Metadata-Version: 2.1
Name: MkRecClient
Version: 0.0.1
Summary: MkNxGn Client for MkRec. Free for use.
Home-page: https://mknxgn.com/
Author: Mark Cartagena
Author-email: mark@mknxgn.com
License: UNKNOWN
Description: <html>
        
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            <link rel="stylesheet" type="text/css" href="https://mknxgn.pro/styles/main.css">
            <link rel="stylesheet" type="text/css" href="https://mkrec.mknxgn.pro/rainbow.css">
            <script src="https://mkrec.mknxgn.pro/rainbow.js"></script>
            <style>
                @font-face {
                    font-family: MkFont;
                    src: url(https://mkrec.mknxgn.pro/MkFont.ttf);
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                    font-size: xx-large;
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                <div class="title" style="font-size: 60px;">
                    MK Rec
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                <div style="font-style: italic;">
                    Open Image Recognition - Client
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            <div style="padding: 20px 50px">
                Created By Mark @ MkNxGn<br><br>
                <pre><code data-language="python">pip install MkRecClient</code></pre>
                Use this module to interact with MkRec on a programmatic level with python! Build an API for your uses to use
                your services with MkRec and build awesome applications.
                <br><br><br>
                Register your client with the server for maximum security!
                <pre><code data-language="python">#Register the client
        usr = input("My Username: ")
        MkRecClient.Register_Client(usr)</code></pre>
                <br>
        
                Get a list of active machines
                <pre><code data-language="python">#Get Machines
        MkRecClient.Register_Client()
        print(MkRecClient.get_machines())</code></pre>
        <br>
        
                Get Machine Trained Titles, What the machines knows
                <pre><code data-language="python">#Get Machine Trained Titles, What the machines knows
        MkRecClient.Register_Client()
        Machines = MkRecClient.get_machines()
        print(Machines['Animals'].titles)</code></pre><br>
            
                Get Machine Training Stats
            <pre><code data-language="python">#Get Machine Training Data
        MkRecClient.Register_Client()
        Machines = MkRecClient.get_machines()
        print(Machines['Animals'].train_acc) #Machine accuracy
        #  OR
        print(Machines['Animals'].training) #All stats</code></pre><br>
        Get the value of points attached to your account
        <pre><code data-language="python">#Get the value of points attached to your account
        MkRecClient.Register_Client()
        print(MkRecClient.get_points())</code></pre><br>
        And Finally, what we've all been waiting for, how to send an image to the machine!
        <pre><code data-language="python">#Send an Image to get results!
        result = MkRecClient.PredictImage(MkRecClient.prep_img("img.png"), "Animals")
        result.result #the best result
        result.all_results #all results
        result.remaing_points #how many points you have now
        result.possible_titles #all possible titles of the machine
        #if the result wasn't correct, and you had heap=True
        result.correct('correct class')
        </code></pre>
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Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires: mknxgn_essentials
Requires: requests
Description-Content-Type: text/markdown
