Attributeerror: module ‘cv2’ has no attribute ‘xfeatures2d’
This time we will discuss the solutions for attributeerror: module ‘cv2’ has no attribute ‘xfeatures2d’. Apart from it, we will learn what this error is all about. Before we dive …
Attributeerror: float object has no attribute split [SOLVED]
![Attributeerror: float object has no attribute split [SOLVED]](https://itsourcecode.com/wp-content/uploads/2023/03/Attributeerror-float-object-has-no-attribute-split-SOLVED-768x473.png)
In this article, we will show you how to solve the error attributeerror: float object has no attribute split in Python. What does this error indicate, and why does it …
[Fixed] Pandas ‘Can only use .dt accessor with datetimelike values’ Error
In this article, we will explain the solutions on how to solve can only use .dt accessor with datetimelike values? What are the causes and why it is occur. Why …
Attributeerror: ‘nonetype’ object has no attribute ‘split’ [SOLVED]
The “attributeerror: ‘nonetype’ object has no attribute ‘split’“ is an error message that occurs when you are trying to access the split() method on a variable or object that has …
Attributeerror: ‘module’ object has no attribute ‘run’ [SOLVED]
This time we will discuss the solutions for attributeerror: ‘module’ object has no attribute ‘run’. Apart from it, we will learn what this error is all about. Before we dive …
Python Min Function Simple Implementation
This tutorial focuses on the topic Python min() function and simplifies its implementation through example programs. Python is a very flexible language and acquires a lot of users nowadays. To …
Permute In Python (Explanation With Examples)
In this article, we will talk about Permute in Python which is one of the important and useful topics, Permute refers to a process by which we can arrange a …
attributeerror int object has no attribute split
As a Python programmer, you may have experienced the error message “AttributeError: ‘int’ object has no attribute ‘split’“. This error can be frustrating, exclusively if you don’t understand what it …
Attributeerror: nonetype object has no attribute shape
In this article, we will show you how to solve the error attributeerror: ‘nonetype’ object has no attribute ‘shape’. What does this error indicate and why does it occur? If …
Python Match Case with Code Example
With the release of Python Programming Language 3.10, several new features were added, one of which was the Python match case. Python’s match case works like the switch case statement. This is …
Attributeerror str object has no attribute get [SOLVED]
In this article, you’ll discover the solution for the “attributeerror ‘str’ object has no attribute ‘get‘” error message. This error message indicates that you are attempting to use a method …
Module ‘pkginfo.distribution’ has no attribute ‘must_decode’
If you are working with the Python programming language, it is not uncommon to encounter errors, which can be frustrating, especially if you are not familiar with the issue. The …
Module ‘collections’ has no attribute ‘mutablemapping’
In this article, we will discuss solutions in attributeerror: module ‘collections’ has no attribute ‘mutablemapping’. We will also look at the causes, and briefly discuss this error. Let’s get started! …
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.