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Title | DataTechNotes |
Description | Machine learning, deep learning, and data analytics with R, Python, and |
Keywords | N/A |
WebSite | datatechnotes.com |
Host IP | 216.239.34.21 |
Location | United States |
Site | Rank |
US$23,277,809
Last updated: 2023-04-27 02:44:55
datatechnotes.com has Semrush global rank of 454,695. datatechnotes.com has an estimated worth of US$ 23,277,809, based on its estimated Ads revenue. datatechnotes.com receives approximately 2,685,901 unique visitors each day. Its web server is located in United States, with IP address 216.239.34.21. According to SiteAdvisor, datatechnotes.com is safe to visit. |
Purchase/Sale Value | US$23,277,809 |
Daily Ads Revenue | US$21,488 |
Monthly Ads Revenue | US$644,617 |
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Daily Unique Visitors | 179,061 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
datatechnotes.com. | A | 1798 | IP: 216.239.34.21 |
datatechnotes.com. | A | 1798 | IP: 216.239.38.21 |
datatechnotes.com. | A | 1798 | IP: 216.239.36.21 |
datatechnotes.com. | A | 1798 | IP: 216.239.32.21 |
datatechnotes.com. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
datatechnotes.com. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
datatechnotes.com. | MX | 1800 | MX Record: 10 mx1.privateemail.com. |
datatechnotes.com. | MX | 1800 | MX Record: 10 mx2.privateemail.com. |
datatechnotes.com. | TXT | 1800 | TXT Record: v=spf1 include:spf.privateemail.com ~all |
DataTechNotes A blog about data science and machine learning Pages Home Archives About Image Blurring Example with OpenCV in Python Image blur refers to the effect of making an image less sharp and more difficult to distinguish the details. Although blurring is typically a negative effect in photographs, it is useful method in image processing tasks. Image blur is used in image processing for a variety of reasons, such as image smoothing, edge detection, obscuring sensitive information, and preprocessing steps. Image blur is achieved by convolving the image with a specific kernel or filter. A kernel is a small matrix that is applied to each pixel in the image. The value of each pixel in the output image is calculated by multiplying the corresponding values in the kernel with the values of the pixels in the neighborhood of the current pixel, and then summing the results. In this tutorial, you’ll briefly learn how to blur image with OpenCV API in Python. The tutorial covers; Gaussian |
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