Attributeerror: ‘series’ object has no attribute ‘split’
The “attributeerror: series object has no attribute split” is an error message that is raised when you are trying to use the split() method on a Pandas Series object. If …
Python Constants With Advanced Examples
In this tutorial, you will learn about Python Constants. A constant is a kind of variable that has unchangeable values during execution time. In fact, constants in Python are rarely …
Type object ‘datetime.datetime’ has no attribute ‘timedelta’
In this article, we will provide you with the solution to the error “attributeerror: type object ‘datetime.datetime’ has no attribute ‘timedelta’.” Wondering what this error is and why it occurs? …
attributeerror: ‘str’ object has no attribute ‘values’
As a Python developer, you might have encountered this error message “AttributeError: ‘str’ object has no attribute ‘values’“. This error typically occurs when you are trying to access a non-existent …
Attributeerror: module ‘whois’ has no attribute ‘whois’
Having difficulties fixing Attributeerror: module ‘whois’ has no attribute ‘whois’ in your python code? Don’t worry, this article is for you. In this article, we will discuss the possible causes …
Attributeerror: ‘dataframe’ object has no attribute ‘write’ [SOLVED]
In this article, we will take a closer look at this error Attributeerror: ‘dataframe’ object has no attribute ‘write’. Moreover, we will show you various solutions as well as possible …
‘tfidfvectorizer’ object has no attribute ‘get_feature_names’
The attributeerror: ‘tfidfvectorizer’ object has no attribute ‘get_feature_names’ is an error message while working with tfidfvectorizer in Python. This error indicates that there is an issue with the get_feature_names() method …
Const In Python In Simple Words
Most of the time, in any programming language, we store values in variables. But what if we don’t want to change the values of those variables for the whole program? …
attributeerror: __exit__
It is very common to encounter errors when you are trying to create a new program in Python. One of the most common errors in Python is the AttributeError: exit. In …
Typeerror: webelement object is not iterable
Encountering “Typeerror: webelement object is not iterable” error in your python codes and doesn’t know why it occurs and doesn’t know how to fix it? Worry no more! and read …
Module importlib._bootstrap has no attribute sourcefileloader
In this article, we will talk about the error “attributeerror: module importlib._bootstrap has no attribute sourcefileloader” in Python. In addition, we’ll also provide you with how to solve this error. …
Attributeerror nonetype object has no attribute text [SOLVED]
In this article, we will take a closer look at this error Attributeerror nonetype object has no attribute text solutions and what it means. Let’s get started! What is Attributeerror …
Typeerror byte indices must be integers or slices not str [SOLVED]
The “typeerror byte indices must be integers or slices not str” is an error message that typically occurs in Python. If you’ve encountered this error message, you’re probably wondering what …
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.