greenscreen | Virtual backgrounds and more for your webcam | Computer Vision library
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kandi X-RAY | greenscreen Summary
Virtual backgrounds and more for your webcam
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QUESTION
after spending some time learning basic computer vision concepts and techniques I started to notice how unreliable simple scripts can get when the luminosity or scale changes and how resource consuming is to use more advanced solutions like creating a well-made HAAR cascade or HOG-feature based svm. Furthermore, some even more advanced methods involving machine learning usually take a lot of time and GPUhours when a high quality model is created.
Recently while looking through YouTube I've found a lot of so called VTubers who use various software to control virtual avatars with somewhat precise motion tracking and what seems to be no errors whatsoever. While not something unimaginable, the amount of people using the software and the amount of software itself seems to be rather large.
Planning to investigate even further I looked into different ways similar technology works, but so far I only found a complex solutions involving either AI driven models or assistance from some sort of positional sensors attached to the body of the user. Still its hard to believe all of those people go through such measures, so I realised that perhaps this is accomplishable with some cv solution which is relatively easy on resource consumption. So far I looked into different ways to "map" model joints to human ones. On my own I tried basic counter matching, and greenscreen filtering to avoid errors. while I successfully managed to remove almost all errors, there still were moments when mapping snapped arm for example to elbow and etc.
How exactly is object recognition and motion tracking of such quality is achieved using only computer vision?
...ANSWER
Answered 2021-Jan-22 at 18:46I'd recommend looking at the OpenCV Tracking API. It implements various tracking algorithms out of the box. Here is a good introduction to object tracking in OpenCV that would be a good starting point. These approaches would be fast and efficient, but that only address the tracking part of your question.
Where the Object Detection (as in AI/ML, so maybe that goes beyond the 'computer vision' component of your question) factors in is identifying the object you want to track in the first place. Object detection would, of course, automate that. Object detection of discrete frames doesn't necessarily associate objects, so for example in video frame 1 you detect a vehicle, then in video frame 2 you also detect a vehicle: is it the same object or different? In this context object detection and tracking can work together to detect and then track objects (associating a unique ID) across frames.
Below is an example from the SORT multi-tracking algorithm, which is a fast and easy to implement tracker that works in conjunction with ML-based object detection:
QUESTION
I want to stream a static image to the android studio emulator. To do that I created a virtual camera using v4l2loopback v.12.5 in linux ubuntu 20.04. The virtual camera is created in /dev/video2. I can stream there using obs and a plugin, ffmpeg or gstreamer but I've got different issues with each one. I don't care which software works... I always use an image with the resolution 1920x1080 to test this.
OBS: I installed the obs plugin following this tutorial here. It explains how to install v4l2loopback and add the plugin to obs. The plugin is called obs-v4l2sink. I start v4l2loopback using this command:
...ANSWER
Answered 2020-Dec-04 at 09:36I just tried it with Android Studio Emulator API 28 (Google X86_ARM) and it works. So it seems that it is related to the CPU Architecture of the emulator and x86 64 does not work. I needed arm though and thankfully Google added Arm translation to an image in Api 28.
It seems that only images with resolution 1920x1080 work, but maybe it is only related to the ratio.
Obs does not work now for some reason but this command works perfectly: ffmpeg -loop 1 -re -i licensePlate2.png -f v4l2 -vcodec rawvideo -pixfmt nv12 -vf transpose=4 /dev/video2
QUESTION
I know how to chroma key / greenscreen filter a background of a video stream and replace it by an image using v4l2loopback. After running
...ANSWER
Answered 2020-Nov-05 at 20:51Use -stream_loop
to loop and -re
for real-time speed since you're streaming (or else it will play super fast):
QUESTION
I'm trying to use FFMPEG to programatically put an overlay with greenscreen, and I'm using the following command:
...ANSWER
Answered 2020-Oct-22 at 18:47Add eof_action
option to overlay filter:
QUESTION
I am very new to React, if you need any more information let me know and I can provide. I am trying to add bottom tabs. I have followed the react-navigation documentation to the best of my ability. I have also scoured the forms and found a few similar questions, but still could not work it out. Thank you for the help.
...ANSWER
Answered 2020-Oct-08 at 16:18Your imports are wrong You should import like below
QUESTION
I have hundreds of images that all look similar to this one here:
I simply want to use the green screen to create a mask for each image that looks like this one here (the border should preferably be smoothed out a little bit):
Here is the original image if you want to do tests: https://mega.nz/#!0YJnzAJR!GRYI4oNWcsKztHGoK7e4uIv_GvXBjMvyry7cPmyRpRA
What I've triedI found this post where the user used Imagemagick to achieve chroma keying.
...ANSWER
Answered 2020-Mar-02 at 23:04If on a Unix-like system, you can try my greenscreen script that makes calls to ImageMagick and is written in Bash Unix. For example:
Input:
QUESTION
I need to create a gif file with color key (greenscreen) with 10FPS and specified size. I try to combine -vg and -filter_complex:
...ANSWER
Answered 2020-Feb-03 at 15:09All filters for a stream should be within the same filtergraph, so inside the -filter_complex
ffmpeg -i testdatei-c.avi -filter_complex "[0:v]chromakey=0xFFFFFF,fps=10,scale=320:-1:flags=lanczos,split[v0][v1];[v0]palettegen[p];[v1][p]paletteuse" output.gif
QUESTION
I want to remove the background of a video. After that I want to put it into another video and then save it as a new mp4-file. I'm using Windows 10 and I have the following problem that I can't create a new mp4-file after I run my code.
Idea: I have a car with a greenscreen in the back. I want to cut this car out and put it in front of the street video. result should be a car driving on the street(video).
code from myScript:
...ANSWER
Answered 2019-Dec-29 at 23:31QUESTION
I have a worksheet which contains:
Project Number in Col A
Project Description Col B
Project Manager E-mail address Col C
Date fields Col D and E
Sent status Col F
Date Sent Col G
I want to send an email, once due date has been reached, with the details in the applicable row of the spreadsheet.
I had it running however, it was specific to Cells "A2" and "C2".
I attempted to revise my code to reflect the range in place of "A2" reference but receive a "Compile error syntax error" message referring to this line which is highlighted red:
...ANSWER
Answered 2017-Oct-18 at 07:07Try this:
QUESTION
I decided to make a image editing program using only the array given to me by the matplotlib.pyplot.imread
method, but when I try to assign the contents of one pixel to another, it tells me that it: can't assign to function call
.
ANSWER
Answered 2019-Oct-11 at 21:20f(xCount2, y1) = f(xSet, y1)
f(xCount2, y1) = f(xSet, y1)
f(xCount2, y1) = f(xSet, y1)
f(xCount2, y1) = f(xSet, y1)
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