I’m working on a project just for fun, and my goal is to play online poker and have the program identify the cards that are on the table. I am using OpenCV with python to isolate the area where the cards are going to be. I have been able to take an image of that area, grayscale and threshold it, and draw a contour around the edge of the card. I am now stuck on how to move forward.
I have this issue where I try to import cv2 on Python and get the following error message.
a = sorted(keypoints, key=lambda p: (p[0]) + (p1))[0] # find upper left point
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
I’m developing a Python module, with OpenCV, that connects to an RTSP stream to perform some preprocessing on the video (mostly, reducing fps and resolution), and then store it in the file system.
I’m trying understand what 0xFF does under the hood in the following code snippet:
Using the following code I can remove horizontal lines in images. See result below.
I am trying to save the video but it’s not working.
I followed the instructions from the openCV documentation.
I have been trying to count cars when crossing the line and it works, but the problem is it counts one car many times which is ridiculous because it should only be counted once.
Given below is the code written for getting live stream from an IP Camera.
In order to filter a color out of an image, it’s necessary to set boundaries as to which color needs to be detected. I have a feeling this is mostly a trial-and-error process. Are there any ways to quickly find the correct thresholds for a particular color? In this specific case I’m trying to detect the gray area of the graph in the picture below. This without detecting the dotted lines of course. For this example I need very specific boundaries. The question is, how can I find them easily?
