From 6e0348c6e8bdb6aea8625043e68bfdcb82b33188 Mon Sep 17 00:00:00 2001 From: seendsouza Date: Thu, 27 Jul 2023 17:53:59 +0000 Subject: [PATCH] See https://github.com/virtuber/openvtuber/commit/5c12a029759b98d18ce15c483f5e9e2f954ffb56 --- 404.html | 6 +++--- docs/docker/index.html | 6 +++--- docs/index.html | 6 +++--- docs/ml/index.html | 6 +++--- index.html | 6 +++--- main.e90f0e22.js => main.f9b6abf8.js | 4 ++-- ....e90f0e22.js.LICENSE.txt => main.f9b6abf8.js.LICENSE.txt | 0 7 files changed, 17 insertions(+), 17 deletions(-) rename main.e90f0e22.js => main.f9b6abf8.js (99%) rename main.e90f0e22.js.LICENSE.txt => main.f9b6abf8.js.LICENSE.txt (100%) diff --git a/404.html b/404.html index 18f2c0b..9d5fea9 100644 --- a/404.html +++ b/404.html @@ -8,13 +8,13 @@ Page Not Found | openvtuber - +
-

Page Not Found

We could not find what you were looking for.

Please contact the owner of the site that linked you to the original URL and let them know their link is broken.

+

Page Not Found

We could not find what you were looking for.

Please contact the owner of the site that linked you to the original URL and let them know their link is broken.

- + \ No newline at end of file diff --git a/docs/docker/index.html b/docs/docker/index.html index d5ed923..22c920e 100644 --- a/docs/docker/index.html +++ b/docs/docker/index.html @@ -8,7 +8,7 @@ Running in Docker | openvtuber - + @@ -19,10 +19,10 @@

Running in Docker

To run the Docker version that runs the binary, perform these commands:

cd openvtuber-client
yarn install
yarn run build
cd ../openvtuber-server
-
docker build -t openvtuber-server .
docker run --rm --device=/dev/video0:/dev/video0 --network host openvtuber-server

You will need to replace /dev/video0 if your camera is a different device.

Edit this page
+
docker build -t openvtuber-server .
docker run --rm --device=/dev/video0:/dev/video0 --network host openvtuber-server

You will need to replace /dev/video0 if your camera is a different device.

Edit this page
- + diff --git a/docs/index.html b/docs/index.html index 88a9f19..7c9b623 100644 --- a/docs/index.html +++ b/docs/index.html @@ -8,7 +8,7 @@ Getting Started | openvtuber - + @@ -21,10 +21,10 @@

Getting Started

# Install and build web client
cd openvtuber-client
yarn install
yarn build
# Install server dependencies
cd ../openvtuber-server
pip install -r requirements.txt --user
# Build Cython files
python setup.py build_ext --inplace
-
# Run server
cd src
python -m openvtuber.lib
Edit this page
+
# Run server
cd src
python -m openvtuber.lib
Edit this page
- + diff --git a/docs/ml/index.html b/docs/ml/index.html index ec2f445..03bc780 100644 --- a/docs/ml/index.html +++ b/docs/ml/index.html @@ -8,7 +8,7 @@ Facial Detection, Tracking, and Landmarking | openvtuber - + @@ -20,10 +20,10 @@

Facial Detection, Tracking, and Landmarking

The ML module performs facial detection, tracking, and landmarking (in that order) on the image input it receives. One can find all the functions related to image and facial processing in the Inference class in ml.py. The core logic is within the infer_image function at the bottom. It takes an image and transforms it, producing a tuple containing measurements about the face.

Inference#

The inference process contains four steps, the first step is the initialisation process. The inference module relies heavily on dlib functions for much of its actual core actions, many of which need prior initialisation or preparation of some sort.

The next part is where it actually takes in an image and begins the processing. It will look for a face in the image. If a face is not found, it will not go through with the remaining steps. Dlib functions performs the calculations for this part and this is probably the slowest part of the algorithm. Although there are other choices available online for this part, dlib is one of the most well known and most used.

If it finds a face, it will take the cut out of the image that contains just the face and record its position. The algorithm does this so that it does not have to perform facial detection on every frame. This is because by recording past frames, we can actually use linear extrapolation to predict future face locations. Since facial detection is the slowest part in this entire algorithm, by being able to skip it occasionally, you can see noticeable performance boosts. In the current implementation, the algorithm skips every second frame and replaces it with this linear extrapolation approach.

Once the algorithm detects a face, it crops and isolates the face so that it can then perform facial landmarking. This increases the accuracy and speed of the facial landmarking procedure tremendously. This process also takes advantage of an algorithm available through dlib that performs facial landmarking using 68 points.

With the face landmarked, one can now use the points to calculate facial metrics.

The entire process and algorithm is in the infer_image function at the bottom of ml.py.

Inference Output#

infer_image(image)
Input: 2D numpy array that represents an image
-Output: tuple of elements

  • roll
  • pitch
  • yaw
  • ear_left
  • ear_right
  • mar
  • mdst
  • left_iris
  • right_iris

Roll, Pitch, Yaw#

These refer to the orientation of the head (in degrees). All three measurements start at a base line where 0 degrees is the subject staring straight into the camera.

ear_left, ear_right#

Eye aspect ratio or ear is a measurement of how open an eye is. Values usually range from 0 to 0.4 where closed is 0 and very open is 0.4.

mar#

Mouth aspect ratio or mar is a measurement of how open the mouth is. Values usually range from 0 to 1 (although it will sometimes cross 1) where closed is 0 and open is 1.

mdst#

Mouth distance or mdst is a measure of the horizontal length of the mouth. (Think of it like a very wide smile versus a puckered kissing action). Values will usually range from 0.2 to 0.5 (although it may cross those boundaries on either side) where 0.2 is a very tight mouth and 0.5 is a very wide mouth.

left_iris, right_iris#

These two iris measurements are not actually numbers but instead an array or collection of four other numbers.

The first two of which are the raw x and y coordinates of the iris in relation to the rest of the image. These two numbers are probably not going to be very useful for most cases except for debugging. The coordinate (0, 0) is the upper left hand of the image.

The next two of which are the left and up ratio values of the pupil. These represent how much to any direction the iris is pointing. The left ratio of the eye determines how much to the left the eye is pointing where 0 is very left and 1 is very right. The up ratio of the eye determines how upwards the eye is pointing where 0 is very down and 1 is very up.

*Note: If it does not find a face, the function returns None instead.

Edit this page
+Output: tuple of elements

Roll, Pitch, Yaw#

These refer to the orientation of the head (in degrees). All three measurements start at a base line where 0 degrees is the subject staring straight into the camera.

ear_left, ear_right#

Eye aspect ratio or ear is a measurement of how open an eye is. Values usually range from 0 to 0.4 where closed is 0 and very open is 0.4.

mar#

Mouth aspect ratio or mar is a measurement of how open the mouth is. Values usually range from 0 to 1 (although it will sometimes cross 1) where closed is 0 and open is 1.

mdst#

Mouth distance or mdst is a measure of the horizontal length of the mouth. (Think of it like a very wide smile versus a puckered kissing action). Values will usually range from 0.2 to 0.5 (although it may cross those boundaries on either side) where 0.2 is a very tight mouth and 0.5 is a very wide mouth.

left_iris, right_iris#

These two iris measurements are not actually numbers but instead an array or collection of four other numbers.

The first two of which are the raw x and y coordinates of the iris in relation to the rest of the image. These two numbers are probably not going to be very useful for most cases except for debugging. The coordinate (0, 0) is the upper left hand of the image.

The next two of which are the left and up ratio values of the pupil. These represent how much to any direction the iris is pointing. The left ratio of the eye determines how much to the left the eye is pointing where 0 is very left and 1 is very right. The up ratio of the eye determines how upwards the eye is pointing where 0 is very down and 1 is very up.

*Note: If it does not find a face, the function returns None instead.

Edit this page
- + diff --git a/index.html b/index.html index 2bffc56..ff6def5 100644 --- a/index.html +++ b/index.html @@ -8,16 +8,16 @@ Hello from openvtuber | openvtuber - +
-

Your Docusaurus site did not load properly.

A very common reason is a wrong site baseUrl configuration.

Current configured baseUrl = / (default value)

We suggest trying baseUrl =

openvtuber

Become a VTuber with just a camera

Get Started
Open Source

Open Source

openvtuber is guaranteed to not share your data with any external sources. Since the code is open source, you can check the code yourself!

Cutting Edge Technology

Cutting Edge Technology

openvtuber uses state of the art AI and machine learning algorithms to figure out how to control a character based on your movements.

Cross-Platform

Cross-Platform

Run the full app on Windows, MacOS and Linux. openvtuber can even send camera data from your phone to your computer.

+

Your Docusaurus site did not load properly.

A very common reason is a wrong site baseUrl configuration.

Current configured baseUrl = / (default value)

We suggest trying baseUrl =

openvtuber

Become a VTuber with just a camera

Get Started
Open Source

Open Source

openvtuber is guaranteed to not share your data with any external sources. Since the code is open source, you can check the code yourself!

Cutting Edge Technology

Cutting Edge Technology

openvtuber uses state of the art AI and machine learning algorithms to figure out how to control a character based on your movements.

Cross-Platform

Cross-Platform

Run the full app on Windows, MacOS and Linux. openvtuber can even send camera data from your phone to your computer.

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