copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
OpenCV erosion and dilation on colour images - Stack Overflow In case of colour images,how are colours considered to be smaller or larger? Do they indirectly convert values to gray, see the intensity and then decide which is larger? Or do they use the mean of the three colours? A third possibility is that they erode dilate separately on all three colours (R,G,B) Which one of these methods is used? opencv image-processing asked Apr 21, 2017 at 5:05
Detect and visualize differences between two images with OpenCV Python Input: 2 images with some differences Expected Output: 3 images: the two input images but with the differences highlighted (clearly highlighted in a configurable color), and a third image containing only the differences (the mask)
Training dataset with coloured and grayscale images Then you must use color images also during training if your model accepts MxNx3 image in input, then it will also accept the grayscale ones, given that you replicate the info on the 3 RGB channels You should carefully evaluate the number of examples you have, and compare it to the usual training set sizes required by the model you want to use
why we should use gray scale for image processing First of starting image processing whether on gray scale or color images, it is better to focus on the applications which we are applying Unless and otherwise, if we choose one of them randomly, it will create accuracy problem in our result
Change color of PNG image via CSS? - Stack Overflow Given a transparent PNG displaying a simple shape in white, is it possible to somehow change the color of this through CSS? Some kind of overlay or what not?
Power Signal Noise Ratio (PSNR) of colored jpeg image I have an original image and a distorted image of the original one I want to calculate the PSNR of the distorted image, so that I can measure the distortion in dB Image type is colored jpeg
matlab - How to find MSE for color images? - Stack Overflow The way I uderstand is that MSE is a measure of the image quality So you need to compare 2 images in order to have a MSE value If you did for the gray scale there should be no problem applying to color images Also you should provide the code of what you already did to improve your chances of getting a good answer
How can I use a pre-trained neural network with grayscale images? I have a dataset containing grayscale images and I want to train a state-of-the-art CNN on them I'd very much like to fine-tune a pre-trained model (like the ones here) The problem is that almos