mpv | 🎥 Command line video player | Video Utils library
kandi X-RAY | mpv Summary
kandi X-RAY | mpv Summary
mpv is a free (as in freedom) media player for the command line. It supports a wide variety of media file formats, audio and video codecs, and subtitle types. There is a FAQ. Releases can be found on the release list.
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Community Discussions
Trending Discussions on mpv
QUESTION
I use the library https://github.com/jaseg/python-mpv to control the mpv player, but when using it together with pyside6, keybindings do not work (player doesn't accept input totally). What am I doing wrong? or is it impossible to use them when embedding in pyside6? (If I run the player with the same arguments without embedding, everything works fine)
...ANSWER
Answered 2022-Feb-23 at 18:13If the keyboard is not handled (which, in my tests, only happened when the mouse is not hovering the video), the key events are propagated to the Qt window. This means that we can handle those events in the keyPressEvent()
override and then create a proper mpv command, which is already mapped to the keypress()
function. Obviously, a reference to the player must exist, so you need to make it an instance attribute.
For standard literal keys, it's usually enough to use the event's text()
, but for other keys such as arrows you need to map the event with mpv's key names. Using a dictionary is certainly simpler:
QUESTION
I'm trying to use yt-dlp rather than youtube-dl due to the bottlenecking on download speeds in youtube-dl but I can't get it to work.
My mpv.conf file looks like:
script-opts=ytdl_hook-ytdl_path=/usr/local/bin/yt-dlp
When trying to get mpv to run I get this warning:
[ytdl_hook] script-opts: unknown key ytdl_path, ignoring
Does anyone know what the problem is? I've read through the mpv docs and it says this should work.
mpv is version 0.27.2
...ANSWER
Answered 2022-Feb-19 at 18:05I had the same problem as you, on mpv version 0.32.0. The problem is that the ytdl-hook settings category is not an option in these older versions. Your solutions are to update your mpv version or to create a link from youtube-dl to yt-dlp. Hope this helps.
QUESTION
I already managed to get a section of the website I wanted. But, without the resources (audio).
...ANSWER
Answered 2022-Feb-15 at 02:16Get the path to the media file with this XPath expression:
QUESTION
I ran the following command, it seems to be stuck, neither error nor success:
...ANSWER
Answered 2022-Feb-14 at 12:43This is a bug in current Ubuntu 22.04 development version filed as bug #1959717 - I guess we have to wait until it gets fixed.
QUESTION
I'm trying to create a function, that returns the nth largest group (or element if only 1 exists), of a data frame by uniquely sorting a column of the data frame and then passing that argument as a row argument into the data frame. I'm new at R and I'm in a data science post graduate program. My function seems to not work, it only returns the column names, However, the hard code, does work. I posted my results below.
Just a background, I'm, using a car database. I'm trying to return not just the nth largest value, but all elements of the data frame that correspond to the nth largest price in the price column. The hard code works exactly how I want it to. But the function does not.
...ANSWER
Answered 2021-Dec-31 at 14:57Your code is not working because - inside the function - R doesn't know how to subset data_frame$column
using $
when column
is a argument to the function.
You've got two ways to fix this:
- Subset the dataframe with a string:
data_frame[[column]]
, but now we need to call the function using"price"
(as a string). - Subset the dataframe with a dplyr verb and the
{{
operator:dplyr::pull(data_frame, {{column}})
.
Subset with a string:
QUESTION
I am writing software that takes in a file as a stream and decodes it. I have the following custom AVIO code for stream input:
...ANSWER
Answered 2021-Sep-08 at 00:08As SuRGeoNix pointed out, I had not implemented a seek function for the AVIO context; I think this messed up FFMPEG since it could not figure out the size of the buffer. This is my now working code:
QUESTION
I want to play a mp4 video on Debian 9.
First, I try to use ffplay to play the video. I use the command ffplay test.mp4
, but it cannot play, and display many same errors Receive_frame and send_packet both returned EAGAIN, which is an API violation.
. There are detailed logs.
ANSWER
Answered 2021-Sep-04 at 18:39- h264_rkmpp appears to incorrectly have priority over the built-in FFmpeg H.264 decoder (named h264), so h264_rkmpp is being used by default.
- h264_rkmpp is having trouble decoding this video (I don't know why).
Manually tell ffplay
to use h264 instead:
QUESTION
I need to run a script to play a video when I turn on my Raspberry Pi 4. I'm using crontab to run my script which opens a video with mpv. When I run the script normally, it works fine and the video is being played. The problem is, when i boot the raspberry, the script automatically runs but mpv doesn't .
here is my script:
...ANSWER
Answered 2021-Aug-19 at 10:34Please update your script:
QUESTION
I hope someone can help me with the following problem: I would like to display the value (avg) of different laboratory parameters (parameter) of 2 different groups (gruppe). Additionally, I want to plot this information according to the change over time (performance) in 3 different facets. Here a tibble of the dataset:
...ANSWER
Answered 2021-Jul-24 at 10:33The issue is that reorder
reorders by taking the mean of all values for each parameter
without taking account of any grouping.
Adapting this answer to your case and making use of some random example data to mimic your real data this could be achieved like so:
The helper function reorder_where
allows to order the categories by an additional condition, e.g. in your case where gruppe == "Fasten" & performance == "change_t1t0"
is TRUE
QUESTION
I am trying to create a class for calibrating a classifier. I have been reading resources on probability calibration and I am a bit confused on which dataset should we calibrate the classifier. I created a class that split the training set to further train and validation the set. Then, the classifier is first fitted to the train set and predicts the uncalibrated probability on the validation set.
Then, I create a cal_model instance of the CalibrationCV class and then fit it to the validation set and predict calibrated probabilities of the validation set again.
Could someone take a look at the code below and correct the code for me?
...ANSWER
Answered 2021-Jun-11 at 14:06the calibration_curve code is correct. I am comparing the logistic regression calibration versus the xgboost calibration. the dataframes hold predict_proba[:,1] values or the probability of happening. see (https://github.com/dnishimoto/python-deep-learning/blob/master/Credit%20Loan%20Risk%20.ipynb)
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