Nameerror name ‘json’ is not defined
In this article, we’ll walk you through how to fix the nameerror name ‘json’ is not defined error message in Python. If you’re having a hard time dealing with this error, we …
Importerror: cannot import name ugettext_lazy from django.utils.translation
One of the common errors you may encounter is the ImportError: cannot import name ugettext_lazy from django.utils.translation. This error can be frustrating to encounter, especially if you’re not familiar with …
Runtimeerror: one_hot is only applicable to index tensor.
The “runtimeerror: one_hot is only applicable to index tensor.” error is a runtime error that usually occurs if we attempt to use the one_hot function on a tensor that is …
Importerror dynamic module does not define module export function
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[Fixed] NameError: Name Data Is Not Defined in Python
Experiencing a nameerror name data is not defined, error message while you are working with Python Pandas? Yet, you are struggling to fix this error because you’re not familiar with it? Worry …
Importerror: install s3fs to access s3
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Runtimeerror: no running event loop
One of the error that developers often encounter is the runtimeerror: no running event loop error. The purpose of this article is to provide a full understanding of this error, …
Runtimeerror: cuda out of memory. tried to allocate
One of the often common error that encountered of developer in CUDA programming is: Runtimeerror: cuda out of memory. tried to allocate The cuda out of memory. tried to allocate …
Nameerror name requests is not defined
In this article, we will show you how to fix the Python nameerror name requests is not defined error message. If you’re new to this error message technically, you don’t any idea …
Cuda error: an illegal memory access was encountered
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Nameerror: name image is not defined
Are you stuck with the Python nameerror: name image is not defined error message? Well, you’re lucky enough because this article will show you how to fix this error. Apart from that, …
[Fixed] NameError: Name Torch Is Not Defined in Python
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cannot import name ‘safe_str_cmp’ from ‘werkzeug.security’
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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.