small docker improvements

.dockerignore

@@ -1,8 +1 @@
-# Ignore everything
-*
-
-# But not these files...
-!README.md
-!stitching/
-!pyproject.toml
-!setup.cfg
+__pycache__/

Dockerfile

@@ -1,17 +1,20 @@
 FROM python:3.11 AS builder
 
 WORKDIR /stitching
-COPY . .
-RUN pip install build
-# we use opencv headless within docker, otherwise we get errors
-RUN sed -i 's/opencv-python/opencv-python-headless/g' setup.cfg
-RUN python -m build
+
+COPY setup.cfg pyproject.toml README.md .
+COPY stitching/ ./stitching/
+
+RUN pip install --no-cache-dir build && \
+    sed -i 's/opencv-python/opencv-python-headless/g' setup.cfg && \
+    python -m build
 
 FROM python:3.11-slim
 
 WORKDIR /stitching
 COPY --from=builder /stitching/dist/stitching-*.whl .
-RUN pip install stitching-*.whl
+RUN pip install --no-cache-dir stitching-*.whl && \
+    rm stitching-*.whl
 
 # compile largestinteriorrectangle (JIT)
 RUN python -c "import largestinteriorrectangle"

README.md

@@ -33,15 +33,15 @@ is available after installation
 
 `stitch -h`               show the help
 
-`stitch *`                stitches all files in the current directory
+`stitch *.jpg`            stitches all jpg files in the current directory
 
 `stitch img_dir/IMG*.jpg` stitches all files in the img_dir directory
 starting with "IMG" and ending with ".jpg"
 
 `stitch img1.jpg img2.jpg img3.jpg`
 stitches the 3 explicit files of the current directory
 
-Enable verbose mode with `stitch * -v`.
+Enable verbose mode with `stitch *.jpg -v`.
 This will create a folder where all intermediate results are stored so that
 you can find out where there are problems with your images, if any
 
@@ -56,9 +56,7 @@ Docker image
 /path/to/data:/data openstitching/stitch:{version} -h`
 
 You can use the Python CLI as described above
-(read "current directory" as "/data directory"). NOTE a single `*` wont
-work in linux because of the host shell expansion, you must use more
-explicit file pattern / file names.
+(read "current directory" as "/data directory").
 
 ### Python Script