| """Publication vector figures. TikZ/PGFPlots only; RGB comes from experiment files.""" |
| from pathlib import Path |
| import json,math |
| import numpy as np |
| from PIL import Image |
| ROOT=Path(__file__).resolve().parents[1];F=ROOT/'figures';A=ROOT/'results/analysis' |
| def esc(s):return str(s).replace('_',r'\_').replace('%',r'\%').replace('&',r'\&') |
| def write(name,body): |
| (F/(name+'.tex')).write_text(r'\documentclass[tikz,border=1.5pt]{standalone}'+'\n'+r'\input{style}'+'\n'+r'\begin{document}'+'\n'+body+'\n'+r'\end{document}'+'\n') |
|
|
| def synthetic(): |
| examples=json.loads((F/'synthetic_examples.json').read_text());lines=[r'\begin{tikzpicture}[x=1mm,y=1mm]',r'\path[use as bounding box] (-6,-2) rectangle (155,133);'] |
| for row,y,label in [(0,99,'RGB input'),(1,58,'Left of anchor'),(2,17,'Right of anchor')]: |
| lines.append(r'\node[rotate=90,anchor=south,font=\sffamily\fontsize{8}{10}\selectfont] at (-0.2,%s) {%s};'%(y,label)) |
| for i,e in enumerate(examples): |
| x=19+39*i;obj=e['scene']['objects'][0];anc=e['scene']['objects'][3];sid=e['scene']['scene_id'] |
| target=obj['color']+' '+obj['shape']+'s';anchor=anc['color']+' '+anc['shape'] |
| lines.append(r'\node[align=center,text width=36mm,font=\sffamily\fontsize{8}{10}\selectfont] at (%s,125) {\textbf{%s}\quad %s\\anchor: %s};'%(x,chr(97+i),target,anchor)) |
| for row,key,y in [(0,'rgb',99),(1,'left_gt',58),(2,'right_gt',17)]: |
| original=F/e['assets'][key]['file'];im=Image.open(original) |
| if row: |
| mask=np.asarray(im)>0;out=np.zeros((*mask.shape,3),np.uint8);out[:]=(247,248,249);out[mask]=(20,125,131);im=Image.fromarray(out) |
| |
| |
| display=F/'assets'/(sid+'_'+key+'_display.png');im.resize((1920,1920),Image.Resampling.NEAREST).save(display) |
| lines.append(r'\node[inner sep=0] at (%s,%s) {\includegraphics[width=35mm]{assets/%s}};'%(x,y,display.name)) |
| lines.append(r'\draw[rule,line width=.35pt] (%s,%s) rectangle (%s,%s);'%(x-17.5,y-17.5,x+17.5,y+17.5)) |
| if row: |
| count=e['records'][row-1]['target_count'] |
| lines.append(r'\node[anchor=south east,fill=white,inner sep=1mm,font=\sffamily\fontsize{8}{9}\selectfont] at (%s,%s) {$n=%s$};'%(x+17,y-17,count)) |
| lines.append(r'\node[font=\ttfamily\fontsize{8}{10}\selectfont,text=muted] at (%s,78) {%s};'%(x,esc(sid))) |
| lines.append(r'\end{tikzpicture}');write('Fig2_synthetic', '\n'.join(lines)) |
|
|
| def budget(): |
| alpha=.05/480;lines=[r'\begin{tikzpicture}',r'\begin{axis}[journal,width=56mm,height=36mm,xmode=log,xmin=50,xmax=2000,ymin=0,ymax=20,xlabel={Positive calibration images\\per stratum},xlabel style={align=center},ylabel={Zero-error upper bound (\%)},xtick={50,300,2000},xticklabels={50,300,2000},ytick={0,5,10,15,20},ymajorgrids]'] |
| coords=' '.join('(%s,%.6f)'%(n,100*(1-alpha**(1/n))) for n in np.geomspace(50,2000,150)) |
| lines.append(r'\addplot[teal,line width=1pt,no marks] coordinates {'+coords+'};') |
| for t,c in [(1,'muted'),(2.5,'muted'),(5,'ochre'),(10,'muted')]:lines.append(r'\addplot[%s,dashed,line width=.4pt] coordinates {(50,%s) (2000,%s)};'%(c,t,t)) |
| risk=100*(1-alpha**(1/300));lines.append(r'\addplot[only marks,mark=*,mark size=2.3pt,teal] coordinates {(300,%.6f)};'%risk) |
| lines.append(r'\node[anchor=south west,align=left,font=\sffamily\fontsize{8}{10}\selectfont] at (axis cs:310,%.6f) {$n=300$\\%.2f\%%};'%(risk,risk)) |
| lines.extend([r'\end{axis}',r'\end{tikzpicture}']);write('Fig8_calibration_budget','\n'.join(lines)) |
|
|
| def get(summary,model,pop,metric,method): |
| return next(r for r in summary if (r['model'],r['population'],r['metric'],r['method'])==(model,pop,metric,method)) |
|
|
| def forest(summary): |
| methods=[('global_direction','Global direction'),('target_only','Target phrases'),('anchor_gate','Anchor + gates'),('cacp','CACP'),('source_unconstrained_s11','Source abstention'),('constrained_0.05_s11','CACP + constrained')] |
| lines=[r'\begin{tikzpicture}[x=1mm,y=1mm]'] |
| for i,(_,label) in enumerate(methods):lines.append(r'\node[anchor=east] at (37,%.4f) {%s};'%((i+.6)/6.2*50,label)) |
| for panel,(model,name) in enumerate([('clipseg','CLIPSeg'),('groundedsam','Grounded SAM')]): |
| xpos=40+panel*62;lines.append(r'\node[anchor=west,font=\sffamily\bfseries\fontsize{8}{10}\selectfont] at (%s,58) {%s\quad %s};'%(xpos,chr(97+panel),name)) |
| vals=[get(summary,model,'controlled_primary','PC50',m) for m,_ in methods] |
| xmin=min(-2,min(r['gain_lo']*100 for r in vals)-3);xmax=max(2,max(r['gain_hi']*100 for r in vals)+3) |
| labels=','.join('{'+label+'}' for _,label in methods) |
| lines.append(r'\begin{axis}[journal,at={(%s mm,0mm)},anchor=south west,width=48mm,height=50mm,xmin=%.3f,xmax=%.3f,ymin=-.6,ymax=5.6,ytick=\empty,xlabel={PC50 gain (percentage points)},xmajorgrids,axis y line=none,axis x line=bottom]'%(xpos,xmin,xmax)) |
| lines.append(r'\addplot[muted,dashed,line width=.5pt] coordinates {(0,-.6) (0,5.6)};') |
| for i,r in enumerate(vals): |
| color='teal' if i==3 else 'ochre' if i==5 else 'ink' |
| lines.append(r'\addplot[%s,line width=.8pt,mark=*,mark size=1.6pt,error bars/.cd,x dir=both,x explicit] coordinates {(%.6f,%s) += (%.6f,0) -= (%.6f,0)};'%(color,r['gain']*100,i,(r['gain_hi']-r['gain'])*100,(r['gain']-r['gain_lo'])*100)) |
| lines.append(r'\end{axis}') |
| lines.append(r'\end{tikzpicture}');write('Fig3_paired_gain','\n'.join(lines)) |
|
|
| def capability(summary): |
| methods=[('frozen','Frozen'),('action_only','Action only'),('global_direction','Global direction'),('target_only','Target phrases'),('anchor_nogate','Anchor, no gates'),('anchor_gate','Anchor + gates'),('counterfactual_nogate','CF, no gates'),('cacp','CACP')] |
| families=['attribute','relation','quantifier','action','absence','paraphrase'];lines=[r'\begin{tikzpicture}[x=1mm,y=1mm]'] |
| for panel,(model,name) in enumerate([('clipseg','CLIPSeg'),('groundedsam','Grounded SAM')]): |
| dy=-panel*70;lines.append(r'\node[anchor=west,font=\sffamily\bfseries\fontsize{8}{10}\selectfont] at (0,%s) {%s\quad %s};'%(dy+7,chr(97+panel),name)) |
| for j,f in enumerate(families):lines.append(r'\node[font=\sffamily\fontsize{8}{10}\selectfont] at (%s,%s) {%s};'%(47+j*19,dy+7,f.title())) |
| for i,(m,label) in enumerate(methods): |
| y=dy-i*7 |
| lines.append(r'\node[anchor=east,font=\sffamily\fontsize{8}{10}\selectfont] at (36,%s) {%s};'%(y,label)) |
| for j,f in enumerate(families): |
| val=get(summary,model,'family_'+f,'PC50',m)['estimate']*100;x=47+j*19;strength=round(4+.74*val);text='white' if strength>55 else 'ink' |
| lines.append(r'\fill[teal!%s!white] (%s,%s) rectangle (%s,%s);'%(strength,x-9.1,y-3.2,x+9.1,y+3.2)) |
| lines.append(r'\node[text=%s,font=\sffamily\fontsize{8}{10}\selectfont] at (%s,%s) {%.1f};'%(text,x,y,val)) |
| lines.append(r'\end{tikzpicture}');write('Fig4_capability','\n'.join(lines)) |
|
|
| def tradeoff(summary): |
| params=json.loads((A/'calibration.json').read_text());lines=[r'\begin{tikzpicture}[x=1mm,y=1mm]'] |
| for panel,(model,name) in enumerate([('clipseg','CLIPSeg'),('groundedsam','Grounded SAM')]): |
| curves=json.loads((A/(model+'_test_curve.json')).read_text());dx=panel*83 |
| lines.append(r'\node[anchor=west,font=\sffamily\bfseries\fontsize{8}{10}\selectfont] at (%s,110) {%s\quad %s};'%(dx,chr(97+panel),name)) |
| coords=' '.join('(%.6f,%.6f)'%(r['additional_false_abstention']*100,r['no_target_accuracy']*100) for r in curves) |
| for row in [0,1]: |
| ymin,ymax=(65,85) if model=='clipseg' else (25,65) |
| if row==1:ymin,ymax=0,100 |
| lines.append(r'\begin{axis}[journal,at={(%s mm,%s mm)},anchor=south west,width=61mm,height=35mm,xmin=0,xmax=%s,ymin=%s,ymax=%s,xlabel={Additional false abstention (\%%)},ylabel={No-target accuracy (\%%)},clip=true,xmajorgrids,ymajorgrids]'%(dx+13,60 if row==0 else 0,5 if row==0 else 100,ymin,ymax)) |
| lines.append(r'\addplot[ink,line width=.8pt] coordinates {'+coords+'};') |
| for method,color,mark in [('target_unconstrained_s11','rose','triangle*'),('constrained_0.05_s11','teal','*')]: |
| x=get(summary,model,'natural_test','additional_false_abstention',method)['estimate']*100;y=get(summary,model,'natural_test','no_target_accuracy',method)['estimate']*100 |
| lines.append(r'\addplot[only marks,%s,mark=%s,mark size=2.4pt] coordinates {(%.6f,%.6f)};'%(color,mark,x,y)) |
| lines.append(r'\end{axis}') |
| lines.append(r'\node[anchor=west,font=\sffamily\fontsize{8}{10}\selectfont,text=muted] at (%s,100) {Low-intervention detail};'%(dx+13)) |
| lines.append(r'\node[anchor=west,font=\sffamily\fontsize{8}{10}\selectfont,text=muted] at (%s,40) {Full threshold sweep};'%(dx+13)) |
| lines.append(r'\node[anchor=west,font=\sffamily\fontsize{8}{10}\selectfont] at (12,-15) {\textcolor{rose}{$\blacktriangle$} Unconstrained\qquad\textcolor{teal}{$\bullet$} Calibration constraint, $\epsilon=5\%$};') |
| lines.append(r'\end{tikzpicture}');write('Fig5_abstention','\n'.join(lines)) |
|
|
| def stress(summary): |
| lines=[r'\begin{tikzpicture}[x=1mm,y=1mm]'] |
| for panel,(model,name) in enumerate([('clipseg','CLIPSeg'),('groundedsam','Grounded SAM')]): |
| dx=panel*82;lines.append(r'\node[anchor=west,font=\sffamily\bfseries\fontsize{8}{10}\selectfont] at (%s,65) {%s\quad %s};'%(dx,chr(97+panel),name)) |
| lines.append(r'\begin{axis}[journal,at={(%s mm,0mm)},anchor=south west,width=62mm,height=48mm,ymin=0,ymax=60,xmin=-.3,xmax=3.3,xtick={0,1,2,3},xticklabels={Clean,Blur,Noise,Dim},ylabel={PC50 (\%%)},ymajorgrids,legend pos=north east]'%(dx+12)) |
| for m,color,mark in [('frozen','muted','square*'),('target_only','ochre','triangle*'),('cacp','teal','*')]: |
| points=[] |
| for i,c in enumerate(['clean','blur','noise','dim']): |
| v=get(summary,model,'stress_'+c,'PC50',m);points.append('(%.2f,%.6f) += (0,%.6f) -= (0,%.6f)'%(i,v['estimate']*100,(v['hi']-v['estimate'])*100,(v['estimate']-v['lo'])*100)) |
| lines.append(r'\addplot[%s,mark=%s,mark size=1.8pt,line width=.8pt,error bars/.cd,y dir=both,y explicit] coordinates {'%(color,mark)+' '.join(points)+'};') |
| if panel==1:lines.append(r'\legend{Frozen,Target phrases,CACP}') |
| lines.append(r'\end{axis}') |
| lines.append(r'\end{tikzpicture}');write('Fig6_stress','\n'.join(lines)) |
|
|
| def qualitative(): |
| meta=json.loads((F/'qualitative/qualitative_examples.json').read_text());lines=[r'\begin{tikzpicture}[x=1mm,y=1mm]'] |
| for j,title in enumerate(['RGB input','Ground truth','Frozen errors','CACP errors']):lines.append(r'\node[font=\sffamily\bfseries\fontsize{8}{10}\selectfont] at (%s,13) {%s};'%(19+j*40,title)) |
| for i,e in enumerate(meta['examples']): |
| y=-i*45.5;d=e['record'];name='CLIPSeg' if e['model']=='clipseg' else 'Grounded SAM' |
| lines.append(r'\node[anchor=west,text width=158mm,align=left,font=\sffamily\fontsize{8}{10}\selectfont] at (0,%s) {\textbf{%s\quad %s\quad %s}\enspace %s};'%(y+5,chr(97+i),name,e['kind'],esc(d['query']))) |
| gt=np.asarray(Image.open(F/'qualitative'/e['assets']['gt']))>0 |
| for j,key in enumerate(['rgb','gt','frozen','cacp']): |
| im=Image.open(F/'qualitative'/e['assets'][key]) |
| if key!='rgb': |
| mask=np.asarray(im)>0;out=np.zeros((*mask.shape,3),np.uint8);out[:]=(247,248,249) |
| if key=='gt':out[mask]=(20,125,131) |
| else:out[mask>]=(20,125,131);out[mask&~gt]=(182,120,34);out[~mask>]=(174,71,91) |
| im=Image.fromarray(out) |
| path=F/'qualitative'/(e['model']+'_'+e['kind']+'_'+key+'_display.png');im.resize((1920,1920),Image.Resampling.NEAREST).save(path) |
| x=19+j*40;lines.append(r'\node[inner sep=0] at (%s,%s) {\includegraphics[width=30mm]{qualitative/%s}};'%(x,y-17,path.name)) |
| lines.append(r'\draw[rule,line width=.35pt] (%s,%s) rectangle (%s,%s);'%(x-15,y-32,x+15,y-2)) |
| if key in ['frozen','cacp']:lines.append(r'\node[anchor=north,font=\sffamily\fontsize{8}{10}\selectfont] at (%s,%s) {IoU %.3f};'%(x,y-33,e['scores'][key]['iou'])) |
| lines.append(r'\node[anchor=north west,font=\ttfamily\fontsize{8}{10}\selectfont,text=muted] at (2,%s) {%s};'%(y-33,esc(d['id']))) |
| lines.append(r'\node[anchor=west] at (2,-178) {\textcolor{teal}{$\blacksquare$} True positive\qquad\textcolor{ochre}{$\blacksquare$} False positive\qquad\textcolor{rose}{$\blacksquare$} False negative};') |
| lines.append(r'\end{tikzpicture}');write('Fig7_qualitative','\n'.join(lines)) |
|
|
| def main(): |
| synthetic();budget() |
| if (F/'qualitative/qualitative_examples.json').exists():qualitative() |
| if (A/'summary.json').exists(): |
| s=json.loads((A/'summary.json').read_text()) |
| if {'clipseg','groundedsam'}<={r['model'] for r in s}:forest(s);capability(s);tradeoff(s);stress(s) |
| if __name__=='__main__':main() |
|
|
