How to train the background removal (rembg) model our images
Feb 19, 2022 · The model provided simply uses a to predict a mask of pixels indicating whether a pixel is the background or foreground. The github readme links to an , which is from the original authors of …
ValueError: not enough values to unpack (expected 4, got 2)
Jun 19, 2018 · I have written this code fig, (axis1, axis2,axis3, axis4)=plt.subplots (2,2,figsize= (10,4)) and I am getting this error ValueError: not enough values to unpack ...
opencv - ImportError: cannot import name 'cv2' from 'cv2' - Data ...
Feb 17, 2021 · I'm using anaconda and installed OpenCV using conda-forge. conda install -c conda-forge opencv In my notebook I run this line of code from cv2 import cv2 ...
I am getting this error ValueError: not enough values to unpack ...
Aug 3, 2021 · I have written this code: tf = TfidfVectorizer() text_tf = tf.fit_transform(df_clean) text_tf from sklearn.model_selection import train_test_split x_train, x_test, y_train, y_test = train_test_split(
attention mechanism - Masking during transformer inference? - Data ...
Mar 9, 2025 · You probably got 2 seemingly contradicting answers because the question is a bit ambiguous. Though here ChatGPT is more correct than DeepSeek. The question implies that the …
Plot Two Categorical Variables - Data Science Stack Exchange
Feb 21, 2021 · How to plot two categorical variables in Python or using any library? I want to plot the Playing Role of a Cricketer (Batsman, Bowler, etc.) VS Bought_By (Franchise Names, e.g., CSK, …
Pytorch mat1 and mat2 shapes cannot be multiplied
Mar 10, 2023 · The error message shows RuntimeError: mat1 and mat2 shapes cannot be multiplied (32x32768 and 512x256) I have built the following model: def classifier_block(input ...
Effective Methods for Background Removal on Images
Sep 6, 2018 · I'm interested in learning about how background removal works on images taken of clothing items. Do we need a specific color difference between the background and the clothing item …
How does the concatenation work between CNN and normal features
Oct 23, 2022 · I have a problem. I have trained a CNN model for an NLP classification problem and combined it with other features. I am using Concatenate to concatenate the two layers with it. My …
Interpretation of Autocorrelation plot - Data Science Stack Exchange
Feb 26, 2021 · from pandas.plotting import autocorrelation_plot autocorrelation_plot(df("y")) Here y is the dependent variable Should I derive the following conclusions There are no significant …