README finalized

Author: GTruf

README.md

@@ -22,7 +22,22 @@
     <li><a href="#overview">Overview</a></li>
     <li><a href="#features">Features</a></li>
     <li><a href="#dependencies">Dependencies</a></li>
-    <li><a href="#building">Building</a></li>
+    <li><a href="#try-it-out">Try it out</a></li>
+    <li><a href="#build">Build</a></li>
+      <ul>
+        <li><a href="#notes-for-linux">Notes for Linux</a></li>
+      </ul>
+    <li><a href="#limitations">Limitations</a></li>
+    <li><a href="#project-screenshots-and-video-snippets">Project screenshots and video snippets</a></li>
+      <ul>
+        <li><a href="#multi-language-interface">Multi-language interface</a></li>
+        <li><a href="#drowsiness-detection">Drowsiness detection</a></li>
+        <li><a href="#fist-gesture">Fist gesture</a></li>
+        <li><a href="#palm-and-v-gestures">Palm and V gestures</a></li>
+        <li><a href="#multiple-cameras">Multiple cameras</a></li>
+        <li><a href="#smart-interaction-with-the-camera">Smart interaction with the camera</a></li>
+        <li><a href="#cross-platform">Cross-platform</a></li>
+      </ul>
   </ul>
 </details>
 
@@ -35,19 +50,129 @@ using facial video surveillance.
 - 🎮 Interactive interaction with the prototype:
   - Start/stop the recognition system
   - Interaction with a video camera
-  - Eye and gesture recognition ([V gesture ✌️](#v-gesture), [Fist gesture ✊](#fist-gesture), [Palm gesture ✋](#palm-gesture))
+  - Eye and gesture recognition ([V gesture ✌️](#palm-and-v-gestures), [Fist gesture ✊](#fist-gesture), [Palm gesture ✋](#palm-and-v-gestures))
   - Warning of a potential emergency situation using warning sound
 - 🚀 Recognition (drowsiness, gestures, etc.) takes approximately one second
 - ⚙️ Multi-language user interface
 - ⚙️ Cross-platform (Windows/Linux)
 - ⚙️ Multithreaded application
 
-## Dependencies (Ninja) TODO
+## Dependencies
 - [C++17](https://en.cppreference.com/w/cpp/17):
-  - 64-bit MSVC since version 19.15 on Windows
-  - 64-bit GCC since version 11.2 on Linux
-- [OpenCV](https://opencv.org/) [4.8.0](https://opencv.org/opencv-4-8-0/)
+  - 64-bit MSVC 19.15 and higher on Windows
+  - 64-bit GCC 11.2 and higher with [Ninja](https://ninja-build.org/) on Linux
+- [CMake](https://cmake.org/) 3.21 and higher
+- [OpenCV](https://opencv.org/) 4.5.4 and higher
 - [Qt](https://www.qt.io/) [6.5.3](https://doc.qt.io/qt-6.5/)
+- [NVIDIA drivers](https://www.nvidia.com/download/index.aspx)
+- [CUDA](https://developer.nvidia.com/cuda-toolkit-archive) with [cuDNN](https://developer.nvidia.com/rdp/cudnn-archive) (more details about the versions below)
 
-## Building
-TODO: Finalize README
+## Try it out
+For convenience, [releases](https://github.com/GTruf/Driver-Drowsiness-Detector/releases) with a fully built project with 
+all the necessary libraries to run are prepared. On Linux, the **DDDetector** executable is located in the **bin** folder.
+
+The project releases use [CUDA 12.2](https://developer.nvidia.com/cuda-toolkit-archive) with [cuDNN v8.9.2 (for Windows) / v8.9.5 (for Linux) for CUDA 12.x](https://developer.nvidia.com/rdp/cudnn-archive)
+(cuDNN libraries are in the release, only CUDA and NVIDIA drivers are mandatory for installation on the computer). 
+**For Windows**, everything installs in a few clicks, you just need to download and run the installers from the official 
+NVIDIA website. **For Linux** (the project was tested on Ubuntu 22.04) you can use [this instruction](https://gist.github.com/denguir/b21aa66ae7fb1089655dd9de8351a202) 
+or others, also take a look at [these notes](#notes-for-linux).
+
+OpenCV libraries have version [4.8.0](https://github.com/opencv/opencv/releases/tag/4.8.0) in the release with support 
+for the following GPU architectures: [5.0, 5.2, 6.0, 6.1, 7.0, 7.5, 8.0, 8.6, 8.9, 9.0](https://en.wikipedia.org/wiki/CUDA#GPUs_supported) and require CUDA/cuDNN of 
+the versions mentioned above.
+
+## Build
+To build and run the project locally, you need to have [Git](https://git-scm.com/downloads), [Python 3.5](https://www.python.org/downloads/) 
+and higher, and all necessary [dependencies](#dependencies) installed on your computer. 
+
+#### Notes for Linux
+1. Need **binutils** and **OpenGL** packages.
+2. On Linux, [RUNPATH is set for the executable](CMakeLists.txt#L85) (libraries are searched for in the **lib64** 
+   folder at level with **bin** in the **Qt6**, **opencv**, **cuda** subfolders), so if you want to, you can put framework 
+   libraries there, so that the linker will try to find them there first.
+
+From your command line:
+
+```shell
+# Clone this repository
+git clone https://github.com/GTruf/Driver-Drowsiness-Detector.git
+
+# Go into the repository folder
+cd Driver-Drowsiness-Detector
+
+# --------------------------
+# Build
+# Template: python/python3 build.py --qt-cmake-prefix-path=<path-to-qt-cmake> --opencv-dir=<path-to-directory-containing-cmake-config-for-opencv> -j <thread-number>
+
+# Examples:
+
+# On Windows
+> python build.py --qt-cmake-prefix-path=C:\Qt\6.5.3\msvc2019_64\lib\cmake --opencv-dir=C:\Development\opencv-4.8.0\build\install -j 8
+
+# On Linux
+$ python3 build.py --qt-cmake-prefix-path=~/Qt/6.5.3/gcc_64/lib/cmake --opencv-dir=/usr/local/lib/cmake/opencv4 -j 8
+
+# Go into the build folder after building the project
+cd build
+
+# --------------------------
+# Run
+
+# Before running, make sure that all dynamic libraries are located 
+# where dynamic library loaders can find them when the executable runs
+
+# On Windows, the executable will be in the build folder and can be opened either via cmd or explorer
+> DDDetector.exe
+
+# On Linux, the executable will be in the build/bin folder
+$ ./bin/DDDetector
+```
+
+## Limitations
+1. The camera class when [selecting the camera device](src/Camera.cpp#L31) **on Windows** selects the **DSHOW** 
+   (otherwise **MSMF**) API, **on Linux** it selects **V4L2**. In combination, the **MJPEG** video compression method is 
+   used. The problem is that not all  video cameras support such combinations, so in the worst case the number of frames 
+   per second from the camera can be very small, in this case you need to choose the right API of the camera together with 
+   the right video compression method.
+2. The repository uses [Git LFS](https://git-lfs.com/) to store some [objects](.gitattributes), so if you can't get something 
+   during the `git lfs pull`, you can download them from the releases or [contact me](https://t.me/glebchanskyy), and 
+   I'll send them to you personally.
+
+## Project screenshots and video snippets
+Just a reminder that you can personally [launch the app](#try-it-out) and try out all of its functionality.
+
+### Multi-language interface
+https://github.com/GTruf/Driver-Drowsiness-Detector/assets/61882182/1e977208-e880-4130-b3bf-fdb5786b7d6f
+
+### Drowsiness detection
+The drowsiness detection takes about 1-1.25 seconds followed by playing the special warning sound signal. The detection 
+is based on the [YOLOv5](https://github.com/ultralytics/yolov5) model trained on a 
+[custom dataset](https://universe.roboflow.com/driver-drowsiness-detector/driver-drowsiness-detector) labeled in [Roboflow](https://roboflow.com/).
+
+https://github.com/GTruf/Driver-Drowsiness-Detector/assets/61882182/6001eaf9-6350-44cd-a1d7-1d8b813267b1
+
+### Fist gesture
+This gesture is used to restart the recognition system.
+
+https://github.com/GTruf/Driver-Drowsiness-Detector/assets/61882182/f136fb00-e578-4086-b81b-cab753ed7f58
+
+### Palm and V gestures
+The **palm** gesture is used to wake up the drowsiness recognition system. The **V** gesture is used to put the drowsiness 
+recognition system into sleep mode.
+
+https://github.com/GTruf/Driver-Drowsiness-Detector/assets/61882182/4c09c42f-8297-4522-a44f-749a1b89e433
+
+### Multiple cameras
+https://github.com/GTruf/Driver-Drowsiness-Detector/assets/61882182/09ea8c27-c5ff-4f9b-a61d-9111b3ae7581
+
+### Smart interaction with the camera
+The application can handle turning off an active camera, no available cameras, and connecting a new camera.
+
+https://github.com/GTruf/Driver-Drowsiness-Detector/assets/61882182/10683440-aeab-4d8f-aa15-a19f68f6010e
+
+### Cross-platform
+The application is cross-platform (Windows/Linux). For Linux, it was tested on Ubuntu 22.04.
+
+<p align="center">
+    <img src="doc/Cross-platform.png" alt="Cross-platform"/>
+</p>