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labelme

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提交 c1b1543e 编写于 作者: K Kentaro Wada
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操作

Fix labelme2coco.py to parse with pycocotools 

Keys: id, segmentation
上级 3bec9f61
隐藏空白更改
内联 并排
Showing with 14 addition and 7 deletion
examples/instance_segmentation/data_dataset_coco/annotations.json
浏览文件 @ c1b1543e
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null, "id": 11, "name": "diningtable"}, {"supercategory": null, "id": 12, "name": "dog"}, {"supercategory": null, "id": 13, "name": "horse"}, {"supercategory": null, "id": 14, "name": "motorbike"}, {"supercategory": null, "id": 15, "name": "person"}, {"supercategory": null, "id": 16, "name": "potted plant"}, {"supercategory": null, "id": 17, "name": "sheep"}, {"supercategory": null, "id": 18, "name": "sofa"}, {"supercategory": null, "id": 19, "name": "train"}, {"supercategory": null, "id": 20, "name": "tv/monitor"}]}
\ No newline at end of file
examples/instance_segmentation/labelme2coco.py
浏览文件 @ c1b1543e
#!/usr/bin/env python
import argparse
import collections
import datetime
import glob
import json
......@@ -107,7 +108,8 @@ def main():
id=image_id,
))
masks = {}
masks = {} # for area
segmentations = collections.defaultdict(list) # for segmentation
for shape in label_data['shapes']:
points = shape['points']
label = shape['label']
......@@ -116,22 +118,27 @@ def main():
img.shape[:2], points, shape_type
)
mask = np.asfortranarray(mask.astype(np.uint8))
if label in masks:
masks[label] = masks[label] | mask
else:
masks[label] = mask
points = np.asarray(points).flatten().tolist()
segmentations[label].append(points)
for label, mask in masks.items():
cls_name = label.split('-')[0]
if cls_name not in class_name_to_id:
continue
cls_id = class_name_to_id[cls_name]
segmentation = pycocotools.mask.encode(mask)
segmentation['counts'] = segmentation['counts'].decode()
area = float(pycocotools.mask.area(segmentation))
mask = np.asfortranarray(mask.astype(np.uint8))
mask = pycocotools.mask.encode(mask)
area = float(pycocotools.mask.area(mask))
data['annotations'].append(dict(
segmentation=segmentation,
id=len(data['annotations']),
segmentation=segmentations[label],
area=area,
iscrowd=None,
image_id=image_id,
......
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