from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(
voc07_path=
'/content/a-PyTorch-Tutorial-to-Object-Detection-master/data/VOCdevkit/VOC2007',
voc12_path=
'/content/a-PyTorch-Tutorial-to-Object-Detection-master/data/VOCdevkit/VOC2012',
output_folder=
'/content/a-PyTorch-Tutorial-to-Object-Detection-master/output')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='../data/VOC2007',
voc12_path='../data/VOC2012',
output_folder='./')
import torch
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='C:/VOC/VOCdevkit/VOC2007',
output_folder='C:/VOC/VOCdevkit/VOC2007/data_lists')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(
ICDAR_path='../ICDAR_Dataset/0325updated.task1train(626p)',
output_folder='../ICDAR_Dataset/0325updated.task1train(626p)')
from utils import create_data_lists
import argparse
if __name__ == '__main__':
# create_data_lists(voc07test_path = './data/test/VOC2007',
# voc07trainval_path = './data/trainval/VOC2007',
# voc12trainval_path = './data/trainval/VOC2012',
# output_folder='./')
parser = argparse.ArgumentParser(description = 'evaluate arguments')
parser.add_argument('-te2007', '--test2007', help='voc 2007 test')
parser.add_argument('-tr2007', '--train2007', help='voc 2007 train')
parser.add_argument('-tr2012', '--train2012', help='voc 2012 train')
parser.add_argument('-of', '--outputfolder', help= 'folder to store data')
args = parser.parse_args()
create_data_lists(voc07test_path = args.test2007, voc07trainval_path = args.train2007,
voc12trainval_path = args.train2012, output_folder = args.outputfolder)
def main():
create_data_lists(data_path='./data', output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='/media/ssd/ssd data/VOC2007',
voc12_path='/media/ssd/ssd data/VOC2012',
output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path="D:\Datasets\VOCdevkit\\VOC2007",
voc12_path="D:\Datasets\VOCdevkit\\VOC2012",
output_folder="D:\Datasets\VOCdevkit")
:return: a tensor of images, lists of varying-size tensors of bounding boxes, labels, and difficulties
"""
images = list()
boxes = list()
labels = list()
difficulties = list()
for b in batch:
images.append(b[0])
boxes.append(b[1])
labels.append(b[2])
difficulties.append(b[3])
images = torch.stack(images, dim=0)
return images, boxes, labels, difficulties # tensor (N, 3, 300, 300), 3 lists of N tensors each
if __name__ == "__main__":
root_path = "/Users/laurenssamson/Documents/Projects/Chess_notation/chess/data/chess_data"
chess_dataset = ChessDataset(root_path)
data_folder = create_data_lists(False)
pascal_dataset = PascalVOCDataset(data_folder,
split='train',
keep_difficult=False)
for i in chess_dataset:
i
# print("PASCAL")
# print(pascal_dataset.objects)
# print("CHESS")
# print(chess_dataset.objects)
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='/hdd/data/LeafDetectData/LEAF2019',
output_folder='./')
from utils import create_data_lists
import os
if __name__ == '__main__':
voc07 = os.path.abspath('./VOCdevkit/VOC2007')
voc12 = os.path.abspath('./VOCdevkit/VOC2012')
create_data_lists(voc07_path=voc07, voc12_path=voc12, output_folder='./')
from utils import create_data_lists
from definitions import ROOT_DIR
if __name__ == '__main__':
create_data_lists(voc07_path=ROOT_DIR/'data/VOC2007',
voc12_path=ROOT_DIR/'data/VOC2012',
output_folder=ROOT_DIR/'output')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='/vinai/vuonghn/Research/CV_courses/a-PyTorch-Tutorial-to-Object-Detection/VOCdevkit/VOC2007/',
voc12_path='/vinai/vuonghn/Research/CV_courses/a-PyTorch-Tutorial-to-Object-Detection/VOCdevkit/VOC2012/',
output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc12_path='datacv', output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(train_folders=[
'/media/ssd/sr data/train2014', '/media/ssd/sr data/val2014'
],
test_folders=[
'/media/ssd/sr data/BSDS100',
'/media/ssd/sr data/Set5', '/media/ssd/sr data/Set14'
],
min_size=100,
output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='data/VOC2007', output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(
voc07_path=
'/opt/share1002/private/shuaiyue/haozhihang/WS/samples/sample_z_6/train',
output_folder='./json')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='../../../dataset/VOCdevkit/VOC2007',
voc12_path='../../../dataset/VOCdevkit/VOC2012',
output_folder='../../../dataset/VOCdevkit')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(
voc07_path='/mnt2/datasets/VOCdevkit/VOC2007', # specify your data root
voc12_path='/mnt2/datasets/VOCdevkit/VOC2012',
output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(path='./data', output_folder='./data')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(CUB_200_2011_path='CUB_200_2011', output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(
voc07_path=
'D:/Backup/Курс Нетология/Глубокое обучение/9 CV/dll_hw_9_CV1/SSD_for_BCCD/BCCD',
output_folder=
'D:/Backup/Курс Нетология/Глубокое обучение/9 CV/dll_hw_9_CV1/SSD_for_BCCD/Out'
)
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(path='..\\DATASET',
output_folder='..\\RESOURCES')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(data='Conversion/Root/Data',
output_folder='Conversion/Root/Data/Output')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(train_path='../../dataset/voc2012/train.txt',
valid_path='../../dataset/voc2012/valid.txt',
output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='/Users/akash/Videos/DL_SSD/VOCdevkit/VOC2007',
voc12_path='/Users/akash/Videos/DL_SSD/VOCdevkit/VOC2012',
output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc_path='data', output_folder='./')
# create_data_lists.py - creates and saves JSON files from downloaded data
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='../datasets/voc/VOCdevkit/VOC2007',
voc12_path='../datasets/voc/VOCdevkit/VOC2012',
output_folder='../saved_lists')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='./VOCdevkit/VOC2007/',
voc12_path='./VOCdevkit/VOC2012/',
output_folder='./')
from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(voc07_path='/disk2/taekwang/VOC/VOC2007',
voc12_path='/disk2/taekwang/VOC/VOC2012',
output_folder='/disk2/taekwang/VOC/')
