lesson4_从无到有创建新节点
image.png
image.png
绘画比卡丘
tr_node = cmds.createNode('transform', name = 'pikaqiu_control')
for pos_list in pattern_crv_point_pos_list:
temp_crv = cmds.curve(d=3,p=pos_list)
temp_crv_shape = cmds.listRelatives(temp_crv, s=True)
if temp_crv_shape:
for s in temp_crv_shape:
cmds.parent(s, tr_node, s=True, add=True)
cmds.delete(temp_crv)
cmds.color(tr_node, rgb=(1,1,0))
获取所选择曲线点的坐标信息
import maya.cmds as cmds
sel_crv = cmds.ls(sl=True, tr=True, lon=True)
pattern_crv_point_pos_list = []
for crv in sel_crv:
crv_all_point = cmds.ls('{}.cv[*]'.format(crv), fl=True)
crv_point_pos_list = []
for crv_point in crv_all_point:
crv_point_pos = cmds.xform(crv_point, q=True, ws=True, t=True)
crv_point_pos_list.append(tuple(crv_point_pos))
pattern_crv_point_pos_list.append(crv_point_pos_list)
皮卡丘曲线信息:
pattern_crv_point_pos_list = [[(-0.098812055257697, 0.0, -0.05640749985373542),
(-0.10057944520469017, 0.0, -0.04827745147320406),
(-0.10282167380206217, 0.0, -0.03719820428618953),
(-0.10414063180051625, 0.0, -0.02268966630319433),
(-0.10295356960190756, 0.0, -0.008049232520353736),
(-0.10137082000376262, 0.0, 0.0039532852655786545),
(-0.0976777376080911, 0.0, 0.015164428252438574),
(-0.09174242661504761, 0.0, 0.022682488843627006),
(-0.08738986522014908, 0.0, 0.0240014468420811),
(-0.08303730382525051, 0.0, 0.023737655242390316),
(-0.07855284663050653, 0.0, 0.021891114044554537),
(-0.07156236923869977, 0.0, 0.017142865250119745),
(-0.06417620444735675, 0.0, 0.009361013059240503),
(-0.055602977457405035, 0.0, 0.0003920986697525845),
(-0.04465562607023593, 0.0, -0.015962980511078372),
(-0.03885221087703786, 0.0, -0.027437915097629134),
(-0.03495062128529007, 0.0, -0.03878697246941745)],
[(-0.10268977800221672, 0.0, -0.03521976728850837),
(-0.09569930061040996, 0.0, -0.03878095388433447),
(-0.08765365681983989, 0.0, -0.04075939088201563),
(-0.08013559622865146, 0.0, -0.041550765681088085),
(-0.06984772384070942, 0.0, -0.040231807682634),
(-0.061933975849984765, 0.0, -0.03746199588588037),
(-0.05322885306018765, 0.0, -0.03179047649252768),
(-0.047350567580311156, 0.0, -0.025379866487459744),
(-0.04309987793317245, 0.0, -0.019499883254410672)],
[(0.0412515745311646, 0.0, -0.015587035991861144),
(0.03476699587505905, 0.0, -0.016744996466165715),
(0.025503312080622564, 0.0, -0.014197483422695662),
(0.01392370733757689, 0.0, -0.009334049430616508),
(0.003270470973974912, 0.0, 0.0027087395021509687),
(-0.0022877393026869697, 0.0, 0.015909488909222988),
(-0.00043500254379967573, 0.0, 0.02864705412657319),
(0.00446440825453218, 0.0, 0.03554130319217785),
(0.009011051527058559, 0.0, 0.04053493698496698)],
[(0.04688598522770501, 0.0, -0.2516703951991708),
(0.05256484640932954, 0.0, -0.2515368089845021),
(0.060178484852098896, 0.0, -0.24556936263746662),
(0.06840944533076854, 0.0, -0.23774995018273049),
(0.07581730976157122, 0.0, -0.22807857162029377),
(0.08343094820434058, 0.0, -0.2153205828783558),
(0.08696552469581775, 0.0, -0.2040838075146872)],
[(-0.2203675859373292, 0.0, -0.2531801802099492),
(-0.22282254759742076, 0.0, -0.24362305624242833),
(-0.2243479442359994, 0.0, -0.2317588601645945),
(-0.22383947868980653, 0.0, -0.2195556870559654),
(-0.22214459353583027, 0.0, -0.20481018621637193),
(-0.21909380025867303, 0.0, -0.1910816164691643),
(-0.21665042338300838, 0.0, -0.18440651872899846)],
[(0.02099544872435191, 0.0, -0.14162353434784908),
(0.022358691502773087, 0.0, -0.1548799228306686),
(0.02531359337660316, 0.0, -0.17615521632224515),
(0.035064769560242376, 0.0, -0.22284266592876023),
(0.054567121927520834, 0.0, -0.2715985468469564),
(0.07200104298311824, 0.0, -0.3017385459600232),
(0.07791084673077842, 0.0, -0.30853482026983237),
(0.08352516029105556, 0.0, -0.3091258006445983),
(0.08470712104058756, 0.0, -0.30380697727170425),
(0.08588908179011959, 0.0, -0.2899189384647028),
(0.08707104253965164, 0.0, -0.27189403703433945),
(0.08913947385133272, 0.0, -0.22166070517922826),
(0.08352516029105558, 0.0, -0.16256266770262678),
(0.06343182754901103, 0.0, -0.11351129659704758),
(0.05282409423263584, 0.0, -0.09442980489903194)],
[(-0.16706665816924457, 0.0, 0.2691266640558985),
(-0.16528715077562667, 0.0, 0.27217114445570834),
(-0.1660017464817517, 0.0, 0.2743149315740834),
(-0.16838373216883504, 0.0, 0.2786025058108334),
(-0.17290950497429347, 0.0, 0.2824136829101669),
(-0.18577222768454366, 0.0, 0.2850338671659585),
(-0.20697190029958562, 0.0, 0.2852720657346669),
(-0.2174526373227525, 0.0, 0.2855102643033752),
(-0.2322209485826694, 0.0, 0.2890832428340003),
(-0.24794205411741957, 0.0, 0.29075063281495866),
(-0.25604080545350305, 0.0, 0.2897978385401253),
(-0.2574699968657531, 0.0, 0.28646305857820853),
(-0.2572317982970448, 0.0, 0.28003169722308346),
(-0.253897018335128, 0.0, 0.2747913287115001),
(-0.24341628131196114, 0.0, 0.26764537165024993),
(-0.2331737428575027, 0.0, 0.2616904074325415),
(-0.2222166086969192, 0.0, 0.2574028331957915),
(-0.21853327370053538, 0.0, 0.25589809221268905)],
[(0.026106828082446215, 0.0, 0.29065262670689596),
(0.03673589001252775, 0.0, 0.293239584717799),
(0.04493126379573342, 0.0, 0.2978492845168302),
(0.055832167270393224, 0.0, 0.30767229835554194)],
[(-0.22102561585337752, 0.0, 0.27645871869245847),
(-0.22960076432687768, 0.0, 0.27764971153600015),
(-0.2386523099377945, 0.0, 0.28074629292920855),
(-0.24651286270516962, 0.0, 0.2850338671659586),
(-0.2512768340793364, 0.0, 0.288130448559167),
(-0.2530794692361926, 0.0, 0.2899593551950914)],
[(-0.22793337434591932, 0.0, 0.2707419530434584),
(-0.2405578984874612, 0.0, 0.2745531301427918),
(-0.25056223837321134, 0.0, 0.2797934986543752),
(-0.2558026068847947, 0.0, 0.28384287432241695),
(-0.25720799049709075, 0.0, 0.28581015249586916)],
[(-0.1783440837360873, 0.0, 0.2692593681912914),
(-0.15606842943111493, 0.0, 0.2692593681912914),
(-0.13558919886041448, 0.0, 0.2665082036218857),
(-0.11546925303656842, 0.0, 0.26422938173533),
(-0.09666429458253016, 0.0, 0.26211870407103777),
(-0.08709773708014464, 0.0, 0.2612089940527384),
(-0.08026030963265753, 0.0, 0.26184851917003227)],
[(0.0009390049442551396, 0.0, 0.2764450631283793),
(-0.011635961195648623, 0.0, 0.2807564800906321),
(-0.029240913791513903, 0.0, 0.282552903824904),
(-0.057624408793011034, 0.0, 0.27967862585006886),
(-0.09277494288497992, 0.0, 0.27186689649716556),
(-0.1182543470416265, 0.0, 0.2645471696859161)],
[(-0.19899027040257272, 0.0, 0.099189153367939),
(-0.20269224885443116, 0.0, 0.11325667148500115),
(-0.20824521653221884, 0.0, 0.13324735512503683),
(-0.21824055835223666, 0.0, 0.1647141719658337),
(-0.22897629586262624, 0.0, 0.19062802112884294),
(-0.2360100549211573, 0.0, 0.20654652847183427),
(-0.23712064845671482, 0.0, 0.2180226616725955),
(-0.23378886785004221, 0.0, 0.23579215824151617),
(-0.22783628700463182, 0.0, 0.2474680980260887),
(-0.2160151690922021, 0.0, 0.25837422679785277),
(-0.2072840033134381, 0.0, 0.2652249880282507),
(-0.1991144375858322, 0.0, 0.2650672033336348)],
[(0.09918996745513856, 0.0, 0.027968835636233962),
(0.13035837049671986, 0.0, 0.029057808264729344),
(0.15748077602206112, 0.0, 0.03309463141268711),
(0.19784900750163892, 0.0, 0.0423036342189658),
(0.24730009106412176, 0.0, 0.05706326885368639),
(0.2919574471384046, 0.0, 0.07535512374287008),
(0.2919574471384046, 0.0, 0.07535512374287008),
(0.2919574471384046, 0.0, 0.07535512374287008),
(0.2775762646738049, 0.0, 0.09188086850482227),
(0.2156362594973278, 0.0, 0.15609158670202575),
(0.2156362594973278, 0.0, 0.15609158670202575),
(0.2156362594973278, 0.0, 0.15609158670202575),
(0.2156362594973278, 0.0, 0.15609158670202575),
(0.11233608851148127, 0.0, 0.12466637758787844),
(0.11233608851148127, 0.0, 0.12466637758787844),
(0.11233608851148127, 0.0, 0.12466637758787844),
(0.11233608851148127, 0.0, 0.12466637758787844),
(0.07806925387280217, 0.0, 0.18234074095877506),
(0.07806925387280217, 0.0, 0.18234074095877506),
(0.07806925387280217, 0.0, 0.18234074095877506),
(0.07806925387280217, 0.0, 0.18234074095877506),
(0.05560737835775026, 0.0, 0.17353465309867425),
(0.05560737835775026, 0.0, 0.17353465309867425),
(0.05560737835775026, 0.0, 0.17353465309867425),
(0.05356183621247537, 0.0, 0.21980953584187682),
(0.05356183621247537, 0.0, 0.21980953584187682),
(0.05356183621247537, 0.0, 0.21980953584187682),
(0.019083390170188355, 0.0, 0.21016425263704305),
(0.01920148271736366, 0.0, 0.21013107466953926),
(0.01920148271736366, 0.0, 0.21013107466953926),
(0.01920148271736366, 0.0, 0.21013107466953926)],
[(0.028580138178180475, 0.0, 0.28332050690051297),
(0.03982558715407328, 0.0, 0.2858037329820954),
(0.050135649389169507, 0.0, 0.2931292854543266),
(0.06032081873301068, 0.0, 0.30310684623154277)],
[(0.0677991441486849, 0.0, 0.06865748355224768),
(0.06664018935156937, 0.0, 0.07835519323217789),
(0.06566498753168337, 0.0, 0.08891987961427611),
(0.06306444934532077, 0.0, 0.10484817600574724),
(0.05932617570242443, 0.0, 0.12857808695630635),
(0.05770083933594783, 0.0, 0.13963037424834754),
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(0.05770083933594783, 0.0, 0.13963037424834754),
(0.05282483023651785, 0.0, 0.1384926387918139),
(0.03787173566493268, 0.0, 0.13475436514891762),
(0.01983050199704188, 0.0, 0.1315036924159643),
(0.01983050199704188, 0.0, 0.1315036924159643),
(0.01983050199704188, 0.0, 0.1315036924159643),
(0.01983050199704188, 0.0, 0.1315036924159643),
(0.020805703816927895, 0.0, 0.14125571061482417),
(0.02828225110272045, 0.0, 0.18871553251594225),
(0.02828225110272045, 0.0, 0.18871553251594225),
(0.02828225110272045, 0.0, 0.18871553251594225),
(0.02828225110272045, 0.0, 0.18871553251594225),
(0.014051031464024408, 0.0, 0.18609097225724194),
(0.014051031464024408, 0.0, 0.18609097225724194),
(0.014051031464024408, 0.0, 0.18609097225724194),
(0.014051031464024408, 0.0, 0.18609097225724194)],
[(0.009528755339294342, 0.0, 0.11229242049984083),
(0.009073532785421001, 0.0, 0.12547759255248564),
(0.008757941632300828, 0.0, 0.14220392366785467),
(0.011598262010382374, 0.0, 0.16966035398930945),
(0.016332129307184917, 0.0, 0.2027974250669273),
(0.023123106562470297, 0.0, 0.22253791346624777),
(0.026812314788114328, 0.0, 0.2398988933516314),
(0.02529322904814324, 0.0, 0.24836237104575587),
(0.02182103307106653, 0.0, 0.25964700797125523),
(0.01596170235974957, 0.0, 0.26507231418543764),
(0.014442616619778512, 0.0, 0.26767646116824517),
(0.014442616619778512, 0.0, 0.26767646116824517),
(0.014442616619778512, 0.0, 0.26767646116824517),
(0.02637829029097974, 0.0, 0.2733187796309948),
(0.052202747870487815, 0.0, 0.287424575787869),
(0.06153427455888155, 0.0, 0.29653909022769526),
(0.06088323781317964, 0.0, 0.30239842093901226),
(0.05893012757607399, 0.0, 0.3060876291646563),
(0.05524091935042996, 0.0, 0.30825775165032926),
(0.048730551893411106, 0.0, 0.3091258006445984),
(0.039616037453584746, 0.0, 0.3076067149046273),
(0.027897376030950827, 0.0, 0.3039175066789834),
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(-0.0027013510170377925, 0.0, 0.2974071392219645),
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(-0.0348010564315414, 0.0, 0.28742525661221213),
(-0.03416788959367409, 0.0, 0.2828053738949652)],
[(-0.14249776955279114, 0.0, -0.1417918200556609),
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(-0.2919574471384046, 0.0, -0.26258868793644113),
(-0.2919574471384046, 0.0, -0.2700037974880436),
(-0.28454233758680214, 0.0, -0.2700037974880436),
(-0.26276045327896974, 0.0, -0.2649059096713169),
(-0.219196684663305, 0.0, -0.2552291958655296),
(-0.14639090098898777, 0.0, -0.2228675376942308),
(-0.1035100703582385, 0.0, -0.17287438386256543)],
[(-0.11113979658506754, 0.0, -0.1701701485856167),
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(0.035729958081267194, 0.0, -0.12736380108227793)],
[(0.10927162780740757, 0.0, -0.010731203143760259),
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(0.11830935576704016, 0.0, 0.0008120586900216078),
(0.11578169925686063, 0.0, 0.0015867643462072027),
(0.11497687853405614, 0.0, 0.0015867643462072027),
(0.11619033978348439, 0.0, 0.003640355790792029),
(0.11758241991364951, 0.0, 0.00595927835361571),
(0.11932291043720056, 0.0, 0.00938210078645657),
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(0.08909783422280443, 0.0, 0.042083572322202736),
(0.07780611985450678, 0.0, 0.05923024969628435),
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(0.04139795178669001, 0.0, 0.09421937315440858),
(0.014028844255788764, 0.0, 0.11150670510506955),
(0.0073374579634642445, 0.0, 0.11297044585651551),
(0.002737129887491141, 0.0, 0.11464329242959666)],
[(0.05055207982869628, 0.0, -0.10325694483076527),
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(-0.030032442637856094, 0.0, 0.0559842407131876)],
[(0.040512732060111994, 0.0, -0.00961136628022066),
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(0.06779101869839754, 0.0, -0.019012205663711815),
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(0.1069425222112097, 0.0, -0.00448858644409486)],
[(-0.17179242364176184, 0.0, -0.08497069467494699),
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(0.006247106031825406, 0.0, -0.06775942365145134),
(0.005856123018423767, 0.0, -0.0700113016656945),
(0.004702909599115124, 0.0, -0.07158362448716285),
(0.0033825380711937914, 0.0, -0.07227086243087354)]]
lesson5_节点类型和属性的获取
image.png
image.png
import maya.cmds as cmds
import json
sel = cmds.ls(sl=True)
data = {}
for obj in sel:
obj_data = {}
all_settable_attr = cmds.listAttr(obj, settable=True)
obj_type = cmds.nodeType(obj)
obj_shape = cmds.listRelatives(obj, s=True)
if obj_shape:
obj_shape_type = cmds.nodeType(obj_shape[0])
else:
obj_shape_type = obj_type
obj_data['node_type'] = obj_type
obj_data['node_shape_type'] = obj_shape_type
for attr in all_settable_attr:
try:
attr_value = cmds.getAttr('{}.{}'.format(obj, attr))
if attr_value:
attr_type = cmds.getAttr('{}.{}'.format(obj, attr), typ=True)
obj_data[attr] = [attr_value, attr_type]
except:
data[obj] = obj_data
file_path = r'C:\Users\KangTa\Desktop\test.json'
json_str = json.dumps(data, indent=4)
with open(file_path, 'w') as f:
f.write(json_str)
lesson6_节点及其属性的连接和断开
image.png
image.png
sel_obj = cmds.ls(sl=True, tr=True, long=True)[0]
blend_color_node = cmds.createNode('blendColors')
color_list = [(1, 0, 0), (0, 1, 0)]
for index, color in enumerate(color_list):
lambert_shader = cmds.shadingNode('lambert', name="test_lambert{}".format(index), asShader=True)
shader_sg = cmds.sets(name='{}_SG'.format(lambert_shader), empty=True, renderable=True, noSurfaceShader=True)
cmds.connectAttr('{}.outColor'.format(lambert_shader), '{}.surfaceShader'.format(shader_sg))
cmds.setAttr('{}.color'.format(lambert_shader), color[0], color[1], color[2], type='double3')
cmds.connectAttr('{}.outColor'.format(lambert_shader), '{}.color{}'.format(blend_color_node, index+1))
obj_shader = cmds.shadingNode('lambert', name="{}_lambert".format(sel_obj), asShader=True)
obj_shader_sg = cmds.sets(name='{}_SG'.format(obj_shader), empty=True, renderable=True, noSurfaceShader=True)
cmds.connectAttr('{}.outColor'.format(obj_shader), '{}.surfaceShader'.format(obj_shader_sg))
cmds.sets(sel_obj, e=True, forceElement=obj_shader_sg)
cmds.connectAttr('{}.output'.format(blend_color_node), '{}.color'.format(obj_shader))
