Merge main into video watermark pipeline

packaging/conda/recipe.yaml

@@ -1,7 +1,7 @@
 schema_version: 1
 
 context:
-  version: "0.20.2"
+  version: "0.22.0"
   python_min: "3.10"
 
 package:
@@ -10,7 +10,7 @@ package:
 
 source:
   url: https://pypi.org/packages/source/r/remove-ai-watermarks/remove_ai_watermarks-${{ version }}.tar.gz
-  sha256: 99a3991d30c80e1719122464a26befd2f372cfa8e3b1b3909f2869fce35e0f24
+  sha256: 00549927083c2b60444dd8404830c7333899a9345aacc41d43b21a77c63b8dd0
 
 build:
   noarch: python
@@ -25,17 +25,10 @@ requirements:
   run:
     - python >=${{ python_min }}
     - pillow >=10.0.0
-    - pillow-heif >=0.13.0
     - piexif >=1.1.3
-    - numpy >=1.24.0
-    - py-opencv >=4.8.0
     - click >=8.0.0
     - python-dotenv >=1.0.0
-    # PyAV packetizes processed VFR frames with explicit PTS before system
-    # ffmpeg encodes them. Conda's Python constraint selects the compatible
-    # 16.x line on Python 3.10 and the current line on newer interpreters.
-    - av >=16
-    # c2pa-python is a core PyPI dependency but is not packaged on conda-forge.
+    # c2pa-python is a default PyPI dependency but is not packaged on conda-forge.
     # The guarded import falls back to the built-in C2PA byte scanner when it is
     # absent. Add it here once a c2pa-python feedstock exists.
 
@@ -54,14 +47,12 @@ tests:
 
 about:
   homepage: https://github.com/wiltodelta/remove-ai-watermarks
-  summary: Remove visible and invisible AI watermarks from images
+  summary: Inspect and strip AI provenance metadata from media
   description: |
-    Detect and remove registered visible AI-provenance marks and strip
-    AI-provenance metadata (C2PA, EXIF, IPTC, and PNG text chunks) from images
-    and supported video containers. The core package covers the identify,
-    metadata, visible, erase, and product-oriented video command surface. Optional
-    pip extras add SynthID diffusion removal and additional invisible-watermark
-    detectors.
+    Inspect and strip AI-provenance metadata (C2PA, EXIF, IPTC, and PNG text
+    chunks) from images and supported video containers. Optional pip extras add
+    visible watermark removal, video processing, SynthID diffusion removal, and
+    additional invisible-watermark detectors.
   license: Apache-2.0
   license_file: LICENSE
   repository: https://github.com/wiltodelta/remove-ai-watermarks