upload dataset file to repo

lisa_data/cocostuff.py

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+import numpy as np
+import json
+import os
+from pycocotools import mask as maskUtils
+from PIL import Image
+from tqdm import tqdm
+import glob
+
+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_cocostuff(base_image_dir):
+    cocostuff_classes = []
+    with open("../cocostuff_classes.txt") as f:
+        for line in f.readlines()[1:]:
+            cocostuff_classes.append(line.strip().split(": ")[-1])
+    cocostuff_classes = np.array(cocostuff_classes)
+    cocostuff_images = []
+
+    cocostuff_labels = glob.glob(
+        os.path.join(base_image_dir, "cocostuff", "train2017", "*.png")
+    )
+    cocostuff_images = [
+        x.replace(".png", ".jpg").replace("cocostuff", "coco") for x in cocostuff_labels
+    ]
+
+    print("cocostuff: ", len(cocostuff_images))
+    return cocostuff_classes, cocostuff_images, cocostuff_labels
+
+base_image_dir = '/mnt/workspace/workgroup/yuanyq/code/LISA/dataset'
+classes, images, labels = init_cocostuff(base_image_dir)
+cocostuff_class2index = {
+    c: i for i, c in enumerate(classes)
+}
+
+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)
+    for c, i in cocostuff_class2index.items():
+        if "-" in c:
+            label[label == i] = 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('cocostuff.json', 'w') as f:
+    f.write(json.dumps(final_data))