Nameerror name ‘python’ is not defined
Are you having a hard time trying to fix the nameerror name ‘python’ is not defined error message? This error is not that hard to fix on what you think. However, it’s …
Importerror: cannot import name ‘parametersource’ from ‘click.core’
The “ImportError: cannot import name ‘ParameterSource’ from ‘click.core‘” occurs when we have an outdated version of the click module. To solve the error, upgrade your versions of the click and …
[Fixed] RuntimeError: asyncio.run() cannot be called from running event loop
If you are working with asyncio, you may have encountered an error message that says runtimeerror: asyncio.run cannot be called from a running event loop. The error message occurs when …
Runtimeerror: address already in use
In the world of network programming, encountering errors is not an uncommon circumstance. One of the often errors you might encounter is Runtimeerror: address already in use. In this article, …
Nameerror: name ‘col’ is not defined
Are you dealing with the Python nameerror: name ‘col’ is not defined while working in Pyspark? If you’re struggling to fix the name ‘col’ is not defined, keep on reading! This article discusses …
Nameerror: name ‘_c’ is not defined
Today, we’ll walk you through how to fix the Python nameerror: name ‘_c’ is not defined error. We understand that sometimes there is an error that needs assistance to resolve it. …
Runtimeerror cuda out of memory stable diffusion
The Runtimeerror cuda out of memory stable diffusion error can be frustrating and confusing. This error message shows that the program has exhausted the available GPU memory, preventing the execution …
Nameerror name true is not defined
How do I fix the Python nameerror name true is not defined error message? Well, this article got your back. Just simply keep on reading. In this article, we’ll show …
Importerror cannot import name storage from google cloud unknown location
Have you encountered “ImportError: cannot import name storage from google.cloud unknown location” error message? This error can be frustrating and confusing, especially if you’re not familiar with the Google Cloud …
Importerror: cannot import name ‘packagefinder’ from ‘pip._internal.index’
Working with Python you can not avoid the importerror: cannot import name ‘packagefinder’ from ‘pip._internal.index’ error. So this article aims to provide you with solutions and discuss why this error …
Importerror: cannot import name ‘html5lib’ from ‘pip._vendor’
Have a chance to encounter “ImportError: cannot import name ‘html5lib’ from ‘pip._vendor‘”? Well, this error usually appears when you are trying to install or use a Python package that requires …
Runtimeerror: the poetry configuration is invalid:
The runtimeerror: the poetry configuration is invalid error is an indication that there is an issue with the Poetry configuration in your project. Poetry relies on a properly configured pyproject.toml …
Nameerror name keras is not defined
The nameerror name keras is not defined error message usually experienced when working with Python. It happens when a Python script tries to use a name that was not defined or imported. …
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.