Ultimate Mac Excel Keyboard Shortcuts That You Should Know
Not just Windows has keyboard shortcuts in Excel; Macs have Excel shortcuts too, and that’s what we’re going to show you in this tutorial. These are the most useful Mac …
Celebrate FBS 14th Birthday and Win Big with FBS Ultimate Trading Birthday
FBS, a licensed world Forex broker, is excited to invite its traders to join in the celebration of its 14th birthday with the FBS Ultimate Trading Birthday promo. The event …
PHP String Compare With Examples
The PHP String Compare function is used for comparing two strings. In this article, we will talk about PHP String Compare in a detailed explanation as well as example programs …
PowerPoint Transitions A Beginners Guide
In this article, we will explore the different types of PowerPoint transitions and how they can help you create captivating presentations. PowerPoint is one of the most popular tools for …
Assimilate The Excel Autofit Column Width Shortcut
In this tutorial, we will be able to master the shortcut for Excel autofit column width. This feature is invaluable for organizing data clearly and concisely. Knowing the shortcuts in Excel allows …
How To Use Excel Fill Color Shortcut: A Quick And Easy Guide
Are you looking for a keyboard shortcut that fills colors in Excel? You are lucky enough because this tutorial will explain and show you how to use the Excel fill …
How To Add Animation To PowerPoint Step-by-Step Guide
Are you looking to add a contact of excitement to your presentations? In this article, we will guide you through the process of how to add animation to PowerPoint presentations. …
AttributeError Module ’emoji’ Has No Attribute ‘unicode_emoji’
“AttributeError Module ’emoji’ Has No Attribute ‘unicode_emoji’” is an error message that is raised in python when a specific attribute or method is not found in a module. In this …
Car Driving School Management System in PHP with Source Code
In this article, we will discuss how to run the Car Driving School Management System in PHP. Also, we will discuss the important project features, such as those on the …
Discover The Power Of Excel Autofill Shortcut
In this tutorial, we will discover the shortcut for Excel’s Autofill feature. This feature is invaluable, especially when we are working with a large quantity of data. Knowing the shortcuts in …
How To Select Shape in PowerPoint In Different Ways
In this tutorial, we will show you various methods for selecting shapes in PowerPoint, including clicking on the shape, using the Shift key to select multiple shapes, using the selection …
How to Add, Copy and Delete Text Box in PowerPoint Guide
In this article, we’ll show you how to add, copy, and delete text boxes in PowerPoint, and customize it to suit your presentation needs. Whether you’re a beginner or an …
[SOLVED] TypeError: ‘list’ object is not callable in Python
“TypeError: ‘list’ object is not callable” is a python error message that occurs when you try to call a list as if it were a function. Why TypeError: list object …
Frequently Asked Questions
Are these deep learning projects free for capstone and thesis use?
Yes. All deep learning projects on this hub are free to download, modify, and submit. No attribution required for academic use. Most are MIT-licensed or include source-code packs with sample datasets and pretrained model weights.
What deep learning frameworks do I need installed?
Most projects use OpenCV (cv2) for video capture and image preprocessing, plus one of: TensorFlow / Keras (Caffe model loading via cv2.dnn, custom CNN training), PyTorch (research-style models, YOLO v5+, transformers), or MediaPipe (Google's optimized face/hand/pose detectors). Install with pip install opencv-python tensorflow keras torch torchvision mediapipe numpy. Python 3.10, 3.11, or 3.12 recommended (avoid 3.13 until all wheels catch up).
Do I need a GPU to run these deep learning projects?
For inference (running a pretrained model on your webcam): no, CPU runs at 15-30 FPS for most computer-vision tasks. For training a custom model on your own dataset: GPU strongly recommended (CPU works but is slow). Free GPU options: Google Colab Free (12-hour sessions, sufficient for most BSIT capstones), Kaggle Notebooks Free (30-hour weekly quota), Paperspace Free tier. No need to buy a $1000+ GPU just for a capstone defense.
Deep learning vs classical machine learning, which should I pick for my capstone?
Pick deep learning when your inputs are unstructured (images, audio, video, text) and you have 10,000+ training samples. Pick classical ML (random forest, SVM, logistic regression) for tabular data, small datasets (under 1,000 rows), or when you need explainable predictions for the panel. Many capstones combine both: deep learning for feature extraction (face embedding via FaceNet) plus classical ML on top (SVM classifier for identity matching).
Why is my OpenCV deep learning model running at 2 FPS?
Three usual causes: (1) Resolution too high, resize frames to 640x480 or 320x240 before inference. (2) Wrong cv2.dnn backend, set net.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV) and net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU). (3) Heavy model on weak hardware, swap YOLO v5 for MobileNet-SSD or use Haar cascades for simple face/eye detection. Also close other applications and disable laptop battery-save throttling.
Can I extend a single OpenCV demo into a full BSIT capstone?
Yes, and you should. A standalone webcam demo (face detection alone) is too narrow for capstone scope. Wrap it in a real system: face recognition becomes Real-Time Attendance System with PHP/MySQL dashboard, object detection becomes Smart CCTV Alert System with email notifications, drowsiness detection becomes Driver Monitoring System for fleet vehicles. Add user accounts, database logging, simple admin UI, and write Chapters 1-5 manuscript to satisfy panel requirements.
How often is this deep learning projects list updated?
New deep learning projects are added periodically as we receive student requests and new models become OpenCV-compatible. Last refreshed June 2026 with 19 vision-focused projects covering face recognition, object detection, traffic-sign classification, OCR, and more.