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#### Overview
This repository will serve as a Proof-of-Concept (PoC) for a .NET project that demonstrates image recognition using TensorFlow. The goal is to build a simple application capable of reco…
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We have an issue with large images (5000> pixels). Image Workshop library is unable to handle this kind of size (memory limit).
We need to preprocess image (resize) before passing it to Image Workshop…
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### Description:
Implement image preprocessing to enhance the quality and ensure consistent input for the CNN model. This includes resizing, thresholding, and potentially augmenting the images to i…
Dv04 updated
11 months ago
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This can be written as a class as well, will contain a method which takes as input raw image data and preprocesses images by thresholding and extracting keypoints with a SIFT algorithm. This can serve…
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Hi. Thanks for the project!
A few years ago I developed an in-house ad-hoc OCR solution based on Tesseract. And want to share some suggestions. As you probably already know, Tesseract has very weak…
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Thank you for releasing the pretrained model. I am wondering how to pre-process the image before putting them into the graph? In slim, there are several options, such as inception_preprocessing, vgg_…
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The readme says to scale the RGB values between -1 and 1. Does this mean `x/128.0-1.0`, where x is an uint8 image?
I'm more used to seeing normalizing images with mean and std, so I want to make sure…
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## Summary
The top of the brain is cut off after preprocessing using 0.22.0. The same dataset had full brain coverage after preprocessing using 0.19.1. Were there changes made to the image field of v…
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Hi @peri044 I wanted to train the STT network with my data. I want to preprocess the images. Can you please point me out to the necessary python script that can help me do the same?