/
colab-warmup.py
38 lines (32 loc) · 1005 Bytes
/
colab-warmup.py
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###libs
import os
import argparse
import torch
from torch.utils.data import DataLoader
###files
from config import Config as cfg
from dataProcessing import VOC_dataset as dataset
from models.network import NetAPI
from trainer import Trainer
import warnings
from config import cal_anchors
from tqdm import tqdm
warnings.filterwarnings('ignore')
def main(args,cfgs):
#get data config
for k in cfgs:
curset = dataset(cfgs[k],mode='test')
loader = DataLoader(curset,batch_size=args.bs,shuffle=True,pin_memory=False,collate_fn=curset.collate_fn)
for data in tqdm(loader):
pass
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--bs",type=int,default=16,help="batchsize")
args = parser.parse_args()
cfgs = {}
#Generate config for different dataset
cfgs['train'] = cfg()
cfgs['trainval'] = cfg('trainval')
cfgs['val'] = cfg('val')
cfgs['test'] = cfg('test')
main(args,cfgs)