ctrs | Category Theory For Programmers | Math library
kandi X-RAY | ctrs Summary
kandi X-RAY | ctrs Summary
Please note: this repo is now archived. While the prospect of exploring CT in Rust is still interesting, I'd prefer to focus on more practical tools in the ecosystem.
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QUESTION
I am working on contour detection for the image below, however due to the lightning condition, the detection is not complete where the image displays glares. I am trying to remove them in order to get a better contour detection.
Here is the original image
And here is the grayed + thresholded image on which the cv2.connectedComponentsWithStats is ran to detect the objects. I have boxed the areas where I need to reduce exposure. (since I am using an inverse THRESH_BINARY_INV filter those areas appear black).
As you can see hereafter the object detected areas are incomplete, the cv2.connectedComponentsWithStats will not detect the complete area for the object
And then of course the contour itself which is calculated on the cropped outlined component is wrong as well:
So of course the contour itself is wrong:
Here is what I have done so far:
...ANSWER
Answered 2021-Apr-15 at 19:13My suggestion is using dilation and erosion function(or closing function) in cv2.
If you use cv2.dilate
function, white area is bigger than now.
Conversely, if you use cv2.erode
function, white area is smaller than now.
This iteration remove noise of black area.
Closing function is dilation followed by erosion.
See https://docs.opencv.org/master/d9/d61/tutorial_py_morphological_ops.html
QUESTION
We have created a contact centre with two contact flows and 1 customer queue flow. Under Metrics there are multiple report types which focus on the Queue or Agents. But what I need is to get a report based on the Customer's choice for the Get customer Input blocks. ie., path taken by the customer at each intersection. Is there a way to achieve this ?
Example: customer selected option A at level 1 and Option 3 at Level 2, contact flow name etc.. I believe these info will reside in CTRs(Contact attributes) but how to get a cumulative report on all records. Because as far I checked we can only get one contact at a time using Contact search.
...ANSWER
Answered 2020-Mar-27 at 21:04You can stream the CTR data to a redshift database using the streaming feature in Amazon Connect. The general steps are to create a kinesis stream and then turn on streaming in Amazon connect and attach the kinesis stream.
There is a quickstart to help set this up here: https://aws.amazon.com/quickstart/connect/data-streaming/
QUESTION
ANSWER
Answered 2020-Jan-25 at 13:33You set numberOfSections to 0, so there can't be displayed any data. If you want only 1 Section set it to 1, or remove the method. It is set to 1 by default.
QUESTION
I am doing a college class project on image processing. This is my original image:
I want to join nearby/overlapping bounding boxes on individual text line images, but I don't know how. My code looks like this so far (thanks to @HansHirse for the help):
...ANSWER
Answered 2019-Mar-27 at 19:59So, here comes my solution. I partially modified your (initial) code to my preferred naming, etc. Also, I commented all the stuff, I added.
QUESTION
I'm writing a simple plugin that:
- decrypts every file with a
.crypt
extension on load, prompting for a password - encrypts them on save (not reasking for the password if already asked during load ; only asking for a password if it's a new file that will be saved)
In the code below, the encryption method is trivial: the password
is an integer, and encrypting shifts every char of +password
; decrypting shifts every char of -password
(i.e. subtracts password
to the value of every char). This is not a real encryption nor a safe method ; of course I'll replace this with AES encryption or similar later, but this example, this is enough to showcase the problem I have in this question.
ANSWER
Answered 2019-Nov-27 at 07:45On the whole something like this is not as clean and seamless as we might like it to be; the underlying system assumes that a view
is associated with a file on disk and that any modifications should be tracked directly. So trying to represent the content of a view
that is associated with a file using content that doesn't appear in that file is problematic.
Although it's not as seamless, something like having a command do it's own encrypted save in the background (which would leave two files present) and capturing the content of a view, closing it and recreating the original file from it fit more in line with how Sublime expects things to work.
I tried to solve this with
def on_post_save(view):
and restore the unencrypted plaintext after a save operation. It kind of works, but then, even if the file is saved and no change has been done, then Sublime thinks the file is modified! (because unencrypted plaintext has replaced the saved encrypted version of the file).
Doing any sort of modification to the buffer marks it as being dirty
, which is why this is happening. There is only two things that can remove this status from the file.
The more obvious of these is the save
command; once Sublime persists the data to the disk it removes the dirty
flag from the file,
The other is to mark the view
as a scratch view by using view.set_scratch(True)
; views that are scratch views don't display any sort of modification status at all, so you can use this to temporarily turn off the marker that says that the file is modified.
An issue with this is that once the file is marked as being scratch
, it will never show as modified at all, no matter how many changes you make. Additionally this only stops Sublime from rendering the status as dirty; once the scratch state is removed the dirty status will return (even though view.is_dirty()
will return False
while the view is in scratch mode).
You can get around this to some extent by setting the view as scratch
and then applying a view setting to it, and having an on_modified
event listener that only triggers when that view setting is enabled and removes the scratch
state (and the setting) so that the buffer appears to be unmodified until you make a modification.
This is not without its problems; for example you can undo back through the operation that replaced the encrypted version of the file with the plain text one, which may or may not be desirable.
An alternative here is to do the file encryption saves yourself by writing files to disk manually instead of letting Sublime do it for you; in that case you're in full control and don't require the content of the buffer to change, so it will only be dirty when it's supposed to be dirty. The down side is that this would leave an unencrypted version of the file laying around (though you could delete it on_close
if desired).
When a .crypt file is loaded, the ciphertext is displayed in the editor window, how to hide this until the password is entered in the prompt?
One way to do this would be to prepare a color scheme that has an identical foreground and background character and override the color_scheme
setting in the view
until after the password is entered, at which point you could remove it. That would hide the data from view.
An alternative is to capture the data from the file and then use view.close()
to close the tab (you may also need to capture other information like the file name, for example). You would then be able to create a new empty view and populate it with the decrypted data (though you still need to do the same tricks as above so that it doesn't appear dirty.
QUESTION
I am making an OCR, I am using contours detection, I have extracted words and drawn bounding boxes but the problem is that when I crop the individual word, they are not in sorted order. I have tried sorting methods mentioned in this link to sort the contours but they work best on objects but in my case i want to make the order exact. sometimes the sorting is not the best solution it changes pattern of words as different words have different size of bounding boxes in same line and values of 'x' and 'y' varies with it. Now in same line, words with large bounding boxes are considered as one category and small ones are considered as other category and they get sorted in same fashion.This is the code to sort.
...ANSWER
Answered 2019-Nov-17 at 20:14You should start by separating out the different lines. When you have done that, you can simply process the contours left to right (sorted from x = 0 to x = width )
Start by drawing the found contours on a black background. Next, sum the rows. The sum of rows without words/contours will be 0. There is usually some space between lines of text, which will have sum = 0. You can use this to find the min and max height values for each line of text.
To find the order of the words, first look for the contours in the y range of the first line, then for the lowest x.
Code:
QUESTION
I'm trying to build a handwriting recognition system using python and opencv. The recognition of the characters is not the problem but the segmentation. I have successfully :
- segmented a word into single characters
- segmented a single sentence into words in the required order.
But I couldn't segment different lines in the document. I tried sorting the contours (to avoid line segmentation and use only word segmentation) but it didnt work. I have used the following code to segment words contained in a handwritten document , but it returns the words out-of-order(it returns words in left-to-right sorted manner) :
...ANSWER
Answered 2018-May-03 at 16:35I got the required segmentation by making a change to the above code on the line:
QUESTION
The code should detect letters and numbers with OpenCV. The problem is that it can't detect letters with two parts, for example i, j, or the arabic letters ب،ت،ث،ج،خ،ض etc.
This is my code:
...ANSWER
Answered 2019-May-10 at 10:21Cursive inline optical character recognition is not an easy task, not really from the perspective of individual character recognition but because of proper segmentation in individual characters.
A popular approach in this domain is to identify each conex item, isolate them, and build some kind of association algorithm. Basicly you will have a bunch of characters parts, some are complete characters some are not. For these incomplete items (that cannot be classified as a character on their own) check the neighborhood of that item in order to build a char with the items around it (may they be left or right, or even a bit upper or lower). The feedback of a classifier is crucial for the segmentation task.
You will find this approach in the literature under the name of: Implicit over segmentation or Recognition-based segmentation. More details in this and this papers, and for arabic characters more in this article.
QUESTION
I'm new to WPF and I found that creating a custom component for my case would be the best, so please tell me if I'm wrong at first. The purpose of this idea is to reuse it in other scenarios as needed.
The Model
:
ANSWER
Answered 2019-May-03 at 21:40There is not constructor that initializes Foo
with non-default values (which null
is for reference types). That's the reason. At least, provide such a constructor, or - more WPFic way - create a DataContext="{Binding Foo}"
; that's probably what you wanted, however your XAML
is wrong then: you are creating new
instance all the time rather than consuming the view model's Foo
instance.
P.S. More than that, for UserControl
s it is command to expose a DependencyProperty
to take the underlying model; so it would look like .
QUESTION
Given the following code (python)...
...ANSWER
Answered 2017-Nov-14 at 14:54Here is a code that answer the request. The only thing is that it doesn't order the chars in a specific way but how it recognize them.
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