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direct mask support for TRANSFORM NODE

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This commit is contained in:
Alexander G. Morano
2025-03-01 18:29:21 -05:00
parent 4900212377
commit 26bdd7d799
3 changed files with 12 additions and 3 deletions
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README.md
+3
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@@ -111,6 +111,9 @@ You can colorize nodes via their `title background`, `node body` or `title text`
<img src="https://github.com/user-attachments/assets/4459855c-c4e6-4739-811e-a6c90aa5a90c" alt="TICK Node Batch Support Output" width="384"/>
</div>
**2024/02/25** @1.7.30:
* direct mask support for `TRANSFORM NODE`
**2024/02/25** @1.7.28:
* fixed import bug in widget_vector
* cleaner akashic output
core/compose.py
+8 -2
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@@ -1008,6 +1008,7 @@ Apply various geometric transformations to images, including translation, rotati
d = deep_merge(d, {
"optional": {
Lexicon.PIXEL: (JOV_TYPE_IMAGE, {}),
Lexicon.MASK: (JOV_TYPE_IMAGE, {}),
Lexicon.XY: ("VEC2", {"default": (0, 0,), "mij": -1, "maj": 1, "step": 0.01, "label": [Lexicon.X, Lexicon.Y]}),
Lexicon.ANGLE: ("FLOAT", {"default": 0, "step": 0.01}),
Lexicon.SIZE: ("VEC2", {"default": (1., 1.), "mij": 0.001, "step": 0.01, "label": [Lexicon.X, Lexicon.Y]}),
@@ -1029,6 +1030,7 @@ Apply various geometric transformations to images, including translation, rotati
def run(self, **kw) -> Tuple[torch.Tensor, ...]:
pA = parse_param(kw, Lexicon.PIXEL, EnumConvertType.IMAGE, None)
mask = parse_param(kw, Lexicon.MASK, EnumConvertType.IMAGE, None)
offset = parse_param(kw, Lexicon.XY, EnumConvertType.VEC2, [(0, 0)], -2.5, 2.5)
angle = parse_param(kw, Lexicon.ANGLE, EnumConvertType.FLOAT, 0)
size = parse_param(kw, Lexicon.SIZE, EnumConvertType.VEC2, [(1, 1)], 0.001)
@@ -1044,11 +1046,15 @@ Apply various geometric transformations to images, including translation, rotati
wihi = parse_param(kw, Lexicon.WH, EnumConvertType.VEC2INT, [(512, 512)], MIN_IMAGE_SIZE)
sample = parse_param(kw, Lexicon.SAMPLE, EnumInterpolation, EnumInterpolation.LANCZOS4.name)
matte = parse_param(kw, Lexicon.MATTE, EnumConvertType.VEC4INT, [(0, 0, 0, 255)], 0, 255)
params = list(zip_longest_fill(pA, offset, angle, size, edge, tile_xy, mirror, mirror_pivot, proj, strength, tltr, blbr, mode, wihi, sample, matte))
params = list(zip_longest_fill(pA, mask, offset, angle, size, edge, tile_xy, mirror, mirror_pivot, proj, strength, tltr, blbr, mode, wihi, sample, matte))
images = []
pbar = ProgressBar(len(params))
for idx, (pA, offset, angle, size, edge, tile_xy, mirror, mirror_pivot, proj, strength, tltr, blbr, mode, wihi, sample, matte) in enumerate(params):
for idx, (pA, mask, offset, angle, size, edge, tile_xy, mirror, mirror_pivot, proj, strength, tltr, blbr, mode, wihi, sample, matte) in enumerate(params):
pA = tensor2cv(pA) if pA is not None else channel_solid(chan=EnumImageType.BGRA)
if mask is not None:
mask = tensor2cv(mask)
pA = image_mask_add(pA, mask)
h, w = pA.shape[:2]
pA = image_transform(pA, offset, angle, size, sample, edge)
pA = image_crop_center(pA, w, h)
pyproject.toml
+1 -1
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@@ -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 = "1.7.28"
version = "1.7.30"
license = { file = "LICENSE" }
readme = "README.md"
authors = [{ name = "Alexander G. Morano", email = "amorano@gmail.com" }]