I'm trying to generate augmented image data by pasting objects on different background. Problem is I've objects of different colors and background and the objec
I've a dataset of almost 3k colored images each of dim 1920x1080 and I want to store it in a numpy array so when calling shape on it in returns (3716,493,491,3)
I have a list of the coefficient to degree 1 polynomials, with a[i][0]*x^1 + a[i][1] a = np.array([[ 1. , 77.48514702], [ 1. , 0.
Scenario 1 My custom environment has the following _action_spec: self._action_spec = array_spec.BoundedArraySpec( shape=(highestIndex+1,), dtype=np.
I'm trying to fit 2 gaussians in my red/blue population data. But it does not fit. What am I doing wrong? The code is: mag1 = 'z' mag2 = 'y' mask_rich = (wazp_m
Currently I want to generate some samples to get expectation & variance of it. Given the probability density function: f(x) = {2x, 0 <= x <= 1; 0 othe
I have two images: A grayscale image, and a binary mask with the same dimensions. How do I color the image on the mask, while the rest of the image remains gray
I am getting optimization errors while creating map of h3 moments using a self-defined function get_h3 in python for an image file called "image_test". The idea
I am new to data structures and I would like to make my code faster (this is just part of a bigger code). Using dataframes while looking up variables is slowing
I am trying to calculate joint probabilities from two tensors.. It's a little bit confusing for me. Suppose we have : a = torch.Tensor((10, 2)) b = torch.Tensor
Tried to solve a simple problem from google.colab import files import numpy as np file = files.upload() !ls my_array = np.loadtxt('train_vector.csv', delimi
Hello, I am trying to detect objects from point cloud data using RANSAC and DBSCAN algorithms. I need to save these detected objects as separate files and then
This question relates to the optimal setup for a multiple-input multiple-output Keras (Tensorflow) model given corresponding numpy arrays. For example, suppose
I am gonna try to frame this in an understandable way but please let me know if further clarification is necessary. I am trying to create a list of hexagonal co
I have nrrd files of the brain tumor. When reading the file into an array with a header and passing the code print(filename), I get an array of zeros. I checked
I've tried to run a code example (hosted on keras.io) regarding the handwriting recognition task. While playing with the code, I faced a TensorFlow-related issu
I wish to calculate the natural logarithm of a value that is very close to 1, but not exactly one. For example, np.log(1 + 1e-22) is 0 and not some non-zero val
I want to bring in a text file through PyQt5 and draw a graph with data values. import sys from PyQt5.QtWidgets import QApplication, QMainWindow, QTextEdit, QAc
I want to train a model with self-generated matrices (word vectors). My data have the following datatypes: print(type(X)) print(type(X[0])) print(type(X[0][0]))
I want to Finding a specific shape position in the Image. Firstly, I have a main image like below and I have multiple icons like below. I want to find the posit