How to check if a function exists in JavaScript? – Solutions
Today, we are going to deal with Javascript check if a function exists on object so that you can avoid any possible errors. Checking if a function exists in JavaScript is …
Valueerror: unsupported pickle protocol: 5
This Valueerror: unsupported pickle protocol: 5 error usually occurs if there is an attempt to unpickle an object that was serialized using a higher pickle protocol version than what is …
Valueerror: unknown projection ‘3d’
One of the error that developers often encounter is the ValueError: unknown projection ‘3d’. This error typically occurs when we are attempting to create a 3D plot or visualization using …
Variable might not have been initialized JavaScript
Wondering why the variable might not have been initialized JavaScript, a Java error message occurred? In JavaScript, when you declare a variable without assigning a value to it, the variable is automatically …
Valueerror out of range float values are not json compliant
When you are working with JSON data, it is not inevitable that you may encounter an error message like ValueError: Out of range float values are not JSON compliant. Understanding …
Valueerror mountpoint must not already contain files
This Valueerror: mountpoint must not already contain files error typically occurs if we are trying to mount a file system to a directory that already contains files. In this article, …
Valueerror: unknown label type: ‘unknown’
In programming, encountering errors is a common existence. These errors sometimes can be incomprehensible and challenging to understand, especially for beginners. One of the error that developers often come across …
Valueerror: source code string cannot contain null bytes
One of the errors that developers often encounter is the ValueError: Source Code String Cannot Contain Null Bytes. The error message “ValueError: source code string cannot contain null bytes” typically …
How to use JavaScript Zip Function with two or more Arrays?
Learn how to use the jszip or the JavaScript zip function to combine multiple arrays into a single array. This article provides easy-to-follow instructions and examples to help you understand and utilize …
Jsonpath in Javascript Functionality And Use Cases
JSONPath in JavaScript is a handy tool that allows developers to easily navigate and query complex JSON structures. It provides a simple and concise syntax, making it convenient to work …
Break from foreach Javascript Techniques To Use
In this article, we will explore various techniques to achieve a break from foreach loop in JavaScript and understand the benefits and best practices associated with each method. JavaScript is …
Javascript Double Exclamation Mark How To Use It
Are you curious about the Javascript double exclamation mark and how it can be used in your code? Look no further! In this comprehensive guide, we will delve into the …
Mastering JavaScript setDate() Method: The Ultimate Guide
If you are wondering what is Javascript date setDate() and how to use the set date method? You must keep on reading! This article delves into the setDate() method in JavaScript, and we will …
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.