This is an update to faceit_live using first order model

alew3, updated 🕥 2022-12-08 04:01:03

faceit_live3

This is an update to http://github.com/faceit_live using first order model by Aliaksandr Siarohin to generate the images. This model only requires a single image, so no training is needed and things are much easier. I've included instructions on how to set it up under Windows 10 and Linux.

Demo

Here is a video of the program running. It uses a single image I took from my friend's Facebook page!

Setup

Requirements

This has only been tested on Ubuntu 18.04 and Win 10 with a Titan RTX/X GPU. You will need the following to make it work:

Linux host OS / Win 10
NVidia fast GPU (GTX 1080, GTX 1080i, Titan, etc ...)
Fast Desktop CPU (Quad Core or more)
Webcam

Clone this repository

Don't forget to use the --recurse-submodules parameter to checkout all dependencies. In Windows you might need to install a Git Client.

$ git clone --recurse-submodules https://github.com/alew3/faceit_live3.git

Download 'vox-adv-cpk.pth.tar' to /model folder

You can find it at: google-drive or yandex-disk.

Install NVidia Deep Learning Drivers / Libs

Install the latest Nvidia video driver then the Deep Learning infrastructure:

NVidia CUDA 10.1 driver - 2.6GB Download!
cuDNN version for CUDA 10.1 - you will need to register to download it.

Other versions might work, but I haven't tested them.

Install Anaconda Environment

Dowload and install Anaconda

Create an Anaconda environment and install requirements

$ conda create -n "faceit_live3" python=3.8 $ conda activate faceit_live3 $ conda install pytorch=1.4 torchvision=0.5 cudatoolkit=10.1 -c pytorch $ pip install -r requirements.txt

Setup Windows Version

Setup Virtual Camera for streaming

Download OBS Studio for Win and install it, afterwards install the OBS Virtual CAM plugin by following instructions on the page.

After you install Virtual CAM. - Create a Scene - Add a Window Capture item to Sources and select the "Stream Window" - Add a Filter to the Window Capture by right clicking and selecting Filters, then "+" and choose Virtual CAM - Start the Virtual CAM from the Tools Menu

Select the OBSCAM

Open Firefox and joing Google Hangout to test it, don't forget to choose the OBS CAM from the camera options under settings.

Select the OBSCAM

Setup Linux Version

To use the fake webcam feature to enter conferences with our stream we need to insert the v4l2loopback kernel module in order to create /dev/video1. Follow the install instructions at (https://github.com/umlaeute/v4l2loopback), then let's setup our fake webcam:

$ git clone https://github.com/umlaeute/v4l2loopback.git $ make && sudo make install $ sudo depmod -a $ sudo modprobe v4l2loopback devices=1 $ sudo modprobe v4l2loopback exclusive_caps=1 card_label="faceit_live" video_nr=1 $ v4l2-ctl -d /dev/video1 -c timeout=1000

Change the video_nr above in case you already have a webcam running on /dev/video1

To check if things are working, try running an mp4 to generate a video the /dev/video1 (replace ale.mp4 with your own video). $ ffmpeg -re -i media/ale.mp4 -f v4l2 /dev/video1 -loop 10 And view it $ ffplay -f v4l2 /dev/video1

On Ubuntu 18, I had to make a minor change to the source code of v4l2loopback.c to get loopback working. In case the above doesn't work, you can try this change before running make :

```

v4l2loopback.c

from

if LINUX_VERSION_CODE >= KERNEL_VERSION(2, 6, 29)

if LINUX_VERSION_CODE >= KERNEL_VERSION(3,7,0)

```

You can also inspect your /dev/video* devices:

``` $ v4l2-ctl --list-devices $ v4l2-ctl --list-formats -d /dev/video1

```

Mac Support

Unfortunately, Apple and NVidia have stopped collaborating and CUDA support is no longer available for the Mac. On the Mac it will be very slow as everything will be running on the CPU with no GPU support.

Images

Put in the /media directory the images in jpg/png you want to play with. Squared images that have just a face filling most of the space will work better.

Run the program

$ conda activate faceit_live3 $ python faceit_live.py

Parameters

--system # win or linux (default is win)
--webcam_id # the videoid of the Webcam e.g. 0 if /dev/video0 (default is 0)
--stream_id # only used in Linux. Set the /dev/video number to stream to (default is 1)
--gpu_id # for multiple GPU setups, select which GPU to use (default is 0)

Example

$ python faceit_live.py --webcam_id 0 --stream_id 1 --gpu_id 0 --system linux

Key Shortcuts when running

B - cycle previous image in media folder N - cycle next image in media folder C - recenter webcam and create a new base image T - option to alter between 'Relative' and 'Absolute' transformations mode Q - to quit and close all Windows

Tip

For better results, look into the webcam when starting the program or when pressing C, as this will create a base image from your face that is used for the transformation. Move away and closer to the webcam to find the ideal distance for better results.

Troubleshooting

Slow

If it is running slow, check that it is running on the GPU using the nvidia-smi command. The Windows Task Manager doesn't report the GPU usage correctly. (Add C:\Program Files\NVIDIA Corporation\NVSMI to your Windows Path to find the command).

Error

If you get the error below under LINUX, it means you haven't started your v4l2loopback. cv2.error: OpenCV(4.2.0) /io/opencv/modules/imgproc/src/resize.cpp:4045: error: (-215:Assertion failed) !ssize.empty() in function 'resize'

Multiple GPU

If you have more than one GPU, you might need to set some environment variables: ```

specify which display to use for rendering (Linux)

$ export DISPLAY=:1

which CUDA DEVICE to use (run nvidia-smi to discover the ID)

$ export CUDA_VISIBLE_DEVICES=0 (LINUX) or $ SET CUDA_VISIBLE_DEVICES=0,1 (WIN)

```

Issues

Bump certifi from 2019.11.28 to 2022.12.7

opened on 2022-12-08 04:01:03 by dependabot[bot]

Bumps certifi from 2019.11.28 to 2022.12.7.

Commits

9e9e840 2022.12.07
b81bdb2 2022.09.24
939a28f 2022.09.14
aca828a 2022.06.15.2
de0eae1 Only use importlib.resources's new files() / Traversable API on Python ≥3.11 ...
b8eb5e9 2022.06.15.1
47fb7ab Fix deprecation warning on Python 3.11 (#199)
b0b48e0 fixes #198 -- update link in license
9d514b4 2022.06.15
4151e88 Add py.typed to MANIFEST.in to package in sdist (#196)
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Bump pillow from 7.0.0 to 9.3.0

opened on 2022-11-22 05:28:09 by dependabot[bot]

Bumps pillow from 7.0.0 to 9.3.0.

Release notes

Sourced from pillow's releases.

9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

Initialize libtiff buffer when saving #6699 [@radarhere]

Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@wiredfool]

Inline fname2char to fix memory leak #6329 [@nulano]

Fix memory leaks related to text features #6330 [@nulano]

Use double quotes for version check on old CPython on Windows #6695 [@hugovk]

GHA: replace deprecated set-output command with GITHUB_OUTPUT file #6697 [@nulano]

Remove backup implementation of Round for Windows platforms #6693 [@cgohlke]

Upload fribidi.dll to GitHub Actions #6532 [@nulano]

Fixed set_variation_by_name offset #6445 [@radarhere]

Windows build improvements #6562 [@nulano]

Fix malloc in _imagingft.c:font_setvaraxes #6690 [@cgohlke]

Only use ASCII characters in C source file #6691 [@cgohlke]

Release Python GIL when converting images using matrix operations #6418 [@hmaarrfk]

Added ExifTags enums #6630 [@radarhere]

Do not modify previous frame when calculating delta in PNG #6683 [@radarhere]

Added support for reading BMP images with RLE4 compression #6674 [@npjg]

Decode JPEG compressed BLP1 data in original mode #6678 [@radarhere]

pylint warnings #6659 [@marksmayo]

Added GPS TIFF tag info #6661 [@radarhere]

Added conversion between RGB/RGBA/RGBX and LAB #6647 [@radarhere]

Do not attempt normalization if mode is already normal #6644 [@radarhere]

Fixed seeking to an L frame in a GIF #6576 [@radarhere]

Consider all frames when selecting mode for PNG save_all #6610 [@radarhere]

Don't reassign crc on ChunkStream close #6627 [@radarhere]

Raise a warning if NumPy failed to raise an error during conversion #6594 [@radarhere]

Only read a maximum of 100 bytes at a time in IMT header #6623 [@radarhere]

Show all frames in ImageShow #6611 [@radarhere]

Allow FLI palette chunk to not be first #6626 [@radarhere]

If first GIF frame has transparency for RGB_ALWAYS loading strategy, use RGBA mode #6592 [@radarhere]

Round box position to integer when pasting embedded color #6517 [@radarhere]

Removed EXIF prefix when saving WebP #6582 [@radarhere]

Pad IM palette to 768 bytes when saving #6579 [@radarhere]

Added DDS BC6H reading #6449 [@ShadelessFox]

Added support for opening WhiteIsZero 16-bit integer TIFF images #6642 [@JayWiz]

Raise an error when allocating translucent color to RGB palette #6654 [@jsbueno]

Moved mode check outside of loops #6650 [@radarhere]

Added reading of TIFF child images #6569 [@radarhere]

Improved ImageOps palette handling #6596 [@PososikTeam]

Defer parsing of palette into colors #6567 [@radarhere]

Apply transparency to P images in ImageTk.PhotoImage #6559 [@radarhere]

Use rounding in ImageOps contain() and pad() #6522 [@bibinhashley]

Fixed GIF remapping to palette with duplicate entries #6548 [@radarhere]

Allow remap_palette() to return an image with less than 256 palette entries #6543 [@radarhere]

Corrected BMP and TGA palette size when saving #6500 [@radarhere]

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

Initialize libtiff buffer when saving #6699 [radarhere]

Inline fname2char to fix memory leak #6329 [nulano]

Fix memory leaks related to text features #6330 [nulano]

Use double quotes for version check on old CPython on Windows #6695 [hugovk]

Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

Fixed set_variation_by_name offset #6445 [radarhere]

Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

Added ExifTags enums #6630 [radarhere]

Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

Added GPS TIFF tag info #6661 [radarhere]

Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

Commits

d594f4c Update CHANGES.rst [ci skip]
909dc64 9.3.0 version bump
1a51ce7 Merge pull request #6699 from hugovk/security-libtiff_buffer
2444cdd Merge pull request #6700 from hugovk/security-samples_per_pixel-sec
744f455 Added release notes
0846bfa Add to release notes
799a6a0 Fix linting
00b25fd Hide UserWarning in logs
05b175e Tighter test case
13f2c5a Prevent DOS with large SAMPLESPERPIXEL in Tiff IFD
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Bump joblib from 0.14.1 to 1.2.0

opened on 2022-09-30 18:55:05 by dependabot[bot]

Bumps joblib from 0.14.1 to 1.2.0.

Changelog

Sourced from joblib's changelog.

Release 1.2.0

Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

Vendor loky 3.3.0 which fixes several bugs including:

robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

avoiding leaking worker processes in case of nested loky parallel calls;

reliability spawn the correct number of reusable workers.

Release 1.1.0

Fix byte order inconsistency issue during deserialization using joblib.load in cross-endian environment: the numpy arrays are now always loaded to use the system byte order, independently of the byte order of the system that serialized the pickle. joblib/joblib#1181

Fix joblib.Memory bug with the ignore parameter when the cached function is a decorated function.

... (truncated)

Commits

5991350 Release 1.2.0
3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
cea26ff CI test the future loky-3.3.0 branch (#1338)
8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
ac4ebd5 MAINT add back pytest warnings plugin (#1337)
a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
ac09691 [MAINT] various test updates (#1334)
4a314b1 Vendor loky 3.2.0 (#1333)
bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
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Bump nbconvert from 5.6.1 to 6.5.1

opened on 2022-08-23 18:07:32 by dependabot[bot]

Bumps nbconvert from 5.6.1 to 6.5.1.

Release notes

Sourced from nbconvert's releases.

Release 6.5.1

No release notes provided.

6.5.0

What's Changed

Drop dependency on testpath. by @anntzer in jupyter/nbconvert#1723

Adopt pre-commit by @blink1073 in jupyter/nbconvert#1744

Add pytest settings and handle warnings by @blink1073 in jupyter/nbconvert#1745

Apply Autoformatters by @blink1073 in jupyter/nbconvert#1746

Add git-blame-ignore-revs by @blink1073 in jupyter/nbconvert#1748

Update flake8 config by @blink1073 in jupyter/nbconvert#1749

support bleach 5, add packaging and tinycss2 dependencies by @bollwyvl in jupyter/nbconvert#1755

[pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in jupyter/nbconvert#1752

update cli example by @leahecole in jupyter/nbconvert#1753

Clean up pre-commit by @blink1073 in jupyter/nbconvert#1757

Clean up workflows by @blink1073 in jupyter/nbconvert#1750

New Contributors

@pre-commit-ci made their first contribution in jupyter/nbconvert#1752

Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.5...6.5

6.4.3

What's Changed

Add section to customizing showing how to use template inheritance by @stefanv in jupyter/nbconvert#1719

Remove ipython genutils by @rgs258 in jupyter/nbconvert#1727

Update changelog for 6.4.3 by @blink1073 in jupyter/nbconvert#1728

New Contributors

@stefanv made their first contribution in jupyter/nbconvert#1719

@rgs258 made their first contribution in jupyter/nbconvert#1727

Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.2...6.4.3

6.4.0

What's Changed

Optionally speed up validation by @gwincr11 in jupyter/nbconvert#1672

Adding missing div compared to JupyterLab DOM structure by @SylvainCorlay in jupyter/nbconvert#1678

Allow passing extra args to code highlighter by @yuvipanda in jupyter/nbconvert#1683

Prevent page breaks in outputs when printing by @SylvainCorlay in jupyter/nbconvert#1679

Add collapsers to template by @SylvainCorlay in jupyter/nbconvert#1689

Fix recent pandoc latex tables by adding calc and array (#1536, #1566) by @cgevans in jupyter/nbconvert#1686

Add an invalid notebook error by @gwincr11 in jupyter/nbconvert#1675

Fix typos in execute.py by @TylerAnderson22 in jupyter/nbconvert#1692

Modernize latex greek math handling (partially fixes #1673) by @cgevans in jupyter/nbconvert#1687

Fix use of deprecated API and update test matrix by @blink1073 in jupyter/nbconvert#1696

Update nbconvert_library.ipynb by @letterphile in jupyter/nbconvert#1695

Changelog for 6.4 by @blink1073 in jupyter/nbconvert#1697

New Contributors

... (truncated)

Commits

7471b75 Release 6.5.1
c1943e0 Fix pre-commit
8685e93 Fix tests
0abf290 Run black and prettier
418d545 Run test on 6.x branch
bef65d7 Convert input to string prior to escape HTML
0818628 Check input type before escaping
b206470 GHSL-2021-1017, GHSL-2021-1020, GHSL-2021-1021
a03cbb8 GHSL-2021-1026, GHSL-2021-1025
48fe71e GHSL-2021-1024
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Bump mistune from 0.8.4 to 2.0.3

opened on 2022-07-29 23:05:50 by dependabot[bot]

Bumps mistune from 0.8.4 to 2.0.3.

Release notes

Sourced from mistune's releases.

Version 2.0.2

Fix escape_url via lepture/mistune#295

Version 2.0.1

Fix XSS for image link syntax.

Version 2.0.0

First release of Mistune v2.

Version 2.0.0 RC1

In this release, we have a Security Fix for harmful links.

Version 2.0.0 Alpha 1

This is the first release of v2. An alpha version for users to have a preview of the new mistune.

Changelog

Sourced from mistune's changelog.

Changelog

Here is the full history of mistune v2.

Version 2.0.4
Released on Jul 15, 2022

Fix url plugin in &lt;a&gt; tag
Fix * formatting

Version 2.0.3
Released on Jun 27, 2022

Fix table plugin

Security fix for CVE-2022-34749

Version 2.0.2
Released on Jan 14, 2022
Fix escape_url
Version 2.0.1
Released on Dec 30, 2021

XSS fix for image link syntax.

Version 2.0.0
Released on Dec 5, 2021
This is the first non-alpha release of mistune v2.
Version 2.0.0rc1
Released on Feb 16, 2021

Version 2.0.0a6
</tr></table> 

... (truncated)

Commits

3f422f1 Version bump 2.0.3
a6d4321 Fix asteris emphasis regex CVE-2022-34749
5638e46 Merge pull request #307 from jieter/patch-1
0eba471 Fix typo in guide.rst
61e9337 Fix table plugin
76dec68 Add documentation for renderer heading when TOC enabled
799cd11 Version bump 2.0.2
babb0cf Merge pull request #295 from dairiki/bug.escape_url
fc2cd53 Make mistune.util.escape_url less aggressive
3e8d352 Version bump 2.0.1
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Bump numpy from 1.18.1 to 1.22.0

opened on 2022-06-22 01:40:48 by dependabot[bot]

Bumps numpy from 1.18.1 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.

A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.

NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.

New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.

A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release
fd66547 REL: Prepare for the NumPy 1.22.0 release.
125304b wip
c283859 Merge pull request #20682 from charris/backport-20416
5399c03 Merge pull request #20681 from charris/backport-20954
f9c45f8 Merge pull request #20680 from charris/backport-20663
794b36f Update armccompiler.py
d93b14e Update test_public_api.py
7662c07 Update init.py
311ab52 Update armccompiler.py
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Alessandro Cauduro

Technology and sports enthusiast. CDXO @ Azion, Edge Computing Platform.

GitHub Repository

This is an update to faceit_live using first order model

faceit_live3

Demo

Setup

Requirements

Clone this repository

Download 'vox-adv-cpk.pth.tar' to /model folder

Install NVidia Deep Learning Drivers / Libs

Install Anaconda Environment

Create an Anaconda environment and install requirements

Setup Windows Version

Setup Virtual Camera for streaming

Setup Linux Version

v4l2loopback.c

if LINUX_VERSION_CODE >= KERNEL_VERSION(2, 6, 29)

if LINUX_VERSION_CODE >= KERNEL_VERSION(3,7,0)

Mac Support

Images

Run the program

Parameters

Example

Key Shortcuts when running

Tip

Troubleshooting

Slow

Error

Multiple GPU

specify which display to use for rendering (Linux)

which CUDA DEVICE to use (run nvidia-smi to discover the ID)

Issues

Bump certifi from 2019.11.28 to 2022.12.7

Bump pillow from 7.0.0 to 9.3.0

9.3.0

Changes

9.3.0 (2022-10-29)

Bump joblib from 0.14.1 to 1.2.0

Release 1.2.0

Release 1.1.0

Bump nbconvert from 5.6.1 to 6.5.1

Release 6.5.1

6.5.0

What's Changed

New Contributors

6.4.3

What's Changed

New Contributors

6.4.0

What's Changed

New Contributors

Bump mistune from 0.8.4 to 2.0.3

Version 2.0.2

Version 2.0.1

Version 2.0.0

Version 2.0.0 RC1

Version 2.0.0 Alpha 1

Changelog

Bump numpy from 1.18.1 to 1.22.0

v1.22.0

NumPy 1.22.0 Release Notes

Expired deprecations

Deprecated numeric style dtype strings have been removed

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

Alessandro Cauduro

Expired deprecations for `loads`, `ndfromtxt`, and `mafromtxt` in npyio