Syntaxerror unexpected token in json at position 0
The syntaxerror unexpected token in json at position 0 usually happens while you are working with JSON. This error is quite difficult and confusing to resolve, especially if you don’t have …
valueerror: too many dimensions ‘str’
In running a system program, encountering errors is a common issue. These errors sometimes can be mystifying and may require a comprehensive understanding of the code to identify and resolve …
Valueerror: bad marshal data unknown type code
One of the errors that developers often encounter is the ValueError: Bad Marshal Data Unknown Type Code. This error message can be complicated, especially for those who are new to …
Syntaxerror: non-default argument follows default argument
If you are working with Python functionals argument, you probably encounter the syntaxerror: non-default argument follows default argument. So if you are confused about how to fix this error, don’t worry! …
Can only compare identically-labeled dataframe objects
Are you encountering a ValueError:can only compare identically-labeled DataFrame objects? This error typically occurs when attempting to compare or merge DataFrames with different labels. In this article, we will provide …
Syntaxerror: unexpected end of json input
The syntaxerror: unexpected end of json input is an error message you’ll encounter when you are working with JavaScript. If you are encountering this error right now and you’re confused about how …
Syntaxerror: unexpected character after line continuation character
The syntaxerror: unexpected character after line continuation character is an error message that usually happens when you use line continuation character incorrectly. So, if you are stuck with this error …
Syntaxerror: future feature annotations is not defined
In this article, we will show you how to fix the syntaxerror: future feature annotations is not defined in Python. Since we need to fix this error, we just need to have …
Syntaxerror: ‘return’ outside function
In this article, we’ll walk you through how to fix the Python syntaxerror: ‘return’ outside function. This syntax error you’ll face when you’re running your code in Python. If this …
Importerror no module named pkg_resources
The ‘ImportError: No module named pkg_resources‘ is a common error encountered by Python developers. Usually, this error typically occurs when attempting to import a module that requires the pkg_resources module, …
Importerror: cannot import name ‘parse_rule’ from ‘werkzeug.routing’
If you’re a Python developer working on framework that utilizes the Werkzeug library, you might come across the error Importerror: cannot import name ‘parse_rule’ from ‘werkzeug.routing’. Actually, the error typically …
Importerror: cannot import name ‘compilationexception’ from ‘dbt.exceptions’
When working with dbt, a popular data modeling and transformation tool, you might come across the ImportError: cannot import name ‘compilationexception’ from ‘dbt.exceptions‘ error. Apparently, this error typically indicates a …
Importerror: cannot import name ‘protocol_tls’
When working with Python programming language, you may encounter an error “ImportError: Cannot Import Name ‘protocol_tls‘”. This article aims to provide an understanding of this error, its common causes, and …
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.