speck | based WebGL molecule renderer with the goal
kandi X-RAY | speck Summary
kandi X-RAY | speck Summary
Speck is a molecule renderer with the goal of producing figures that are as attractive as they are practical. Express your molecule clearly and with style.
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Top functions reviewed by kandi - BETA
- Implements the default prefitter .
- This function is called when the server completes .
- Search for a given selector .
- Creates a binding
- express animation
- Creates a new group matcher .
- Creates a program .
- Creates a new matcher function .
- workaround for AJAX requests
- Shot the camera
speck Key Features
speck Examples and Code Snippets
Community Discussions
Trending Discussions on speck
QUESTION
For my research project I'm trying to distinguish between hydra plant (the larger amoeba looking oranges things) and their brine shrimp feed (the smaller orange specks) so that we can automate the cleaning of petri dishes using a pipetting machine. An example of a snap image from the machine of the petri dish looks like so:
I have so far applied a circle mask and an orange color space mask to create a cleaned up image so that it's mostly just the shrimp and hydra.
There is some residual light artifacts left in the filtered image, but I have to bite the cost or else I lose the resolution of the very thin hydra such as in the top left of the original image.
I was hoping to box and label the larger hydra plants but couldn't find much applicable literature for differentiating between large and small objects of similar attributes in an image, to achieve my goal.
I don't want to approach this using ML because I don't have the manpower or a large enough dataset to make a good training set, so I would truly appreciate some easier vision processing tools. I can afford to lose out on the skinny hydra, just if I can know of a simpler way to identify the more turgid, healthy hydra from the already cleaned up image that would be great.
I have seen some content about using openCV findCountours
? Am I on the right track?
Attached is the code I have so you know what datatypes I'm working with.
...ANSWER
Answered 2021-Oct-12 at 10:58You are on the right track, but I have to be honest. Without DeepLearning you will get good results but not perfect.
That's what I managed to get using contours:
Code:
QUESTION
I'm trying to write a Python script that would "clean up" scanned images before they can be processed with Tesseract. Apart from text, the images also have some dust, scanning artifacts, weird lines at the page margins, and so on. Here's what a typical page looks like
So far, here's what I have. It tries to remove little speck of dust using cv2.ConnectedComponentsWithStats, removes horizontal and vertical lines using morphological structuring elements, and then tries to crop the image to the text. It's better than nothing since it does remove some noise, but at times it also removes actual text, and leaves some lines at the page margins:
...ANSWER
Answered 2021-Apr-18 at 22:43I would first call pytesseract.image_to_data()
on the entire image. This will give you the position and OCR confidence of all the detected words (including invalid characters at the page edge). Then determine the region containing valid text based on the position of the words at high confidence. Finally, use pytesseract.image_to_string()
on that region to obtain the text (or filter the results from pytesseract.image_to_data()
that you already have).
This approach works for the given example. If you want to remove the specks of dust you could look into "salt and pepper noise filtering" but it seems to be unnecessary.
QUESTION
ANSWER
Answered 2021-Feb-28 at 16:14You'll need to navigate over the dataSnapshot
in your onDataChange
to get to the correct child nodes.
To navigate a DataSnapshot
object you have two main approaches:
- You already know the key of the child you want to access, in which case you use the
child()
method to access that specific child node. For example, you could read the marked child in the JSON withdataSnapshot.child("Turcia/Adana/Çukurova University/Faculty of Business").children.map
, similarly to what you already tried on the reference. - You don't know the key of the child nodes, in which case you loop over the
getChildren()
property of the snapshot. For an example of the latter, see the Firebase documentation on listening for value events on a list of children.
I think you're looking for the second approach here, but in any case you're dealing with DataSnapshot
s, there are the ways to get at the data in there.
QUESTION
I have raised the SO Question here and blessed to have an answer from @Scott Boston.
However i am raising another question about an error ValueError: Columns must be same length as key
as i am reading a text file and all the rows/columns are not of same length, i tried googling but did not get an answer as i don't want them to be skipped.
ANSWER
Answered 2020-Oct-06 at 01:06I couldn't figure out a pandas way to extend the columns, but converting the rows to a dictionary made things easier.
QUESTION
I am reading a file called kids_csv
with header=None
option, this file contains every row with specific alphabets along with :
like ab:
, ad:
etc, I want the entire row to become a column where like ab:
that's starting off the line needs to be designated as a column name.
below is my dataframe:
...ANSWER
Answered 2020-Oct-05 at 16:11Try this:
QUESTION
I have a project where I have to display in a listview some recipes. Those recipes I want to fetch from a sqlite database.I tried some different ways and I am able to get the Data but dont know how to get it into the model. Everything is working fine, when I hardcode all the recipes into my model(recipe.dart):
...ANSWER
Answered 2020-Jun-23 at 12:43I think you're looking for something like this:
QUESTION
How would a pojo for this kind of json look like?
...ANSWER
Answered 2020-May-09 at 18:46Your variable name should be only ‘data’ instead of dataList.
QUESTION
Made a route in flask to read data from csv file and insert in mongodb. This is my first time writing python code so i'm trying few things what i want to do in my project.
...ANSWER
Answered 2020-Jan-12 at 11:42You've mostly answered your own question but to cover your issue, the pymongo drivers will always add an _id
field to the data on insertion.
When a document is inserted a special key, "_id", is automatically added if the document doesn’t already contain an "_id" key. Reference
See this simple example. If you don't want the _id
field, just pop it after the insert; alternatively you can take a copy of the data into a new variable before inserting it.
QUESTION
I am trying to implement the speck cipher as specified here: Speck Cipher. On page 18 of the document you can find some speck pseudo-code I want to implement.
It seems that I got a problem on understanding the pseudo-code. As you can find there, x
and y
are plaintext words with length n
. l[m-2],...l[0]
, k[0]
are key words (as for words, they have length n
right?). When you do the key expansion, we iterate for i
from 0
to T-2
, where T
are the round numbers (for example 34). However I get an IndexOutofBoundsException
, because the array with the l
's has only m-2
positions and not T-2
.
Can someone clarify what the key expansions does and how?
...ANSWER
Answered 2020-Jan-08 at 14:22Ah, I get where the confusion lies:
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