QHuman

Open-source software in QHuman

QHuman includes six open-source components made by others. Each one is offered to you under its own licence, named with it below. Here you can download the complete source code for the exact version that ships in QHuman, check each file against its SHA-256, or ask for a copy by email.

The components are included unmodified. This software is published by Tryhard Infinity, LLC, the maker of QHuman.

Versions are those in the current release of QHuman, as listed in the licence notices file installed with the app. Last updated: October 21, 2026.

ComponentVersionLicence
JBIG-KIT2.1GPL-2.0-or-later
GNU libiconv1.17LGPL-2.1-or-later
PyQt66.7.1GPL v3
Qt6.7.3LGPL v3
pynput1.7.8LGPL v3
Ultralytics, with the YOLOv8n model8.4.79AGPL-3.0

JBIG-KIT

2.1

Included inside QHuman's text-recognition engine.

GNU General Public License, version 2 or any later version (GPL-2.0-or-later). Full text at gnu.org

Source code

mingw-w64-jbigkit-2.1-5.src.tar.zst443,510 bytesDownload

The MSYS2 source package for JBIG-KIT 2.1 (package release 5), which holds the original source and the build recipe used to build the copy in QHuman.

SHA-256

402e264e13ffd10424d3217e83076d9e1e3ab0db16303a33d42a4bd4cda4088b

GNU libiconv

1.17

Included inside QHuman's text-recognition engine.

GNU Lesser General Public License, version 2.1 or any later version (LGPL-2.1-or-later). Full text at gnu.org

Source code

libiconv-1.17.tar.gz5,413,283 bytesDownload

SHA-256

8f74213b56238c85a50a5329f77e06198771e70dd9a739779f4c02f65d971313

Signature file

libiconv-1.17.tar.gz.sig833 bytesDownload

The GnuPG signature for the archive above.

SHA-256

06d1357471c445eb6c0b6a568b79dac3f46003b9efcb5fee2208aad33fc54cab

Build recipe

mingw-w64-libiconv-1.17-4-recipe-093ab192.zip4,547 bytesDownload

The MSYS2 build script and patches used to build the copy in QHuman (MSYS2 MINGW-packages, commit 093ab192).

SHA-256

1eacbfa7132faef1fca5c56c6217242a5c1beb8cb456808234f87d9156f7c63b

PyQt6

6.7.1

GNU General Public License, version 3 (GPL v3). Full text at gnu.org

Source code

PyQt6-6.7.1.tar.gz1,051,212 bytesDownload

SHA-256

3672a82ccd3a62e99ab200a13903421e2928e399fda25ced98d140313ad59cb9

Qt

6.7.3

GNU Lesser General Public License, version 3 (LGPL v3). Full text at gnu.org

Source code

qt-everywhere-src-6.7.3.tar.xz936,198,060 bytes (about 936 MB)

This file is on Qt's own download server, not on this site. The link below leaves tryhardinfinity.com.

Download from download.qt.io ↗
https://download.qt.io/archive/qt/6.7/6.7.3/single/qt-everywhere-src-6.7.3.tar.xz

SHA-256

a3f1d257cbb14c6536585ffccf7c203ce7017418e1a0c2ed7c316c20c729c801

pynput

1.7.8

GNU Lesser General Public License, version 3 (LGPL v3). Full text at gnu.org

Source code

pynput-1.7.8-source-tag-v1.7.8.tar.gz92,778 bytesDownload

SHA-256

f1ce5ae1cc94c6520003e5dee71a6f22d2f0690499f13a30a814cdeb6fc4d37d

Ultralytics, with the YOLOv8n detection model

8.4.79

GNU Affero General Public License, version 3 (AGPL-3.0). Full text at gnu.org

Source code

ultralytics-8.4.79.tar.gz1,117,761 bytesDownload

SHA-256

93af6f7fa111eefcda79f5400fac209e9351b501b0b8467e97571dada10a3a16

Model checkpoint

yolov8n.pt6,549,796 bytesDownload

SHA-256

f59b3d833e2ff32e194b5bb8e08d211dc7c5bdf144b90d2c8412c47ccfc83b36

How the shipped model was made

Export command
python -c "from ultralytics import YOLO; YOLO('yolov8n.pt').export(format='onnx', imgsz=640, opset=12)"
Exported with
PyTorch 2.12.1 and Ultralytics 8.4.79 (ONNX IR version 7, opset 12, 640 by 640 input)
Training data
COCO 2017, from cocodataset.org/#download (leaves this site)

Get a copy by email

Email support@tryhardinfinity.com and name the component and version you want. We will send you its complete source code.

Anyone can ask, for at least three years from the last time that version shipped in QHuman.