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Once we have created a Docker Container which has all of our application files and its dependencies, it is time to deploy it, but most of the times it is not enough to deploy a single container, if we want to provide the best service we might need to provide more instances of a container…
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What is a container? Is a way of deploying code and dependencies as a single unit. The official docker definition of container is: A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another. A container offers…
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How to check if your python code is formatted according to the PEP8 standards To do so you can use pycodestyle Install pycodestyle with pip pip install pycodestyle Once installed you can check your python files to see everything that needs to be fixed in order to comply with PEP8 Using pycodestyle pycodestyle –first backend/test_flaskr.py…
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Configure the server On the server you first create the config with: jupyter notebook –generate-config Then open the file that was created and change these 2 settings: c.NotebookApp.allow_origin = ‘*’ #allow all origins c.NotebookApp.ip = ‘0.0.0.0’ # listen on all IPs Save the file. Set a password to protect the server with: jupyter notebook…
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Installing OpenCV 4 in Mac Os Install Anaconda Create a new environment Open the new environment in the terminal Run: conda install -c conda-forge/label/main opencv conda install notebook Jupyter notebook In the notebook import cv2 Check the version with cv2.__version__ You should see something like 4.1.1 Problems when showing an image or video If when…
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To install the packages required with conda use the following commands: conda install -c conda-forge jupyter_contrib_nbextensions conda install -c conda-forge jupyter_nbextensions_configurator conda install -c conda-forge jupyterthemes Then run jupyter notebook Open the Extensions configurations panel http://localhost:8888/nbextensions Enable the extensions and enjoy them! Some extensions to autoformat code require autopep8 and yapf conda install -c conda-forge yapf…
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It is a good practice to have all the application dependencies listed in a file called requirements.txt so when we need to run the app we don’t need with all the missing requirements errors and we can easily install them with pip with one line of code. Generating the requirements.txt file We will need to…
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The opportunity In July 2019 I was in a meeting with the CEO of akademy.ai where I received an offer to teach computer vision at their AI Engineer Bootcamp here in Barcelona. The bootcamp consists of a fully immersive 10 weeks program to launch your career in Artificial Intelligence. It was a very interesting offer…
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During the #100DaysOfMLCode challenge I was going through the Computer Vision Udacity nanodegree and I had the opportunity to learn a lot while doing it, I complemented the nanodegree with other computer vision courses and books and while doing it I also did some research about computer vision jobs, and this is what I came…
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Jeff Bay, originally coined the term Object Calisthenics in computers. in The ThoughWorks Anthology book as a group of exercises to Object Oriented programming. By applying object calisthenics you can get code that is more: Readable Reusable Testeable Maintenable Rules 1. Only one level of indentation per method. This will make a method more readable…
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Logistic Regression Is used for classification problems, outputs probabilities if > 0.5 the data is labeled 1 else it is labeled 0. Produces a linear decision boundary. from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split logreg = LogisticRegression() X_train, X_text, y_train, y_test = train_test_split(X,y,test_size=0.2,random_state=42) logreg.fit(X_train,y_train) y_pred= logreg.predict(X_test) ROC Curve Stands for Receiver Operating Characteristics curve…
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CNN’s Glossary CNNs: Convolutional neural network. That is, a network which has at least one convolutional layer. A typical CNN also includes other types of layers, such as pooling layers and dense layers. Convolution: The process of applying a kernel (filter) to an image Kernel / filter: A matrix which is smaller than the input, used to transform…
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