![]() ![]() Jupyter Notebook is an increasingly popular system that combines your code, descriptive text, output, images, and interactive interfaces into a single notebook file that is edited, viewed, and used in a web browser. You can also use Jupyter Notebook the same way. From the Navigator Home page, click the Spyder tile, and use the Spyder interface that opens to write and execute your code. What applications can I access using Navigator?įor information on what applications are available by default in Navigator, see Home page.Īdvanced conda users can also build their own Navigator applications. You can use it to find the packages you want, install them in an environment, run the packages, and update them – all inside Navigator. Navigator is a graphical interface that enables you work with packages and environments without needing to type conda commands in a terminal window. This helps data scientists ensure that each version of each package has all the dependencies it requires and works correctly. The CLI program conda is both a package manager and an environment manager. Data scientists often use multiple versions of many packages and use multiple environments to separate these different versions. If you want to convert a Jupyter Notebook into Python files, change to that directory and type the following command: jupyter nbconvert -to script *.ipynbĬongratulations if you made it this far! You have all the libraries installed that you need to do fundamental image processing and computer vision work in Python.In order to run, many scientific packages depend on specific versions of other packages. Open Anaconda Prompt on your computer and type the following command: jupyter notebook Converting a Jupyter Notebook into Python Files Type the dir command to list the contents of a directory. Where D:\XXXX\XXXX\XXXX\XXXX is the file path. If you ever want to change directories to the D drive instead of the C drive, open Anaconda Prompt on your computer and type the following commands, in order D: cd D:\XXXX\XXXX\XXXX\XXXX Type the following commands to install the rest of the libraries: pip install pillow pip install SimpleITK Learn Basic Anaconda Commands Changing Directories ![]() pip install keras Install the Rest of the Libraries ![]() Now, install the Keras neural network library. Install TensorFlow hub using this command: pip install tensorflow-hub Type the following command in the Anaconda Prompt: pip install tensorflow Now, apply the Python binding to the packages using the following commands: pip install tesseract pip install pytesseract Install TensorFlow Type this command to see if tesseract is installed on your system. Under “System Variables,” click “Path,” and then click Edit.Īdd the path: C:\Program Files\Tesseract-OCRĬlick OK a few times to close all windows. Search for “Environment Variables” on your computer. In my case, that is: C:\Program Files\Tesseract-OCR Once Tesseract OCR is downloaded, find it on your system.Ĭopy the name of the file it is located in. Type the following command and take a look at the list to see if dlib is successfully installed: conda list Install Tesseract Type the following command to get a list of packages and make sure opencv-contrib-python is installed. To install OpenCV, use the following command in the Anaconda Prompt: pip install opencv-contrib-python I do echo JAVAHOME in Anaconda prompt and get that same path for Java 11. However, I seem to be running into some errors because when I do echo JAVAHOME in the notebook it points to somewhere that has Java 11, when I need Java 8. where conda Install Some Libraries Install OpenCV I am launching Jupyter from the Anaconda prompt. Conda is Anaconda’s package management system. Pip is the package management system for Python. Use the following command (in an Anaconda Prompt window) to check: where ipython If you use Jupyter Notebooks, you will need to open the notebooks in Firefox, Google Chrome or another web browser.Ĭheck to make sure that you have IPython installed. You can use Spyder, Jupyter Notebooks, or the Anaconda Prompt (terminal). Follow the instructions here for creating a “Hello World” program. ![]()
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