![]() ![]() You interact with jupyter-lab through your web browser. jupyter-hub is meant for large collaborations: it lets multiple users interact with one jupyter notebooks, and incorporates many more bells and whistles like Docker Containers to allow for code and dependencies to be standardized across many people’s computers.It’s very similar to a jupyter-notebook, but with more bells and whistles. jupyter-lab isa little more complex: it provides more ways of writing and managing individual notebooks.It provides the ability to create individual notebooks. jupyter-notebook provides a very lightweight interface.Jupyter itself is a collection of different development environments: There are of course other ways to user python: directly through the terminal, using a traditional IDE like Spyder or P圜harm, or by writing python scripts in a text editor and executing them from the command line. Notebooks are great ways of sharing simple workflows and demonstrations, or for just keeping track of your own work. This document, for example was written as an R-Markdown notebook. Jupyter is a development environment for creating markdown notebooks: scripts containing code interspersed with formatted markdown text. I’ve gotten some positive feedback on it, so hopefully you’ll find it helpful too. 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.I wrote this tutorial to help people in my lab learn how to manage their python and R environments using anaconda. 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 where conda Install Some Libraries Install OpenCV 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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