| """Reproduce ReLA's 480x480 polygon-transform evaluation targets.""" |
| from pathlib import Path |
| import json,copy |
| import numpy as np |
| from PIL import Image |
| from pycocotools import mask as cm |
| ROOT=Path(__file__).resolve().parents[1];from project_paths import legacy_root;OLD=legacy_root(ROOT) |
| refs=json.loads((OLD/'assets/grefcoco/grefs(unc).json').read_text()) |
| coco=json.loads((OLD/'assets/grefcoco/instances.json').read_text());ims={x['id']:x for x in coco['images']};anns={x['id']:x for x in coco['annotations']} |
| dest=ROOT/'data/natural/masks_official480';dest.mkdir(parents=True,exist_ok=True) |
| n=0 |
| for r in refs: |
| if r['split'] not in ('val','testA','testB'):continue |
| gt=np.zeros((480,480),bool);im=ims[r['image_id']] |
| if not r['no_target']: |
| for aid in r['ann_id']: |
| if anns[aid].get('iscrowd',0):continue |
| seg=anns[aid]['segmentation'];assert isinstance(seg,list),'Official mapper expects polygons' |
| polys=[] |
| for polygon in seg: |
| p=np.asarray(polygon,float).reshape(-1,2);p[:,0]*=480/im['width'];p[:,1]*=480/im['height'];polys.append(p.ravel().tolist()) |
| z=cm.decode(cm.frPyObjects(polys,480,480));gt|=z.any(axis=2) |
| Image.fromarray(gt.astype('uint8')*255).save(dest/f"ref_{r['ref_id']}.png");n+=1 |
| print('OFFICIAL_MASKS_COMPLETE',n,flush=True) |
|
|
