3.Visual display of detected number plates. 4.Clear and well-commented steps in the notebook. Technologies Used Python, OpenCV, NumPy, Matplotlib, Jupyter Notebook. Project Structure 1.detection.ipynb ...

The best way to do this is by either running Python in the terminal or a Jupyter notebook. If you're using the terminal, I recommend using IPython, as it has a lot of features to make interactive ...

format(js_dir)) # Convert all Earth Engine Python scripts in a folder recursively to Jupyter notebooks. nb_template = get_nb_template() # Get the notebook template from the package folder. py_to_ipynb ...

To perform PCA in Python, you can use the scikit-learn library, which provides a PCA class. This class can fit and transform your data by following these steps: importing the PCA class and other ...

This paper proposes a PCA-KNN-PEAK intelligent clustering algorithm, which does not need to preset the number of clusters. The algorithm first reduces the dimension of the voltage data collected on ...

We release our implementation and dataset annotations to facilitate further research in deep learning-based precision agriculture. Precision agriculture, also referred to as smart farming or digital ...