h2m | Tool for converting HTML to Markdown , like html2markdown
kandi X-RAY | h2m Summary
kandi X-RAY | h2m Summary
Tool for converting HTML to Markdown, like html2markdown.
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QUESTION
I'm using TensorFlow Data and keras to construct a pipeline to train my model, and everything is working fine until this moment, using a single input image. It turns out that I need to include 2 new images with individual CNN architectures to be merged in single neural networking, totalling 3 inputs. Let me show the code:
...ANSWER
Answered 2021-Feb-03 at 11:44To solve this issue I've changed the way that my model receives the input data. I'm using a custom generator to stack the multi-input images together and pass this list to the fit method. This is my code:
QUESTION
I have created a script that allows me to periodically send multiple reminders in the form of Windows Desktop notifications at set intervals, without conflicting with each other. I did this by creating a LockedNotifier class that creates a win10toast toast notification with the process requiring a lock to prevent race conditions. I then have a 'MultiToast' class which uses a multitimer to repeatedly call the notifier class method and stores all of the parameters for Multitimer and ToastNotifier() functions as members. My code is as follows:
...ANSWER
Answered 2021-Jan-11 at 23:16The short answer is yes, you can do it by removing the ()
when you're passing the function.
When you write the ()
you're calling a function obtaining its return value, whereas, without it, you pass the function itself.
QUESTION
I need to obtain a derivative to use it later in numerical calculations. And my code doesn't work at all. I tried to use lambdify but the error is "can't convert symbols int". I read other answers for similar questions but it still doesn't work.
...ANSWER
Answered 2019-Sep-20 at 11:23I'm pretty sure you're mixing modules you shouldn't. I kept modifying your chi function until I got something that works. Nothing short of removing all math
and scipy
functions returned something that wasn't a TypeError
.
QUESTION
I am trying to convert buffer image to opencv mat by mat.at(i,j),but it runs 20 ms .It's too slow.How to improve the speed ?or another method to convert buffer image to cv::Mat?
...ANSWER
Answered 2017-Aug-11 at 07:24Just wrap pointer to cv::Mat
data:
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