Computer Vision

k-NN classifier for image classification
Image classification with Keras and deep learning
Deep learning, hydroponics, and medical marijuana - 深度學習幫助水耕栽種
- Keras + Train CNN
Keras Tutorial: How to get started with Keras, Deep Learning, and Python
1. Installing Keras and other dependencies on your system
2. Loading your data from disk
3. Creating your training and testing splits
4. Defining your Keras model architecture
5. Compiling your Keras model
6. Training your model on your training data
7. Evaluating your model on your test data
8. Making predictions using your trained Keras model

With dlib

With dnn library (deep neurak network)

Face detection with OpenCV and deep learning
Deep learning face detector is based on the Single Shot Detector (SSD) framework with a ResNet base network.
OpenCV Face Recognition
1. Detect faces
2. Compute 128-d face embeddings to quantify a face
3. Train a Support Vector Machine (SVM) on top of the embeddings
4. Recognize faces in images and video streams
Deep learning: How OpenCV’s blobFromImage works

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