load_image | An onload handler for images supporting cached data | Reactive Programming library

I am trying to show list of selected images sequentially on a label image, but all the attempts I have skip to the last image. Please help

Please bear with me. I'm new to CoreML and machine learning. I have a CoreML model that I was able to convert from a research paper implementation that used Caffe. It's a CSRNet, the objective being crowd-counting. After much wrangling, I'm able to load the MLmodel into Python using Coremltools, pre-process an image using Pillow and predict an output. The result is a MultiArray (from a density map), which I've then processed further to derive the actual numerical prediction.

How do I add a custom layer as an output to the model that takes the current output and performs the following functionality? I've read numerous articles, and am still at a loss. (Essentially, it sums the values all the values in the MultiArray) I'd like to be able to save the model/ layer and import it into Xcode so that the MLModel result is a single numerical value, and not a MultiArray.

This is the code I'm currently using to convert the output from the model into a number (in Python):

So I am creating a game in Tkinter similar to Geometry Dash and I want to move a label which is the main Character but I don't know how.

I tried using a class and self. main character and stuff like that but it does not work(at least the way that I have tried it). Here it my code so far:

I'm working on a tkinter GUI to display images from certain directories. The GUI features a plot button that updates the image. In the fully-functional GUI, the image can be updated with a variety of changes, including image source, but the example below does not include this and plots only an identical image. The plot function uses a matplotlib Figure and a tk Canvas to return an object that can be gridded, as well as the original Figure for the purpose of garbage collection.

The second time the plot function is called, the GUI closes without any error message. In the example below, the plot function is used on init, then again when the button is pressed. However, I've tried it with a simplified plot function on init (shown below the example), and the GUI only closes when the real plot function is operated the second time.

I have reviewed the tutorial numerous times but still, I have this error. After the first video in the series, he is able to display the board. The error highlights ChessEngine on my import statement.

this is my primary resource: https://www.youtube.com/watch?v=EnYui0e73Rs&t=2095s

This is the error: ImportError: cannot import name 'ChessEngine' from 'Chess' (unknown location)

pls halp

my code is the following

Got some code, and stumped on a question: How to resize image with pygame.transform.scale? Looked at the docs, but can't understand it. I'm puzzled on the player.py part.

So here's my code:

elves.py:

I have this problem I know quite a lot of people heard about. I upgraded from my laptop with GTX 1050 Ti to a PC with RTX 3060 Ti. I'm running everything in an Anaconda Virtual Environment. I've copied my env from the laptop to the PC. Now the TensorFlow GPU takes a lot of time to start up. Even if I write the 2 lines of code:

When I load my png image with transparent background as a sprite image there are very weird background on it. I used Photoshop to draw the image.

Also, there are an error: libpng warning: iCCP: known incorrect sRGB profile

It appears only when I close the pygame window.

I attach my code, png image and screenshot of how does it works below.

Iam a beginner and I am learning to code an image classifier. My goal is to create a predict function.

in this project I want to make a car prediction model, I have a problem when I will load_image from the keras.preprocessing function there is an error JpegImageFile' object has no attribute 'load_img'

this is my code