Deploy Computer Vision Flask Web App using Python in CLOUD
- Description
- Curriculum
- FAQ
- Reviews
Welcome to Deploy End to End Machine Learning-based Image Classification Web App in Cloud Platform from scratch
Image Processing & classification is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers modeling techniques for data preprocessing, model building, evaluation, tuning, and production
We start the course by learning Scikit Image for image processing which is the essential skill required and then we will do the necessary preprocessing techniques & feature extraction to an image like HOG.
After that we will start building the project. In this course you will learn how to label the images, image data preprocessing and analysis using scikit image and python.
Then we will train machine learning here we will see Stochastic Gradient Descenct Classifier for image classification and followed by model evaluation proces and pipeline the machine learning model.
After that we will create web app in Flask by rendering HTML, CSS, Boostrap. Then, we finally deploy web app in Python Anywhere which is cloud platform.
WHAT YOU LEARN ?
- Python
- Scikit Image
- Data Preprocessing
- HOG
- Base Estimator and TransformerMixIn
- SGD Classifier
- Create and Make Pipeline Model
- Hyperparameter Tuning
- Flask
- HTTP methods
- Deploy in PythonAnywhere
We know that the Image Classification Flask Web App is one of those topics that always leaves some doubts. Feel free to ask question in Q&A, we are happy to answer you question.
I am super excited and see you in the course !!!
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4Download the ResourcesText lesson
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5What is Image & PixelsVideo lesson
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6Read Image in skimageVideo lesson
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7Split into rgb arrayVideo lesson
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8Convert image into grayscaleVideo lesson
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9Image HistogramVideo lesson
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10Histogram EqualizationVideo lesson
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11Resize Images to any shapeVideo lesson
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12Download the ResourcesText lesson
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13What we will do ?Video lesson
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14Understand the data what we haveVideo lesson
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15Get all image filename in list in PythonVideo lesson
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16Labeling ImagesVideo lesson
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17Read all images from the folders and save in PickleVideo lesson
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18Visualize all images and labelsVideo lesson
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19Import Python libraries and InstallationsVideo lesson
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20Load the Data and split into train and test setVideo lesson
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21HOG Feature ExtractionVideo lesson
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22RGB to Gray TransformerVideo lesson
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23HOG TransformerVideo lesson
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24Train SGD classifierVideo lesson
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25Model EvalutionVideo lesson
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33Install Visual Studio CodeVideo lesson
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34Download the ResourcesText lesson
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35Start Flask AppVideo lesson
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36Download Bootstrap & JQueryVideo lesson
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37Import Bootstrap 4Video lesson
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38Navigation BarVideo lesson
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39FooterVideo lesson
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40Inheritance (Layout Page)Video lesson
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41File Upload (Http Request)Video lesson
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42Styling the Page with CSSVideo lesson
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43File Upload Backend Operations (Flask)Video lesson
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44Integrate Machine Learning Pipeline ModelVideo lesson
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45Send Image from HTML to Server SideVideo lesson
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46Adjust the image Height and Width DynamicallyVideo lesson
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47Styling HTML for the OutputVideo lesson
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48Error Handlers 404, 405, 500Video lesson
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49About Page & hrefVideo lesson
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50Create Account in Python Anywhere for FreeVideo lesson
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51Preparing RequirementsVideo lesson
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52Upload Flask App in Python AnywhereVideo lesson
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53Installing RequirementsVideo lesson
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54Deploy you Flask App and get access anywhere from the WorldVideo lesson
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55Common Error you will get while deploying the webappVideo lesson
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