import inspect import p_tqdm from pathlib import Path from .averaging import weighted_mean logger = logging.getLogger(__name__) @@ -124,9 +125,12 @@ def fnc_(data, flags): else: return fnc(data=data, **kwargs) this_flag = list( p_tqdm.p_map(fnc_, data, flg, unit="files",...
from tqdm import tqdm import gmpy2 class success(Exception): pass def attack_weak_prime(basenum, exp, n): m = basenum^exp k = len(n.str(base=basenum))//(2*exp) + 1 c = gmpy2.iroot(2*k^3, int(2)) # assert c[1] == True tmp = int(c[0]) try: for c in tqdm(...
import torchvision.transforms as transforms from tqdm import tqdm from PIL import Image import pdb import time import glob import copy class Dataset(torch.utils.data.Dataset): def __init__(self, data, labels): self.data = data self.labels = labels def __len__(self): return len(self.data...
transformsfromtorch.utils.dataimportDataLoaderfromtimm.utilsimportModelEmaV3#pip install timmfromtqdmimporttqdm#pip install tqdmimportmatplotlib.pyplotasplt#pip install matplotlibimporttorch.optimasoptimimportnumpyasnpclassSinusoidal
import torchvision.transforms.functional as FT from tqdm import tqdm from torch.utils.data import DataLoader from model import Yolov1 from dataset import VOCDataset from utils import ( non_max_suppression, mean_average_precision, intersection_over_union, ...
import cv2 import argparse import shutil import numpy as np from lxml import etree from tqdm import tqdm A useful function for creating a new directory and recursively deleting the contents of an existing one: def dir_create(path): if (os.path.exists(path)) and (os.listdir(path) != ...
importtorchfromtorchimportnn,optimfromtorchvisionimportdatasets,transformsimporttorch.nn.functionalasFfromtorch.utils.dataimportDataLoaderfromtorchvision.utilsimportsave_imagefrommathimportlog2importnumpyasnpimportosfromtqdmimporttqdmimportmatplotlib.pyplotasplt ...
We will import functional as F from torch.nn, DataLoader from torch.utils.data to create mini-batch sizes, save_image from torchvision.utils to save some fake samples, log2 and sqrt form math, Numpy for linear algebra, os for interaction with the operating system, tqdm to show progress bar...
import sys sys.version 1. 2. 3. 4. 5. 6. print默认打印一行结尾加换行 end=' '意思是末尾不换行,加空格类的初始定义变量可传可不传 def __init__(self,data,left=None) 类传值的两种方法: class Node(): def __init__(self,data,left,right):# 每次调用必须是三个值 ...
rsa_components = (n1, e,int(d1), p, q1) myrsa = RSA.construct(rsa_components) private =open('private.pem','w') private.write(myrsa.exportKey()) private.close() rsakey = RSA.importKey(myrsa.exportKey()) rsakey = PKCS1_OAEP.new(rsakey) ...