ims | image manipulation service , written in Go | Computer Vision library

One simple solution is to use automatic aspect on the image.

So with meshgrid, using the shape of the self.im, we first find the coordinates of the X and Y values in the 2D image. Then, we find all values whose coordinates follows the circle rule ((X - Ox) ** 2 + (Y - Oy)**2 <= R**2).

Understand the dataset:

1. the size of the image is 32 x 32
2. there are 46 different characters/alphabets

The main problem I think is the discount factor, gamma. You are setting it to 1.0, which mean that you are giving the same weight to the future rewards as the current one. Usually in reinforcement learning we care more about the immediate reward than the future, so gamma should always be less than 1.

Just to give it a try I set gamma = 0.99 and run your code:

Yes i also faced this problem, but don't worry you can install bcryptjs insted of bcrypt. it will same as bcrypt. first of all run this npm unistall bcrypt then npm install bcryptjs. it will work. but make sure you change for import package like this import bcrypt from 'bcryptjs';

It looks like the whitespace exists both in the plot and in the GUI, so the problem lies on the matplotlib side. The fig.subplots_adjust(left=0.01, right=0.99, top=0.99, bottom=0.01) method can reduce this whitespace.

You almost have it. You have multiple bounding rectangles on each digit because you are retrieving every contour (external and internal). You are using cv2.findContours in RETR_LIST mode, which retrieves all the contours, but doesn't create any parent-child relationship. The parent-child relationship is what discriminates between inner (child) and outter (parent) contours, OpenCV calls this "Contour Hierarchy". Check out the docs for an overview of all hierarchy modes. Of particular interest is RETR_EXTERNAL mode. This mode fetches only external contours - so you don't get multiple contours and (by extension) multiple bounding boxes for each digit!

Also, it seems that your images have a red border. This will introduce noise while thresholding the image, and this border might be recognized as the top-level outer contour - thus, every other contour (the children of this parent contour) will not be fetched in RETR_EXTERNAL mode. Fortunately, the border position seems constant and we can eliminate it with a simple flood-fill, which pretty much fills a blob of a target color with a substitute color.

Let's check out the reworked code:

You'll need to escape the backslashes in your path, as backslashes are special characters used to escape special characters.

You can try:

I recommend to read the answers on Time is set incorrectly after midnight for understanding the first FOR command line of the batch code below to get current year and month without using PowerShell: