CEC | Arduino library for HDMI CEC communication

I have a data frame with two columns and I want to compute Jaccard's similarity index by row between these two columns (address and gmap_var):

Here is what I have tried (based on this contribution Mutate with a list column function in dplyr). It returns jaccard_sim = 0.

Need assistance with the simple task. I’m playing around with the LISC dataset that contains hematological images taken from peripheral blood and segmentation masks of manual ground truth for these graphical samples. The task is the following:

1. Segment isolated leukocytes by removing/cropping irrelevant background elements using the segmentation masks given in the dataset. Try this on one sample only.
2. Once accomplished, go through the whole folder, and segment/crop the rest of the samples.

Results should be like this (these were obtained via a combination of Mask R-CNN, GrabCut, and OpenCV — but not suitable for the current project I’m working on):

Here is the code that I’ve got so far (from jupyter notebook):

I am currently using SDK version 3.39.0 and version 0004 of the API_MKT_CONTACT service definition to try to create a new Contact with an AdditionalID in Marketing Cloud with the following code:

I am currently using SDK version 3.39.0 and version 0004 of the API_MKT_CONTACT service definition to create a new Contact in Marketing Cloud with the following code:

I'm running Junit5 test with Testcontainers, in the test I'm starting an image with Maven to execute some commands.

For example, I created a test just to print mvn version to stdout:

I am trying to display multiple images for displaying in my booking system but the images are simply appearing in one column like this

While this is how I expected them to appear So far I am using bootstrap to style the images. What I want is to loop through the returned images and show the first three in the first row then the second four in the following row showing the number of all that are hidden in the last column of the last row just as in the image

So far this is what I have been able to do

Basically I use tf-gpu 2.3rc0 to perform image detection on a video stream. For each loop, there's a subtask runs separately. So I try to use Pool from multiprocessing The structure is like:

I have downloaded a bunch of graphs from http://users.cecs.anu.edu.au/~bdm/data/graphs.html and I want to do some analysis. I want to use the graph-tool Python module for this but I cant find a convenient way to convert from graph6 format to a format compatible with graph-tools. There must be an easy way to do this... any help would be appreciated.

-- EDIT: A possible solution is convert from g6 to gt format... but I haven't found any tools that do this.

I have an extremely large, unsorted pandas dataframe (over two million rows) with multiple columns, two columns of which identify which category these rows belong to. Where the combination of "K" and "U" represent a unique category for these rows, I want to select all the rows that fall into each of these categories, and store these rows as separate dataframes that can be manipulated and analyzed later on for machine learning models. Let me explain