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Is roboflow image augmentation as good as it is marketed? I know yolov5 already performs augmentations on its own, so should I even use roboflow's image augmentation (e.g. both perform mosaic augmentation)? Roboflow increases the sample size, so under which circumstances is it ok to use it?
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i develop a ANN for Multiple Linear Regression, but when i plot the result he give me this
WATCH MY REGRESSION
I expect a line not a surface
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I want to do image processing. I want to have a dataset that suitable and preferably about OCD or anthor disease such that.like MRI .
I want to that dataset related to mental problems.
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i am stuck with this problem. I have generated handwritten digit using GANs. And now I want to evaluate how accurate my generated handwritten digits are. Is there any way??
The most common ways to evaluate the network is to either show the visual output as in the original gan paper (http://papers.nips.cc/paper/5423-generative-adversarial-nets) or by showing on how well they do for semi-supervised learning (http://papers.nips.cc/paper/6125-improved-techniques-for-training-gans.pdf). This means using GANs to improve classification performance for the case, where only little data is available .
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I would like to know if it is possible to read several lines from a file in parallel with my GPU in Keras. Imagine that I have a file with 50 features (i.e 50 columns) and 10k lines that I would like to process in parallel, what's the most efficient way to do it with Keras? Moreover, I don't want to train my model, since I'm already in the deployment phase of the project.
Read the entire file, create a batch with shape (10k, 50) and give it to the model:
result = model.predict(inputData)
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I am new to OpenCV. I was assigned a task to detect a STOP sign using OpenCV. After doing some research, came to know that it can be possible by building a Haar classifier and feeding it up with positive and negative images. I was wondering, is there any other way to solve this?
Maybe a simple SURF or SIFT is good enought... Have you tryed?