| |
| """Draw trajectory GT animations from already-sanitized numerical values only. |
| |
| No source RGB/NPZ/video/audio is read. Animations are diagrams, not model outputs |
| or actual footage. MP4s contain one newly drawn video stream and no audio. |
| """ |
| import json,math |
| from pathlib import Path |
| from PIL import Image,ImageDraw |
|
|
| ROOT=Path(__file__).resolve().parents[1] |
| COLORS=[(37,112,218),(233,132,28)] |
|
|
|
|
| def frame(row, step): |
| size=512;image=Image.new('RGB',(size,size),(248,250,253));draw=ImageDraw.Draw(image) |
| pad=42;extent=size-2*pad |
| def xy(point):return (pad+point[0]/1000*extent,pad+point[1]/1000*extent) |
| for n in range(6): |
| p=pad+n*extent/5 |
| draw.line((p,pad,p,size-pad),fill=(224,229,237));draw.line((pad,p,size-pad,p),fill=(224,229,237)) |
| draw.text((pad,10),'NUMERIC TRAJECTORY DIAGRAM - NOT RGB FOOTAGE',fill=(25,34,49)) |
| draw.text((pad,size-28),'Observed history / Future GT; blue=left, orange=right',fill=(25,34,49)) |
| for arm in range(2): |
| history=row['history'][arm] |
| future=[[row['anchor'][arm][i]+d[i] for i in range(2)] for d in row['future_delta'][arm]] |
| total=history+future |
| visible=total[:step+1] |
| if len(visible)>1:draw.line([xy(p) for p in visible],fill=COLORS[arm],width=3) |
| for j,p in enumerate(visible): |
| x,y=xy(p);radius=4 if j<8 else 3 |
| if j>=8:draw.rectangle((x-radius,y-radius,x+radius,y+radius),outline=COLORS[arm],width=2) |
| else:draw.ellipse((x-radius,y-radius,x+radius,y+radius),fill=COLORS[arm]) |
| x,y=xy(visible[-1]);draw.ellipse((x-6,y-6,x+6,y+6),outline=COLORS[arm],width=2) |
| return image |
|
|
|
|
| def main(): |
| import cv2,numpy as np |
| cv2.setNumThreads(1) |
| selected={} |
| for split in ('train','heldout'): |
| with (ROOT/'data'/(split+'.jsonl')).open() as f: |
| for line in f: |
| row=json.loads(line);selected.setdefault(row['task'],row) |
| out=ROOT/'previews';out.mkdir(exist_ok=True);records=[] |
| for i,(task,row) in enumerate(sorted(selected.items()),1): |
| name=f'preview_{i:02d}' |
| images=[frame(row,j) for j in range(16)] |
| images[0].save(out/(name+'.gif'),save_all=True,append_images=images[1:],duration=180,loop=0,disposal=2) |
| mp4=out/(name+'.mp4');writer=cv2.VideoWriter(str(mp4),cv2.VideoWriter_fourcc(*'mp4v'),6.0,(512,512)) |
| if not writer.isOpened():raise RuntimeError('CPU MP4 encoder unavailable') |
| for image in images:writer.write(cv2.cvtColor(np.asarray(image),cv2.COLOR_RGB2BGR)) |
| writer.release() |
| reader=cv2.VideoCapture(str(mp4)) |
| if not reader.isOpened() or int(reader.get(cv2.CAP_PROP_FRAME_COUNT))!=16:raise ValueError('Preview validation failed') |
| reader.release() |
| records.append({'gif':name+'.gif','video':name+'.mp4','sample_id':row['sample_id'],'task':task,'frames':16,'source_pixels_used':False,'audio_used':False,'model_prediction':False}) |
| (out/'manifest.json').write_text(json.dumps(records,indent=2)+'\n') |
| print('Rendered',len(records),'GT-only diagram GIFs/MP4s; no raw source footage/audio.') |
|
|
|
|
| if __name__=='__main__':main() |
|
|
