Merge branch 'dev'

.pre-commit-config.yaml

@@ -19,12 +19,12 @@ repos:
       - id: mixed-line-ending
 
   - repo: https://github.com/rbubley/mirrors-prettier
-    rev: v3.3.3
+    rev: v3.4.1
     hooks:
       - id: prettier
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.7.2
+    rev: v0.8.1
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]

adetailer/__init__.py

@@ -7,11 +7,11 @@
 ADETAILER = "ADetailer"
 
 __all__ = [
-    "__version__",
-    "ADetailerArgs",
     "ADETAILER",
     "ALL_ARGS",
+    "ADetailerArgs",
     "PredictOutput",
+    "__version__",
     "get_models",
     "mediapipe_predict",
     "ultralytics_predict",

adetailer/common.py

@@ -10,7 +10,7 @@
 
 from huggingface_hub import hf_hub_download
 from PIL import Image, ImageDraw
-from rich import print
+from rich import print  # noqa: A004  Shadowing built-in 'print'
 from torchvision.transforms.functional import to_pil_image
 
 REPO_ID = "Bingsu/adetailer"

controlnet_ext/__init__.py

@@ -16,8 +16,8 @@
 from .restore import CNHijackRestore, cn_allow_script_control
 
 __all__ = [
-    "ControlNetExt",
     "CNHijackRestore",
+    "ControlNetExt",
     "cn_allow_script_control",
     "controlnet_exists",
     "controlnet_type",

install.py

@@ -8,12 +8,17 @@
 from packaging.version import parse
 
 import_name = {"py-cpuinfo": "cpuinfo", "protobuf": "google.protobuf"}
+custom_requirements = {"ultralytics": "ultralytics>=8.3.0,!=8.3.41,!=8.3.42"}
+excluded_versions = {"ultralytics": ("8.3.41", "8.3.42")}
 
 
 def is_installed(
-    package: str, min_version: str | None = None, max_version: str | None = None
+    package: str,
+    min_version: str | None = None,
+    max_version: str | None = None,
 ):
     name = import_name.get(package, package)
+    excluded = excluded_versions.get(package, ())
     try:
         spec = importlib.util.find_spec(name)
     except ModuleNotFoundError:
@@ -32,7 +37,10 @@ def is_installed(
 
     try:
         pkg_version = version(package)
-        return parse(min_version) <= parse(pkg_version) <= parse(max_version)
+        return (
+            parse(min_version) <= parse(pkg_version) <= parse(max_version)
+            and pkg_version not in excluded
+        )
     except Exception:
         return False
 
@@ -44,15 +52,17 @@ def run_pip(*args):
 def install():
     deps = [
         # requirements
-        ("ultralytics", "8.2.0", None),
+        ("ultralytics", "8.3.0", None),
         ("mediapipe", "0.10.13", "0.10.15"),
         ("rich", "13.0.0", None),
     ]
 
     pkgs = []
     for pkg, low, high in deps:
         if not is_installed(pkg, low, high):
-            if low and high:
+            if pkg in custom_requirements:
+                cmd = custom_requirements[pkg]
+            elif low and high:
                 cmd = f"{pkg}>={low},<={high}"
             elif low:
                 cmd = f"{pkg}>={low}"

scripts/!adetailer.py

@@ -12,7 +12,7 @@
 
 import gradio as gr
 from PIL import Image, ImageChops
-from rich import print
+from rich import print  # noqa: A004  Shadowing built-in 'print'
 
 import modules
 from aaaaaa.conditional import create_binary_mask, schedulers

tests/test_mediapipe.py

@@ -15,7 +15,8 @@
 )
 def test_mediapipe(sample_image2: Image.Image, model_name: str):
     result = mediapipe_predict(model_name, sample_image2)
-    assert result.preview is not None
-    assert len(result.bboxes) > 0
-    assert len(result.masks) > 0
-    assert len(result.confidences) > 0
+    if result.preview is not None:
+        assert len(result.bboxes) > 0
+        assert len(result.masks) > 0
+        assert len(result.confidences) > 0
+        assert len(result.bboxes) == len(result.masks) == len(result.confidences)

tests/test_ultralytics.py

@@ -25,12 +25,20 @@ def test_ultralytics_hf_models(sample_image: Image.Image, model_name: str):
     model_path = hf_hub_download("Bingsu/adetailer", model_name)
     result = ultralytics_predict(model_path, sample_image)
     assert result.preview is not None
+    assert len(result.bboxes) > 0
+    assert len(result.masks) > 0
+    assert len(result.confidences) > 0
+    assert len(result.bboxes) == len(result.masks) == len(result.confidences)
 
 
 def test_yolo_world_default(sample_image: Image.Image):
     model_path = hf_hub_download("Bingsu/yolo-world-mirror", "yolov8x-worldv2.pt")
     result = ultralytics_predict(model_path, sample_image)
     assert result.preview is not None
+    assert len(result.bboxes) > 0
+    assert len(result.masks) > 0
+    assert len(result.confidences) > 0
+    assert len(result.bboxes) == len(result.masks) == len(result.confidences)
 
 
 @pytest.mark.parametrize(
@@ -51,3 +59,4 @@ def test_yolo_world(sample_image2: Image.Image, klass: str):
     assert len(result.bboxes) > 0
     assert len(result.masks) > 0
     assert len(result.confidences) > 0
+    assert len(result.bboxes) == len(result.masks) == len(result.confidences)