Merge pull request #10 from mgp25/main

Dockerfile and minor updates

Dockerfile

@@ -0,0 +1,9 @@
+FROM python:3
+
+WORKDIR /current
+
+COPY . .
+
+RUN python -m pip install -r requirements.txt
+
+ENTRYPOINT ["python", "depix.py"]

README.md

@@ -26,3 +26,13 @@ The algorithm uses the fact that the linear box filter processes every block sep
 For most pixelized images Depix manages to find single-match results. It assumes these are correct. The matches of surrounding multi-match blocks are then compared to be geometrically at the same distance as in the pixelized image. Matches are also treated as correct. This process is repeated a couple of times.
 
 After correct blocks have no more geometrical matches, it will output all correct blocks directly. For multi-match blocks, it outputs the average of all matches.
+
+## Dockerfile
+
+Build:
+
+`docker build -t depix .`
+
+Run:
+
+`docker run -it --rm -v $(pwd):/data depix -p images/testimages/testimage3_pixels.png -s images/searchimages/debruinseq_notepad_Windows10_closeAndSpaced.png -o /data/output.png`

depix.py

@@ -14,9 +14,9 @@ usage = '''
 '''
 
 parser = argparse.ArgumentParser(description = usage)
-parser.add_argument('-p', '--pixelimage', help = 'Path to image with pixelated rectangle')
-parser.add_argument('-s', '--searchimage', help = 'Path to image with patterns to search')
-parser.add_argument('-o', '--outputimage', help = 'Path to output image')
+parser.add_argument('-p', '--pixelimage', help = 'Path to image with pixelated rectangle', required=True)
+parser.add_argument('-s', '--searchimage', help = 'Path to image with patterns to search', required=True)
+parser.add_argument('-o', '--outputimage', help = 'Path to output image', nargs='?', default='output.png')
 args = parser.parse_args()
 
 pixelatedImagePath = args.pixelimage