Runtimeerror: cuda out of memory.
This error message Runtimeerror: cuda out of memory is often encountered when the system is not able to allocate enough memory on the GPU to complete the requested operation. In …
[Fixed] NameError: Name Spark Is Not Defined in Python
Are you dealing with Python nameerror: name ‘spark’ is not defined error message right now? And you’re having a hard time trying to figure out how to fix the name ‘spark’ is …
[Fixed] NameError: Name List Is Not Defined in Python
The Python nameerror: name ‘list’ is not defined error message can be frustrating if you don’t know how to fix it. Luckily, in this article, we’ll discuss the solutions for nameerror name list …
Runtimeerror: this event loop is already running
The runtimeerror: this event loop is already running error is a common error that developers may encounter when working with asyncio in Python. This error message typically occurs when you …
[Fixed] NameError: Name File Is Not Defined in Python
The error message nameerror: name ‘__file__’ is not defined raised when you use the file global variable in an interactive shell. In addition to that, the error occurs when Python …
Runtimeerror: expected scalar type float but found double
One of the common errors is runtimeerror: expected scalar type float but found double. This error occurs if a program expects a float but instead receives a double. In this …
Importerror: cannot import name ‘mapping’ from ‘collections’
When you’ve been in programming in Python, chances to encounter “ImportError: cannot import name ‘mapping’ from ‘collections’” is inevitable. This error occurs when Python cannot import the ‘mapping’ module from …
Importerror: cannot import name ‘_unicodefun’ from ‘click’
When working with Python, it’s not uncommon to encounter an error “ImportError: cannot import name ‘_unicodefun’ from ‘click’”, which can occur when attempting to import the ‘click’ library in Python. …
Nameerror name pd is not defined
How to fix the Python nameerror name pd is not defined error message? In this article, we will show you how you can resolve this error. Aside from that, this …
Cannot add middleware after an application has started
One of the common errors you may encounter is runtimeerror: cannot add middleware after an application has started. This error occurs we attempt to add middleware to our application after …
Importerror: cannot import name ‘environmentfilter’ from ‘jinja2’
In this article, we’ll explore the potential causes of this Importerror: cannot import name ‘environmentfilter’ from ‘jinja2’ error and provide practical solutions to help you overcome it. Whether you’re a …
Java gateway process exited before sending its port number
In this article, we will discuss the causes of the runtimeerror: java gateway process exited before sending its port number error and provide you with step-by-step instructions to fix it. …
Runtimeerror: dictionary changed size during iteration
The Runtimeerror: dictionary changed size during iteration typically occurs if we are attempting to change the size of the dictionary while iterating over it. This type of error is an …
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.