opus | pure rust opus decoder | Messaging library
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pure rust opus decoder
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QUESTION
I created a function to extract sentences from a specific key in a nested file. Now I would like to include in this function a label each time it comes to a new dictionary.
Each time the the value HEADER appears marks the begining of a NEW story. So I would like to label the sentences that belong to the same story. And differentiate those that are different.
The data looks like the following:
...ANSWER
Answered 2022-Mar-26 at 13:30You can iterate over the records and increment the label every time the c
value is HEADER
.
QUESTION
I have a few nested loops in my code and in some point, they're divided by a call to a label like this:
...ANSWER
Answered 2022-Jan-30 at 10:25There is not really a need for a subroutine. Delayed variable expansion is needed finally, but it is possible to first assign the fully qualified file name to an environment variable like FileName
to avoid troubles with file names containing an exclamation mark.
The rewritten code according to the code posted in the question with some comments:
QUESTION
I am trying to build MicroSIP version 3.20.7 for Windows 10 64-bit Operating System.
I already build PjProject (As mentioned in the documentation) and obtained all the .lib files for the same and now I am trying to use those .lib files for building MicroSIP as mentioned in the documentation over their website.
But I fall for an error of Unresolved External Symbols that is LNK2019 / LNK2001 / LNK1120.
(An image for the reference have been attached)
I am concluding with following steps.
- Download the source for PjProject and extract the source using 7Zip.
- Added a config_site.h file in the pjlib\include\pj.
- Using Visual Studio 2022, Open PjProject and select pjsua as the source project.
- Setting up the configuration for the project as -> Debug-Static for x64. and Build.
- After a successfull build I got all the .lib files for the PjProject and successfully deployed the pjsua project showing a cli menu for PjSIP.
- Now, I downloaded the latest source of MicroSIP 3.20.7 from the official website and extracted the source code using 7Zip.
- Setting the configuration for the project as Debug for x64, and including all the header files and library files from windows kit as well as the other media libraries to the Include Directories and Library Directories {Opus, SDL2, FFMPEG,x264, VPX, PjProject}
- I started to build the MicroSIP 3.20.7 and obtained the MicroSIP.lib file successfully.
But at the last where the build must give an executable file for MicroSIP, there are the list of error stating Unresolved External Symbols {LNK2019 / LNK2001 / LNK1120}
Below is the link to the image having all the error in console windows.
The error states the following message.
unresolved external symbol pjmedia_get_vid_subsys referenced in function "public: void __cdecl CmainDlg::OnTimer(unsigned __int64)" (?OnTimer@CmainDlg@@QEAAX_K@Z)
unresolved external symbol pjmedia_vid_dev_refrence referenced in function "public: void __cdecl CmainDlg::OnTimer(unsigned __int64)" (?OnTimer@CmainDlg@@QEAAX_K@Z).
etc there are other 17 error (Kindly take the refrence of above image.)
Below is the link to the image having error logged in output tab.
These are the message logged into the output tab
...ANSWER
Answered 2022-Jan-04 at 19:30It might be missing
QUESTION
I've got a very large Plex library of mixed file types on my home server (Ubuntu). I'm attempting to pull the compatible types into a client iTunes library using python. I've got it mounted in Windows 11 as M:
using credentials that give me full permissions. Here's the snippet I'm attempting to run:
ANSWER
Answered 2022-Jan-21 at 17:41This happens if you are trying to open a file, but your path is a folder.
This can happen easily by mistake.
To defend against that, use:
QUESTION
I have a js script that records audio from microphone and sends it via a websocket to a python REST API.
Part of js script (works in console):
...ANSWER
Answered 2022-Jan-20 at 00:46how can I turn this array into a proper .opus or .ogg file?
You're capturing a Webm file stream via audio/webm;codecs=opus
, so that would need to be converted from Webm to Ogg Opus. Instead, you could simply download or send the Webm Opus stream as a file as-is:
QUESTION
To make it easy to visualize, below is the following Record lookup table.
I just can't seem to find anywhere online where it tells you which of these are supposed to also contain charset=utf-8
.
Should I just assume it's anything similar to text?
Take a look:
...ANSWER
Answered 2022-Jan-10 at 05:00MDN Says:
For example, for any MIME type whose main type is text, you can add the optional charset parameter to specify the character set used for the characters in the data. If no charset is specified, the default is ASCII (US-ASCII) unless overridden by the user agent's settings. To specify a UTF-8 text file, the MIME type text/plain;charset=UTF-8 is used.
So, for anything based on text/...
you can optionally add the charset.
https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/MIME_types#structure_of_a_mime_type
The following update to contentType()
function demonstrates one solution.
QUESTION
I'm trying to develop a script that unifies my currently working scripts to parse some video files. The first one is very simple, just makes sure all video files are on mkv containers. The next few each call mkvmerge -i
to check the file for subtitles, tags, attachments and other undesired extras to strip (which is done sometimes using find
, sometimes using findstr
, for the RegEx).
This is what the output of mkvmerge -i
looks like:
ANSWER
Answered 2022-Jan-08 at 12:58A for /F
command with a set to process the output of a command line results in starting in background one more Windows command processor with %SystemRoot%\System32\cmd.exe /c
and the command line appended as additional arguments. Therefore delayed variable expansion is not enabled for this command process running in background as it would be necessary for echo !mkvmergeinfo!
. It would be necessary to run the background cmd.exe
with option /V:ON
left to option /c
and the command line to execute. But that is not possible, except running two additional cmd.exe
, the first one with /c
and a command line which starts with %ComSpec% /D /V:ON /C ...
a second cmd.exe
as suggested by aschipfl in his comment above.
I suggest to run mkvmerge.exe -i
once for each *.mkv
file and process the output using just internal commands of cmd.exe
like FOR and IF without using find.exe
and findstr.exe
at all.
Example:
QUESTION
I have been learning buffer overflows and i am trying to execute the following command through shellcode /bin/nc -e /bin/sh -nvlp 4455
. Here is my assembly code:
ANSWER
Answered 2021-Dec-29 at 14:12As you can see in strace
, the execve command executes as:
execve("/bin//nc", ["/bin//nc", "/bin//nc-e //bin/bash -nvlp 4455"], NULL) = 0
It seems to be taking the whole /bin//nc-e //bin/bash -nvlp 4455
as a single argument and thus thinks it's a hostname. In order to get around that, the three argv[]
needed for execve()
is pushed seperately.
argv[]=["/bin/nc", "-e/bin/bash", "-nvlp4455"]
These arguments are each pushed into edx, ecx, and ebx. since ebx needs to be /bin/nc, which was already done in the original code. we just needed to push 2nd and 3rd argv[] into ecx and edx and push it into stack. After that we just copy the whole stack into ecx, and then xor edx,edx
to set edx as NULL.
Here is the correct solution:
QUESTION
I have downloaded two files using pytube from Youtube. One is audio file .webm extension. While the is adaptive stream 8k video with .mp4 extension. I have to combine audio with videos more than 720p resolution generally. For this I use following FFmpeg code
...ANSWER
Answered 2021-Dec-22 at 08:38The 8k video you are trying to download uses AV1 https://en.wikipedia.org/wiki/AV1 https://aomediacodec.github.io/av1-isobmff/#codecsparam coding format
To better understand it, video codec av01.0.16M.08 means the following
- av01 is the AV1 codec
- 0 indicates Profile 0
- 16M indicates level 6.0 identifier 16
- 08 indicates an 8 bit bit depth
The key is in the level identifier 16 (6.0) A level 4.0 decoder can decode 1080p video @30fps but it won't be able to decode 1080p@60fps and it requires level 4.1 Similarly for 4k@30fps we need level 5.0 and 60fps need level 5.1 and 8k requires a level 6.0 or higher
Refer below for more information about these levels
https://en.wikipedia.org/wiki/AV1#Levels
Level 7 has not been defined yet.
You can see that some of these levels are fairly new as 8k is yet to be mainstream. ffmpeg only started supporting AV1 codec from version 4.0 and more decoder supports are being added as and when they come in newer versions.
So, in order to answer your question, you just need to update your ffmpeg to the latest version and it should solve the issue. Or you can download a video with a lower decoder level requirement and it will suffice. The added information is for reference so that someone who stumbles upon the question can better understand why the issue has happened and I hope it will help troubleshoot similar issues in the future.
QUESTION
I'm currently comparing various pre-trained NMT models and can't help but wonder what the difference between MarianMT and OpusMT is. According to OpusMT's Github it is based on MarianMT. However in the Huggingface transformers implementation all pretrained MarianMT models start with "Helsinki-NLP/opus-mt". So I thought it was the same, but even though they're roughly the same size, they yield different translation results.
If someone could please shed some light on what the differences are I would be very thankful.
...ANSWER
Answered 2021-Dec-18 at 14:43Marian is an open-source tool for training and serving neural machine translation, mostly developed at the University of Edinburgh, Adam Mickiewicz University in Poznań and at Microsoft. It is implemented in C++ and is heavily optimized for MT, unlike PyTorch-based Huggingface Transformers that aim for generality rather than efficiency in a specific use case.
The NLP group at the University of Helsinki trained many translation models using Marian on parallel data collected at Opus, and open-sourced those models. Later, they also did a conversion of the trained model into Huggingface Transformers and made them available via the Huggingface Hub.
MarianMT is a class in Huggingface Transformers for imported Marian models. You can train a model in Marian and convert it yourself. OpusMT models are Marian models trained on the Opus data in Helsinki converted to the PyTorch models. If you search the Huggingface Hub for Marian, you will find other MarianMT models than those from Helsinki.
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