upload dataset file to repo

lisa_data/check_mask.py

@@ -0,0 +1,31 @@
+from pycocotools import mask as maskUtils
+import json
+from tqdm import tqdm
+def annToMask(mask_ann, h=None, w=None):
+    if isinstance(mask_ann, list):
+        rles = maskUtils.frPyObjects(mask_ann, h, w)
+        rle = maskUtils.merge(rles)
+    elif isinstance(mask_ann['counts'], list):
+        # uncompressed RLE
+        rle = maskUtils.frPyObjects(mask_ann, h, w)
+    else:
+        # rle
+        rle = mask_ann
+    mask = maskUtils.decode(rle)
+    return mask
+
+data = json.load(open('/mnt/workspace/workgroup/yuanyq/code/LISA/utils/new_format/refcocog_seg.json'))
+
+for i in tqdm(range(len(data)//10)):
+    try:
+        d = data[i*10]
+        h = None
+        w = None
+        for msk in d['masks']:
+            if 'height' in d:
+                h = d['height']
+                w = d['width']
+            mask = annToMask(msk, h, w)
+    except:
+        import pdb 
+        pdb.set_trace()