Merge pull request #831 from Bing-su/dev

v26.2.0

.github/workflows/pypi.yml

@@ -3,6 +3,7 @@ on:
   push:
     tags:
       - "v*"
+  workflow_dispatch:
 
 jobs:
   test:
@@ -17,10 +18,11 @@ jobs:
     needs: [test]
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
+      - uses: astral-sh/setup-uv@v7
 
       - name: Build wheel
-        run: pipx run build
+        run: uv build
 
       - name: Publish to PyPI
         uses: pypa/gh-action-pypi-publish@release/v1

.github/workflows/stale.yml

@@ -7,7 +7,7 @@ jobs:
   stale:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/stale@v9
+      - uses: actions/stale@v10
         with:
           days-before-stale: 17
           days-before-close: 3

.github/workflows/test.yml

@@ -4,7 +4,9 @@ on:
   pull_request:
     paths:
       - "adetailer/**.py"
+      - ".github/workflows/test.yml"
   workflow_call:
+  workflow_dispatch:
   schedule:
     - cron: "0 0 * * 0"
 
@@ -13,18 +15,21 @@ jobs:
     name: Test on python ${{ matrix.python-version }}
     runs-on: macos-latest
     strategy:
+      fail-fast: false
       matrix:
         python-version:
           - "3.10"
           - "3.11"
           - "3.12"
+          - "3.13"
+          - "3.14"
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
 
-      - uses: astral-sh/setup-uv@v5
+      - uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
 
       - name: Run tests
-        run: uv run --all-extras pytest -v
+        run: uv run --all-extras --with 'git+https://github.com/ultralytics/CLIP.git' pytest -v

.pre-commit-config.yaml

@@ -5,7 +5,7 @@ exclude: ^modules/
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
       - id: check-added-large-files
         args: [--maxkb=100]
@@ -19,13 +19,13 @@ repos:
       - id: mixed-line-ending
 
   - repo: https://github.com/rbubley/mirrors-prettier
-    rev: v3.5.3
+    rev: v3.8.1
     hooks:
       - id: prettier
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.9.9
+    rev: v0.15.0
     hooks:
-      - id: ruff
+      - id: ruff-check
         args: [--fix, --exit-non-zero-on-fix]
       - id: ruff-format

.vscode/extensions.json

@@ -1,7 +1,6 @@
 {
   "recommendations": [
     "ms-python.vscode-pylance",
-    "ms-python.black-formatter",
     "kevinrose.vsc-python-indent",
     "charliermarsh.ruff",
     "shardulm94.trailing-spaces"

CHANGELOG.md

@@ -1,5 +1,10 @@
 # Changelog
 
+## 2026-02-05
+
+- v26.2.0
+- segmentation 모델의 마스크 dtype이 uint8로 변경된 것에 대응
+
 ## 2025-03-10
 
 - v25.3.0
@@ -121,7 +126,6 @@
 - YOLO World 모델 추가: 가장 큰 yolov8x-world.pt 모델만 기본적으로 선택할 수 있게 함.
 - lllyasviel/stable-diffusion-webui-forge에서 컨트롤넷을 사용가능하게 함 (PR #517)
 - 기본 스크립트 목록에 soft_inpainting 추가 (https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14208)
-
   - 기존에 설치한 사람에게 소급적용되지는 않음
 
 - 감지모델에 대한 간단한 pytest 추가함
@@ -348,7 +352,6 @@
   - `ad_inpaint_full_res` → `ad_inpaint_only_masked`
   - `ad_inpaint_full_res_padding` → `ad_inpaint_only_masked_padding`
 - mediapipe face mesh 모델 추가
-
   - mediapipe 최소 버전 `0.10.0`
 
 - rich traceback 제거함

aaaaaa/traceback.py

@@ -1,4 +1,4 @@
-from __future__ import annotations  # noqa: A005
+from __future__ import annotations
 
 import io
 import platform

adetailer/__version__.py

@@ -1 +1 @@
-__version__ = "25.3.0"
+__version__ = "26.2.0"

adetailer/ultralytics.py

@@ -61,11 +61,12 @@ def mask_to_pil(masks: torch.Tensor, shape: tuple[int, int]) -> list[Image.Image
     """
     Parameters
     ----------
-    masks: torch.Tensor, dtype=torch.float32, shape=(N, H, W).
-        The device can be CUDA, but `to_pil_image` takes care of that.
+    masks: torch.Tensor, dtype=torch.float32 or torch.uint8, shape=(N, H, W).
+        uint8 tensor is expected to have values 0 or 1 (not 0-255).
 
     shape: tuple[int, int]
         (W, H) of the original image
     """
+    masks = masks.float()
     n = masks.shape[0]
     return [to_pil_image(masks[i], mode="L").resize(shape) for i in range(n)]

install.py

@@ -47,7 +47,7 @@ def install():
     deps = [
         # requirements
         ("ultralytics", "8.3.75", None),
-        ("mediapipe", "0.10.13", "0.10.15"),
+        ("mediapipe", "0.10.13", None),
         ("rich", "13.0.0", None),
     ]
 

pyproject.toml

@@ -1,34 +1,34 @@
 [project]
 name = "adetailer"
 description = "An object detection and auto-mask extension for stable diffusion webui."
-authors = [{ name = "dowon", email = "ks2515@naver.com" }]
-requires-python = ">=3.9"
 readme = "README.md"
+requires-python = ">=3.9"
 license = { text = "AGPL-3.0" }
-dependencies = [
-    "ultralytics>=8.2",
-    "mediapipe>=0.10.13",
-    "pydantic<3",
-    "rich>=13",
-    "huggingface_hub",
-]
+authors = [{ name = "dowon", email = "ks2515@naver.com" }]
 keywords = [
+  "adetailer",
   "stable-diffusion",
   "stable-diffusion-webui",
-    "adetailer",
   "ultralytics",
 ]
 classifiers = [
   "License :: OSI Approved :: GNU Affero General Public License v3",
   "Topic :: Scientific/Engineering :: Image Recognition",
 ]
+dependencies = [
+  "huggingface-hub",
+  "mediapipe>=0.10.13",
+  "pydantic<3",
+  "rich>=13",
+  "ultralytics>=8.2",
+]
 dynamic = ["version"]
 
 [project.urls]
 repository = "https://github.com/Bing-su/adetailer"
 
 [project.optional-dependencies]
-dev = ["ruff", "pre-commit", "devtools"]
+dev = ["devtools"]
 test = ["pytest", "hypothesis"]
 
 [build-system]
@@ -62,6 +62,7 @@ select = [
   "PD",
   "PERF",
   "PL",
+  "PLC",
   "PIE",
   "PT",
   "PTH",
@@ -73,7 +74,7 @@ select = [
   "UP",
   "W",
 ]
-ignore = ["B905", "E501", "PLR2004", "PLW0603"]
+ignore = ["B905", "E501", "PLC0415", "PLR2004", "PLW0603"]
 unfixable = ["F401"]
 
 [tool.ruff.lint.isort]

tests/test_ultralytics.py

@@ -1,8 +1,10 @@
+import numpy as np
 import pytest
+import torch
 from huggingface_hub import hf_hub_download
 from PIL import Image
 
-from adetailer.ultralytics import ultralytics_predict
+from adetailer.ultralytics import mask_to_pil, ultralytics_predict
 
 
 @pytest.mark.parametrize(
@@ -60,3 +62,35 @@ def test_yolo_world(sample_image2: Image.Image, klass: str):
     assert len(result.masks) > 0
     assert len(result.confidences) > 0
     assert len(result.bboxes) == len(result.masks) == len(result.confidences)
+
+
+class TestMaskToPil:
+    def test_mask_to_pil_float32(self):
+        mask = torch.tensor([[[0.0, 1.0], [0.0, 1.0]]], dtype=torch.float32)
+        imgs = mask_to_pil(mask, shape=(2, 2))
+
+        assert len(imgs) == 1
+        img = imgs[0]
+        assert isinstance(img, Image.Image)
+
+        arr = np.array(img)
+        assert arr.shape == (2, 2)
+        assert arr.dtype == np.uint8
+
+        expected = np.array([[0, 255], [0, 255]], dtype=np.uint8)
+        np.testing.assert_array_equal(arr, expected)
+
+    def test_mask_to_pil_uint8(self):
+        mask = torch.tensor([[[0, 1], [0, 1]]], dtype=torch.uint8)
+        imgs = mask_to_pil(mask, shape=(2, 2))
+
+        assert len(imgs) == 1
+        img = imgs[0]
+        assert isinstance(img, Image.Image)
+
+        arr = np.array(img)
+        assert arr.shape == (2, 2)
+        assert arr.dtype == np.uint8
+
+        expected = np.array([[0, 255], [0, 255]], dtype=np.uint8)
+        np.testing.assert_array_equal(arr, expected)