File size: 2,298 Bytes
5b5f2d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | import numpy as np
import json
import os
from pycocotools import mask as maskUtils
from PIL import Image
from tqdm import tqdm
def singleMask2rle(mask):
rle = maskUtils.encode(np.array(mask[:, :, None], order='F', dtype="uint8"))[0]
rle["counts"] = rle["counts"].decode("utf-8")
return rle
def init_ade20k(base_image_dir):
with open("../ade20k_classes.json", "r") as f:
ade20k_classes = json.load(f)
ade20k_classes = np.array(ade20k_classes)
image_ids = sorted(
os.listdir(os.path.join(base_image_dir, "ade20k/images", "training"))
)
ade20k_image_ids = []
for x in image_ids:
if x.endswith(".jpg"):
ade20k_image_ids.append(x[:-4])
ade20k_images = []
for image_id in ade20k_image_ids: # self.descriptions:
ade20k_images.append(
os.path.join(
base_image_dir,
"ade20k",
"images",
"training",
"{}.jpg".format(image_id),
)
)
ade20k_labels = [
x.replace(".jpg", ".png").replace("images", "annotations")
for x in ade20k_images
]
print("ade20k: ", len(ade20k_images))
return ade20k_classes, ade20k_images, ade20k_labels
base_image_dir = '/mnt/workspace/workgroup/yuanyq/code/LISA/dataset'
classes, images, labels = init_ade20k(base_image_dir)
final_data = []
for idx in tqdm(range(len(images))):
dic = {}
image_path = images[idx]
label_path = labels[idx]
label = Image.open(label_path)
label = np.array(label)
label[label == 0] = 255
label -= 1
label[label == 254] = 255
unique_label = np.unique(label).tolist()
if 255 in unique_label:
unique_label.remove(255)
if len(unique_label) == 0:
continue
cats = []
for class_id in unique_label:
cats.append(classes[class_id])
masks = []
for class_id in unique_label:
msk = label==class_id
rle = singleMask2rle(msk)
masks.append(rle)
dic['image'] = image_path.replace('/mnt/workspace/workgroup/yuanyq/code/LISA/dataset/', '')
dic['cat'] = cats
dic['masks'] = masks
final_data.append(dic)
print(len(final_data))
with open('ade20k.json', 'w') as f:
f.write(json.dumps(final_data)) |