RE-OWOD/datasets/coco_utils/create_t4_imageset.py

64 lines
2.2 KiB
Python

from pycocotools.coco import COCO
import numpy as np
T4_CLASS_NAMES = [
"bed", "toilet", "laptop", "mouse",
"remote", "keyboard", "cell phone", "book", "clock",
"vase", "scissors", "teddy bear", "hair drier", "toothbrush",
"wine glass", "cup", "fork", "knife", "spoon", "bowl"
]
# Train
coco_annotation_file = '/home/joseph/workspace/datasets/mscoco/annotations/instances_train2017.json'
dest_file = '/home/joseph/workspace/OWOD/datasets/coco17_voc_style/ImageSets/t4_train.txt'
coco_instance = COCO(coco_annotation_file)
image_ids = []
cls = []
for index, image_id in enumerate(coco_instance.imgToAnns):
image_details = coco_instance.imgs[image_id]
classes = [coco_instance.cats[annotation['category_id']]['name'] for annotation in coco_instance.imgToAnns[image_id]]
if not set(classes).isdisjoint(T4_CLASS_NAMES):
image_ids.append(image_details['file_name'].split('.')[0])
cls.extend(classes)
(unique, counts) = np.unique(cls, return_counts=True)
print({x:y for x,y in zip(unique, counts)})
with open(dest_file, 'w') as file:
for image_id in image_ids:
file.write(str(image_id)+'\n')
print('Created train file')
# Test
coco_annotation_file = '/home/joseph/workspace/datasets/mscoco/annotations/instances_val2017.json'
dest_file = '/home/joseph/workspace/OWOD/datasets/coco17_voc_style/ImageSets/t4_test.txt'
coco_instance = COCO(coco_annotation_file)
image_ids = []
cls = []
for index, image_id in enumerate(coco_instance.imgToAnns):
image_details = coco_instance.imgs[image_id]
classes = [coco_instance.cats[annotation['category_id']]['name'] for annotation in coco_instance.imgToAnns[image_id]]
if not set(classes).isdisjoint(T4_CLASS_NAMES):
image_ids.append(image_details['file_name'].split('.')[0])
cls.extend(classes)
(unique, counts) = np.unique(cls, return_counts=True)
print({x:y for x,y in zip(unique, counts)})
with open(dest_file, 'w') as file:
for image_id in image_ids:
file.write(str(image_id)+'\n')
print('Created test file')
dest_file = '/home/joseph/workspace/OWOD/datasets/coco17_voc_style/ImageSets/t4_test_unk.txt'
with open(dest_file, 'w') as file:
for image_id in image_ids:
file.write(str(image_id)+'\n')
print('Created test_unk file')