# HG changeset patch # User imgteam # Date 1549741519 18000 # Node ID ed8a71e13f7bbbe0ff8ef50d1f7636848a9439ce planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/projective_transformation_points/ commit c3f4b766f03770f094fda6bda0a5882c0ebd4581 diff -r 000000000000 -r ed8a71e13f7b projective_transformation_points.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/projective_transformation_points.py Sat Feb 09 14:45:19 2019 -0500 @@ -0,0 +1,35 @@ +from skimage.transform import ProjectiveTransform +import numpy as np +import pandas as pd +import argparse + + +def warp_coords_batch(coord_map, coords, dtype=np.float64, batch_size=1000000): + tf_coords = coords.astype(np.float32) + + for i in range(0, (tf_coords.shape[0]//batch_size+1)): + tf_coords[batch_size*i:batch_size*(i+1)] = coord_map(tf_coords[batch_size*i:batch_size*(i+1)]) + + return np.unique(np.round(tf_coords).astype(coords.dtype),axis=0) + + +def transform(coords, warp_matrix, out): + indices = np.array(pd.read_csv(coords, delimiter="\t")) + a_matrix = np.array(pd.read_csv(warp_matrix, delimiter="\t", header=None)) + + trans = ProjectiveTransform(matrix=a_matrix) + warped_coords = warp_coords_batch(trans, indices) + + df = pd.DataFrame() + df['x'] = warped_coords[:,0] + df['y'] = warped_coords[:,1] + df.to_csv(out, index = False, sep="\t") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Transform coordinates") + parser.add_argument("coords", help="Paste path to .csv with coordinates to transform (tab separated)") + parser.add_argument("warp_matrix", help="Paste path to .csv that should be used for transformation (, separated)") + parser.add_argument("out", help="Paste path to file in which transformed coords should be saved (tab separated)") + args = parser.parse_args() + transform(args.coords, args.warp_matrix, args.out) diff -r 000000000000 -r ed8a71e13f7b projective_transformation_points.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/projective_transformation_points.xml Sat Feb 09 14:45:19 2019 -0500 @@ -0,0 +1,38 @@ + + of input points + + scikit-image + pandas + numpy + + + + + + + + + + + + + + + + + + + + **What it does** + + This tool performs a projective transformation of the input (moving) points. + + + 10.1016/j.jbiotec.2017.07.019 + + diff -r 000000000000 -r ed8a71e13f7b test-data/out.tsv --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/out.tsv Sat Feb 09 14:45:19 2019 -0500 @@ -0,0 +1,7 @@ +x y +18 24 +18 25 +18 26 +18 27 +20 22 +25 35 diff -r 000000000000 -r ed8a71e13f7b test-data/out2.tsv --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/out2.tsv Sat Feb 09 14:45:19 2019 -0500 @@ -0,0 +1,7 @@ +x y +18 24 +18 25 +18 26 +18 27 +20 22 +25 35 diff -r 000000000000 -r ed8a71e13f7b test-data/points_tsv.tsv --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/points_tsv.tsv Sat Feb 09 14:45:19 2019 -0500 @@ -0,0 +1,7 @@ +5 3 +10 2 +8 4 +15 15 +8 5 +8 6 +8 7 diff -r 000000000000 -r ed8a71e13f7b test-data/warp_matrix.tsv --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/warp_matrix.tsv Sat Feb 09 14:45:19 2019 -0500 @@ -0,0 +1,3 @@ +1 0 10 +0 1 20 +0 0 1