This is an on-going building model for the tutorials of object detection with my slides and codings.
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Tutorial 1
- Quantilization
- Image Deformation
- Convolution
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Tutorial 2
- Hog
- SIFT
- Image Match
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Tutorial 3
- Hough Transformation
- Lucas-Kanade track
- KNN Mnist
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Tutorial 4
- NN_Classification from scratch
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Tutorial 5
- Tf Mnist with batch Normalization
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Tutorial 6
- Tensor visualization and parameter optimization
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Tutorial 7
- nn mnist from scratch
- Tf CIFAR 10






