp52z5-wYAuuVDeJOIgxeqteZ1h/s320/untitledA.png" width="240" /></a></div>
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-39443943841847294142013-08-10T03:02:00.001+09:002013-08-10T03:02:59.551+09:00Blender久方<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMHapW0mg2PDlaJ-dVFQpvpdn94zjWHRnERhn14g0Kk4ehSIbcsopugq4DPiR7vxkzBkpePGoy5IJ1dUjkNRfpkY04Qs0Xrs66eaxlweKaOWNXrji4sp-d1YxLXgkefBpewy7aWWiV6Fw3/s1600/untitled.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMHapW0mg2PDlaJ-dVFQpvpdn94zjWHRnERhn14g0Kk4ehSIbcsopugq4DPiR7vxkzBkpePGoy5IJ1dUjkNRfpkY04Qs0Xrs66eaxlweKaOWNXrji4sp-d1YxLXgkefBpewy7aWWiV6Fw3/s320/untitled.png" width="320" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiVxytRP25MVJ6xRM3pvNayDq-Y1z_MtMQa9hZNWiHnvqr_S82IBXeRwWRTdrTXR8hHmt71lFu9Jj6C9nrO3uDJhfkFkZZ2eQfbpMjwXKpjEURPeH0UVuvZno3N7rU-yump2WrZPvVCKcW/s1600/untitled5.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiVxytRP25MVJ6xRM3pvNayDq-Y1z_MtMQa9hZNWiHnvqr_S82IBXeRwWRTdrTXR8hHmt71lFu9Jj6C9nrO3uDJhfkFkZZ2eQfbpMjwXKpjEURPeH0UVuvZno3N7rU-yump2WrZPvVCKcW/s320/untitled5.png" width="240" /></a><b><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjI2v2I7Gx07JaRdDXBwFkBamzFKkGpF3UJdduZ68nE_E1HR5AsoYAjwNy091OZncMq76AGlSBVjCtHNiJsDlk-FMdNwNlpFuqsyvdltUwRQePPfYDMTkaiRmI0qJ95BLKRp8sG9TFmFwTE/s1600/untitled7.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjI2v2I7Gx07JaRdDXBwFkBamzFKkGpF3UJdduZ68nE_E1HR5AsoYAjwNy091OZncMq76AGlSBVjCtHNiJsDlk-FMdNwNlpFuqsyvdltUwRQePPfYDMTkaiRmI0qJ95BLKRp8sG9TFmFwTE/s320/untitled7.png" width="320" /></a>スカルプト</b>とGPU性能の兼ね合いをどうするか考えながら放置していたのを“超”久々に再開。<br />
<br />
<br />
<b>rigify</b>に合わせて作ったものをベースリグのボーンの変形で体型変更。<br />
<br />
<b>rigify</b>をGenerateして関連付け。<br />
<br />
そして、multiresモデファイアを使ってスカルプトで削る。 <br />
<br />
<b>ダイナミックトポロジー</b>はまだ、<b>multi-resolution</b>、<b>UV</b>が維持出来ないのと、全体を無造作に削りまくると異常に頂点が増えるので、取りあえずは自動分割で頂点数を管理しつつ。<br />
<br />
分割レベル3まで。<br />
<br />
<br />
精度的にはもう2段階分割レベルを上げたいが、そうすると<b>400万□</b>になって、GPUが<b>GTS450</b>だとかなり重い。<br />
<br />
レベル4で妥協するか、ここからダイナミックトポロジーで細かい部分を削っていくかと言うのが悩みどころ。<br />
<br />
<br />
UVを1枚ものにしようと思っていたけど、それはあきらめた。<br />
<br />
全体的に歪み具合がバラバラになるのと、腕や脚が明後日の方向向いて反って塗り難い。<br />
<br />
<br />
現状、まだ分割が粗いので顔は殆ど削ってないけど、完成イメージを掴むために、簡単な服とヘアスタイル案のメッシュ、そしてリップと目許に若干色を追加。<br />
<br />
下絵も無ければ意図した訳でも無いが、どこかで見たような感じの顔。<br />
<br />
<br />
ボーンへの関連付けは胸と首から上腕にかけて補助ボーンを追加して、自動ウェイトを掛けただけ。<br />
<br />
Armature > MultiRes だと肘を90度以上曲げると、内側が崩壊する。<br />
<br />
MultiRes > Armature だとポリゴンの崩壊はなくなるが、変形がやや尖った感じになる。<br />
<br />
まぁ、リトポせずに破綻させずに動かせるほどベースを詰めてないしポリゴン数も無いので、まぁ、モブ用でだったら、レンダリングの重さはともかくとして、物量を抑えると言う点では、リトポやウェイトの修正を殆ど行わずに、ApplyBaseすればそのままでもそこそこ使えそうと言うぐらい。<br />
<br />
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.blogger.com/video.g?token=AD6v5dyQE_3-D9B_qB9SiTzUPRQEKGU2r2wda71g8pyY64-6pLMNusPouhlme8aovt3_RZv8803Z_I8j5IXGubiP6A' class='b-hbp-video b-uploaded' frameborder='0'></iframe></div>
そして、ずっと放置していたこれも2.6対応しようかと。<br />
2.52で作ったときは、ClothのSelf-Collisionの精度が悪かったので、かなり複雑な階層構造でスカートとベストの衝突を回避したが、単純にベストとスカートを結合して、Quality、Collision、Self-Collisionのパラメータを上げるだけでこれぐらいで動くので、メッシュ構造、各部分の強度を調整すれば、Clothだけで十分いけそう。<br />
他の物理シムにRigidBodyを使えないか検討中だけど、結構むずい。<br />
<br />
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-79379687219706538032013-04-19T21:09:00.001+09:002013-04-24T00:41:28.017+09:00Blender Net Render<div name="japanese"><table><tbody>
<tr><td style="background-color: #cccccc; color: #111111;"><b>Blender Net Renderの現状の問題と対策</b></td></tr>
<tr><td><a href="#english">→いつものひどい英語判/Terrible English version as always</a></td></tr>
<tr><td><a href="#code">→コード修正箇所</a></td></tr>
<tr><td><br />
BlenderのNetRender add-onはユーザー設定画面で見て判る通り、ベータ版となっているが、現時点では以下の問題があると思われる<br />
<div style="padding-left: 10px;">(1)大きなファイル、もしくは大量の外部ファイルを含むデータのレンダリングではクライアントがエラーを起こしやすい<br />
(2)フレーム当たりのレンダリングが長時間かかる場合はエラーになる<br />
(3)Force upload all filesを指定してもリンクデータの参照に失敗する</div><br />
(3)の対策は、将来対応されることを期待しつつ、全てのスレイブサーバーにクライアントと同じパスで各データを参照出来るように設定しておくことで対処するとして、(1)(2)は実はタイムアウトの判定の方法に問題がある。<br />
<br />
(2)に関しては、実際には通信用モジュールがタイムアウトを起こしているのではなく、応答間隔が長かった場合、つまり前回の通信から今回の通信までの間隔が一定以上であればエラーを発生させている、もしくは該当スレイブをジョブの対象リストから除外すると言う作業を行っている。<br />
つまり、通信が出来ないためにタイムアウトを起こしている訳ではなく、処理の遅いサーバーをメンバーから外すと言う処理を行っている。<br />
但し、このタイムアウトにする閾値が固定で与えられているため、例えば、閾値が30分であれば、1フレームの処理に最速のサーバーで1時間掛かる場合には100%失敗となる。<br />
<br />
現時点、この閾値は5分になっている。<br />
CGWORLD誌でトランスフォーマーのレンダリング時間が(最長?)1フレーム70時間と紹介されていたようだが、勿論、お話にならない。<br />
<br />
そして、この対策だが、マスターのソースコードのタイムアウト時間を与えている箇所を修正する。<br />
実際のソースコード上でもコメントで、UIで変更出来るようにしなければならないと言う旨が書かれている。<br />
但し、この対策法、問題が無い訳ではない。<br />
ジョブをキャンセルした場合も、次のジョブを受け入れるまでこの時間待つようになる。<br />
つまり、レンダリング、1フレーム当たり1時間のジョブを実行出来るようにすると、ジョブをキャンセルした場合に次のジョブを受け入れるまでに1時間掛かる。<br />
<br />
生存通知の有無によるタイムアウトと、処理が遅いことによるタイムアウトを区別していないために起こる仕様上の問題だが、ここを変更して対応時間を伸ばすと、ジョブをキャンセルして新しいジョブを投入する場合には手動でスレイブを再起動する必要がある。<br />
<br />
クライアントのタイムアウトも固定で5秒タイムアウトするようになっている。<br />
現状パイソンはマルチコアに対応していないし、コード自体も並行処理で生存通知を行うようになっていないので、データサイズが大きかったり回線が遅くて転送時間が長くなると、タイムアウトする。<br />
クライアントがタイムアウトすると、<br />
<div style="padding-left: 10px;">(1)データの転送が正常に終了したか判らない<br />
(2)マスターからレンダリング済データをダウンロード出来ない</div>の2点が問題となるが、LAN内やFTTH環境下ではほぼ起こらない上、(2)はウェブUIかクライアントのボタンからダウンロード出来るので、問題としてはさほど大きく無い。<br />
<br />
<br />
<br />
</td></tr>
</tbody></table></div><div id="english"><table><tbody>
<tr><td style="background-color: #cccccc; color: #111111;"><b>The problem of Blender NetRender and the countermeasure against it</b></td></tr>
<tr><td><a href="#code">→Python Code</a></td></tr>
<tr><td><br />
Blender NetRender is Beta version as you can know from user preference, then I think that it has these problem following here.<br />
<div style="padding-left: 10px;">(1)The error often happen on client when sending the large sized file or the data having many linked files.<br />
(2)It can't render the data that its render need many time for 1 frame rendering.<br />
(3)It failure to refer linked files even if ordering the option "Force upload all files".</div><br />
About (3), we expect to be resolved in future, and then we make slave servers to be able to refer data directories with same path as client's.<br />
About (1)(2), it has the problem in the way to decide timeout.<br />
<br />
In (2)'s problem, it is not that the communication module is not in timeout, but it occur when current response arrive after spending many time from last response, so it is not that there is not response. So if the time spans were long, the master would cut off those slaves as low performance machine.<br />
However, this thresholds are fixed in current code. For example, if you rendered such data as to spend 1 hour also with the most performance machine and if the threshold were 30 minutes, that job should lose certainly.<br />
<br />
In current code, it was set to 5 minutes.<br />
Before there was the article about Transformer TV animation in CGWORLD( a magazine in Japan ), it said that its rendering needed 7 hours / frame (it is the longest time of them?), so such is nothing but joke in current Blender NetRender.<br />
<br />
The way against that problem, you must change python code ( the comment to need to make it adjustable by UI is written in the code, but yet ).<br />
<br />
But this countermeasure has also problem.<br />
If you enlarge the length until timeout, also the wait time for next job is enlarged.<br />
So if you set 1 hour for timeout, the NetRender could process the task that needed 1 hour, but if you cancelled that job, the slaves would not receive next job for 1 hour.<br />
<br />
It is because of bug in the specification, the timeout against impossible to communicate and the timeout against low speed machine are not distinguished. But that is why we must restart slaves with handle when when we cancel job ( or wait for that time ).<br />
<br />
In client, there is the problem that the timeout length is given as fixed parameter, and it is 5 seconds.<br />
That is why it finish with error if it need many time for sending by its data size or the network through put, becaise current python don't support multi-core and this program can't send survival signal while sending.<br />
If client goes to timeout,the problems are these.<br />
<div style="padding-left: 10px;">(1)We can't know whether the sending have finished or not.<br />
(2)Client can't download the rendered results from master automatically.</div>The problem of (1) rarely happen in LAN or FTTH, and (2) is not so serious because we can download the result from master with web UI or client's get button.</td></tr>
</tbody></table><br />
</div><br />
<br />
<div id="code"><div style="background-color: #cccccc; color: #111111;"><b>マスターの待機時間を1時間、クライアントの待機時間を2分に延長する<br />
Extend master wait time to 1 hour, client's to 2 minutes</b></div><br />
<table border="1" style="background-color: white; border-collapse: collapse; color: black;"><tbody>
<tr><td>Directory</td><td colspan="4">./2.66/scripts/add-ons/netrender</td></tr>
<tr><td>File</td><td colspan="2">master.py</td><td colspan="2">utils.py</td></tr>
<tr><td>Befoer</td><td rowspan="2">984 line</td><td>self.slave_timeout = <span style="color: red;">5</span><span style="color: lime;"> # 5 mins: need a parameter for that</span></td> <td rowspan="2">162 line</td><td>def clientConnection(netsettings, report = None, scan = True, timeout = <span style="color: red;">5</span>):</td> </tr>
<tr><td>After</td><td>self.slave_timeout = <span style="color: red;">60</span><span style="color: lime;"> # 5 mins: need a parameter for that</span></td> <td>def clientConnection(netsettings, report = None, scan = True, timeout = <span style="color: red;">120</span>):</td> </tr>
</tbody></table>※1フレームに30分を要する場合、chunk=5だとマスターの待機時間は150分以上必要になる<br />
If it need 30 minutes per frame and chunk is 5, then the master wait time need more than 150 minutes.<br />
※クライアントの待機時間は一見初期値が5秒だが、これを変更するUIは存在しないので実質固定値<br />
The wait time of client looks just initial value in shortsighted, but there is not UI for changing that, so it is fixed parameter substantially.<br />
</div><br />
<hr />コードを見た感じ、複数ソースに跨っているためざっくりと見ただけだが、スレイブのタイムアウトはWebUIの当該項目が更新されるタイミング=スレイブの場合はJobIDが変更されるタイミングで行っているっぽい。このため一覧からステータスの変わらないスレイブが外れやすく、ジョブが実行中にも関わらずエラーになるっぽい。<br />
と言うことはウェブ画面を出さなければ、マスターがスレイブを除外する処理が走らない?<br />
<br />
Though I saw just rough , the reason of slave timeout seems that it is checked at when the part of slave status is changed in webUI. That is why the slaves that its status is not changed are cut off, and the job become error even though it is running.<br />
So the task that master reject slaves will not run if I don't use web UI?<br />
<br />
<hr />ウェブ画面無しでもタイムアウトするタイミングは同じでした。残念。<br />
The term to timeout was same even if without web UI.<br />
<br />
khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-86041436262662184812013-03-30T10:13:00.000+09:002013-03-30T10:27:48.248+09:00Blender Add-on @ 2.66<h3>
<a href="https://sites.google.com/site/khuuyjblend/home/blender/script/face-bone-tool" target="_blank"><b>Face Bone Tool</b></a></h3>
<br />
フェイシャルアニメーション(VSQリップシンク含む)が動かない。 <br />
Facial Animation (Including VSQ Lipsync) can't work.<br />
<br />
原因はAction-CostraintのActionプロパティに値をセット出来ないためだが、セット出来ない理由は現在不明<br />
The reason is to be unable to set action property of Action-Constraint, but I don't know why it can't set the property.<br />
<h3>
</h3>
<h3>
<a href="https://sites.google.com/site/khuuyjblend/home/blender/script/autofacerig" target="_blank"><b>Deform Bone Aid @Face</b></a></h3>
<br />
Matrixの仕様が変わる(バグFIXの)度に修正してきたが、おそらく現状合っている・・・筈。<br />
I changed it in every times when the specifications of Matrix( Bug fix of Matrix ) was changed, and it is correct now....PROBABLY.<br />
<br />
<h3>
<a href="https://sites.google.com/site/khuuyjblend/home/blender/script/deform-bone-aid-body" target="_blank"><b>Deform Bone Aid @Body</b></a></h3>
<br />
メンテしてないです、ハイ<br />
Yeah, I have not take care of this...<br />
<br />
<h3>
<a href="https://sites.google.com/site/khuuyjblend/home/blender/script/lipsync" target="_blank"><b>Real Time Lipsync</b></a></h3>
<br />
扱いが面倒なのでどうするかは困り者。<br />
It is trouble , because it is difficult.<br />
<br />
動作の前提条件として以下の事前準備が必要。<br />
These are needed to work.<br />
<br />
(1)ファイアウォール :IPアドレス127.0.0.1からIPアドレス127.0.0.1ポート番号10500へのアクセス許可<br />
(1)Fire Wall : Permit access from IP address 127.0.0.1 to IP address 127.0.0.1 port 10500.<br />
<br />
(2)juliusの音響モデルと辞書の登録<br />
(2)Set up acoustic model and dictionaries for julius.<br />
<h3>
</h3>
<h3>
<a href="https://sites.google.com/site/khuuyjblend/home/blender/script/blendpose" target="_blank"><b>Blend Pose</b></a></h3>
<br />
2.66にてテキストエディタから動かした場合と、Add-onで動かした場合で、参照するスコープが変わってAdd-onで動作しなかったので、スコープを明示的に記述することで対応。<br />
元々、Boneの初期位置を編集している振りをすることで、ConstraintsのようにTranslationプロパティを変えずにBoneを動かしているが、所詮フェイクなのでバージョンアップで動作しなくなる可能性あり。本命はScript-Constraintの復活。<br />
It couldn't work in 2.66, even though it could work on Text Editor, not on Add-on, because the scopes on Text Editor and on Add-on were different.<br />
Anyway, it work with faking to change initial position, it works without changing Translation property like Constraints. But it is just fake, it may be to be unable to work in future version. The best is revival of Script-Constraint.<br />
<h3>
</h3>
<h3>
<a href="https://sites.google.com/site/khuuyjblend/home/blender/script/vsq_importer" target="_blank"><b>VSQ Importer</b></a></h3>
<h3>
<a href="https://sites.google.com/site/khuuyjblend/home/blender/script/copy-driver-variables" target="_blank"><b>Copy Driver Variables</b></a></h3>
<br />
メンテしてないです、ハイ<br />
Yeah, I have not take care of this...<br />
<br />
<br />
<a name='more'></a><br />
<br />
ところで<br />
By the way,<br />
<br />
パソコンが旧式ノートパソコンからちょっと旧式デスクトップに変わってます。<br />
My PC have been replaced from old laptop to little old desktop.<br />
<br />
<br />
Windows8入れました。<br />
I installed Windows8.<br />
<br />
ええ、エアロの無いWindows7ですよ。<br />
Yes, it is Windows7 without Windows Aero.<br />
<br />
新デスクトップ?<br />
New designed desktop?<br />
<br />
何それ?<br />
What is it?<br />
<br />
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-12394586710869947752012-09-05T19:26:00.002+09:002012-09-05T19:27:12.453+09:00Blender Add-on : Real-time Lipsync Debug<b>Lipsyncスクリプトをvoxforge.orgの英語辞書を使ってデバッグ&一部変更。</b><br />
<ol>
<li>tri-phone + 長音が正しく処理されていなかった不具合を修正</li>
<li>Linuxで相対パスが正しく処理されなかった不具合を修正</li>
<li>ストリームバッファを4096→8192に拡張 </li>
<li>棄却値を尤度から尤度×レベルに変更(音量0.1でも尤度0.9と言う風に感覚的に解り難かったため)</li>
</ol>
<br />
<b>I debugged the lipsync script and change some of the functions with English model from voxforge.org.</b><br />
<ol>
<li>Repair the bug that it can't correct the combination of tri-phone with long-voice( : ).</li>
<li>Repair the bug that it can't correct the relative path in Linux.</li>
<li>Extend the stream buffer from 4096 byte to 8192 byte.</li>
<li>Change the thresholds from the plausibility to the plausibility multiplied with the volume( because it was hard to know such cases like that in a sencibility, the plausibility is 0.9 even though the volume is 0.1.) </li>
</ol>
<br />
<b>英語の辞書について</b><br />
voxforge.orgの辞書&モデルをダウンロードして、単語辞書にCMU音響モデルのwikiにある単語を追加してテストしていますが、品質がそれほどよく無く、エラーも多いので対応するトライフォンが無いと言うエラーは解消する程度には辞書を充実させる必要があるかもしれません。<br />
尚、voxforge.orgのモデルに添付されている辞書だけでもやはり同様のエラーが出るので、そもそも基本的には音響モデルがメインで辞書は動作させるための最低限のサンプルなのですが、 整合性の点では最初から甘いのでしょう。<br />
また、スペイン語やポルトガル語のような開音節主体の言語は、そのかなりを日本語辞書で賄える筈です。<br />
<br />
<b>About English dictionary</b><br />
I tested with the model and dictionaries from voxforge.org, and added the words from CMU phonemes wiki to that word dictionary. But that quality is not good, and it output many error and warn messages. So it may be necessary to correct the dictionaries as well as to remove the message that the tri-phone does not exist. <br />
Even if we use voxforge.org default dictionary, the same message are output, so its correction is not good from the first, and it should be for working in the least with the English acoustic model.<br />
In the languages with open syllable mainly like Espanol or Portuguese, Japanese language model can cover many.<br />
<br />
<b>リップシンクのメインモジュール</b><br />
古い話なので今一度。オープンソースの音声認識ソフトjuliusのデバイスストリーミング処理のごく一部を改造して、サーバーモード時の出力レコードに音素候補をその尤度値と共にリアルタイム出力するようにしています。<br />
使用には127.0.0.1:10500へのアクセスを許可する必要があります。<br />
<br />
<b>The core module</b><br />
This lipsync core module is the modified julius as open source voice recognize software, its modified part is minimum, and make to output the phonemes list with plausibilities to the record in server mode.<br />
It is necessary to open 127.0.0.1:105000.<br />
<br />
<br />
Lipsync tool( modified julius and Blender add-on ) <a href="http://sites.google.com/site/khuuyjblend/home/blender/script/lipsync">http://sites.google.com/site/khuuyjblend/home/blender/script/lipsync</a><br />
julius ( julius original and Japanese dictionaries ) <a href="http://julius.sourceforge.jp/">http://julius.sourceforge.jp/</a><br />
voxforge.org ( English model ) <a href="http://voxforge.org/">http://voxforge.org/</a><br />
CMN phonemes ( wiki ) <a href="http://www.speech.cs.cmu.edu/cgi-bin/cmudict">http://www.speech.cs.cmu.edu/cgi-bin/cmudict</a><br />
<br />
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-21438669129675813652012-05-23T00:22:00.000+09:002012-05-23T00:22:02.834+09:00Blender-Sculpt 2<div class="separator" style="clear: both; text-align: right;float:right"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjiNZtqRB1Hmp3JuR7iaFNPFS_L-iFzdDcI8C0S6RUQ7SeDJftejGW6trkhLYpPfS0dNl0A0nsRs0rSCejy0AqZOFylTxPzt0StEcUmlb7Uj7idHQaB_aZfg9_t_IO1qEgYJCrpHs5R0KPy/s1600/sculptE.jpg" imageanchor="1" style=""><img border="0" height="200" width="112" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjiNZtqRB1Hmp3JuR7iaFNPFS_L-iFzdDcI8C0S6RUQ7SeDJftejGW6trkhLYpPfS0dNl0A0nsRs0rSCejy0AqZOFylTxPzt0StEcUmlb7Uj7idHQaB_aZfg9_t_IO1qEgYJCrpHs5R0KPy/s200/sculptE.jpg" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhSAkMEa21qx5tiCTK-1wSyx5F7jo_LvWdGGF6TAT4aerfVCNS8o6bccCgrBZTS92RA4pLhSwrLWirUYs7GL73BOM_xVMvzPWeVO5l62hLeqKeD0JOzPxkm3u4BDoBsDbFpGTTpIBVBKeBq/s1600/sculptD.jpg" imageanchor="1" style=""><img border="0" height="200" width="112" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhSAkMEa21qx5tiCTK-1wSyx5F7jo_LvWdGGF6TAT4aerfVCNS8o6bccCgrBZTS92RA4pLhSwrLWirUYs7GL73BOM_xVMvzPWeVO5l62hLeqKeD0JOzPxkm3u4BDoBsDbFpGTTpIBVBKeBq/s200/sculptD.jpg" /></a></div><br />
やはり、リトポ不要、もしくはテクスチャベイク後に一部貼り直し+UV修正なベースメッシュを作る方がはるかに効率的か・・・<br />
<br />
Anyway, to make the base-mesh as unnecessary to re-topology, or as necessary only to retake some parts of the mesh and uv, it looks much better than to make new mesh to re-topology...<br />
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-19277569518282968442012-05-21T23:47:00.000+09:002012-05-22T19:09:26.422+09:00Blender Add-on : BlendPose Add-onBlendPose Add-on updated for Blender 2.63 API<br />
<a href="http://sites.google.com/site/khuuyjblend/home/blender/script/blendpose">http://sites.google.com/site/khuuyjblend/home/blender/script/blendpose</a><br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-72783026723221289102012-05-07T00:24:00.001+09:002012-05-07T00:24:37.084+09:00Blender-Sculpt<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjijRVb8UCSP3eeVgeQnJ9J1Q_NmqpH25PGSC5dQorlIA6aDedyCFuT-Mj4pAQfJi6r894eXHZc1b9J5upyd3_NUzVQBj9tmq9OWxLnb0FanhegcUdDhn8uLglViWAoGbM1659qaRUbDhWw/s1600/sculpt1.jpg" imageanchor="1" style="clear:right; float:right; margin-left:1em; margin-bottom:1em"><img border="0" height="200" width="134" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjijRVb8UCSP3eeVgeQnJ9J1Q_NmqpH25PGSC5dQorlIA6aDedyCFuT-Mj4pAQfJi6r894eXHZc1b9J5upyd3_NUzVQBj9tmq9OWxLnb0FanhegcUdDhn8uLglViWAoGbM1659qaRUbDhWw/s200/sculpt1.jpg" /></a></div>あまり使っていなかったスカルプトに挑戦中。<br />
Blenderのスカルプトモードにハイド機能が追加されたため、廉価GPUでも全身いけるかな?と思ったからなんだけど、Multiresolution Lv3で大まかな形にする(下絵なしで作りながら考えていた。この無計画さが駄目すぎる・・・) ⇒ Lv4で全体の流れを削る ⇒ Lv5で均してディテールを詰める(いまここ)と言う流れ。全身のプロポーションを作る段階から分割数を多くしていると重すぎるからだが、これだと殊の外、時間が掛りすぎている。<br />
と言うのは、ポリゴンが細かい方がブラシの効きがよく、粗いとかなり強引に引っ張ったりすることになる。<br />
普通はこういうの一体何時間ぐらいで作るもんなんだろうか?<br />
<br />
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhm35kldVC9XMoUwyzyslRp2qpOt6_Bioa5HRZOxHpyqFFUwxUZ3DDBhOPmuB1099Uf0M6TFC5Qh1xYO-6-BOpoqQne2-GRSeU1iuFLgqwq5sc02C2HKNDuZJvGATjEw_1qC7zKeDQApjgp/s1600/sculpt2.jpg" imageanchor="1" style="clear:right; float:right; margin-left:1em; margin-bottom:1em"><img border="0" height="200" width="134" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhm35kldVC9XMoUwyzyslRp2qpOt6_Bioa5HRZOxHpyqFFUwxUZ3DDBhOPmuB1099Uf0M6TFC5Qh1xYO-6-BOpoqQne2-GRSeU1iuFLgqwq5sc02C2HKNDuZJvGATjEw_1qC7zKeDQApjgp/s200/sculpt2.jpg" /></a></div>I'm trying SCULPT now, I have rarely used it before.<br />
This is why I thought it possible with even low-rank GPU because Blender sculpt mode got HIDE function. But in a real, I make rough shape in Multiresolution modifire's Lv3( I made it without the design, and that haphazard is bad... ), decide shape in Lv4, make the detail and the surface smooth in Lv5 (Now, on here), because it is too heavy to display many polygons for making full body style, so it is hard to subdivide to high level from the first. But that task makes me to spend much time.<br />
The blush is more useful with more dens polygons, and need to drive forcibly with rough polygon.<br />
In general, how time do they spent to make such full body sculpt model.<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-81338692034533569612012-03-09T21:21:00.002+09:002012-03-09T21:21:26.215+09:00Blender Add-on : Lipsync Tool #2<iframe allowfullscreen="" frameborder="0" height="225" mozallowfullscreen="" src="http://player.vimeo.com/video/38157187?title=0&byline=0&portrait=0" webkitallowfullscreen="" width="400"></iframe><br />
<a href="http://sites.google.com/site/khuuyjblend/home/blender/script/lipsync">⇒ 詳細 / Details</a> 作成中<br />
<br />
構成 : Blender python-script + 改造版julius<br />
入力 : 既定の録音デバイス(手動でjuliusを起動する場合は環境変数PORTAUDIO_DEV_NUMで変更可能)<br />
必須 : julius用の音響モデル、辞書、及び設定ファイル<br />
(基本juliusウェブサイトで公開されているものが利用できるが、設定ファイルにinputがmic以外で設定されているとエラーになる)<br />
動作確認済:Ubuntu11.10_amd64、Windows32bit/64bit(Visual C++ 2008 SP1再頒布パッケージ要)<br />
(ソースコードを公開しているので、上記以外の環境についてはご自分でビルドして下さい)<br />
モジュールの配置:任意。但し、パスに空白を含まないこと。(Windowsの場合はportaudio_x86.dllを同一フォルダに置いておくこと)<br />
設定ファイルの配置:任意。但し、パスに空白を含まないこと。<br />
<br />
<br />
SET : Blender python-script + modified julius<br />
INPUT : Default recording device(microphone) (If starting julius with handle,it can be changed with the environment value as PORTAUDIO_DEV_NUM)<br />
MUST : The acoustic model , the dictionaries and configuration file for julius<br />
(The configures published on julius web site is available, but if it has the line as input without mic, it can't)<br />
TESTED : Ubuntu11.10_amd64、Windows32bit/64bit(Need Visual C++2008 SP1 republish package)<br />
PLACE OF EXECUTABLE MODULE : Any, but the path must not include SPACE (If on Windows,portaudio_x86.dll must be put at where is same as the julius executable module)<br />
PLACE OF CONFIGURE : Any, but the path must not include SPACE.<br />
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-17621708713052470892012-02-29T20:24:00.001+09:002012-02-29T20:26:04.817+09:00Blender Add-on : Lipsync Tool<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg2lwRXZeZi90zNGXnB1gWrutocAzlZWP5o0MKJPNm9k3mZn4ZVsr6C-Eo81ysjP2NVpiSUPF3l2lgWB_NuOd77YcYiflvLApPNo9pbtdpX8axi2PAEFV6_-Vwg8kLiHAa8KsO5xKmVo7Oa/s1600/li.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="222" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg2lwRXZeZi90zNGXnB1gWrutocAzlZWP5o0MKJPNm9k3mZn4ZVsr6C-Eo81ysjP2NVpiSUPF3l2lgWB_NuOd77YcYiflvLApPNo9pbtdpX8axi2PAEFV6_-Vwg8kLiHAa8KsO5xKmVo7Oa/s320/li.jpg" width="320" /></a></div>
<b>Blenderのためのリアルタイム・リップシンク</b><br />
<br />
<b>概要</b><br />
オープンソースの音声認識ソフト(STT)<a href="http://julius.sourceforge.jp/" target="_blank"><b>julius</b></a>を利用したリップシンクツールで、改造したjuliusを用いる。Linux、Windowsでのビルド、動作は確認済。小改造なのでおそらくMacでもビルド可能な筈。<br />
<br />
<b>機能</b><br />
リアルタイムでマイク入力によるリップシンク(シェイプキーアニメーション)を行う。通常のレコードアニメーションではシェイプキーは登録されないため、ビューポートアニメーションでシェイプキーアニメーションを登録する機能を備える。<br />
コアモジュール(<a href="http://julius.sourceforge.jp/" target="_blank"><b>julius</b></a>)については、追加した引数によってリアルタイムで音素候補をウェイト付きで出力する機能を追加している。その他の機能は従来のjuliusと変わらず、辞書の設定、調整やサポートツールの利用も変わらない。<br />
<br />
<b>問題点</b><br />
音響モデルと辞書。日本語については<a href="http://julius.sourceforge.jp/index.php?q=dictation-kit.html" target="_blank"><b>juliusディクテーションKIT</b></a>のものがそのまま利用可能。<br />
日本語以外については、現在のところ商用利用可能な日本語辞書は<a href="http://www.voxforge.org/" target="_blank"><b>Voxforge.org</b></a>のGPLv2辞書ぐらいしか見当たらないが、単語辞書、文法辞書はデモ用の最低限のものしか登録されておらず、辞書にない音素記号は抽出出来ないので追加する必要がある。<br />
juliusのフォーラムで紹介されているgoogleの辞書(有償)と言うのも加工が必要。 <br />
サイズが大きすぎてgoogleサイトに置けないので、公開時にはリンク先のみ記す。<br />
<br />
<br />
<b>The real-time lipsync for Blender</b><br />
<br />
<b>Overview</b><br />
The lipsync tool with <a href="http://julius.sourceforge.jp/en_index.php?q=index-en.html" target="_blank"><b>julius</b></a> as an opensource voice recognize software(STT),it uses the modified julius. I built and tested on Windows and Linux. Its modify is a little,so perhaps it can on Mac,too.<br />
<br />
<b>Function</b><br />
It animate shapekeys with mic in a real time. The standard recording animation function can't entry shapekeys, so it have also the function for recording action.<br />
The core module as julius was added the function to output phonemes symbols with those wrights in a real time. There is nothing as different from the original julius without that. So the way to set or adjust the dictionary,and to use support tools is as same as for the original.<br />
<br />
<b>The Problem</b><br />
It needs the acoustic model and the dictionaries. In Japanese,the dictionary in <a href="http://julius.sourceforge.jp/index.php?q=dictation-kit.html" target="_blank"><b>julius dictation Kit(Japanese only)</b></a> is available,but in Other languages,I found only the GPLv2 dictionaries on <a href="http://www.voxforge.org/" target="_blank"><b>voxforge.org</b></a>. But its words and grammar dictionary is just for demo,it has the least. julius can't output phoneme symbols out of dictionary. So it must be added words dictionary.<br />
Anyway,those dictionary files are too large to put on the google-site, because those include acoustic models.<br />
So when I'll publish this tool,I'll note only the links for the dictionaries.<br />
<br />
<br />
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</div>khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-42195680508623467752012-02-25T10:55:00.000+09:002012-02-25T10:55:05.114+09:00Blender-Script : Changed Matrix process<br />
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" width="320" /></div>
Blender2.62でまたMatrixの手順が変わった(バグ修正の続き)ので、リグ関係のスクリプトがまたアウトになったんじゃないかと思うが、今、こういうものを作っていたりするので、暇になったらまたチェックする。<br />
<br />
The process of Matrix was changed at Blender 2.62 again (it's the task to fix bug since 2.59?), so I was wondering that my rigging script might be broken again.<br />
But now I'm making this and having other tasks, so when I get time,I'll check about them.khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-74447969827644248262012-02-11T17:01:00.003+09:002012-02-11T17:01:58.168+09:00Blender Script : Bugs & Remodeled specigicationsbpy.types.Operator.reportの第一パラメータがENUM値でなくてはならなくなったため、動かないスクリプトがあると思います。<br />
いずれ直しますが、動かない場合、すぐに必要な人はpyファイルで".report"を検索して、第一パラメータを"{"と"}"で囲って下さい。<br />
<br />
#1 parameter of bpy.types.Operator.report must be ENUM parameter from Blender 2.61.<br />
I think some my scripts using string for #1 parameters,so those can't work without repairing them.<br />
I'll repair at someday,but if it can't work and you need it soon, please search ".report" and enclose #1 parameter with "{" and "}" in py file.<br />
<br />
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-61668551395514104762012-01-09T23:25:00.001+09:002012-06-14T00:28:06.708+09:00Blender Add-on : Calc Edge Len<b><u>エッジ長計算スクリプト</u></b><br />
<br />
エディットモードで選択エッジの長さの合計を計算します。<br />
<br />
割と基本的な機能だと思うのですが、Blenderには無いので作りました。<br />
あまりうまい作りではないので暫定公開、保存先はいずれ変えます。<br />
<br />
アドオンとしてインストール、Meshカテゴリから選択するとUIパネルにEDITモードのときのみ、表示され、[Calculate]ボタンで計算。<br />
<br />
<br />
<b><u>The script for calculating the edge length</u></b><br />
<br />
The script that calculate the summery of the selected edge's length.<br />
<br />
I think it is one of basic functions,but Blender doesn't has it. So I made the script.<br />
Its code is not good,so I'll change it and its link in future.<br />
<br />
Install to add-on,and select from Mesh category,then it is to be at UI property panel.<br />
Push [Calculate] button,then it calculate.<br />
<br />
<div style="color: red;">
<span style="font-size: large;">Measure Add-onがエッジ長、面積合計に対応したので破棄で</span></div>
<div style="color: red;">
<span style="font-size: large;"><br /></span></div>
<div style="color: red;">
<span style="font-size: large;">This is removed,because the measure add-on have been able to calculate the summary of edges and faces.</span></div>khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-76332613558042846782012-01-01T00:21:00.000+09:002012-01-01T00:21:22.183+09:00A happy new year<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiFxFmUUdFl0gt08Vs6WdMjW8kqwEhhqHabqDDupyizm7TAMz0i94-Z6RAO4poLqO0uxjManR3MjmdBuFTvUmJZh9bEU1YNY43yVhI2yjeUhrzCJc8sW5wFsxlSK-k6iKM6aXUtiMWJs8a-/s1600/c.png" imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiFxFmUUdFl0gt08Vs6WdMjW8kqwEhhqHabqDDupyizm7TAMz0i94-Z6RAO4poLqO0uxjManR3MjmdBuFTvUmJZh9bEU1YNY43yVhI2yjeUhrzCJc8sW5wFsxlSK-k6iKM6aXUtiMWJs8a-/s320/c.png" width="213" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
あけおめ~~~~<br />
新年明けましておめでとうございます<br />
今年こそはおめでたいHappyな年にしたいので御座いますよ<br />
<br />
今年はちょっとネタがあるかもしれんけど、それとは別に、パソコンが最新には及ばないけど、ちょいパワーアップしたので、テスト動画じゃないものを作ろうと思ってもいるところ<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-68352524614000900392011-11-02T23:52:00.000+09:002011-11-02T23:52:58.327+09:00Maintenance : Blender Scripts<br />
<b>Face Bone Tool</b> : ノーチェック。但し、以下の問題が発生すると思われる*<br />
<b>Deform Bone Aid @ Face</b> : Rotation-Matrixのバグ修正に伴う修正を行った。但し、以下の問題あり*<br />
<b>Deform Bone Aid @ Body</b> : 上に同じ<br />
<b>Blend Pose</b> : Rotation-Matrixのバグ修正に伴う修正を行った。<br />
<b>Others</b> : ノーチェック。最近のBlenderの変更による影響は無いと思われる。<br />
<br />
<b>*問題点</b> : 現在、バンドル関数によるエディットボーンへのカスタムプロパティの登録が行えない。これにより、カスタムプロパティで対象ボーンをマーキングしているため、各削除、リセット機能が使えない。<br />
<br />
もともとBone Edit Modeで新規作成したBoneはEdit Modeを抜けないとData Boneにアクセス出来ないが、Edit Boneに設定したプロパティはそのままData Boneに引き継がれていた。これが引き継がれなくなったためと思われるが、確認は後日行う。<br />
<div>
<br /></div>
<br />
<hr />
<br />
<b>Face Bone Tool</b> : Not developed. However,it may have the following trouble*<br />
<b>Deform Bone Aid @ Face</b> : Fixed the fix of rotation-matrix bug,but there is the following trouble.<br />
<b>Deform Bone Aid @ Body</b> : Same as above<br />
<b>Blend Pose</b> : Fixed the fix of rotation-matrix bug<br />
<b>Others</b> : Not developed,but I think those are not influenced by recent change of Blender<br />
<br />
<b>*Trouble</b> : Edit Bone's Custom property can't be set by bundled function. By this trouble,the function of remove and re-set can't work because I marked those bones by custom properties.<br />
The new bones in Bone Edit Mode couldn't be taken from Data Bone Set until finishing Edit Mode from the first,but the properties of edit bones were taken to the data bones. So I think it is because that was to be impossible,and I will test it after.<br />
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-62193264496395147372011-10-11T21:25:00.001+09:002011-10-11T21:27:49.597+09:00Blender Add-on : BlendPose (4)<div class="separator" style="clear: both; text-align: center;">
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<br />
これのdriver_namespaceのエントリーがうまく行ったりいかなかったりで、いまいちまともに動かなかった原因が解った。<br />
サンプルコードの多くがdriver_namespaceの登録をスクリプト起動時に行っているが、テキストエディタにコードを書いて動かすならそれでいいのだが、Add-onとして動かすにはそれでは問題があった。<br />
API wikiによるとファイルをオープンするとリセットされる・・・つまり、Blenderを起動して新規にリグを組む場合はうまく行くが、それ以外はnamespaceがリセットされるのでドライバーでエラーになる。<br />
実際には常に動いていたこともあったのだが、動いていた方がバグで、2.59.4ではファイルをオープンすると必ずエラーになる。<br />
そんな訳で、コールバック処理にnamespaceのチェックを行って無かったら再登録するように修正した。<br />
<br />
There were when this add-on's namespace could be given,but it couldn't at another time. I didn't know that causes.<br />
The entry of namespace is written at register section at the many sample codes,but it is right when it is started from Blender-TextEditor,but it has the trouble for add-on.<br />
API wiki says,reset when open file...so,it can go well when making new rig after starting Blender,but in other cases,the driver errors are happened because the driver namespace is reset. In the real,there were when it could always work,but it was bug,and it always makes error when opning files at 2.59.4.<br />
So I fixed it with adding the re-entry in callback function.<br />
<br />
<b><a href="http://sites.google.com/site/khuuyjblend/home/blender/script/blendpose">Blend Pose Add-on</a></b> <br />
<br />
<br />khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-30458155806238770922011-08-23T22:01:00.001+09:002011-08-23T22:02:42.680+09:002.59svnうちのスクリプトの多くが最新ソースで動きません。<br />
原因は、(Vector*Matrix)が削除されているからで、Vector*MatrixとMatrix*Vectorが同じになると再三言われていたのが修正に入った模様。<br />
2.6になったらこっちも修正するか。<br />
<br />
The most of my Blender scripts can't work in the latest builds.<br />
It is because (Vector * Matrix) process have been removed.<br />
It was said that the result of (Vector * Matrix) and (Matrix * Vector) became same and it was bug.<br />
It seems they are fixing it now.<br />
I'll fix my script since 2.6.<br />
<br />
khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-61745023596891507652011-05-15T19:55:00.001+09:002011-05-15T20:05:45.315+09:00Blender Add-on : Deform Bone Aid @Face<iframe src="http://player.vimeo.com/video/23746194?title=0&byline=0&portrait=0" width="432" height="261" frameborder="0"></iframe><br />
VSQ Importerがあるので、少ないコントローラーでの操作や、本体以外一切触らない胴体用デフォーマーとか、一見、MMDのインポートを目的にしているように見えるかもしれないが、kinectも出たことだし、本命はこっち系。khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-68884335148963206852011-05-14T23:29:00.003+09:002011-05-15T20:01:48.192+09:00Blender Add-on : Deform Bone Aid @Body<iframe src="http://player.vimeo.com/video/23722992?title=0&byline=0&portrait=0" width="432" height="261" frameborder="0"></iframe><br />
原則肩周りと股関節、膝のみ。<br />
bvhのサンプルデータに初期姿勢で四肢がロールしているものがあったので、回転用のダミーBoneを使ってそれを基準にデフォーマーを動かしているが、特殊なケースであれば本体を基準にしたい。<br />
<br />
基本骨格の12個のBoneを選択することで、人型Boneであれば基本何にでも対応。<br />
[Generate]ボタン2度押しでConstraintをリセットするのはいつものパターン。khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0tag:blogger.com,1999:blog-4920931404954664209.post-57537485874958394772011-05-12T20:00:00.000+09:002011-05-15T20:04:45.245+09:00Blender Add-on : Deform Bone Aid<b>Auto Face Rig</b> → <b><a href="http://sites.google.com/site/khuuyjblend/home/blender/script/autofacerig">Deform Bone Aid @Face</a></b><br />
<div style="padding-left:10px;">Fixed Roll Problems</div><br />
Making Now : <b>Deform Bone Aid @Body</b><br />
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhX6aUELFm2cL5Z5YXjmTEeZL8TeGZ4yA7mFJwU-2BrmZ5sQD8Fsj1HoM4zKq1QvXfIExtKZbDlOR5I9BOIZtdDvOmiNHFt-k4kEPr_5maAySXgkYPiCiFUl4ixFd_tz6wjL2THqbhxHCMq/s1600/Screenshot-1.png" imageanchor="1" style="clear:left; float:left;margin-right:1em; margin-bottom:1em"><img border="0" height="125" width="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhX6aUELFm2cL5Z5YXjmTEeZL8TeGZ4yA7mFJwU-2BrmZ5sQD8Fsj1HoM4zKq1QvXfIExtKZbDlOR5I9BOIZtdDvOmiNHFt-k4kEPr_5maAySXgkYPiCiFUl4ixFd_tz6wjL2THqbhxHCMq/s200/Screenshot-1.png" /></a></div>・For deforming around shoulder with upperarms<br />
・For deforming around hip joints with thighs<br />
・Any name,any roll axis,but top axis must be global Z or global Y<br />
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrMBzO5em6UtC8YFCBn4cL4r09KJFR1pB6uqPEodAsZme7EL7VcTyoM5z0_lGY50Df0myqroxEJ1ApMIA_0laKKJBsxPanWv74BTnKHe5xaYfBbC4a575taTd6T54iWw5eaGm2JNyDCQOX/s1600/Screenshot-9.png" imageanchor="1" style="clear:left; float:left;margin-right:1em; margin-bottom:1em"><img border="0" height="200" width="195" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrMBzO5em6UtC8YFCBn4cL4r09KJFR1pB6uqPEodAsZme7EL7VcTyoM5z0_lGY50Df0myqroxEJ1ApMIA_0laKKJBsxPanWv74BTnKHe5xaYfBbC4a575taTd6T54iWw5eaGm2JNyDCQOX/s200/Screenshot-9.png" /></a></div>・Select the bones of ribs,hips,arms and legs.<br />
・The dialog notes the selected bones list.<br />
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjxwHgqMPZYul60RtPn_vQqZxBSQvc_zAeepvrP7dWmARXlzuDkIgjbqigNSuXmZW5Wh1VrL0dG6_-OFcx8ggrkMY6TwwXWFf9YUirUBrBIYcnbpbNNNaqpcC_oQr0pw1FdDBddMdzhyphenhyphendVt/s1600/Screenshot-10.png" imageanchor="1" style="clear:left; float:left;margin-right:1em; margin-bottom:1em"><img border="0" height="200" width="196" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjxwHgqMPZYul60RtPn_vQqZxBSQvc_zAeepvrP7dWmARXlzuDkIgjbqigNSuXmZW5Wh1VrL0dG6_-OFcx8ggrkMY6TwwXWFf9YUirUBrBIYcnbpbNNNaqpcC_oQr0pw1FdDBddMdzhyphenhyphendVt/s200/Screenshot-10.png" /></a></div>・Alert short list,but less accurate(If not selected spines,all bones not listed).khuuyjhttp://www.blogger.com/profile/02683718819655236070noreply@blogger.com0