Introduce pathname patterns to CLI (#11)

README.md

@@ -22,6 +22,19 @@ pip install stitching
 
 ## Usage
 
+The command line interface ([cli](https://github.com/lukasalexanderweber/stitching/tree/main/stitching/cli/stitch.py)) is available after installation
+
+`stitch -h`               show the help
+
+`stitch *`                stitches all files in the actual dir
+
+`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 dir
+
+Or use the Stitcher class in your script
+
 ```python
 import stitching
 
@@ -30,13 +43,6 @@ panorama = stitcher.stitch(["img1.jpg", "img2.jpg", "img3.jpg"])
 
 ```
 
-or using the command line interface ([cli](https://github.com/lukasalexanderweber/stitching/tree/main/stitching/cli/stitch.py)) which is available after installation
-
-```bash
-stitch -h
-stitch img1.jpg img2.jpg img3.jpg
-```
-
 ## Tutorial
 
 This package provides utility functions to deeply analyse what's

stitching/cli/stitch.py

@@ -3,9 +3,10 @@
 """
 
 import argparse
+import glob
 
 import cv2 as cv
-import numpy as np
+import numpy as 
 
 from stitching import Stitcher
 from stitching.blender import Blender
@@ -24,6 +25,7 @@
 
 parser = argparse.ArgumentParser(prog="stitch.py")
 parser.add_argument("img_names", nargs="+", help="Files to stitch", type=str)
+
 parser.add_argument(
     "--medium_megapix",
     action="store",
@@ -252,6 +254,8 @@ def main():
 
     # Extract In- and Output
     img_names = args_dict.pop("img_names")
+    if len(img_names) == 1:
+        img_names = glob.glob(img_names[0])
     img_names = [cv.samples.findFile(img_name) for img_name in img_names]
     preview = args_dict.pop("preview")
     output = args_dict.pop("output")