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Python3 TypeError:需要类似字节的对象,而不是'str'

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我正在尝试遵循这个OpenCV练习http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html但是却陷入了运行mergevec.py的步骤(我使用的是Python版本而不是.cpp) . 我在本文中使用Python 3而不是Python 2.x.

该文件的来源是https://github.com/wulfebw/mergevec/blob/master/mergevec.py

我得到的错误是

Traceback (most recent call last):
  File "./tools/mergevec1.py", line 96, in <module>
    merge_vec_files(vec_directory, output_filename)
  File "./tools/mergevec1.py", line 45, in merge_vec_files
    val = struct.unpack('<iihh', content[:12])
TypeError: a bytes-like object is required, not 'str'

我试图按照python 3.5: TypeError: a bytes-like object is required, not 'str' when writing to a file并使用 open(f, 'r', encoding='utf-8', errors='ignore') 但仍然没有运气 .

我的修改后的代码如下:

import sys
import glob
import struct
import argparse
import traceback


def exception_response(e):
    exc_type, exc_value, exc_traceback = sys.exc_info()
    lines = traceback.format_exception(exc_type, exc_value, exc_traceback)
    for line in lines:
        print(line)

def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument('-v', dest='vec_directory')
    parser.add_argument('-o', dest='output_filename')
    args = parser.parse_args()
    return (args.vec_directory, args.output_filename)

def merge_vec_files(vec_directory, output_vec_file):


    # Check that the .vec directory does not end in '/' and if it does, remove it.
    if vec_directory.endswith('/'):
        vec_directory = vec_directory[:-1]
    # Get .vec files
    files = glob.glob('{0}/*.vec'.format(vec_directory))

    # Check to make sure there are .vec files in the directory
    if len(files) <= 0:
        print('Vec files to be mereged could not be found from directory: {0}'.format(vec_directory))
        sys.exit(1)
    # Check to make sure there are more than one .vec files
    if len(files) == 1:
        print('Only 1 vec file was found in directory: {0}. Cannot merge a single file.'.format(vec_directory))
        sys.exit(1)


    # Get the value for the first image size
    prev_image_size = 0
    try:
        with open(files[0], 'r', encoding='utf-8', errors='ignore') as vecfile:
            content = ''.join(str(line) for line in vecfile.readlines())
            val = struct.unpack('<iihh', content[:12])
            prev_image_size = val[1]
    except IOError as e:
        f = None
        print('An IO error occured while processing the file: {0}'.format(f))
        exception_response(e)


    # Get the total number of images
    total_num_images = 0
    for f in files:
        try:
            with open(f, 'r', encoding='utf-8', errors='ignore') as vecfile:
                content = ''.join(str(line) for line in vecfile.readlines())
                val = struct.unpack('<iihh', content[:12])
                num_images = val[0]
                image_size = val[1]
                if image_size != prev_image_size:
                    err_msg = """The image sizes in the .vec files differ. These values must be the same. \n The image size of file {0}: {1}\n 
                        The image size of previous files: {0}""".format(f, image_size, prev_image_size)
                    sys.exit(err_msg)

                total_num_images += num_images
        except IOError as e:
            print('An IO error occured while processing the file: {0}'.format(f))
            exception_response(e)


    # Iterate through the .vec files, writing their data (not the header) to the output file
    # '<iihh' means 'little endian, int, int, short, short'
    header = struct.pack('<iihh', total_num_images, image_size, 0, 0)
    try:
        with open(output_vec_file, 'wb') as outputfile:
            outputfile.write(header)

            for f in files:
                with open(f, 'w', encoding='utf-8', errors='ignore') as vecfile:
                    content = ''.join(str(line) for line in vecfile.readlines())
                    data = content[12:]
                    outputfile.write(data)
    except Exception as e:
        exception_response(e)


if __name__ == '__main__':
    vec_directory, output_filename = get_args()
    if not vec_directory:
        sys.exit('mergvec requires a directory of vec files. Call mergevec.py with -v /your_vec_directory')
    if not output_filename:
        sys.exit('mergevec requires an output filename. Call mergevec.py with -o your_output_filename')

    merge_vec_files(vec_directory, output_filename)

你知道我做错了吗?谢谢 .

UPDATE 1

我这样做了:

content = b''.join(str(line) for line in vecfile.readlines())

我基本上在前面添加了“b” . 但是,现在我得到了一个不同的错误:

回溯(最近一次调用最后一次):文件“./tools/mergevec1.py”,第97行,在merge_vec_files(vec_directory,output_filename)文件“./tools/mergevec1.py”,第44行,在merge_vec_files内容= b'' .join(vecfile.readlines()中行的str(行)TypeError:序列项0:期望找到类似字节的对象,str找到

1 回答

  • 2

    尝试更改此代码块,如下所示:

    for f in files:
        try:
            with open(f, 'rb') as vecfile:
                content = vecfile.read()
                val = struct.unpack('<iihh', content[:12])
                num_images = val[0]
                image_size = val[1]
                if image_size != prev_image_size:
                    err_msg = """The image sizes in the .vec files differ. These values must be the same. \n The image size of file {0}: {1}\n 
                        The image size of previous files: {0}""".format(f, image_size, prev_image_size)
                    sys.exit(err_msg)
    
                total_num_images += num_images
        except IOError as e:
            print('An IO error occured while processing the file: {0}'.format(f))
            exception_response(e)
    

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