Pullover | The unofficial multi-platform Pushover desktop client | Chat library
kandi X-RAY | Pullover Summary
kandi X-RAY | Pullover Summary
The unofficial multi-platform Pushover desktop client
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Pullover
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Trending Discussions on Pullover
QUESTION
I was trying to animate 25 images randomly from Fashion MNIST
dataset.
However as I was trying to do that, my code only returns a blank canvas.
...ANSWER
Answered 2022-Feb-26 at 21:19For the way matplotlib.animation.FuncAnimation
works, you need to pass to it an argument i
, which is a counter that increases by 1 for each frame. So you don't need to loop for i in range(25)
within draw25Random
function:
QUESTION
I am using the Faker library to simulate weight-training data for an open-source app I am building (https://github.com/TheNewThinkTank/Fitness-Tracker),
where part of this simulation (https://github.com/TheNewThinkTank/Fitness-Tracker/blob/main/src/simulate_data.py) is to select exercises from a list. Each chosen exercise may only appear once per workout, which I am assuring by using the unique
method from Faker()
in the faker
library. This works fine when I simulate a single workout. However, when attempting to simulate more than one workout, I am met with faker.exceptions.UniquenessException: Got duplicated values after 1,000 iterations
.
Have attempted to reset the unique
call after each iteration but struggling to find the correct syntax for this (fake.unique(reset=True)
gives me TypeError: 'UniqueProxy' object is not callable
). Here is what I have tried (minimal example to reproduce the error):
ANSWER
Answered 2022-Feb-08 at 07:27You can use the .clear() method.
Have a look at the docs.
QUESTION
I'm working with TensorFlow, Numpy, and MatPlotLib. I'm a real beginner to all this so I'm following the docs and using the Fashion MNIST dataset as the docs are.
So here's my code:
...ANSWER
Answered 2021-Oct-24 at 12:58Fashion MNIST is a grayscale image dataset. Whereas your custom image has shape (28,28,3)
that implies it is an RGB image. Also you need to normalize your image too.
QUESTION
I've been working on a multiclass classification problem, where I need to make a function to show an image of a certain class of the fashion MNIST dataset and make a prediction on it. For example, plot 3 images of the T-shirt
class with their predictions. I have tried different things but no success yet. I'm missing a conditional statement and I can't figure out how & where to implement it in my function.
This is what I've come up with so far:
...ANSWER
Answered 2021-Oct-11 at 14:13I think you are really close into solving your problem. You just need to sample three samples from your category of interest. I guess that you have used a le = LabelEncoder()
to encode your target vector. If yes, then you will have the classes like this: labels = list(le.classes_)
. Then I would do the following:
QUESTION
I was just following a TensorFlow example from the book Hands-On Machine Learning with Scikit-Learn and TensorFlow but got weird results.
The example:
...ANSWER
Answered 2021-Sep-13 at 06:51you can not divide y
such as y_valid, y_train = y_train_full[:5000] / 255.0, y_train_full[5000:] / 255.0
. The completed code is following :
QUESTION
I am new to machine learning and trying to do some examples to learn it. I am working with the fashion_mnist database and I have the code below. I am getting an error on this line:
...ANSWER
Answered 2021-Aug-09 at 06:07It means that the shape of your images is not the same as the required input and hence you have to reshape your input like this and the rest of the code is same.
QUESTION
I'm trying to add functionality of when i pick up a color, it shows me up only the sizes of that color and then when i choose the size it gives me only the stock available in this size
I made a state to store the value of color picked but i'm confused of how to bind it with the sizes of that color and then bind the size with the stock !
...ANSWER
Answered 2021-Jul-16 at 16:41you can update Product Component to look like this
QUESTION
I am trying to implement the code from a Pytorch beginner's tutorial. But I have written the code for loading the saved model in another Python file.
The FashionClassify
file contains the code exactly as its in the tutorial.
Below is the code:
...ANSWER
Answered 2021-Apr-13 at 22:01That's what happens when you import another file. All the code gets rerun.
Instead, in your training file:
QUESTION
Importing the data and splitting it into 4 for test and train
...ANSWER
Answered 2021-Mar-20 at 18:08The main problem is very simple. Here I will give you a complete implementation of your program. Please note that I may change the model definition and image preprocessing step. Ok, let get started.
Fashion MNISTGet the data - Do some preprocessing - Visualize a sample.
QUESTION
So, I tried to get the gist of what I'm trying to do in the title, but essentially, I made accordions for our product page and I'm trying to get them to pull some bullet points from the description so that it's different depending on which product page you're on.
I know there are apps that can make tabs and accordions, but once I have the code right, I need to duplicate the product template so that we can apply them to different collections so the images and information on the pages match with the products.
The code attached is in an HTML block on the product page itself and not in the backend code of the store.
Any help is appreciated. Thanks!
...ANSWER
Answered 2021-Feb-28 at 10:59Let's say that in product.description
there is an h6
tag that you want to pull out.
I will find that the ending and split it out an array which the first part will have
h6
with another split. send the content to the accordion.
e.g. code is not tested.
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Install Pullover
Windows x32 (v1.3.0): Pullover_1.3.0_Installer.exe
Mac OS 10.9+ x64 (v1.3.0): Pullover_1.3.0.dmg
Linux x64 (v1.3.0): Pullover_1.3.0_linux64.zip
Linux x32 (v1.3.0): Pullover_1.3.0_linux32.zip
You can create builds for all platforms with Mac OS, take a look at CROSSPLATFORM.md to find out about necessary dependencies.
Install build dependencies: npm install
Install dependencies of Pullover: cd src && npm install
Compile src with webpack: npm run compile
Return to root dir: cd ..
Rename config/buildConf.json.sample to config/buildConf.json
Open config/buildConf.json and adapt platforms: to your preference
Build binaries with: ./builder build
If the build process was successful, you can find the binaries in bin/pullover/[platform]
If you want to package them (.zip/.dmg/.exe), execute ./builder createDist
The distributables will be placed in bin/deploy
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