not-hotdog | simple hotdog/not hotdog classifier | Machine Learning library

by varunshenoy Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | not-hotdog Summary

not-hotdog is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. not-hotdog has no bugs, it has no vulnerabilities and it has low support. However not-hotdog build file is not available. You can download it from GitHub.

A simple hotdog/not hotdog classifier built through transfer learning on InceptionV3. In order to learn about fine-tuning a well known architecture, I decided to begin with the simplest framework, Tensorflow for Poets. All of the training images were taken from Imagenet (Princeton University and Stanford University).

Support

Quality

Security

License

Reuse

Support

not-hotdog has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

not-hotdog has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of not-hotdog is current.

Quality

not-hotdog has no bugs reported.

Security

not-hotdog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

not-hotdog does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

not-hotdog releases are not available. You will need to build from source code and install.

not-hotdog has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed not-hotdog and discovered the below as its top functions. This is intended to give you an instant insight into not-hotdog implemented functionality, and help decide if they suit your requirements.

Create TensorFlow graph .
Adds input_distortions .
Creates a list of image lists .
Retrieve a set of bottleneck bottlenecks .
Adds the final training .
Returns a list of bottleneck_truths .
Get or create a bottleneck .
Cache bottleneck files .
Get image path .
Download and extract a tarball .

Get all kandi verified functions for this library.

not-hotdog Key Features

No Key Features are available at this moment for not-hotdog.

not-hotdog Examples and Code Snippets

No Code Snippets are available at this moment for not-hotdog.

Community Discussions

Trending Discussions on not-hotdog

Is it possible to use tenserflow.js with react native?

A2HS not firing up on mobile chrome

Swift Error: "Value of type 'ClassResult' has no member 'classification'

QUESTION

Is it possible to use tenserflow.js with react native?

Asked 2020-Jan-10 at 08:28

I am trying to add offline support to an AI-based app I am building on React Native, The app is similar to Not Hotdog of Silicon Valley. I recently found out Tenserflow.js and tried to implement it with React native and even outputted my python model to the one that is supported by Tenserflow.js but when I try to import Tenserflow.js inside one of the React Native components using import * as tf from '@tensorflow/tfjs'; this syntax but React Native throws the error, the error screenshot is attached with the question.

Thank You !!!

...

ANSWER

Answered 2018-Apr-11 at 15:53

The short answer is no as stated in the description of the project.

A WebGL accelerated, browser based JavaScript library

The error you are getting shows that it's trying to use window which is part of the DOM API in browsers. React Native has no such API as it's not a browser. You can see that they use window in multiple places in their Core API.

The long answer is a maybe but is out of scope for a StackOverflow answer as it would be akin to asking for a tutorial. To elaborate, I can see two approaches to possibly getting TensorFlow.js to work:

Polyfill everything that is missing:
- This might be possible but it probably won't work as you'd expect because it leverages WebGL. I'm not familiar with TensorFlow.js, but I would believe that WebGL is used because it would allow access to GPU acceleration making the workload feasible in the browser. You would need to do something similar in order for it to work well on a mobile device.
Leverage a WebView. However, you may again run into WebGL/performance issues as indicated in older questions such as this.

Since you didn't post any code whatsoever, there is no other guidance that I can give you on this question. One suggestion would be to look at maybe a native module such as react-native-tensorflow and the discussions people had around it.

Source https://stackoverflow.com/questions/49777679

QUESTION

A2HS not firing up on mobile chrome

Asked 2018-Jul-13 at 13:45

Here's the site (https://oninross.github.io/not-hotdog-pwa/), you can view it on a Chrome Browser it will do its offline caching bits. I view the same link in a mobile Chrome Browser and its not doing its offline caching bits. There is no A2HS prompt.

I have copied my SW and JS from a previous project that works. Now it doesnt. Any ideas why?

sw.js

...

ANSWER

Answered 2018-Jul-13 at 13:45

Looks like your service worker is not getting registered
This may help
https://developers.google.com/web/fundamentals/primers/service-workers/registration

Use the lighthouse audit tool
Work out all the bugs until you see under #4 below
"User can be prompted to Install the Web App"

Once you see that, you should see the A2HS prompt in chrome mobile

Lighthouse audit results for your PWA

Source https://stackoverflow.com/questions/51318179

QUESTION

Swift Error: "Value of type 'ClassResult' has no member 'classification'

Asked 2018-Mar-25 at 20:05

I'm developing on Swift 4.0.1 using Xcode 9.1 and I'm trying to control the type of data shown in the debug console when I run Visual Recognition on my app. So I've tried cleaning this project, restarting Xcode, copying and pasting code from the downloaded project and checking for misspells. I've tried nearly everything. Stackoverflow questions about similar cases don't help because it's all different case scenarios and of older swift (3 and 2). I've tried adding an "_" like this:classificationResults.append(classes[index]._classification) like one person said it worked for them, and it still shows the error "Value of type 'ClassResult' has no member 'classification'.

Image of error

...

ANSWER

Answered 2018-Mar-25 at 20:05

According to the docs, ClassResult does not have a member named classification, but does have one named className.

https://github.com/watson-developer-cloud/swift-sdk/blob/master/Source/VisualRecognitionV3/Models/ClassResult.swift

Source https://stackoverflow.com/questions/49479178

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install not-hotdog

You can download it from GitHub.
You can use not-hotdog like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: