georef | friendly webapp for converting normal images | Computer Vision library

I want to get a list of transit operators and station coverage near a location. GET Request looks this way:

In a python 2.7 script, a first multiprocessing code to process a big chunk a numpy array. This is basically projection ray frameblock between an image plan and a Cartesian (world) plane. That part, called poo1, works fine.

Further in the script, I attempt to reproduce the multiprocessing code to project a lot of images with this projection ray frameblock.

It seems that only 4 to 6 workers working but all of them is ready to work filling with data. The pool2 creates workers, they are slow growing in memory usage, only up to 6 of them are using CPU power.

Screenshot:

Notes:

• There is not output return to get from the multi-processed function, the output if a file writing in a folder;
• No worry about memory size issues, half TB available;
• No worry about the order of the process;
• Number of workers is physical CPU core - 1 = 27;
• The length of the list of jobs to distribute (paramsGeoRef) can be from 1 to 250 rows.

Arguments info:

• Frameclock, massive ndarray, can be GB
• A1 : ndarray, can be hundrens of MB
• A2 : ndarray, can be hundrens of MB
• B1 : integer value
• B2 : integer value
• fileName : string, name
• D1 : string, path
• D2 : string, path
• D3 : string, path
• P1 : small array
• P2 : small array

A simplification of the code look like this:

I have this code trying to query some data from Firestore using GeoFlutterFire, but for the sake of efficiency I want to fetch the list of ids only once, then use it to fetch the rest of the data from Firebase Database. This is the code in question:

1- All the users in my app send their location to GeoFire every 2.5 minutes using a Timer.

2- Other users also query GeoFire to look for whichever users are in a 1 mile radius from them (eg. 10 users). I get those 10 users and then and add them to an array.

3- I then loop through the array with those 10 users using their userId (the geoRef key). I go to their Database ref and search to see if they fit some criteria. If they do I add them to a different array (eg 5 users are now in this subSet array)

4- Since every 2.5 minutes every user's location is sent to GeoFire, that means those 5 users in that subset might have a different location from when they were first added to the subset array.

I can use a timer to query the location on those 5 users. The question is how do I query GeoFire to get the location of each individual user from only those 5 users? I don't want query everyone within that 1 mile region again otherwise it's going to get me those same 10 users

My TableViewCell don't displays the current data I get. Using printing I get all datas I need but the are not displayed in my TbleViewCell.

Here, I created a new class with all datas for the user and the posts:

I'm now able to sort posts and users by time.

My data structure looks like that:

I have an array that is generated from a firebase database query.

I want to save that in state so that as the data changes, it will re-render the screen.

I can't seem to get the value from state into my function. If I put the value from the array, it works, but then it won't automatically re-render when data changes.

Screen shot of it using the array... note the console log is printing that the state is set correctly.

and here it is with the error

It's gotta be right around line 101, but I cannot figure out the right syntax to make thsi work.

UPDATE: I was not initializing state, that was one part of the error.

I have the georeferenced image with coordinates values like (475224.0, 4186282.0).The dimension of my image is (647, 2180). ie there are 647 columns and 2180 rows. I would like to take the coordinate values into a numpy array with size (647, 2180), so that I will get the coordinates of each pixel as an array. I code like below.