segment | A JavaScript library to draw and animate SVG path strokes | Animation library
kandi X-RAY | segment Summary
kandi X-RAY | segment Summary
A JavaScript library to draw and animate SVG path strokes. Read this article to understand how it works.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of segment
segment Key Features
segment Examples and Code Snippets
def _ragged_segment_aggregate(unsorted_segment_op,
data,
segment_ids,
num_segments,
separator=None,
def segment_ids_to_row_splits(segment_ids, num_segments=None,
out_type=None, name=None):
"""Generates the RaggedTensor `row_splits` corresponding to a segmentation.
Returns an integer vector `splits`, where `splits[
def unsorted_segment_mean(data, segment_ids, num_segments, name=None):
r"""Computes the mean along segments of a tensor.
Read [the section on
segmentation](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/math#about_segmentation)
Community Discussions
Trending Discussions on segment
QUESTION
I have basically this very odd type of data frame:
The first column is the name of the States (say I have 3 states), the second to the last column (say I have 5 columns) contains some values recorded at different dates (not continuous). I want to create a graph that plots the values for each State on the range of the dates that starts from the earliest and end in the latest dates (continuous).
The table looks like this:
state 2020-01-01 2020-01-05 2020-01-06 2020-01-10 AZ NA 0.078 -0.06 NA AK 0.09 NA NA 0.10 MS 0.19 0.21 NA 0.38"NA" means there is not data.
How do I produce this graph in which the x axis is from 2020-01-01 to 2020-01-10 (continuous), the y axis contains the changing values (as points) of the three States, each state occupies its separate (segmented) y-axis?
Thank you.
...ANSWER
Answered 2021-Jun-16 at 03:41You can get the data into a long format, which makes it easier to plot. R will make it difficult to read column names that start with a number. While reading the data, ensure that you have check.names = FALSE
so that column names are read as is.
QUESTION
I need to find the intersection of two arrays and print out the number of elements in the intersection of the two arrays. I must also account for any duplicate elements in both the arrays. So, I decide to take care of the duplicate elements by converting the two arrays into sets and then take the intersection of both the sets. However, I encounter a segmentation fault when I run my code. I'm not sure where this occurs, any way to fix this?
...ANSWER
Answered 2021-Jun-15 at 14:37set_intersection
does not allocate memory: https://en.cppreference.com/w/cpp/algorithm/set_intersection
You need a vector
with some space. Change vector v;
to vector v(n+m);
QUESTION
I am crunching large amounts of data without a hitch until I added more data. The results are written to file as strings, but I received this error message and I am unable to find programming error after combing my codes for 2 days; my codes have been working fine before new data were added.
...ANSWER
Answered 2021-Jun-15 at 07:04First of all: a Rat
with a denominator of 0
is a perfectly legal Rational value. So creating a Rat
with a 0 denominator will not throw an exception on creation.
I see two issues really:
- how do you represent a
Rat
with a denominator of0
as a string? - how do you want your program to react to such a
Rat
?
When you represent a Rat
s as a string, there is a good chance you will lose precision:
QUESTION
In my iOS app "Progression" there is rarely a crash (1 crash in ~1000+ Sessions) I am currently not able to fix. The message is
Progression: protocol witness for TrainingSetSessionManager.update(object:weight:reps:) in conformance TrainingSetSessionDataManager + 40
This crash points me to the following method:
...ANSWER
Answered 2021-Jun-15 at 13:26While editing my initial question to add more context as Jay proposed I think it found the issue.
What probably happens? The view where the crash is, contains a table view. Each cell will be configured before being presented. I use a flag which holds the information, if the amount of weight for this cell (it is a strength workout app) has been initially set or is a change. When prepareForReuse is being called, this flag has not been reset. And that now means scrolling through the table view triggers a DB write for each reused cell, that leads to unnecessary writes to the db. Unnecessary, because the exact same number is already saved in the db.
My speculation: Scrolling fast could maybe lead to a race condition (I have read something about that issue with realm) and that maybe causes this weird crash, because there are multiple single writes initiated in a short time.
Solution: I now reset the flag on prepareForReuse to its initial value to prevent this misbehaviour.
The crash only happens when the cell is set up and the described behaviour happens. Therefor I'm quite confident I fixed the issue finally. Let's see. -- I was not able to reproduce the issue, but it also only happens pretty rare.
QUESTION
I need a way to force the compaction of the __consumer_offsets topic. In a test environment I tried to delete the file cleaner-offset-checkpoint and then kafka deleted many segments as you can see below. Is it safe to delete this file in a production environment?
Before removing cleaner-offset-checkpoint:
...ANSWER
Answered 2021-Jun-15 at 13:24cleaner-offset-checkpoint
is in kafka logs directory. This file keeps the last cleaned offset
of the topic partitions in the broker like below.
QUESTION
I have a dataframe:
...ANSWER
Answered 2021-Jun-15 at 12:37The format of df
seems weird (data points in columns, not rows).
Below is not the cleanest solution at all:
QUESTION
I am solving this problem on dynamic array in which input first line contains two space-separated integers,n, the size of arr to create, and q, the number of queries, respectively.
Each of the q subsequent lines contains a query string,queries[i]
. it expects to return int[]
: the results of each type 2 query in the order they are presented.
i tried to attempt as below and my code seems fine to me but it gives segmentation fault error. please help me where I am getting conceptually wrong. thanks.
problem: Declare a 2-dimensional array,arr
, of n
empty arrays. All arrays are zero indexed.
Declare an integer,last answer , and initialize it to zero
.
There are 2
types of queries
, given as an array of strings for you to parse:
Query: 1 x y
Let idx=((queries[i][1]^last_answer)%n);
.
Append the integer y to arr[idx]
.
Query: 2 x y
Let idx=((queries[i][1]^last_answer)%n);
.
Assign last_answer=arr[idx][queries[i][2]%(arr[idx].size())]
.
Store the new value of last_answer
to an answers array.
input: 2 5
1 0 5
1 1 7
1 0 3
2 1 0
2 1 1
output:
7
3
...ANSWER
Answered 2021-Jun-15 at 11:25You are accessing elements of vector
without allocating them.
resize()
is useful to allocate elements.
QUESTION
The problem is the following: I got a png file : example.png
that I filter using chan vese of
skimage.segmentation.chan_vese
- It's return a png file in black and white.
i detect segments around my new png file with
cv2.ximgproc.createFastLineDetector()
- it's return a list a segment
But the list of segments represent disjoint segments.
I use two naive methods to polygonize this list of segment:
-It's seems that cv2.ximgproc.createFastLineDetector()
create a almost continuous list so I just join by creating new segments:
ANSWER
Answered 2021-Jun-15 at 06:36So I use another library to solve this problem: OpenCV-python
We got have also the detection of segments( which are not disjoint) but with a hierarchy with the function findContours
. The hierarchy is useful since the function detects different polygons. This implies no problems of connections we could have with the other method like explain in the post
QUESTION
I would like to find minimum distance of each voxel to a boundary element in a binary image in which the z voxel size is different from the xy voxel size. This is to say that a single voxel represents a 225x110x110 (zyx) nm volume.
Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt (https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.ndimage.morphology.distance_transform_edt.html) but this gives the assume that isotropic sizes of the voxel:
...ANSWER
Answered 2021-Jun-15 at 02:32Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt but this gives the assume that isotropic sizes of the voxel:
It does no such thing! You are looking for the sampling=
parameter. From the latest version of the docs:
Spacing of elements along each dimension. If a sequence, must be of length equal to the input rank; if a single number, this is used for all axes. If not specified, a grid spacing of unity is implied.
The wording "sampling" or "spacing" is probably a bit mysterious if you think of pixels as little squares/cubes, and that is probably why you missed it. In most situations, it is better to think of pixels as point samples on a grid, with fixed spacing between samples. I recommend Alvy Ray's a pixel is not a little square for a better understanding of this terminology.
QUESTION
I wanted to perform a simple calculation of the covariance within a more complex flask app. Below I created a minimal random example without flask (which is actually working) of the calculation causing the problems (in the flask/waitress setup).
...ANSWER
Answered 2021-Jun-14 at 09:34Updating all packages solved the issue
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