renaming and license/description headers

jp4.py

-__copyright__ = "Copyright 2018, Elphel, Inc."
-__license__ = "GPL-3.0+"
-__maintainer__ = "Oleg Dzhimiev"
-__email__ = "oleg@elphel.com"
+'''
+SPDX-License-Identifier: GPL-3.0-or-later
+Copyright (c) 2020, Elphel, Inc.
+
+Author:      Oleg Dzhimiev <oleg@elphel.com>
+Description: Class for converting JP4 raw images to
+             JPEG for previewing
+'''
 
 import numpy as np
 #import imageio

jp4_batch_convert.py

 #!/usr/bin/env python3
 
+'''
+SPDX-License-Identifier: GPL-3.0-or-later
+Copyright (c) 2020, Elphel, Inc.
+
+Author:      Oleg Dzhimiev <oleg@elphel.com>
+Description: Converts jp4 images to jpeg for preview
+             Scans all images in src-dir and puts results to dst-dir
+'''
+
 from jp4_composite import JP4_C
 #import cv2
 import numpy as np
@@ -30,10 +39,11 @@ for f in lst:
     #print(img.exif.data['Model'])
     img.deblock()
     img.demosaic_bilinear()
-    img.saturation()
+    img_arr = img.saturation()
+    im = Image.fromarray(img_arr.astype(np.uint8))
+    im.save(os.path.join(dst,img.basename+"_"+str(img.subnames)+".jpeg"))
 
-    subs = img.extract_subframes()
-    for i in range(len(subs)):
+    #subs = img.extract_subframes()
+    #for i in range(len(subs)):
       #subs[i].save(os.path.join("../res",img.basename+"_"+str(img.subnames[i])+".png"))
-      subs[i].save(os.path.join(dst,img.basename+"_"+str(img.subnames[i])+".jpeg"))
-
+    #  subs[i].save(os.path.join(dst,img.basename+"_"+str(img.subnames[i])+".jpeg"))

jp4_batch_convert_singles.py → jp4_batch_convert_eyesis4pi.py

 #!/usr/bin/env python3
 
+'''
+SPDX-License-Identifier: GPL-3.0-or-later
+Copyright (c) 2020, Elphel, Inc.
+
+Author:      Oleg Dzhimiev <oleg@elphel.com>
+Description: Converts composite jp4 images from Eyesis4Pi-like camera or
+             camera with mux. A "composite" image consists of 2-3 images stacked
+             vertically.
+             Scans all images in src-dir and puts results to dst-dir.
+'''
+
 from jp4_composite import JP4_C
 #import cv2
 import numpy as np
@@ -30,12 +41,9 @@ for f in lst:
     #print(img.exif.data['Model'])
     img.deblock()
     img.demosaic_bilinear()
-    img_arr = img.saturation()
-    im = Image.fromarray(img_arr.astype(np.uint8))
-    im.save(os.path.join(dst,img.basename+"_"+str(img.subnames)+".jpeg"))
+    img.saturation()
 
-    #subs = img.extract_subframes()
-    #for i in range(len(subs)):
+    subs = img.extract_subframes()
+    for i in range(len(subs)):
       #subs[i].save(os.path.join("../res",img.basename+"_"+str(img.subnames[i])+".png"))
-    #  subs[i].save(os.path.join(dst,img.basename+"_"+str(img.subnames[i])+".jpeg"))
-
+      subs[i].save(os.path.join(dst,img.basename+"_"+str(img.subnames[i])+".jpeg"))

jp4_composite.py

+'''
+SPDX-License-Identifier: GPL-3.0-or-later
+Copyright (c) 2020, Elphel, Inc.
+
+Author:      Oleg Dzhimiev <oleg@elphel.com>
+Description: Class for converting composite JP4 raw images to
+             JPEG for previewing.
+             Composite images consist of 2-3 single ones stacked vertically - 
+             for example in Eyesis4Pi panoramic camera.
+             The methods here are specifically for Eyesis4Pi - channels are
+             hardcoded.
+'''
 
 import re
 import os