Modulenotfounderror: no module named ‘cx_oracle’ [Fixed]
In this article, we will show to solve Modulenotfounderror: no module named cx_oracle. Along with we will look into the causes of this error as well as understand this error. …
Modulenotfounderror no module named stringio
![Modulenotfounderror no module named stringio [SOLVED]](https://itsourcecode.com/wp-content/uploads/2023/03/modulenotfounderror-no-module-named-stringio-768x473.png)
In this article, we will show you how to solve the modulenotfounderror no module named stringio in Python. This error indicates that the stringIO module is not installed in your …
What is Python bisect Module? How it Works?
What is bisect in Python? Python bisect is a module under the bisect algorithm that enables programmers to maintain the list’s sort order after inserting each element. This is important …
Ord Python Syntax, Usage And Example Programs
Python is a leading programming language for its useful functions and potential for machine learning and data analysis. One of its helpful functions is the ord(). This tutorial provides the …
Modulenotfounderror: no module named xlsxwriter
In this article, you will learn the solutions to resolve the error modulenotfounderror: no module named ‘xlsxwriter’. Table of contents What is xlsxwriter? Why the no module named ‘xlsxwriter’ occur? …
Jupyter Notebook Modulenotfounderror [FIXED]
In this article, we will fix Jupyter Notebook Modulenotfounderror. Also, we will give common causes of why we encounter this error. But before that, we will give a brief discussion …
Modulenotfounderror no module named ‘xgboost’ jupyter notebook
In this article, we will show you the solutions for modulenotfounderror no module named ‘xgboost’ jupyter notebook. This is a common error usually experienced when you are a developer or …
Python Inconsistent Use of tabs and spaces in indentation
The main goal of this tutorial is to let you know what inconsistent use of tabs and spaces in indentation Python is. Additionally, indentation means a number of spaces and tabs …
Modulenotfounderror: no module named ‘selenium’
In this tutorial, you will learn the solutions on how to solve the modulenotfounderror: no module named selenium. Table of contents What is Selenium? What is modulenotfounderror? What are the …
Modulenotfounderror no module named serial
In this article, we will show solutions for Modulenotfounderror no module named serial error which will help to fix it. Aside from that, we will look into the causes of …
Modulenotfounderror: no module named ‘tensorboardx’
Are you currently facing this modulenotfounderror: no module named ‘tensorboardx’ error message? Well, in this article we will walk you through the solution to this error that will help you …
Modulenotfounderror: no module named ‘distutils.msvccompiler’
Are you having trouble solving the modulenotfounderror: no module named ‘distutils.msvccompiler’ in Python? This error may sound complicated, but don’t worry; we will help you solve it. In this article, …
Modulenotfounderror no module named torch [SOLVED]
In this article, we will discuss the solutions on how to solve the modulenotfounderror: no module named ‘torch’ error which is encountered of programmers who are new to python programming …
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.