I want to save a tensorflow model with a multiply operation where I wish to multiply with a constant vector. However I get an error when I create a model in a function. When I do it in a script it seems to work fine. Here is the standalone code to replicate the error named ..
I Had used TesseracttoPage Tool to convert my images to XML Files(Page XML), Now to train one of a model I need it in coco format(json), Is there any code snippet or tool I can use . Source: Python..
I am working on binary image classification of big number of 3 channeled 512*512 images. I use VGG16 for feature extraction for a generator built from imagedatagenerator. While training the feature extraction model on colab, the RAM usage increases until it crashes the session before it finished training. I tried changing batch size, taking 1 ..
I am working on a web-app that searches the IGDB database for games of a user chosen title, then displays them on screen. Users will be able to click an add button to add the chosen game to their personal collection as a user. Right now I am working on the database models and I ..
I am creating a Django web app. I have set a field as a primary key and a unique field. When I try to edit it and give it the same value as another item in the primary key column, the current item got duplicated and each value goes to one of them as shown ..
I would like to create a To-Do list in which I can schedule date and time of each task. My goal is to get some sort of response whenever the supplied datetime is equal to the current time. For example I scheduled Do laundry for Monday at 6pm on a Saturday evening. Two days later ..
I’m using Django. I created 3 models: Category, Feature, Question. class Category(models.Model): category_name = models.CharField(max_length=300) category_order = IntegerRangeField(default=0, min_value=0) category_visible = models.BooleanField(default=True) def __str__(self): return self.category_name class Meta(object): ordering = [‘category_order’] class Feature(models.Model): category = models.ForeignKey(Category, on_delete=models.CASCADE) feature_name = models.CharField(max_length=300) feature_code = models.CharField(max_length=50, unique=True) feature_predictable = models.BooleanField(default=False) def __str__(self): return self.feature_name class Question(models.Model): feature = ..
I would like to print the dates stored in my models.py. However, it seems like Django couldn’t access them. Here you can have a look at the relevant pieces of my code: views.py from django.db.models.fields import DateTimeField from django.http.response import HttpResponseRedirect from django.shortcuts import render from django.urls import reverse from django.utils import timezone from datetime ..
I’m currently trying to fit a Gaussian Process model to my data and have it predict some days ahead. I have reduced my ~10 features down to just 2 components via PCA in sklearn. So now I have PCA1 and PCA2. This was obtained by performing PCA on the training set (40%). pca = PCA(n_components=2) ..
I have some measures Ymes, measured in xMes with some uncertainty sigma_mes. The model I want to calibrate is Ymes=f(xMes,beta). Beta is a 4-size tensor that I want to sample from pyro’s MCMC and f is a simple polynomial function. I defined a prior distribution for beta and also defined the likelihood. I expected that ..