segmentation | Mesh segmentation library for Python | Machine Learning library

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.

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:

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

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:

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).

I am a beginner with C++ and am trying to tokenise a string such that Tokenise("45+3") = {"45","+","3"} Where the output is a vector, here is my attempt:

I'm trying to write a code in C that calculates the determinant of given n * n matrix, but I end up getting segmentation fault in the function get_subarray even though I have not exceeded the last index anywhere.

Problem: I have a class (PortableFoo) designed to be very portable. It contains a scoped class PortableBar. The surrounding codebase (call it Client A) requires both Foo and Bar to have a function that cannot be implemented portably, and Foo's implementation must call Bar's implementation. The following is a solution that compiles and works in GCC, but I know invokes undefined behavior when it casts the reference from base to derived:

I would like to read a GRIB file downloaded from server using ecCodes library in Rust. However, my current solution results in segmentation fault. The extracted example, replicating the problem, is below.

I download the file using reqwest crate and get the response as Bytes¹ using bytes(). To read the file with ecCodes I need to create a codes_handle using codes_grib_handle_new_from_file()², which as argument requires *FILE usually get from fopen(). However, I would like to skip IO operations. So I figured I could use libc::fmemopen() to get *FILE from Bytes. But when I pass the *mut FILE from fmemopen() to codes_grib_handle_new_from_file() segmentation fault occurs.

I suspect the issue is when I get from Bytes a *mut c_void required by fmemopen(). I figured I can do this like that: