diff --git a/.env.example b/.env.example index 2431293..3f7e0e8 100644 --- a/.env.example +++ b/.env.example @@ -1,3 +1,3 @@ # HuggingFace token (optional; only needed for gated/private models) # Get yours at: https://huggingface.co/settings/tokens -HF_TOKEN= +# HF_TOKEN= diff --git a/pyproject.toml b/pyproject.toml index 5e95ddd..457014e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -133,7 +133,10 @@ trustmark = [ # eraser backend needs none of this. lama = [ "remove-ai-watermarks[visible]", - "onnxruntime>=1.16.0", + # ONNX Runtime 1.24 dropped CPython 3.10 wheels; keep the project's + # supported 3.10 line on the last compatible release series. + "onnxruntime>=1.16.0,<1.24; python_version < '3.11'", + "onnxruntime>=1.16.0; python_version >= '3.11'", "huggingface-hub>=0.20.0", ] # Lightweight inpaint backend -- MI-GAN via onnxruntime (andraniksargsyan/migan, @@ -143,7 +146,8 @@ lama = [ # LaMa, the quality-first `auto` choice, is too large. Same runtime as `lama`. migan = [ "remove-ai-watermarks[visible]", - "onnxruntime>=1.16.0", + "onnxruntime>=1.16.0,<1.24; python_version < '3.11'", + "onnxruntime>=1.16.0; python_version >= '3.11'", "huggingface-hub>=0.20.0", ] # Optional pre-diffusion super-resolution for small inputs (Real-ESRGAN). Loaded via diff --git a/src/remove_ai_watermarks/_text_mark_engine.py b/src/remove_ai_watermarks/_text_mark_engine.py index ce74fcc..f09ac86 100644 --- a/src/remove_ai_watermarks/_text_mark_engine.py +++ b/src/remove_ai_watermarks/_text_mark_engine.py @@ -156,7 +156,6 @@ class TextMarkLocation: y: int w: int h: int - is_fallback: bool = True # geometry anchor (no template match) -> always True for now @property def bbox(self) -> tuple[int, int, int, int]: @@ -512,7 +511,7 @@ class TextMarkEngine: y = min(margin_b, max(0, h - wm_h)) if c.corner == "tl" else max(0, h - margin_b - wm_h) wm_w = min(wm_w, w - x) wm_h = min(wm_h, h - y) - return TextMarkLocation(x=x, y=y, w=wm_w, h=wm_h, is_fallback=True) + return TextMarkLocation(x=x, y=y, w=wm_w, h=wm_h) # ── Mask ──────────────────────────────────────────────────────────── diff --git a/src/remove_ai_watermarks/cli.py b/src/remove_ai_watermarks/cli.py index 0979657..d106289 100644 --- a/src/remove_ai_watermarks/cli.py +++ b/src/remove_ai_watermarks/cli.py @@ -22,6 +22,7 @@ import click from remove_ai_watermarks import __version__, image_io, watermark_registry from remove_ai_watermarks._internal.constants import SUPPORTED_FORMATS +from remove_ai_watermarks._internal.utils import is_supported_format from remove_ai_watermarks._internal.watermark_profiles import ( resolve_seed, resolve_steps, @@ -143,7 +144,7 @@ def _validate_image(path: Path) -> Path: if not path.exists(): console.print(f"Error: File not found: {path}") raise SystemExit(1) - if path.suffix.lower() not in SUPPORTED_FORMATS: + if not is_supported_format(path): console.print(f"Warning: {path.suffix} may not be supported (expected: {', '.join(SUPPORTED_FORMATS)})") return path @@ -2092,7 +2093,7 @@ def cmd_batch( output_dir = directory.parent / (directory.name + "_clean") output_dir.mkdir(parents=True, exist_ok=True) - images = sorted(p for p in directory.iterdir() if p.suffix.lower() in SUPPORTED_FORMATS) + images = sorted(p for p in directory.iterdir() if is_supported_format(p)) if not images: console.print(f"No supported images found in {directory}") diff --git a/src/remove_ai_watermarks/video_invisible.py b/src/remove_ai_watermarks/video_invisible.py index 45da702..7fef3a4 100644 --- a/src/remove_ai_watermarks/video_invisible.py +++ b/src/remove_ai_watermarks/video_invisible.py @@ -13,7 +13,6 @@ from __future__ import annotations import logging import math from dataclasses import dataclass -from importlib.util import find_spec from typing import TYPE_CHECKING, Any import cv2 @@ -75,7 +74,9 @@ class VideoVaeRuntime: def is_available() -> bool: """Return whether the optional VAE runtime can be imported.""" - return find_spec("torch") is not None and find_spec("diffusers") is not None + from remove_ai_watermarks.optional_deps import module_available + + return module_available("torch", "diffusers") def _fit_size(width: int, height: int, long_side: int) -> tuple[int, int]: diff --git a/tests/test_video_invisible.py 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