importsysimportstructimportnumpyimportargparseimportmatplotlib.pyplotaspltfromCrypto.Util.numberimportlong_to_bytesfromp_ilimportImagefromcryptimportAESCipher# Decompose a binary file into an array of bitsdefdecompose(data): v = []# Pack file len in 4 bytesfSize =len(data) bs =b''size_byte = ...
import soundfile as sf import numpy as np audio1, sr1 = librosa.load('2.wav', sr=None) audio2, sr2 = librosa.load('3.wav', sr=None) result = 2*audio1-audio2 sf.write('result.wav', result, sr1) 或者脚本:
Method/Function:sndwrite 导入包:sndfileio 每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。 示例1 defsndwrite(samples,samplerate,outfile,split_suffixes=None):""" Write samples to one or more audiofiles files :param samples: a numpy array of samples, possibly multichannel :pa...
AI代码解释 fromPILimportImageimportnumpyasnp from Crypto.Utilimportnumberimportmatplotlib.pyplotaspltimportimageio p1=Image.open('flag.png').convert('RGB')p1_data=np.array(p1)blue_data=[]a,b=p1_data.shape[0],p1_data.shape[1]foryinrange(a):forxinrange(b):ifp1_data[y][...
代码语言:javascript 代码运行次数:0 运行 AI代码解释 fromPILimportImage,ImageEnhance,ImageFilterimportioimportnumpyasnpimportstructimportos # 图片切割 defsegment(im):wid=28up=0down=128im_new=[]foriinrange(23):forjinrange(32):im1=im.crop(...
`video.bin` 是个截断了的 `count x height x width x 3` 的NumPy array。只要猜对 `width` 就能打出来人眼能辨认的图像了。直接枚举合理的 `width` 范围,输出图片,肉眼识别图像是否正确恢复就行。生成图片的代码如下: 10 + 11 + ```python 12 + import numpy as np 13 + import cv2 1...
importnumpyasnp # import scipy importmatplotlib.pyplotasplt SIZE=627 MSBLOCK=23 QRBLOCK=11 X,Y=103,137 defImageToMatrix(filename): # 读取图片 im=Image.open(filename) # 显示图片 # im.show() width,height=im.size im=im.convert("L") ...
public $filename; public function __toString() { echo "tostring"; if (Check::$str2) { if(!$this->data){ $this->data = $_REQUEST['data']; } file_put_contents($this->filename, $this->data); } else { throw new Error("Error"); ...
from pydub import AudioSegmentimport numpy as np # 读取音频文件audio = AudioSegment.from_file("out.wav", format="wav") # 将音频数据转换为numpy数组audio_data = np.array(audio.get_array_of_samples()) # 解密隐藏的Flagbinary_flag = ""for i in range(0, len(audio_data), 2): # 获取当前...