ValueError：无法将大小为 49897 的数组重塑为形状 (500,700,3)

如何解决ValueError：无法将大小为 49897 的数组重塑为形状 (500,700,3)

大家好，我正在实施 lzw 压缩算法。 图片压缩算法：

使用的库

import re
import numpy as np
from PIL import Image
import sys
from sys import argv
from struct import *
import pickle
from cv2 import cv2

压缩

def lzwCompression (image,path):
    img = cv2.imread(image)
    shape = img.shape
    flat = img.reshape(-1)
       
    #Costruzione del Dizionario
    lenDictionary = 256
    dictionary = {chr(i): i for i in range(lenDictionary)}
    
    for i in range(256):
        dictionary[chr(i)] = i 

    compressed = list()
    stringSaved = chr(flat[0])
    print ("string symbl",stringSaved )
    for i in range(1,len(flat)):
        string_symbol = chr (flat[i])
        sc =  stringSaved + string_symbol
        if sc in dictionary.keys() :
            stringSaved = string_symbol
        else:
            compressed.append(dictionary[stringSaved])
            dictionary[sc] = lenDictionary
            lenDictionary = lenDictionary + 1

    if stringSaved:
        compressed.append(dictionary[stringSaved])

    with open(path,"wb") as f:
        pickle.dump((compressed,shape),f)

**L'algoritmo di compressione non fa altro che prendere l'immagine ed applicare lzw。

在解压阶段，当算法加载压缩文件然后返回原始图像时，它给了我以下错误：ValueError: cannot reshape array of size 49897 into shape (500,700,3).

我哪里做错了？

**

解压

def lzwDecompression (path,img_path) :
    with open(path,"rb") as f:
        compressed,shape = pickle.load(f)
    dictionary = dict()
    lenDictionary = 256
    for i in range(256):
        dictionary[i] = chr(i)

    img = ""
    s = chr(compressed.pop(0))
    img += s
    for k in compressed :
        if k in dictionary.keys():
            ins = dictionary[k]
        elif k == lenDictionary:
            ins = s + s[0]
            img += ins

        dictionary[lenDictionary] = s + ins[0]
        lenDictionary +=1
        s = ins 

    img = [ord(x) for x in img]
    img = np.array(img,dtype=np.uint16).reshape(shape)
    cv2.imwrite(img_path,img)

   
**MAIN**

from LZW import * 
from PIL import Image
import numpy as np 

path1 = "LZW-Project\im3.jpg"
path2 ="Outpit"
path3 = "Input"

lzwCompression(path1,path2)
lzwDecompression(path2,path3)