146 lines
5.4 KiB
Python
146 lines
5.4 KiB
Python
import base64,hashlib,os,shutil
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import numpy as np
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from PIL import Image
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class imageUtils:
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@classmethod
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def encodeImage(cls,enStr):
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print("en",enStr)
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enc = base64.b64decode(enStr)
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print("解密：",enc)
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m = hashlib.md5()
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m.update(enc)
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md5 = m.digest()
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d = md5[-1]
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print(md5)
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try:
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blocks = d % 10 + 5
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except:
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blocks = 0 %10 + 5
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print("blocks=",blocks)
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return blocks
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@classmethod
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def scrambleImage(cls,file_path):
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#检测到未下载完的图像 直接返回None
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if str(file_path).endswith(".downloads"):
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os.remove(file_path)
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return None
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file_str = str(file_path).split("=")
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#10_29.jpg
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baseDir = file_str[0].replace("scramble","")
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baseName = file_str[-1]
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baseFN = baseName.split("_")
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save_name = baseFN[1]
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save_name_delesu = save_name.split(".")[0]
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blocks = int(baseFN[0])
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save_file_path = os.path.join(baseDir,save_name)
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print("sva",save_file_path)
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if os.path.exists(save_file_path):
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print("图片已解密，已跳过:", save_file_path)
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return None
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image_su = str(file_path).split(".")[-1]
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try:
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img = Image.open(file_path)
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except:
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print(f"error Image")
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width = img.width
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height = img.height
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#blocks = cls.encodeImage(enStr)
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print("blocks=",blocks)
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blockHeight = int(height / blocks)
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blockWidth = int(width / blocks)
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print("blockHeight=",blockHeight)
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su = str(file_path).split(".")[-1]
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split_path = os.path.join(baseDir,save_name_delesu+"split")
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if image_su == "downloads":
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return None
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is_split = cls.splitimage(file_path,blocks,1,split_path)
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if not is_split == None:
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cls.image_compose(split_path,blocks,1,save_file_path,blockHeight,width)
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else:
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if os.path.exists(split_path):
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shutil.rmtree(split_path)
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if os.path.exists(file_path):
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shutil.move(file_path, save_file_path)
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#完成后清空
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return file_path
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@classmethod
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def splitimage(cls,src,rownum,colnum,dstpath):
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img=Image.open(src)
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w,h=img.size
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if rownum<= h and colnum<=w:
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s=os.path.split(src)
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if dstpath=='':
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dstpath = s[0]
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if not os.path.exists(dstpath):
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os.makedirs(dstpath)
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fn=s[1].split('.')
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basename=fn[0]
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ext=fn[-1]
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num=0
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rowheight=h//rownum
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colwidth=w//colnum
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for r in range(rownum):
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for c in range(colnum):
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box=(c*colwidth,r*rowheight,(c+1)*colwidth,(r+1)*rowheight)
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count_image = "{:0>3d}".format(num)
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file_path = os.path.join(dstpath,str(count_image)+'.'+ext)
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print("file_path=",file_path)
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img.crop(box).save(file_path)
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num=num+1
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return "成功"
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else:
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print('不数！')
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return None
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@classmethod
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def image_compose(cls,src,row,column,save_path,image_height,image_width):
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image_size = image_height
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#image_height = 376
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#image_width = 720
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images_format = ['.png','.jpg']
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#image_names = [name for name in os.listdir(src) for item in images_format if
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# os.path.splitext(name)[1] == item][::-1]
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img_list=os.listdir(src)
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img_list.sort()
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img_list.sort(key=lambda x: int(x[:-4]))
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##文件名按数字排序
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img_nums=len(img_list)
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image_names = []
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for i in range(img_nums):
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img_name=os.path.join(src,img_list[i])
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image_names.append(img_name)
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#使用倒序
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image_names = image_names[::-1]
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# 简单的对于参数的设定和实际图片集的大小进行数量判断
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if len(image_names) < row * column:
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raise ValueError("合成图片的参数和要求的数量不能匹配！")
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to_image = Image.new('RGB', (column * image_width, row * image_height)) #创建一个新图
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# 循环遍历，把每张图片按顺序粘贴到对应位置上
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for y in range(1, row + 1):
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for x in range(1, column + 1):
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#1 * (row=1 -1) col=1 -1
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image_path = image_names[column * (y - 1) + x - 1]
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print("split_image=",image_path)
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from_image = Image.open(image_path)
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#保持原图片大小
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#.resize(
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# (image_size, image_size),Image.ANTIALIAS)
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to_image.paste(from_image, ((x - 1) * image_size, (y - 1) * image_size))
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from_image.close()
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to_image.save(save_path)
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print("图片合并完成：", save_path)
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shutil.rmtree(src)
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# 保存新图
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@classmethod
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def getScrambleImage(cls,path):
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scrambleFileCache = cls.scrambleImage(path)
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if not scrambleFileCache == None:
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if os.path.exists(scrambleFileCache):
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os.remove(scrambleFileCache) |