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/')