Valueerror too many values to unpack expected 2
One of the errors that programmers often experience is the ValueError: too many values to unpack (expected 2). The error occurs if we try to unpack more values than expected …
Syntaxerror: positional argument follows keyword argument
How to fix the syntaxerror: positional argument follows keyword argument error? In this article, we will answer your question, but first, let’s understand this error and why it happens. It is because …
valueerror: invalid mode: ‘ru’ while trying to load binding.gyp
Are you encountering the ValueError: Invalid mode: ‘ru’ while trying to load binding.gyp error? Don’t worry, you’re not alone! This article will provide you with examples and solutions to solve …
Syntaxerror: unexpected token export
The syntaxerror: unexpected token export usually happens when the program’s module may not be compatible with the program’s environment. In this article, you will learn what this error is all about and …
Valueerror length of values does not match length of index
Are you encountering the ValueError: Length of values does not match length of index error while working with data in Python? Don’t worry, you’re not alone. This error occurs when …
Valueerror: math domain error
Have you experienced a Python ValueError: math domain error while working with mathematical operations in Python? This error typically occurs if we perform an invalid mathematical operation, like attempting to …
Syntaxerror: eol while scanning string literal
Today, we are going to deal with Python syntaxerror: eol while scanning string literal error message. If you are stuck with this error, this article is for you. Continue reading to have …
Importerror: no module named yaml
ImportError: No module named YAML is one of the errors and exceptions that can hinder your code execution. Actually, it is common when working with Python programming language. So in …
Importerror cannot import name bigquery from google cloud unknown location
The “Importerror cannot import name bigquery from google cloud unknown location ” is a common error encountered by developers working with the Google Cloud platform. Actually, it indicates that there …
Importerror initialization failed tensorflow
When working with TensorFlow, you might encounter an error message “ImportError: initialization failed” at some point during your development process. This error can be frustrating, as it prevents you from …
Importerror: no module named setuptools
Have you come across with “ImportError: no module named setuptools” error? Well, this error is one of the errors you might face, indicating that the required setuptools module is missing …
Valueerror: plot_confusion_matrix only supports classifiers
Are you encountering a ValueError: plot_confusion_matrix error while working with classifiers in Python? Don’t worry, you’re not alone. This error typically occurs when attempting to use the plot_confusion_matrix function, and …
Syntaxerror: unexpected eof while parsing
Are you trying to figure out the solution for Python syntaxerror: unexpected eof while parsing? But then, you’re confused about how to resolve it and having a hard time fixing it? Well, …
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.