Gifski | π Convert videos to high-quality GIFs on your Mac | Animation library
kandi X-RAY | Gifski Summary
kandi X-RAY | Gifski Summary
This is a macOS app for the gifski encoder, which converts videos to GIF animations using pngquant's fancy features for efficient cross-frame palettes and temporal dithering. It produces animated GIFs that use thousands of colors per frame and up to 50 FPS (useful for showing off design work on Dribbble). You can also produce smaller lower quality GIFs when needed with the βQualityβ slider, thanks to gifsicle. Gifski supports all the video formats that macOS supports (.mp4 or .mov with H264, HEVC, ProRes, etc). The QuickTime Animation format is not supported. Use ProRes 4444 XQ instead. It's more efficient, more widely supported, and like QuickTime Animation, it also supports alpha channel. Gifski has a bunch of settings like changing dimensions, speed, frame rate, quality, looping, and more. Blog post Β Β Product Hunt.
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QUESTION
I am trying to convert a .mp4
file to .gif
using NPM packages, but nothing seems to be working.
I tried using gifski binary package (NPM) for this, but no luck. It says its a binary package and you can use it by child_process.spawn()
or similar. I installed it with -g
(global
) flag and seems like its not recognized even with global
flag. Not sure If you can set PATH or anything. Let me know if its possible.
As for the other tries, I used gify and its just not doing anything (no file or error).
I am getting the .mp4
file from puppeteer-lottie NPM package. Here's my code, if needed for testing:
ANSWER
Answered 2022-Feb-20 at 10:06For those of you who are still trying to find solution, I finally found it.
We just use ffmpeg
with child_process.exec()
. No need to install anything.
QUESTION
I'm trying to create an animated time series plot using gganimate
. The following code produces almost the desired output. It creates two random time series, constructs a data frame and renders the desired animation:
ANSWER
Answered 2022-Feb-07 at 15:53What about a workaround that could help. The idea is to create a new column that is a progressive from 1 to nrow
of the dataset and use it in the transition_reveal()
:
Obviously the dataset should be ordered by time and variabiles like in your data.
QUESTION
I was wanting to make an animated ggplot of daily values for countries over the course of a year. I was able to do that thanks to some helpful questions/answers here.
While the code below successfully makes a gif, the changes/transitions when countries move up or down/overtake one another is very abrupt (i.e instantaneous). It is not smooth like the examples in the linked post.
I'm not entirely sure why this is happening and would really appreciate some help. Thanks in advance to anyone who is able to provide some insight. Code is below.
...ANSWER
Answered 2022-Jan-21 at 21:16The temporal resolution of your data is very high, you have 365 timepoints, but only 500 frames in your animation. These smooth switches therefore happen within 500 / 365 = ~1.4 frames and aren't visible.
Either make your animation much longer, reduce the time resolution of the data, or manually code in transitions. For example, here's what happens if we give data only once a month:
QUESTION
ANSWER
Answered 2021-Oct-29 at 00:08Ok, I think the problem is in the number of default frames (100)
QUESTION
Suppose I have the three following plots (in R):
...ANSWER
Answered 2021-Oct-10 at 15:00Here is a way. Just follow the last example in help("gifski")
.
QUESTION
I have a list of inputs (a combination of gifs and png) that I am trying to overlay and create a new gif. I was able to achieve this using this command and the following result:
...ANSWER
Answered 2021-Oct-04 at 17:01QUESTION
I have about 24,000 photos (JPG) saved across a few folders. What I'd like to do is develop an R script that goes through all images of the folder and creates a GIF animation for every sequential group of 8 photos. I already have GIF animation code figured out using the magick library, so I don't need help with that. What I need help with is how to develop the code that steps through the images in the folder and groups them by a factor of 8. For example, If I have a folder of 24 images, I need something that will loop through the folder create 3 GIF files based on the three groups of 8 images as follows: GIF 1: images 1-8 in the folder GIF 2: images 9-16 in the folder GIF 3: images 17-24 in the folder
Here is the code I have so far, which assembles all images in the folder into a single GIF. I'm hoping there's an easy couple of lines of code that can be added that will step through every group of 8 images in the folder to produce a GIF animation. I would also like to name the output GIF file the same file name as the first image in the sequence.
...ANSWER
Answered 2021-Sep-27 at 12:43This should works:
QUESTION
Below is an example of animating vehicle moving from A to B. [solved by @mrhellmann here, there are solutions also available]
I want to animate vehicle moving from A to B and then wait at B for sometime and then return to A. Below is the code which has animations of both the trip (A-B and B-A).
How can we merge
osroute_sampled_1
andosroute_sampled_2
to create single animation?Also, how can we add wait time (make vehicle stationary for few seconds at B?
Note - Vehicle may not return to A, it may go to C. So creating a single route using same origin and destination (A) via B may not work
...ANSWER
Answered 2021-Aug-25 at 07:46Never really worked with sf
and friends before, but after reading the docs I could imagine a solution like this to fulfill your needs.
Since sf
are in fact extended data.frames
they naturally come with an rbind
functionality. Having said that, the whole task should be as easy as rbind
'ing all the relevant paths together. As for the waiting time, simply repeat the last row in the sf
a couple of times, which would give you the impression of the vehicle stopping at B (and A on the way back).
QUESTION
ANSWER
Answered 2021-May-19 at 05:42Answer
Remove the whitespace around the names:
QUESTION
I've created a large gganim of a lorenz curve using packages
ggplot2, gglorenz, gganimate, transformr and gifski
.
I've created the gganim plot using 'wealth_lorenz', a df of 5 variables and ~2.5 million rows using the below code,
lorenz_chart <- ggplot(wealth_lorenz, aes(x = value, color = Limits)) + stat_lorenz() + transition_states(Time) + facet_wrap(~Limits)
The gganim object created is 103.4MB in size.
Understandably, it takes too long to render in Rstudio using animate(lorenz_chart)
.
Is there an alternative that could be faster to run out? I understand it's a very large dataset with faceting so it may not be possible. Ideally I'd like to include the animation in a bookdown PDF_2 using the animate package (see here) if possible.
Thanks for any help!
...ANSWER
Answered 2021-Mar-23 at 13:55The problem here really is the length of the data and the need to capture all of it. To that end, the stat_lorenz() function is a very resource-intensive calculation (which needs repeated many times), so I decided to take another route by calculating the formula of each curve and then plotting as normal using geom_line() - I recommend anyone else using this function for large datasets do the same. Thanks.
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