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#!/usr/bin/env python
from __future__ import print_function
import argparse
import glob
import os
import os.path as osp
import sys
import imgviz
import numpy as np
import labelme
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter
)
parser.add_argument("input_dir", help="Input annotated directory")
parser.add_argument("output_dir", help="Output dataset directory")
parser.add_argument(
"--labels", help="Labels file or comma separated text", required=True
)
parser.add_argument(
"--noobject", help="Flag not to generate object label", action="store_true"
)
parser.add_argument(
"--nonpy", help="Flag not to generate .npy files", action="store_true"
)
parser.add_argument(
"--noviz", help="Flag to disable visualization", action="store_true"
)
args = parser.parse_args()
if osp.exists(args.output_dir):
print("Output directory already exists:", args.output_dir)
sys.exit(1)
os.makedirs(args.output_dir)
os.makedirs(osp.join(args.output_dir, "JPEGImages"))
os.makedirs(osp.join(args.output_dir, "SegmentationClass"))
if not args.nonpy:
os.makedirs(osp.join(args.output_dir, "SegmentationClassNpy"))
if not args.noviz:
os.makedirs(osp.join(args.output_dir, "SegmentationClassVisualization"))
if not args.noobject:
os.makedirs(osp.join(args.output_dir, "SegmentationObject"))
if not args.nonpy:
os.makedirs(osp.join(args.output_dir, "SegmentationObjectNpy"))
if not args.noviz:
os.makedirs(osp.join(args.output_dir, "SegmentationObjectVisualization"))
print("Creating dataset:", args.output_dir)
if osp.exists(args.labels):
with open(args.labels) as f:
labels = [label.strip() for label in f if label]
else:
labels = [label.strip() for label in args.labels.split(",")]
class_names = []
class_name_to_id = {}
for i, label in enumerate(labels):
class_id = i - 1 # starts with -1
class_name = label.strip()
class_name_to_id[class_name] = class_id
if class_id == -1:
assert class_name == "__ignore__"
continue
elif class_id == 0:
assert class_name == "_background_"
class_names.append(class_name)
class_names = tuple(class_names)
print("class_names:", class_names)
out_class_names_file = osp.join(args.output_dir, "class_names.txt")
with open(out_class_names_file, "w") as f:
f.writelines("\n".join(class_names))
print("Saved class_names:", out_class_names_file)
for filename in sorted(glob.glob(osp.join(args.input_dir, "*.json"))):
print("Generating dataset from:", filename)
label_file = labelme.LabelFile(filename=filename)
base = osp.splitext(osp.basename(filename))[0]
out_img_file = osp.join(args.output_dir, "JPEGImages", base + ".jpg")
out_clsp_file = osp.join(args.output_dir, "SegmentationClass", base + ".png")
if not args.nonpy:
out_cls_file = osp.join(
args.output_dir, "SegmentationClassNpy", base + ".npy"
)
if not args.noviz:
out_clsv_file = osp.join(
args.output_dir,
"SegmentationClassVisualization",
base + ".jpg",
)
if not args.noobject:
out_insp_file = osp.join(
args.output_dir, "SegmentationObject", base + ".png"
)
if not args.nonpy:
out_ins_file = osp.join(
args.output_dir, "SegmentationObjectNpy", base + ".npy"
)
if not args.noviz:
out_insv_file = osp.join(
args.output_dir,
"SegmentationObjectVisualization",
base + ".jpg",
)
img = labelme.utils.img_data_to_arr(label_file.imageData)
imgviz.io.imsave(out_img_file, img)
cls, ins = labelme.utils.shapes_to_label(
img_shape=img.shape,
shapes=label_file.shapes,
label_name_to_value=class_name_to_id,
)
ins[cls == -1] = 0 # ignore it.
# class label
labelme.utils.lblsave(out_clsp_file, cls)
if not args.nonpy:
np.save(out_cls_file, cls)
if not args.noviz:
clsv = imgviz.label2rgb(
cls,
imgviz.rgb2gray(img),
label_names=class_names,
font_size=15,
loc="rb",
)
imgviz.io.imsave(out_clsv_file, clsv)
if not args.noobject:
# instance label
labelme.utils.lblsave(out_insp_file, ins)
if not args.nonpy:
np.save(out_ins_file, ins)
if not args.noviz:
instance_ids = np.unique(ins)
instance_names = [str(i) for i in range(max(instance_ids) + 1)]
insv = imgviz.label2rgb(
ins,
imgviz.rgb2gray(img),
label_names=instance_names,
font_size=15,
loc="rb",
)
imgviz.io.imsave(out_insv_file, insv)
if __name__ == "__main__":
main()
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