image_classifier | An image classifier built using TFLearn | Computer Vision library

by EdmundMartin Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(9)Vulnerabilities Install Support

kandi X-RAY | image_classifier Summary

image_classifier is a Python library typically used in Artificial Intelligence, Computer Vision applications. image_classifier has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

An image classifier built using TFLearn.

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Quality

Security

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Support

image_classifier has a low active ecosystem.

It has 5 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of image_classifier is current.

Quality

image_classifier has 0 bugs and 0 code smells.

Security

image_classifier has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

image_classifier code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

image_classifier 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 295 lines of code, 18 functions and 2 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed image_classifier and discovered the below as its top functions. This is intended to give you an instant insight into image_classifier implemented functionality, and help decide if they suit your requirements.

Prepare image data
Process an image
Extract label from given image name
Train the model
Build the model
Predict the class of an image
Convert an image to an array
Load the model

Get all kandi verified functions for this library.

image_classifier Key Features

No Key Features are available at this moment for image_classifier.

image_classifier Examples and Code Snippets

No Code Snippets are available at this moment for image_classifier.

Community Discussions

Trending Discussions on image_classifier

"ValueError: Asked to retrieve element 0, but the Sequence has length 0" in Convolutional Neural Network

How to plot a graph to see the accuracy

TF.js import error with model created using TF Lite Model Maker

HTML File Input not centering

ValueError: Expect x to be a non-empty array or dataset (Tensor Flow lite model maker on Collab)

Unable to import tensorflow lite image classifier

load_model() missing 1 required positional argument: 'filepath'

Problem trying to export my Tensor Flow model to TLITE

Flask AssertionError While Trying to "POST"

QUESTION

"ValueError: Asked to retrieve element 0, but the Sequence has length 0" in Convolutional Neural Network

Asked 2021-Dec-07 at 15:02

I am using this code: https://github.com/gsurma/image_classifier/blob/master/ImageClassifierCNN.ipynb but I get this error: ValueError: Asked to retrieve element 0, but the Sequence has length 0 on this line: probabilities = model.predict_generator(test_generator, TEST_SIZE) . I followed this suggestion: How can I get rid of getting error through test generator? and I changed the above line to this: probabilities = model.predict(test_generator, TEST_SIZE) but does not work! And this: ValueError: Asked to retrieve element 0, but the Sequence has length 0 has no solution for my case. Any idea what is wrong?

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ANSWER

Answered 2021-Dec-07 at 15:01

After searching I have found that I need to include 2 folders inside "test" folder, where the folder names are "cat" and "dog". In order to see all the test images I changed TEST_SIZE = ... to the total number of the images inside the 2 folders under "test" folder.

Source https://stackoverflow.com/questions/70257686

QUESTION

How to plot a graph to see the accuracy

Asked 2021-Oct-28 at 10:00

I am using the tflite_model_maker.

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ANSWER

Answered 2021-Oct-28 at 10:00

It's a little different than what you're used to, but you can access the metrics you want as follows:

Source https://stackoverflow.com/questions/69741042

QUESTION

TF.js import error with model created using TF Lite Model Maker

Asked 2021-Jul-27 at 02:21

I've created a model using the tutorial at https://www.tensorflow.org/lite/tutorials/model_maker_image_classification and exported it in the TF.js format:

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ANSWER

Answered 2021-Jul-27 at 02:21

I believe this is an issue with the model converter having issues with a partial Graph inside of a Layers model.

You can probably fix this by serializing the model to the normal SaveModel format and export the HDF5. Once you have the .h5 output, use the TensorFlow.js converter (tensorflowjs_converter) to create a purely Graph model. Then try loading with tf.loadGraphModel instead.

Source https://stackoverflow.com/questions/68534742

QUESTION

HTML File Input not centering

Asked 2021-Apr-09 at 19:27

I'm trying to build a form in HTML/Tailwind CSS/ReactJS. I have created/styled the form fine, but I seem to be having issues where the file input is not properly being centered. It appears that the element has some inherent width, but it won't center itself within that space.

I've gone ahead and created a CodePen to try and represent this issue: https://codepen.io/developerryan/pen/mdREJXo

or you can view this segment here:

...

ANSWER

Answered 2021-Apr-09 at 19:27

Editing the input value, in this case, is something that is usually restricted for security reasons. You can always mimic the style you want yourself though.

Written example here for your consideration:

Source https://stackoverflow.com/questions/67026795

QUESTION

ValueError: Expect x to be a non-empty array or dataset (Tensor Flow lite model maker on Collab)

Asked 2020-Aug-06 at 02:17

I am following this tutorial on creating a custom Model using TensorFlow lite Model Maker on Collab.

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ANSWER

Answered 2020-Aug-04 at 18:51

I just did some manual tests. Don't exactly know why, but for this binary classifier, when I increase the amount of data to make sure at least 16 image per label are used for training, it starts working.

For your case, because you split the train/test by a factor of 0.5, you need 32 images per label. Could you try if that solve your issue?

Source https://stackoverflow.com/questions/63231811

QUESTION

Unable to import tensorflow lite image classifier

Asked 2020-Jul-03 at 14:02

https://www.tensorflow.org/lite/tutorials/model_maker_image_classification

I am running through the tensorflow lite example and get an import error when trying to import image classifier.

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ANSWER

Answered 2020-Jul-03 at 14:02

Try to clone the repo, and then use this path:

Source https://stackoverflow.com/questions/62716534

QUESTION

load_model() missing 1 required positional argument: 'filepath'

Asked 2020-Apr-09 at 04:29

Been following a few guides on Tensorflow and Keras, new to python, came from c++. Having an issue saying "load_model() missing 1 required positional argument: 'filepath'"

heres my code:

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ANSWER

Answered 2020-Apr-09 at 04:22

Your error message

load_model() missing 1 required positional argument: 'filepath'

gives you a good indication of the problem - "missing 1 required positional argument". This means that the filepath should not be passed as a keyword argument as you have done in your code. Instead, you can call load_model like:

Source https://stackoverflow.com/questions/61112631

QUESTION

Problem trying to export my Tensor Flow model to TLITE

Asked 2020-Jan-23 at 08:58

After training my model on the GoogleColab following this tutorial when I try to run model.export('image_classifier.tflite', 'image_labels.txt') it shows me

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ANSWER

Answered 2020-Jan-23 at 08:58

The problem is solved updating the Tensorflow version, I was using the version 1.X and the TensorFlow changed a lot in the new version IF YOU ARE USING COLAB FROM GOOGLE the version still is 1.X and will change to 2 soon so try to build your model in another way.

Source https://stackoverflow.com/questions/59847274

QUESTION

Flask AssertionError While Trying to "POST"

Asked 2020-Jan-03 at 20:59

I am brand new to python as of about 3 days ago and I need to build a prototype python server for an iOS work project. I followed a tutorial for the initial build.

When I perform a "POST" request, I get an error. Here is my full code, followed by the error I'm receiving in the Terminal when a "POST" request is submitted.

PS. also fairly new to stack overflow so I'm sorry if I'm asking this question incorrectly

...

ANSWER

Answered 2020-Jan-03 at 20:59

Error shows in which line it has problem

Source https://stackoverflow.com/questions/59584220

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

Vulnerabilities

No vulnerabilities reported

Install image_classifier

You can download it from GitHub.
You can use image_classifier 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 .

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