Linspace Python With Advanced Examples
In this tutorial, you will learn about Linspace Python. It is also known as a library for creating numeric sequences (np.linspace) start. This is similar to numpy.arrange() function but the …
[Fixed 2026] AttributeError: List Object Has No Attribute Shape — Solutions
The “AttributeError: ‘list’ object has no attribute ‘shape’” is a Python error message that occurs when you try to access the “shape” attribute of a list object. In this article, …
Attributeerror: module ‘scipy’ has no attribute ‘stats’
It’s understandable to be frustrated when you encounter errors like attributeerror: module ‘scipy’ has no attribute ‘stats’ when you’re working on a Python project. But don’t worry, as in this article …
Attributeerror: module ‘numpy’ has no attribute ‘float’ [SOLVED]
The “attributeerror: module ‘numpy’ has no attribute ‘float’“ is an error message in Python while you are using numpy. It occurs when you are trying to use the float method …
How To Convert NumPy Files To Text Files In Python
In this article, we will discuss the step-by-step process on how to convert numpy files to text files in Python, we will learn in this in our tutorial with the …
FromTimeStamp Python Function with Examples
Python is known for its useful functions, and one of them is fromtimestamp(). Now, this tutorial is all about discovering and understanding how the Python fromtimestamp function works with examples. …
Chr Python | What is chr() in Python
In this tutorial, you will learn about the Python chr() method with the help of examples. We’ll discuss also the differences between chr() and ord() functions in Python. What is …
Attributeerror: ‘dict’ object has no attribute ‘read’ [Solved]
In this article, we will deal with the error attributeerror: ‘dict’ object has no attribute ‘read’. We will look for solutions and discuss what is this error all about. Let’s …
attributeerror: ‘nonetype’ object has no attribute ‘group’
In this article, we will discuss this error in a detailed way and also provide solutions on how to solve the attributeerror: nonetype object has no attribute group. Why the …
Attributeerror: ‘dataframe’ object has no attribute ‘ix’ [SOLVED]
The Attributeerror: ‘dataframe’ object has no attribute ‘ix’ error occurs in Python’s Pandas package when attempting to use the “ix” attribute on a Pandas dataframe object. In this article, we …
Attributeerror: module ‘math’ has no attribute ‘dist’ [SOLVED]
The “attributeerror: module ‘math’ has no attribute ‘dist’“ typically occurs if you are using an outdated version of Python. This is because an older version of Python doesn’t have “dist” …
attributeerror: list object has no attribute lower
In this tutorial, we will discuss on how to solve the attributeerror: ‘list’ object has no attribute ‘lower’ and explain the solutions through step-by-step method. Before we proceed to the …
Attributeerror: ‘dict’ object has no attribute ‘append’
In this article, we will deal with the error attributeerror: ‘dict’ object has no attribute ‘append’. We will look for solutions and discuss what is this error all about. Let’ …
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.