* added SPLIT node to break images into vertical or horizontal slices

README.md

@@ -138,6 +138,11 @@ Nodes that have been migrated:
 
 [Migrated to Jovi_GLSL](https://github.com/Amorano/Jovi_GLSL)
 
+**2025/05/27** @2.1.7:
+* re-ranged all FLOAT to their maximum representations
+* clerical cleanup for JS callbacks
+* added `SPLIT` node to break images into vertical or horizontal slices
+
 **2025/05/25** @2.1.6:
 * loosened restriction for python 3.11+ to allow for 3.10+
 * * I make zero guarantee that will actually let 3.10 work and I will not support 3.10

core/trans.py

@@ -1,5 +1,6 @@
 """ Jovimetrix - Transform """
 
+from re import I
 import sys
 from enum import Enum
 
@@ -22,7 +23,7 @@ from cozy_comfyui.image.channel import \
     channel_solid
 
 from cozy_comfyui.image.convert import \
-    tensor_to_cv, cv_to_tensor_full, image_mask, image_mask_add
+    tensor_to_cv, cv_to_tensor_full, cv_to_tensor, image_mask, image_mask_add
 
 from cozy_comfyui.image.compose import \
     EnumOrientation, EnumEdge, EnumMirrorMode, EnumScaleMode, EnumInterpolation, \
@@ -188,7 +189,7 @@ Split an image into two or four images based on the percentages for width and he
             "optional": {
                 Lexicon.IMAGE: (COZY_TYPE_IMAGE, {}),
                 Lexicon.VALUE: ("FLOAT", {
-                    "default": 0.5, "min": 0, "max": 1
+                    "default": 0.5, "min": 0, "max": 1, "step": 0.001
                 }),
                 Lexicon.FLIP: ("BOOLEAN", {
                     "default": False,
@@ -219,8 +220,25 @@ Split an image into two or four images based on the percentages for width and he
         images = []
         pbar = ProgressBar(len(params))
         for idx, (pA, percent, flip, mode, wihi, sample, matte) in enumerate(params):
+            w, h = wihi
+            pA = channel_solid(w, h, matte) if pA is None else tensor_to_cv(pA)
 
-            images.append(cv_to_tensor_full(pA, matte))
+            if flip:
+                size = pA.shape[1]
+                percent = max(1, min(size-1, int(size * percent)))
+                image_a = pA[:, :percent]
+                image_b = pA[:, percent:]
+            else:
+                size = pA.shape[0]
+                percent = max(1, min(size-1, int(size * percent)))
+                image_a = pA[:percent, :]
+                image_b = pA[percent:, :]
+
+            if mode != EnumScaleMode.MATTE:
+                image_a = image_scalefit(image_a, w, h, mode, sample)
+                image_b = image_scalefit(image_b, w, h, mode, sample)
+
+            images.append([cv_to_tensor(img) for img in [image_a, image_b]])
             pbar.update_absolute(idx)
         return image_stack(images)
 

node_list.json

@@ -37,6 +37,7 @@
     "ROUTE (JOV) \ud83d\ude8c": "Routes the input data from the optional input ports to the output port, preserving the order of inputs",
     "SAVE OUTPUT (JOV) \ud83d\udcbe": "Save images with metadata to any specified path",
     "SHAPE GEN (JOV) \u2728": "Create n-sided polygons",
+    "SPLIT (JOV) \ud83c\udfad": "Split an image into two or four images based on the percentages for width and height",
     "STACK (JOV) \u2795": "Merge multiple input images into a single composite image by stacking them along a specified axis",
     "STRINGER (JOV) \ud83e\ude80": "Manipulate strings through filtering",
     "SWIZZLE (JOV) \ud83d\ude35": "Swap components between two vectors based on specified swizzle patterns and values",

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "jovimetrix"
 description = "Animation via tick. Parameter manipulation with wave generator. Unary and Binary math support. Value convert int/float/bool, VectorN and Image, Mask types. Shape mask generator. Stack images, do channel ops, split, merge and randomize arrays and batches. Load images & video from anywhere. Dynamic bus routing. Save output anywhere! Flatten, crop, transform; check colorblindness or linear interpolate values."
-version = "2.1.6"
+version = "2.1.7"
 license = { file = "LICENSE" }
 readme = "README.md"
 authors = [{ name = "Alexander G. Morano", email = "amorano@gmail.com" }]