ImageRegistration-ToolBox/tmp.html at main · ShivamPR21/ImageRegistration-ToolBox · GitHub

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<div class="container-fluid gx-1">
    <div class="card-group">
        <!-- PCA feature reference -->
        <!-- <div class="col-sm-6 text-center"> -->
            <div class="card" style="max-width: 18rem;">
                <img src="static/assets/pca.jpg" class="card-img-top" alt="..." width="20%" height="50%">
                <div class="card-body text-center">
                    <h5 class="card-title">PCA analysis</h5>
                    <p class="card-text">Principal Component Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets,
                        by transforming a large set of variables into a smaller one that still contains most of the information in the large set.
                    </p>
                    <a href="./static/components/pca.html" class="btn btn-primary">Go somewhere</a>
                </div>
            </div>
        <!-- </div> -->
        <!-- PCA feature reference -->

        <!-- Image Registration reference -->
        <!-- <div class="col-sm-6 text-center"> -->
            <div class="card" style="max-width: 18rem;">
                <img src="static/assets/irtb.jpg" class="card-img-top" alt="..." width="20%" height="50%">
                <div class="card-body text-center">
                    <h5 class="card-title">PCA analysis</h5>
                    <p class="card-text">Principal Component Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets,
                        by transforming a large set of variables into a smaller one that still contains most of the information in the large set.
                    </p>
                    <a href="./static/components/pca.html" class="btn btn-primary">Go somewhere</a>
                </div>
            </div>
        <!-- </div> -->
        <!-- Image Registration reference -->
    </div>
</div>