import os
import argparse
parser = argparse.ArgumentParser(description='flags for detect video')
parser.add_argument('-dataset_path', '--dataset_path', type=str, required=True)
args = parser.parse_args()


def generate_txt(path, output):
    with open(output, 'w') as output:
        for filename in os.listdir(path):
            if not filename.endswith('.jpg'):
                continue
            res = os.path.join(path, filename)
            with open(os.path.join(path, filename[:-4] + 'org.txt')) as txt:
                bboxs = txt.readlines()
                for bbox in bboxs:
                    bbox = bbox[:-1]
                    bbox = bbox.split(' ')
                    bbox = list([int(i) for i in bbox])
                    x, y, w, h = bbox[3:]
                    bbox[0] = 0
                    res = res + ' ' + str(x) + ',' + str(y) + ',' + str(x + w
                        ) + ',' + str(y + h) + ',' + str(bbox[0])
            output.write(res + '\n')


if __name__ == '__main__':
    dataset_path = 'dataset'
    train_path = os.path.join(args.dataset_path, 'train')
    train_txt = os.path.join('data', 'dataset', 'train_of.txt')
    generate_txt(train_path, train_txt)
    train_path = os.path.join(args.dataset_path, 'val')
    train_txt = os.path.join('data', 'dataset', 'val_of.txt')
    generate_txt(train_path, train_txt)

815c796245b135bb24e04e09d3ab54ad65b5f604
<mask token>


def generate_txt(path, output):
    with open(output, 'w') as output:
        for filename in os.listdir(path):
            if not filename.endswith('.jpg'):
                continue
            res = os.path.join(path, filename)
            with open(os.path.join(path, filename[:-4] + 'org.txt')) as txt:
                bboxs = txt.readlines()
                for bbox in bboxs:
                    bbox = bbox[:-1]
                    bbox = bbox.split(' ')
                    bbox = list([int(i) for i in bbox])
                    x, y, w, h = bbox[3:]
                    bbox[0] = 0
                    res = res + ' ' + str(x) + ',' + str(y) + ',' + str(x + w
                        ) + ',' + str(y + h) + ',' + str(bbox[0])
            output.write(res + '\n')


<mask token>

<mask token>
parser.add_argument('-dataset_path', '--dataset_path', type=str, required=True)
<mask token>


def generate_txt(path, output):
    with open(output, 'w') as output:
        for filename in os.listdir(path):
            if not filename.endswith('.jpg'):
                continue
            res = os.path.join(path, filename)
            with open(os.path.join(path, filename[:-4] + 'org.txt')) as txt:
                bboxs = txt.readlines()
                for bbox in bboxs:
                    bbox = bbox[:-1]
                    bbox = bbox.split(' ')
                    bbox = list([int(i) for i in bbox])
                    x, y, w, h = bbox[3:]
                    bbox[0] = 0
                    res = res + ' ' + str(x) + ',' + str(y) + ',' + str(x + w
                        ) + ',' + str(y + h) + ',' + str(bbox[0])
            output.write(res + '\n')


if __name__ == '__main__':
    dataset_path = 'dataset'
    train_path = os.path.join(args.dataset_path, 'train')
    train_txt = os.path.join('data', 'dataset', 'train_of.txt')
    generate_txt(train_path, train_txt)
    train_path = os.path.join(args.dataset_path, 'val')
    train_txt = os.path.join('data', 'dataset', 'val_of.txt')
    generate_txt(train_path, train_txt)

<mask token>
parser = argparse.ArgumentParser(description='flags for detect video')
parser.add_argument('-dataset_path', '--dataset_path', type=str, required=True)
args = parser.parse_args()


def generate_txt(path, output):
    with open(output, 'w') as output:
        for filename in os.listdir(path):
            if not filename.endswith('.jpg'):
                continue
            res = os.path.join(path, filename)
            with open(os.path.join(path, filename[:-4] + 'org.txt')) as txt:
                bboxs = txt.readlines()
                for bbox in bboxs:
                    bbox = bbox[:-1]
                    bbox = bbox.split(' ')
                    bbox = list([int(i) for i in bbox])
                    x, y, w, h = bbox[3:]
                    bbox[0] = 0
                    res = res + ' ' + str(x) + ',' + str(y) + ',' + str(x + w
                        ) + ',' + str(y + h) + ',' + str(bbox[0])
            output.write(res + '\n')


if __name__ == '__main__':
    dataset_path = 'dataset'
    train_path = os.path.join(args.dataset_path, 'train')
    train_txt = os.path.join('data', 'dataset', 'train_of.txt')
    generate_txt(train_path, train_txt)
    train_path = os.path.join(args.dataset_path, 'val')
    train_txt = os.path.join('data', 'dataset', 'val_of.txt')
    generate_txt(train_path, train_txt)

import os
import argparse
parser = argparse.ArgumentParser(description='flags for detect video')
parser.add_argument('-dataset_path', '--dataset_path', type=str, required=True)
args = parser.parse_args()


def generate_txt(path, output):
    with open(output, 'w') as output:
        for filename in os.listdir(path):
            if not filename.endswith('.jpg'):
                continue
            res = os.path.join(path, filename)
            with open(os.path.join(path, filename[:-4] + 'org.txt')) as txt:
                bboxs = txt.readlines()
                for bbox in bboxs:
                    bbox = bbox[:-1]
                    bbox = bbox.split(' ')
                    bbox = list([int(i) for i in bbox])
                    x, y, w, h = bbox[3:]
                    bbox[0] = 0
                    res = res + ' ' + str(x) + ',' + str(y) + ',' + str(x + w
                        ) + ',' + str(y + h) + ',' + str(bbox[0])
            output.write(res + '\n')


if __name__ == '__main__':
    dataset_path = 'dataset'
    train_path = os.path.join(args.dataset_path, 'train')
    train_txt = os.path.join('data', 'dataset', 'train_of.txt')
    generate_txt(train_path, train_txt)
    train_path = os.path.join(args.dataset_path, 'val')
    train_txt = os.path.join('data', 'dataset', 'val_of.txt')
    generate_txt(train_path, train_txt)
