I am working on event-based video processing. I am new to this now and I have some problems with loading the raw video file into python. Some suggestions would be greatly appreciated!
I first tried to read the file directly but got an OSError.
OSError: Failed to open camera C:\Users\masiy\Documents\MPhil\Master\raw_videos\recording_2022-02-20_20-50-22 !
Then I tried assertion.
path = ["Users", "masiy", "Documents", "MPhil", "Master", "raw_videos", "recording_2022-02-20_20-50-22"]
f = 'C:'
for p in path:
f = os.path.join(f, p)
print(f)
assert os.path.exists(f)
assert os.path.isfile(f)```
Traceback (most recent call last):File "C:/Users/masiy/PycharmProjects/mphil_testing/load_automotive_sequence.py", line 34, in <module>assert os.path.exists(f)AssertionErrorC:Users
Any help would be appreciated!
I tried to replace my video with a video downloaded online and the code worked perfectly fine. I am so confused now...
I am using an ffmpeg based module called pydub to edit an audio file. I am trying to use the module tempfile, but for some reason I can't close the files (they arent deleted). When using a context manager it throws a PermissionError.
What I tried:
This code works like intended, however it does not delete the tempfile(s), no error is thrown.
temp1, temp2 = tempfile.NamedTemporaryFile(dir='data/temp', delete=False), None
# save something to temp1
seg = AudioSegment.from_file_using_temporary_files(temp1)
if options['overlay']:
# create new seg
if overlay_seg:
temp2 = tempfile.NamedTemporaryFile(dir='data/temp', delete=False)
# save something to temp2
overlay_seg = AudioSegment.from_file_using_temporary_files(temp2)
seg = seg.overlay(overlay_seg)
# edit the audio more here..
final = 'data//temp//edited.mp3'
seg.export(final, bitrate=options['bitrate'], format='mp3')
await ctx.send(file=discord.File(final)) # sends the file to a Discord chat
temp1.close()
if temp2:
temp2.close()
This creates the first temp file, then it throws an error:
Traceback (most recent call last):
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\site-packages\discord\ext\commands\core.py", line 85, in wrapped
ret = await coro(*args, **kwargs)
File "<myfile>", line 153, in editaudio
await attachment.save(temp1.name)
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\site-packages\discord\message.py", line 155, in save
with open(fp, 'wb') as f:
PermissionError: [Errno 13] Permission denied: '<base>data\\temp\\tmpnf2r68qe'
with tempfile.NamedTemporaryFile(dir='data/temp') as temp1:
await attachment.save(temp1.name)
seg = AudioSegment.from_file_using_temporary_files(temp1)
if options['overlay']:
# create new seg
if overlay_seg:
with tempfile.NamedTemporaryFile(dir='data/temp') as temp2:
# save something to temp2
overlay_seg = AudioSegment.from_file_using_temporary_files(temp2)
seg = seg.overlay(overlay_seg)
# edit the audio more here..
final = 'data//temp//edited.mp3'
seg.export(final, bitrate=options['bitrate'], format='mp3')
await ctx.send(file=discord.File(final)) # sends the file to a Discord chat
I am not sure what I am missing here
Well, your tempfiles do not get deleted if you create them with the option delete=False. This is self explanatory but also mentioned in the docs.
Your second approach is hard to debug since you do not provide a minimal reproducible example. Presumably the problem arises because you already opened the tempfile by using the context manager. attachment.save() probably expects a path, but I couldn't find a documentation online.
I'm trying to use a psm of 0 with pytesseract, but I'm getting an error. My code is:
import pytesseract
from PIL import Image
img = Image.open('pathToImage')
pytesseract.image_to_string(img, config='-psm 0')
The error that comes up is
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/site-packages/pytesseract/pytesseract.py", line 126, in image_to_string
f = open(output_file_name, 'rb')
IOError: [Errno 2] No such file or directory:
'/var/folders/m8/pkg0ppx11m19hwn71cft06jw0000gp/T/tess_uIaw2D.txt'
When I go into '/var/folders/m8/pkg0ppx11m19hwn71cft06jw0000gp/T', there's a file called tess_uIaw2D.osd that seems to contain the output information I was looking for. It seems like tesseract is saving a file as .osd, then looking for that file but with a .txt extension. When I run tesseract through the command line with --psm 0, it saves the output file as .osd instead of .txt.
Is it correct that pytesseract's image_to_string() works by saving an output file somewhere and then automatically reading that output file? And is there any way to either set tesseract to save the file as .txt, or to set it to look for a .osd file? I'm having no issues just running the image_to_string() function when I don't set the psm.
You have a couple of questions here:
PSM error
In your question you mention that you are running "--psm 0" in the command line. However in your code snip you have "-psm 0".
Using the double dash, config= "--psm 0", will fix that issue.
If you read the tesseract command line documentation, you can specify where to output the text read from the image. I suggest you start there.
Is it correct that pytesseract's image_to_string() works by saving an output file somewhere and then automatically reading that output file?
From my usage of tesseract, this is not how it works
pytesseract.image_to_string() by default returns the string found on the image. This is defined by the parameter output_type=Output.STRING, when you look at the function image_to_string.
The other return options include (1) Output.BYTES and (2) Output.DICT
I usually have something like text = pytesseract.image_to_string(img)
I then write that text to a log file
Here is an example:
import datetime
import io
import pytesseract
import cv2
img = cv2.imread("pathToImage")
text = pytesseract.image_to_string(img, config="--psm 0")
ocr_log = "C:/foo/bar/output.txt"
timestamp_fmt = "%Y-%m-%d_%H-%M-%S-%f"
# ...
# DO SOME OTHER STUFF BEFORE WRITING TO LOG FILE
# ...
with io.open(ocr_log, "a") as ocr_file:
timestamp = datetime.datetime.now().strftime(timestamp_fmt)
ocr_file.write(f"{timestamp}:\n====OCR-START===\n")
ocr_file.write(text)
ocr_file.write("\n====OCR-END====\n")
Basically i want to convert speech to text, so I am trying to use the google voice recognition api for python.
This is the code which i'm trying to run-
from pygsr import Pygsr
speech = Pygsr()
speech.record(3) # duration in seconds (3)
phrase, complete_response = speech.speech_to_text('es_ES')
print phrase # This is the required output
I've installed all the modules correctly, so probably nothing is wrong with the modules, i am getting the following error-
Traceback (most recent call last):
File "C:/Python/google_voice.py", line 4, in <module>
phrase, complete_response = speech.speech_to_text('es_ES') # select the language
File "C:/Python\pygsr\__init__.py", line 49, in speech_to_text
audio = open(file_upload, "rb").read()
IOError: [Errno 2] No such file or directory: 'audio.flac'
Can somebody please tell me what am i missing.
Or please suggest any good speech to text conversion method for python.
You miss the sox tool installed which converts recorded wav to flac, you can see in line in pygsr sources: system("sox %s -t wav -r 48000 -t flac %s.flac" % (self.file, self.file)). Make sure that sox works for you and it can create flac files.
I have two zip files, both of them open well with Windows Explorer and 7-zip.
However when i open them with Python's zipfile module [ zipfile.ZipFile("filex.zip") ], one of them gets opened but the other one gives error "BadZipfile: File is not a zip file".
I've made sure that the latter one is a valid Zip File by opening it with 7-Zip and looking at its properties (says 7Zip.ZIP). When I open the file with a text editor, the first two characters are "PK", showing that it is indeed a zip file.
I'm using Python 2.5 and really don't have any clue how to go about for this. I've tried it both with Windows as well as Ubuntu and problem exists on both platforms.
Update: Traceback from Python 2.5.4 on Windows:
Traceback (most recent call last):
File "<module1>", line 5, in <module>
zipfile.ZipFile("c:/temp/test.zip")
File "C:\Python25\lib\zipfile.py", line 346, in init
self._GetContents()
File "C:\Python25\lib\zipfile.py", line 366, in _GetContents
self._RealGetContents()
File "C:\Python25\lib\zipfile.py", line 378, in _RealGetContents
raise BadZipfile, "File is not a zip file"
BadZipfile: File is not a zip file
Basically when the _EndRecData function is called for getting data from End of Central Directory" record, the comment length checkout fails [ endrec[7] == len(comment) ].
The values of locals in the _EndRecData function are as following:
END_BLOCK: 4096,
comment: '\x00',
data: '\xd6\xf6\x03\x00\x88,N8?<e\xf0q\xa8\x1cwK\x87\x0c(\x82a\xee\xc61N\'1qN\x0b\x16K-\x9d\xd57w\x0f\xa31n\xf3dN\x9e\xb1s\xffu\xd1\.....', (truncated)
endrec: ['PK\x05\x06', 0, 0, 4, 4, 268, 199515, 0],
filesize: 199806L,
fpin: <open file 'c:/temp/test.zip', mode 'rb' at 0x045D4F98>,
start: 4073
files named file can confuse python - try naming it something else. if it STILL wont work, try this code:
def fixBadZipfile(zipFile):
f = open(zipFile, 'r+b')
data = f.read()
pos = data.find('\x50\x4b\x05\x06') # End of central directory signature
if (pos > 0):
self._log("Trancating file at location " + str(pos + 22)+ ".")
f.seek(pos + 22) # size of 'ZIP end of central directory record'
f.truncate()
f.close()
else:
# raise error, file is truncated
I run into the same issue. My problem was that it was a gzip instead of a zip file. I switched to the class gzip.GzipFile and it worked like a charm.
astronautlevel's solution works for most cases, but the compressed data and CRCs in the Zip can also contain the same 4 bytes. You should do an rfind (not find), seek to pos+20 and then add write \x00\x00 to the end of the file (tell zip applications that the length of the 'comments' section is 0 bytes long).
# HACK: See http://bugs.python.org/issue10694
# The zip file generated is correct, but because of extra data after the 'central directory' section,
# Some version of python (and some zip applications) can't read the file. By removing the extra data,
# we ensure that all applications can read the zip without issue.
# The ZIP format: http://www.pkware.com/documents/APPNOTE/APPNOTE-6.3.0.TXT
# Finding the end of the central directory:
# http://stackoverflow.com/questions/8593904/how-to-find-the-position-of-central-directory-in-a-zip-file
# http://stackoverflow.com/questions/20276105/why-cant-python-execute-a-zip-archive-passed-via-stdin
# This second link is only losely related, but echos the first, "processing a ZIP archive often requires backwards seeking"
content = zipFileContainer.read()
pos = content.rfind('\x50\x4b\x05\x06') # reverse find: this string of bytes is the end of the zip's central directory.
if pos>0:
zipFileContainer.seek(pos+20) # +20: see secion V.I in 'ZIP format' link above.
zipFileContainer.truncate()
zipFileContainer.write('\x00\x00') # Zip file comment length: 0 byte length; tell zip applications to stop reading.
zipFileContainer.seek(0)
return zipFileContainer
I had the same problem and was able to solve this issue for my files, see my answer at
zipfile cant handle some type of zip data?
I'm very new at python and i was facing the exact same issue, none of the previous methods were working.
Trying to print the 'corrupted' file just before unzipping it returned an empty byte object.
Turned out, I was trying to unzip the file right after writing it to disk, without closing the file handler.
with open(path, 'wb') as outFile:
outFile.write(data)
outFile.close() # was missing this
with zipfile.ZipFile(path, 'r') as zip:
zip.extractall(destination)
Closing the file stream then unzipping the file resolved my issue.
Sometime there are zip file which contain corrupted files and upon unzipping the zip gives badzipfile error. but there are tools like 7zip winrar which ignores these errors and successfully unzip the zip file. you can create a sub process and use this code to unzip your zip file without getting BadZipFile Error.
import subprocess
ziploc = "C:/Program Files/7-Zip/7z.exe" #location where 7zip is installed
cmd = [ziploc, 'e',your_Zip_file.zip ,'-o'+ OutputDirectory ,'-r' ]
sp = subprocess.Popen(cmd, stderr=subprocess.STDOUT, stdout=subprocess.PIPE)
Show the full traceback that you got from Python -- this may give a hint as to what the specific problem is. Unanswered: What software produced the bad file, and on what platform?
Update: Traceback indicates having problem detecting the "End of Central Directory" record in the file -- see function _EndRecData starting at line 128 of C:\Python25\Lib\zipfile.py
Suggestions:
(1) Trace through the above function
(2) Try it on the latest Python
(3) Answer the question above.
(4) Read this and anything else found by google("BadZipfile: File is not a zip file") that appears to be relevant
I faced this problem and was looking for a good and clean solution; But there was no solution until I found this answer. I had the same problem that #marsl (among the answers) had. It was a gzipfile instead of a zipfile in my case.
I could unarchive and decompress my gzipfile with this approach:
with tarfile.open(archive_path, "r:gz") as gzip_file:
gzip_file.extractall()
Have you tried a newer python, or if that is too much trouble, simply a newer zipfile.py? I have successfully used a copy of zipfile.py from Python 2.6.2 (latest at the time) with Python 2.5 in order to open some zip files that weren't supported by Py2.5s zipfile module.
In some cases, you have to confirm if the zip file is actually in gzip format. this was the case for me and i solved it by :
import requests
import tarfile
url = ".tar.gz link"
response = requests.get(url, stream=True)
file = tarfile.open(fileobj=response.raw, mode="r|gz")
file.extractall(path=".")
for this this happened when the file wasn't downloaded fully I think. So I just delete it in my download code.
def download_and_extract(url: str,
path_used_for_zip: Path = Path('~/data/'),
path_used_for_dataset: Path = Path('~/data/tmp/'),
rm_zip_file_after_extraction: bool = True,
force_rewrite_data_from_url_to_file: bool = False,
clean_old_zip_file: bool = False,
gdrive_file_id: Optional[str] = None,
gdrive_filename: Optional[str] = None,
):
"""
Downloads data and tries to extract it according to different protocols/file types.
note:
- to force a download do:
force_rewrite_data_from_url_to_file = True
clean_old_zip_file = True
- to NOT remove file after extraction:
rm_zip_file_after_extraction = False
Tested with:
- zip files, yes!
Later:
- todo: tar, gz, gdrive
force_rewrite_data_from_url_to_file = remvoes the data from url (likely a zip file) and redownloads the zip file.
"""
path_used_for_zip: Path = expanduser(path_used_for_zip)
path_used_for_zip.mkdir(parents=True, exist_ok=True)
path_used_for_dataset: Path = expanduser(path_used_for_dataset)
path_used_for_dataset.mkdir(parents=True, exist_ok=True)
# - download data from url
if gdrive_filename is None: # get data from url, not using gdrive
import ssl
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
print("downloading data from url: ", url)
import urllib
import http
response: http.client.HTTPResponse = urllib.request.urlopen(url, context=ctx)
print(f'{type(response)=}')
data = response
# save zipfile like data to path given
filename = url.rpartition('/')[2]
path2file: Path = path_used_for_zip / filename
else: # gdrive case
from torchvision.datasets.utils import download_file_from_google_drive
# if zip not there re-download it or force get the data
path2file: Path = path_used_for_zip / gdrive_filename
if not path2file.exists():
download_file_from_google_drive(gdrive_file_id, path_used_for_zip, gdrive_filename)
filename = gdrive_filename
# -- write downloaded data from the url to a file
print(f'{path2file=}')
print(f'{filename=}')
if clean_old_zip_file:
path2file.unlink(missing_ok=True)
if filename.endswith('.zip') or filename.endswith('.pkl'):
# if path to file does not exist or force to write down the data
if not path2file.exists() or force_rewrite_data_from_url_to_file:
# delete file if there is one if your going to force a rewrite
path2file.unlink(missing_ok=True) if force_rewrite_data_from_url_to_file else None
print(f'about to write downloaded data from url to: {path2file=}')
# wb+ is used sinze the zip file was in bytes, otherwise w+ is fine if the data is a string
with open(path2file, 'wb+') as f:
# with open(path2file, 'w+') as f:
print(f'{f=}')
print(f'{f.name=}')
f.write(data.read())
print(f'done writing downloaded from url to: {path2file=}')
elif filename.endswith('.gz'):
pass # the download of the data doesn't seem to be explicitly handled by me, that is done in the extract step by a magic function tarfile.open
# elif is_tar_file(filename):
# os.system(f'tar -xvzf {path_2_zip_with_filename} -C {path_2_dataset}/')
else:
raise ValueError(f'File type {filename=} not supported.')
# - unzip data written in the file
extract_to = path_used_for_dataset
print(f'about to extract: {path2file=}')
print(f'extract to target: {extract_to=}')
if filename.endswith('.zip'):
import zipfile # this one is for zip files, inspired from l2l
zip_ref = zipfile.ZipFile(path2file, 'r')
zip_ref.extractall(extract_to)
zip_ref.close()
if rm_zip_file_after_extraction:
path2file.unlink(missing_ok=True)
elif filename.endswith('.gz'):
import tarfile
file = tarfile.open(fileobj=response, mode="r|gz")
file.extractall(path=extract_to)
file.close()
elif filename.endswith('.pkl'):
# no need to extract it, but when you use the data make sure you torch.load it or pickle.load it.
print(f'about to test torch.load of: {path2file=}')
data = torch.load(path2file) # just to test
assert data is not None
print(f'{data=}')
pass
else:
raise ValueError(f'File type {filename=} not supported, edit code to support it.')
# path_2_zip_with_filename = path_2_ziplike / filename
# os.system(f'tar -xvzf {path_2_zip_with_filename} -C {path_2_dataset}/')
# if rm_zip_file:
# path_2_zip_with_filename.unlink(missing_ok=True)
# # raise ValueError(f'File type {filename=} not supported.')
print(f'done extracting: {path2file=}')
print(f'extracted at location: {path_used_for_dataset=}')
print(f'-->Succes downloading & extracting dataset at location: {path_used_for_dataset=}')
you can use my code with pip install ultimate-utils for the most up to date version.
In the other case, this warning showing up when the ml/dl model has different format.
For the example:
you want to open pickle, but the model format is .sav
Solution:
you need to change the format to original format
pickle --> .pkl
tensorflow --> .h5
etc.
In my case, the zip file itself was missing from that directory - thus when I tried to unzip it, I got the error "BadZipFile: File is not a zip file". It got resolved after I moved the .zip file to the directory. Please confirm that the file is indeed present in your directory before running the python script.
In my case, the zip file was corrupted. I was trying to download the zip file with urllib.request.urlretrieve but the file wouldn't completely download for some reason.
I connected to a VPN, the file downloaded just fine, and I was able to open the file.