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- # copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- import argparse
- import os
- import json
- from .....utils.file_interface import custom_open
- def convert(input_dir):
- """
- Convert json in file into imagenet format.
- """
- label_path = os.path.join(input_dir, "flags.txt")
- label_dict = {}
- label_content = []
- with custom_open(label_path, "r") as f:
- lines = f.readlines()
- for idx, line in enumerate(lines):
- line = line.strip()
- label_dict[line] = str(idx)
- label_content.append(f"{str(idx)} {line}\n")
- with custom_open(os.path.join(input_dir, "label.txt"), "w") as f:
- f.write("".join(label_content))
- anno_path = os.path.join(input_dir, "annotations")
- jsons_path = os.listdir()
- train_list = os.path.join(input_dir, "train.txt")
- val_list = os.path.join(input_dir, "val.txt")
- label_info = []
- for json_file in os.listdir(anno_path):
- with custom_open(os.path.join(anno_path, json_file), "r") as f:
- data = json.load(f)
- file_name = os.path.join("images", data["imagePath"].strip().split("/")[2])
- for label, value in data["flags"].items():
- if value:
- label_info.append(f"{file_name} {label_dict[label]}\n")
- with custom_open(train_list, "w") as file:
- file.write("".join(label_info))
- with custom_open(val_list, "w") as file:
- pass
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