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This commit introduces a refined layout and styling for the camera streams in the unified web UI. Key changes include: - **Responsive Grid Layout:** Implemented a CSS Grid-based layout for camera feeds, ensuring the color camera occupies 1/3 height and mono cameras 2/3 height. - **Improved Stream Fit:** Adjusted CSS to ensure individual camera streams (visual containers) perfectly fit within their designated borders without cropping, distortion, or excessive transparent space, addressing user feedback regarding "zoomed out" or ill-fitting streams. - **Aesthetic Enhancements:** Removed black backgrounds from stream containers and applied corner radii for a modern look. - **Padding Adjustments:** Optimized padding to prevent UI elements from appearing cramped while maintaining visual separation. - **New Tests:** Added robust visual tests () to programmatically verify layout correctness and ensure tight fitting of camera feeds within their containers. - **Dependency Updates:** Updated to reflect any new or changed Python dependencies. - **Test Runner & Gitignore:** Included script and updated to properly ignore virtual environment artifacts. |
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Pupilometer
Introduction
This repository houses programs and documents related to Pupilometer project by Vietnam Academy of Science and Technology. The project aims to introduce a benchmark and researches into the interaction between light intensity and temperature to the eye strain disorder.
Dependencies
Python Dependencies
The Python dependencies are listed in the requirements.txt file. You can install them using pip:
pip install -r requirements.txt
NVIDIA DeepStream
For running the pupil segmentation on a Jetson Orin AGX or a Windows machine with an NVIDIA GPU, this project uses NVIDIA DeepStream. DeepStream is a complex dependency and cannot be installed via pip.
Please follow the official NVIDIA documentation to install DeepStream for your platform:
- Jetson: DeepStream for Jetson
- Windows: DeepStream for Windows
You will also need to install GStreamer and the Python bindings (PyGObject). These are usually installed as part of the DeepStream installation.
Additionally, the pyds library, which provides Python bindings for DeepStream metadata structures, is required. This library is also included with the DeepStream SDK and may need to be installed manually.