RESIZE_MATTE option updated to allow transparent mattes

README.md

@@ -94,6 +94,9 @@ You can colorize nodes via their `title background`, `node body` or `title text`
 
 ## UPDATES
 
+**2024/02/06** @1.7.06:
+* `RESIZE_MATTE` option updated to allow transparent mattes
+
 **2024/02/06** @1.7.05:
 * updated `QUEUE` and `QUEUE TOO` progress while loading all images as "batch"
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "jovimetrix"
 description = "Integrates Webcam, MIDI, Spout and GLSL shader support. Animation via tick. Parameter manipulation with wave generator. Math operations with Unary and Binary support. Value conversion for all major types (int, string, list, dict, Image, Mask). Shape mask generation, image stacking and channel ops, batch splitting, merging and randomizing, load images and video from anywhere, dynamic bus routing with a single node, export support for GIPHY, save output anywhere! flatten, crop, transform; check colorblindness, make stereogram or stereoscopic images, or liner interpolate values and more."
-version = "1.7.05"
+version = "1.7.06"
 license = { file = "LICENSE" }
 readme = "README.md"
 authors = [{ name = "Alexander G. Morano", email = "[email protected]" }]

sup/image/adjust.py

@@ -17,7 +17,7 @@
     image_convert, image_mask_add, image_matte, image_minmax, bgr2image, \
     cv2tensor, image2bgr, tensor2cv
 
-from .compose import image_crop_center
+from .compose import image_blend, image_crop_center
 
 from .channel import EnumPixelSwizzle, \
     channel_solid
@@ -367,9 +367,14 @@ def image_scalefit(image: TYPE_IMAGE, width: int, height:int,
                 matte:TYPE_PIXEL=(0,0,0,0)) -> TYPE_IMAGE:
 
     match mode:
-        case EnumScaleMode.MATTE | EnumScaleMode.RESIZE_MATTE:
+        case EnumScaleMode.MATTE:
             image = image_matte(image, matte, width, height)
 
+        case EnumScaleMode.RESIZE_MATTE:
+            canvas = np.full((height, width, 4), matte, dtype=image.dtype)
+            image = image_blend(canvas, image)
+            #image = image_matte(image, matte, width, height)
+
         case EnumScaleMode.ASPECT:
             h, w = image.shape[:2]
             ratio = max(width, height) / max(w, h)