I am currently looking into structuring data and work flows for my ML end to end pipeline. I therefore have multiple problems, and ideally I am looking for one platform that can do all: Visualize and organize multiple datasets. ideally something like the Kaggle datset webinterface Do dataset exploration to quickly visualize errors in data, biases in annotations etc. Annotate images and potentially point clouds commenting functionality for all features Keep track of who annotated what on what date dataset …

I have a set of images for multimodal medical images, and after doing the segmentation, I need to register the green lines with red lines in the attached figure. Which method do you think is best for this task? (Image registration) Please see the for clarification.

I was reading this paper and came across a term "Typical Variation Normalization". What does that mean intuitively and formally? Any resources I can refer to know more about it?

A Tableau Workbook I'm working on has different users logging in to see the data for their company. In the dashboard I have created a dynamic image that shows the customer logo depending on who is logged in. I created this by going to the Map drop down and using Background Images. The field that controls which image is seen, is a customer dimension which lists all of the customers in the database. The issue I'm having is that some …

I'm working on 3d meshes dataset, i have to label it to train my deep learning model for a segmentation task like the picture shows. I spent days looking for a tool to label my 3d data but unfortunately i found nothing.. What tool i can use to label my data (3d mesh, .obj files) for segmentation task?

How can I generate profile face image, based on an input of a front face image? specifically, I'm more interested in doing it for illustrated characters. For example, given the input of the front face (left) of Homer Simpson, we'll generate his profile face (right): (source) I'm sure that that the technology exists, as evident by many "2D to 3D Avatar" results (here's one for example), so I figure what I'm looking for should be possible (and maybe easier, since …

I am training my model on almost 200 000 images, i'm using Jupyter and now after 3 days of training ( i used 800 epochs and batch-size = 600) I have this " the kernel appears to have died. It will restart automaticaly" And this appears after 143 epochs only. Can anyone help me to solve this, and also can anyone advise me something in case of using big amount of data, because i am struggling with this dataset and …

I got the following warning messages when calling the 'model.fit_generator' function on keras: Warning_1: Anaconda3\lib\site-packages\PIL\Image.py:968: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images Warning_2: Anaconda3\lib\site-packages\PIL\Image.py:2685: UserWarning: image file could not be identified because WEBP support not installed What these messages mean and how to get rid of them?

For a university project, I need to create a neural network that translates sketches of people into images. In order to implement such a neural network, I decided to implement a pix2pix GAN architecture. The neural network is trained and evaluated on a modified version of the CUFS dataset provided by my professors. While the neural network is able to perform image translations, as shown in the image pair below, I wonder if there are ways to improve the quality …

Is it possible to classify my images (cars parts) by the type of cars part(door, window ...) and also by the view of the image( front, back, right, left, top and bottom). My pictures are labelled like this: View_idPart, the view is a number from 2 to 7. I want to use a CNN model, but i don't know if this is possible? I hope that I will have some answers, I will be so grateful

Comparing two images for similarity What are the best softwares available for comparing two images having similarity and differences? Example: Margaret Thatcher & Enid Blyton.

R generated PNG output store in the BLOB column of Oracle Database table as a image. We would like to show this PNG output in obiee12c dashboard. How can we do it?

I don't know if its right place to ask this question. I was working on particle tracking of series of pictures (.tiff) of colloids. And I was Using trackpy in python. The code gives me the position of particles to subpixel accuracy. There is another step involved is of checking the subpixel accuracy. In this method we check the uniformity in the decimal part of the position a quick way to check for subpixel accuracy is to check that the …

I have one source video, let us say if the person is standing or walking in the video, the person's clothes should swap with the destination image (contain the picture of any clothes). I would like to use a GAN, like StyleGan for it. I am trying to find out the repository on Google if somebody has implemented it but I am not finding it. If you have an idea kindly share the link with me.

I want to do object detection , normally we have a size of image 256 x 256 or 128 x 128 but what if we want to feed high resolution images to the model like 8000 x 6000 then How it could be done ?

I have a very noob question - Is there a computer vision task category for the task when you describe the objective feature of the images like - brightness, focus, artefacts and hence classify the image in a certain category. It would come under classification with localisation if we were drawing the bounding box around the object but in this case one can't physically locate brightness, focus and artefacts, these are features of the images. Is there a task category …

I'm looking for a dataset of windows environment images labeled with main windows elements like window, taskbar, close button, etc., independent of the Windows version. Is there any? Edit: something like this

In some implementations of SRGAN I've noticed, that datasets consist of the high-resolution images and the low-resolution images are created later by, e.g. resizing (decreasing the size) hr-images. However, e.g. I have a dataset of both hr-images and lr-images, all of them are of the same size but lr-images are of lower quality (less details, blurred). Is it proper to use SRGAN in such case or should I use another way of image enhancing?

I have image with binary mask. I want to break the binary mask into many individual masks of same dimension, but each mask should contain only one segmentation mask. Is there a way to do it in python, or using libraries like pillow and open cv.

I stumbled across this question while working with OpenCV, which stores color images in BGR order in memory, while most other libraries I know of use RGB order. How important is this difference? Would I be able to use BGR images for an RGB-trained network? Obviously, a fire truck is red in most regions, and not blue. But don't CNNs look for texture rather than simple colors? Even assuming there is a difference - could it still make sense to …