56 lines
2.8 KiB
Python
56 lines
2.8 KiB
Python
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# WL-814x3 평가기 — 안별로 ① 부위 dHue ② 최적 _DiffuseColor 역이득(예측) ③ 게임 크기 고유색
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import json, sys
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import numpy as np
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from PIL import Image
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RAW='Screenshots_WL/WL814x/4th/raw'
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def L(n): return np.asarray(Image.open(RAW+'/'+n+'.png').convert('RGB'),dtype=np.uint8)
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def hue(c):
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r,g,b=[float(x) for x in c]; mx,mn=max(r,g,b),min(r,g,b); d=mx-mn
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if d<1e-6: return 0.0
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if mx==r: h=((g-b)/d)%6
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elif mx==g: h=(b-r)/d+2
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else: h=(r-g)/d+4
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return h*60.0
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def sat(c):
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mx=max(c); return (mx-min(c))/mx if mx>1e-6 else 0
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def dh(a,b): return (b-a+540)%360-180
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idm=L('idmap'); maF=L('mask_Face')[:,:,0]>127; ma=(L('mask_all')[:,:,0]>127)&~maF
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G=np.array(Image.open('Assets/WL/Look/Character/Textures/WLPalette_FINAL.png')).shape[0]//8
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idref=np.array([[9+j*15,240-j*11,40+j*7] for j in range(G*G)],np.float32)
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fl=idm.reshape(-1,3).astype(np.float32); d2=((fl[:,None,:]-idref[None,:,:])**2).sum(2)
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kid=np.where((d2.min(1).reshape(idm.shape[:2])<400)&(idm.sum(2)>12), d2.argmin(1).reshape(idm.shape[:2]), -1)
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tgt={int(k):np.array(v,np.float32) for k,v in json.load(open('AgentScripts/WL814x2_target.json')).items()}
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NAME={8:'머리칼(주)',4:'머리칼(밝)',2:'흰튜닉',1:'가죽갑옷',15:'붉은바지',0:'머리피부',5:'다리피부',14:'부츠흰면',11:'팔소매',10:'벨트',12:'머리칼(하)',3:'부츠갈색',13:'가죽(어두운)',9:'붉은천'}
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cells=[]
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for j in range(G*G):
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sel=ma&(kid==j); n=int(sel.sum())
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if n<800: continue
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cells.append((j,n,sel,tgt[j]))
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m10=L('mask_all10')[:,:,0]>127
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def cellmeans(im):
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return [(j,n,o,im[sel].mean(0).astype(np.float64)) for j,n,sel,o in cells]
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def errs(cm,g):
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return [(j,n,o,np.clip(s*g,0,255),dh(hue(o),hue(np.clip(s*g,0,255))),sat(o)) for j,n,o,s in cm]
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def wavg(out):
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ch=[(n,abs(e)) for j,n,o,s,e,so in out if so>0.12]
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w=np.array([c[0] for c in ch],float); e=np.array([c[1] for c in ch])
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return (e*w).sum()/w.sum(), e.max()
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print('%-18s %7s %7s | %-22s %7s %7s | %6s %6s'%('안','dHue','최대','최적 _DiffuseColor','dHue*','최대*','고유색','비율%'))
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best={}
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for v in sys.argv[1:]:
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cm=cellmeans(L(v))
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o0=errs(cm,np.ones(3)); a0,m0=wavg(o0)
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bb=None
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for gr in np.arange(0.80,1.25,0.015):
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for gb in np.arange(0.70,1.35,0.015):
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gg=(1.0-0.299*gr-0.114*gb)/0.587
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if gg<0.7 or gg>1.4: continue
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g=np.array([gr,gg,gb]); a,m=wavg(errs(cm,g))
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sc=a+0.35*m
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if bb is None or sc<bb[0]: bb=(sc,g,a,m)
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g=L(v+'_g')[m10]; k=(g[:,0].astype(np.int32)<<16)|(g[:,1].astype(np.int32)<<8)|g[:,2].astype(np.int32)
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uc=len(np.unique(k))
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print('%-18s %7.1f %7.1f | %-22s %7.1f %7.1f | %6d %6.1f'%(v,a0,m0,str(np.round(bb[1],3)),bb[2],bb[3],uc,100.0*uc/m10.sum()))
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best[v]=bb[1]
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json.dump({k:[float(x) for x in v] for k,v in best.items()}, open('AgentScripts/WL814x4_gains.json','w'))
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