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example.py
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example.py
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# -*-coding:utf-8-*-
import os
from xml.etree.ElementTree import dump
import json
import pprint
import argparse
from Format import VOC, COCO, UDACITY, KITTI, YOLO
parser = argparse.ArgumentParser(description='label Converting example.')
parser.add_argument('--datasets', type=str, help='type of datasets')
parser.add_argument('--img_path', type=str, help='directory of image folder')
parser.add_argument('--label', type=str,
help='directory of label folder or label file path')
parser.add_argument('--convert_output_path', type=str,
help='directory of label folder')
parser.add_argument('--img_type', type=str, help='type of image')
parser.add_argument('--manifest_path', type=str,
help='directory of manipast file', default="./")
parser.add_argument('--cls_list_file', type=str,
help='directory of *.names file', default="./")
args = parser.parse_args()
def main(config):
if config["datasets"] == "VOC":
voc = VOC()
yolo = YOLO(os.path.abspath(config["cls_list"]))
flag, data = voc.parse(config["label"])
if flag == True:
flag, data = yolo.generate(data)
if flag == True:
flag, data = yolo.save(data, config["output_path"], config["img_path"],
config["img_type"], config["manifest_path"])
if flag == False:
print("Saving Result : {}, msg : {}".format(flag, data))
else:
print("YOLO Generating Result : {}, msg : {}".format(flag, data))
else:
print("VOC Parsing Result : {}, msg : {}".format(flag, data))
elif config["datasets"] == "COCO":
coco = COCO()
flag, data, cls_hierarchy = coco.parse(
config["label"], config["img_path"])
yolo = YOLO(os.path.abspath(
config["cls_list"]), cls_hierarchy=cls_hierarchy)
if flag == True:
flag, data = yolo.generate(data)
if flag == True:
flag, data = yolo.save(data, config["output_path"], config["img_path"],
config["img_type"], config["manifest_path"])
if flag == False:
print("Saving Result : {}, msg : {}".format(flag, data))
else:
print("YOLO Generating Result : {}, msg : {}".format(flag, data))
else:
print("COCO Parsing Result : {}, msg : {}".format(flag, data))
elif config["datasets"] == "UDACITY":
udacity = UDACITY()
yolo = YOLO(os.path.abspath(config["cls_list"]))
flag, data = udacity.parse(config["label"])
if flag == True:
flag, data = yolo.generate(data)
if flag == True:
flag, data = yolo.save(data, config["output_path"], config["img_path"],
config["img_type"], config["manifest_path"])
if flag == False:
print("Saving Result : {}, msg : {}".format(flag, data))
else:
print("UDACITY Generating Result : {}, msg : {}".format(flag, data))
else:
print("COCO Parsing Result : {}, msg : {}".format(flag, data))
elif config["datasets"] == "KITTI":
kitti = KITTI()
yolo = YOLO(os.path.abspath(config["cls_list"]))
flag, data = kitti.parse(
config["label"], config["img_path"], img_type=config["img_type"])
if flag == True:
flag, data = yolo.generate(data)
if flag == True:
flag, data = yolo.save(data, config["output_path"], config["img_path"],
config["img_type"], config["manifest_path"])
if flag == False:
print("Saving Result : {}, msg : {}".format(flag, data))
else:
print("YOLO Generating Result : {}, msg : {}".format(flag, data))
else:
print("KITTI Parsing Result : {}, msg : {}".format(flag, data))
else:
print("Unkwon Datasets")
if __name__ == '__main__':
config = {
"datasets": args.datasets,
"img_path": args.img_path,
"label": args.label,
"img_type": args.img_type,
"manifest_path": args.manifest_path,
"output_path": args.convert_output_path,
"cls_list": args.cls_list_file,
}
main(config)