minc | Medical Image NetCDF , this package | Computer Vision library

How about this approach:

You are drawing the contours on the same image, so you are getting the larger ROI with two drawn contours.

Suggested solution:
Draw each contour on a temporary image filled with zeros, and crop the ROI from the temporary image.

• Create temporary image filled with zeros:

Try to plot twice with option stacked and position:

You need to specify User-Agent to get correct response from server, e.g:

The hook woocommerce_before_calculate_totals is just for cart items and the tax class here only apply to products as $cart_item['data'] is the WC_Product Object.

If your product prices are set without taxes, there is another alternative much more simpler that will remove all taxes when your conditions are met.

Try the following instead:

I decided to sit down a bit and try tackling this problem. If I understand correctly, we are performing swaps on list in order to get them sorted like in the destination list.

There are two types of operations we can do. Swapping two numbers to destination, which is swapping two numbers and they both land where they belong. And swapping one number to destination, which makes one of them land where it belongs and puts other in the incorrect location.

Perfect swap should always be prioritized over one-element to destination. After writing it down on paper, I also concluded that to minimize the sum when doing one-element to desination swaps, the more you move the smallest element, the smaller the sum.

So, the algorithm I came up with is: Find smallest weight element in target, find what should be in its place, switch them. Then remove all elements that are on their correct places from both target and origin lists(in order to find new smallest weight if previous one is already in destination), loop until the lists are empty.

Program will use one-to-destination swaps to move the lowest weight as long as it can, and when its done, chooses next smallest element. two-way perfect swaps will solve themselves when program picks one of those elements as the smallest weight.

I am not sure if this algorithm is perfectly correct, especially on the corner cases, but it's the best I could come up with, with the little time I have.

This error is happening because of sending large objects to redis. merged_df is a large dataframe and since you are calling get_meal_category 10 times, Ray will attempt to serialize merged_df 10 times. Instead if you put merged_df into the Ray object store just once, and then pass along a reference to the object, this should work.

EDIT: Since the classifier is also large, do something similar for that as well.

Can you try something like this:

You would need a giant switch statement to extract the cut styles,