Image Recognition using MobileNetV2
Actual notebook-based tutorial for loading images in Python, preprocessing for MobileNetV2 and decoding ImageNet predictions.
Tutorial Library
All tutorials
Every tutorial is built as a reusable page so you can add more detail, code, media, and downloads later.
Computer VisionDeep LearningPythonPyTorchTensorFlowOpenCV
Current Collection
Project tutorials ready for growth
Add new entries to data/tutorials.ts and the site will update automatically.
Facial Emotion Recognition using DeepFace and OpenCV
Actual notebook-based tutorial for detecting faces, analyzing emotions with DeepFace and drawing emotion labels using OpenCV.
Driver Identification Using Deep Learning
Driver identification pipeline using deep learning for recognizing driver identity from image/video input.
Face Emotion Recognition (PyTorch)
Realtime face emotion recognition using PyTorch, OpenCV and webcam inference.
Facial Emotion Recognition using MobileNetV2 Transfer Learning
Notebook-based emotion recognition tutorial using TensorFlow, MobileNetV2 transfer learning, seven emotion classes, Haar cascade face detection and realtime prediction logic.
Image to Text OCR with Python
OCR tutorial for extracting text from images using Python preprocessing and recognition logic.
Handwritten Digits Classification
Classic handwritten digit classification tutorial using TensorFlow/Keras and CNN concepts.
Object Detection Using OpenCV | Python
Stepwise implementation of object detection using OpenCV for image, video and webcam input.
Human Pose Estimation using OpenCV DNN and OpenPose
Notebook-based pose estimation tutorial using OpenCV DNN, OpenPose BODY_PARTS and POSE_PAIRS, image inference and video/webcam workflow.
Face Mask Detection using MobileNet Transfer Learning
Notebook-based face mask detection tutorial using TensorFlow, OpenCV, MobileNet transfer learning, face detection and realtime video logic.
Drowsiness Detection Notebook Material using TensorFlow Image Preprocessing
Notebook-based material from the uploaded drowsiness file, including TensorFlow image loading, OpenCV/PIL preprocessing and MobileNetV2 prediction outputs.