Using python to analyze a FITS image for a star count - python

I have several FITS images taken with my telescope and I need help with a python code to analyze the images and obtain a star count for each image. I don't have any code yet because I'm extremely new to python. Any help would be greatly appreciated.

I am not sure how helpful it can be, but the good starting point is
Astropy Docs.
But I think you can just use imstar

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Breaking Down 3D models up to lines and curves

I'm working on a project to breakdown 3D models but I'm quite lost. I hope you can help me.
I'm getting a 3D model from Autodesk BIM and the format could be native or generic CAD formats (.stp, .igs, .x_t, .stl). Then, I need to "measure" somehow the maximum dimensions to model a raw material body, it will always have the shape of a huge panel. Once I get both bodies, I will get the difference to extract the solids I need to analyze; and, on each of these bodies, I need to extract the faces, and then the lines or curves of each face.
This sounds something really easy to do on a CAD software, but the idea is to automate this process. I was looking into openSCAD, but seems that works only to model geometry and it doesn't handle well imported solids. I'm leaving a picture with the idea of what I need to do in the link below.
So, Any idea how can I do this? which langue and library can help in this project?
I can see this automation possible with a few in between steps:
OpenSCAD can handle differences well, so your "Extract Bodies" seems plausible
1.5 Before going further, you'll have to explain how you "filtered out" the cylinder. Will you do this manually? If you don't, you will have it considered for analysis and have a lot of faces as a result.
I don't think openSCAD provides you a vertex array. However, it can save to .STL, which is kinda easy to parse with the programming language of your choice, you'll have to study .stl file structure a bit (this sounds much more frightening than it is - if you open an stl with an editor you will probably immediately realize what's happening).
Since you've parsed the file, you can now calculate lines with high school math.
This is not an easy, GUI way to do what you ask, but if you have a few skills you'll have your automation, and depending on the amount of your projects it may be worth it.
I have been working in this project, and foundt the library "trimesh" is better to solve this concern. Give it a shot, and save some time.

Using DTW to align video sequences

I'm working on a project where I have to match one video sequence with the other. The actions and motions of the two videos are similar, since the video that I'm matching with is doing the exact same movement as the other one. And currently, I'm leaning towards using dynamic time warping(DTW) to align those two videos, but I have some trouble coming up with an idea to do so. So I'm wondering if you guys have any source code that I can work with or any ideas on how to dissect this problem. Thank you
a starting point would be to understand DTW https://www.cs.unm.edu/~mueen/DTW.pdf

How to convert time series data into image?

I have a dataset where I have 12000+ data points and 25 features out of which last feature is the class label. This is classification problem. Now, I want to convert every data points into image, . I have no idea how to do that. Please help. I work on Python. If anyone have could provide sample code I will be grateful. Thanks in advance.
There is already some work on that, you can use either Gramian Angular Fields (GAF) or Markov Transition Fields (MTF), a good description is in Imaging Time-Series to Improve Classification and Imputation. Also, some other works used recurrent plots as Deep-Gap: deep learning framework. Imaging TS is an interesting way to think about them so you can use e.g. CNNs easily. But which method you like to use? BTW be aware this might not be an "efficient" way to classify time series :)

Analyse beat intensity

I'm trying to work on a machine learning application, and I need to analyze a .wav file and retrieve the "intensity" of each beat.
You know when you look at the waves of a .wav file, and some beats are bigger than the other (or taller)? How do I analyse that, and get those values as numbers with timestamps?
I tried looking into the Aubio library, but I'm not sure if it'd help me a lot, it's not that well documented.
I didn't really write any code, just been researching into this, and I'd appreciate if someone could give me a step in the right direction.

How to scrape every tick data from IQO binary traderoom using python or mql5?

Here have a look at the image:
As you can see that in the image I have marked the TickData and the respective Time.
I am willing to scrape it and use it in the MT5 software or anywhere in real time. I am trying to get the live values from the binary IQOption and use it for analysis. But I am lacking ideas how I can do it.
Kindly, suggest me the way so that I can do it easily. I need guidance. Please help me.

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