
- #Python opencv region of interest how to#
- #Python opencv region of interest pdf#
- #Python opencv region of interest install#
Kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (9,9))ĭilate = cv2.dilate(thresh, kernel, iterations=4)Ĭnts = cv2.findContours(dilate, cv2.RETR_EXTERNAL, cv2. Thresh = cv2.adaptiveThreshold(blur,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV,11,30) Gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) Plt.savefig("image-with-regions.png") # <- added this to output an image Image, line_items_coordinates = mark_region(FILENAME) Is there supposed to be a window where I outline the boxes we want to extract text from? Here's what I have for the second section: import cv2įILENAME = r"C:\Users\mhiebing\Documents\GitHub_Repos\MonthlyStatsExtract\Page_1.jpg" # <- change this to be the file you want When I call the mark_region(image_path) function nothing happens. Pdfs = r"C:\Users\mhiebing\Desktop\DNR_WFH.pdf"įor the second section, I'm only looking at the first JPEG to keep things simple.
#Python opencv region of interest pdf#
I was able to use the first section of code below to split the PDF into separate pages and name them accordingly. I have a single PDF called, "DNR_WFH.pdf". Hope this answers your questions about the article intent and typos in code.ĭear or having some trouble using this code on some PDFs I'm working on, I thought either you might have some ideas on what's going wrong. Again thank you for helping out with the spell checks and typos. The gists here on Github were specifically made as a supporting material for the original article. I don't know about your ways of working but for me if Its all about getting the concept first and then jumping on to the code. As mentioned by It was just an introduction to a concept which I thought might be worth sharing with the community. My article on medium was particularly written for users exploring the document intelligence domain. Thank you for adding the few lines of comments and details to have it work properly. I’ll try this out again see if it works.ĮDIT: The additional details ended up working. Creating a simple Region of Interest (ROI) inside a video streaming using OpenCV in Python Regions of interests help to mix and add a window for several tasks, such as transformations, virtual pen. A simple one line stating to expect modifying the code because it is not complete would help users (or myself) know that it needs to be modified to work. “improved” details would be helpful to know what someone is getting them self into.
#Python opencv region of interest how to#
The way I work and pretty everyone in my field is if you’re going to do the work do it well. How to select a region of interest in OpenCV As selectROI is part of the tracking API, you need to have OpenCV 3.0 ( or above ) installed with opencvcontrib. Of course thank you for the time spent on “improving” and “correcting” the original author’s scripts. If you would like to create a command-line tool that can run this on any input image, that is something you can do (fairly easily). Where obviously you have to edit FILENAME to have it point to the file that you want. savefig( "image-with-regions.png") # <- added this to output an image pyplot as plt # FILENAME = "path/to/some_image.jpg" # <- change this to be the file you want image, line_items_coordinates = mark_region( FILENAME)
#Python opencv region of interest install#
# use this command to install open cv2 # pip install opencv-python # use this command to install matplotlib # pip install matplotlib import cv2 import matplotlib. Another error in the Medium article is the very first pdf2image script nowhere does it mention to change the "provide path to pdf file" to your filename so simple to just state in the Medium article to replace this and that to get it working instead of wasting user's time. Would you mind giving step by step with proper details? Should be super simple to follow instructions when they are properly documented. doesn't help when there are variable errors like imagE_path. Is it looking for images in the same path or which path? What file names is it looking for? Are all the scripts supposed to be run from another script and not run individually? These is such a lack of information provided in the original medium article. I don't understand how running: python3 Marking_ROI.py gives it enough information to specify what folder or image to do. Hope this answers your question it this evening but it does nothing still with the updated code you provided. If w < THRESHOLD_REGION_IGNORE or h < THRESHOLD_REGION_IGNORE:Ĭontinue image = cv2. # Find contours, highlight text areas, and extract ROIs cnts = cv2. # Dilate to combine adjacent text contours kernel = cv2. # define threshold of regions to ignore THRESHOLD_REGION_IGNORE = 40 gray = cv2. # use this command to install open cv2 # pip install opencv-python import cv2 def mark_region( image_path):

CHAIN_APPROX_SIMPLE)Ĭnts = cnts if len( cnts) = 2 else cnts # Find contours, highlight text areas, and extract ROIsĬnts = cv2.

# Dilate to combine adjacent text contours
