Update FFC files
This commit is contained in:
@@ -1,116 +0,0 @@
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import os
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import sys
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from pathlib import Path
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import pytest
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REPO_ROOT = Path(__file__).resolve().parents[1]
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SRC_ROOT = REPO_ROOT / "src"
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if str(SRC_ROOT) not in sys.path:
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sys.path.insert(0, str(SRC_ROOT))
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from orisys import Sensor
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from orisys import configs as orisys_configs
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from orisys.backend_availability import check_cupy_available, check_opencl_available
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def _resolve_test_video() -> Path:
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env_video = os.getenv("ORISYS_TEST_VIDEO")
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if env_video:
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raw = Path(env_video)
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candidates = [
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raw, # as provided (absolute or cwd-relative)
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REPO_ROOT / raw, # repo-relative
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]
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# Common typo fallback: "test/..." -> "tests/..."
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if env_video.startswith("test/") or env_video.startswith("test\\"):
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fixed = Path("tests", *Path(env_video).parts[1:])
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candidates.append(REPO_ROOT / fixed)
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for candidate in candidates:
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if candidate.exists():
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return candidate
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return raw
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# Prefer tests/ fixture clip; fallback kept by caller exists check.
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return REPO_ROOT / "tests" / "idle_1min.mp4"
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@pytest.fixture(scope="session")
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def test_video_path() -> Path:
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path = _resolve_test_video()
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if not path.exists():
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pytest.skip(
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"Test video not found. Set ORISYS_TEST_VIDEO to a valid video path."
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)
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return path
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@pytest.fixture(scope="session")
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def test_config_name() -> str:
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requested = os.getenv("ORISYS_TEST_CONFIG")
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def _is_usable_config(name: str) -> bool:
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cfg = orisys_configs.load_config(name)
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return "box_size" in cfg.get("stitcher", {})
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if requested:
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if not _is_usable_config(requested):
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raise RuntimeError(
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f"ORISYS_TEST_CONFIG='{requested}' is missing required key "
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"'stitcher.box_size'. Use a config like 'ddjx01' or provide a full path."
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)
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return requested
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# Auto-pick a stable config for tests (avoid prototype variants missing keys).
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for name in orisys_configs.list_config():
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try:
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if _is_usable_config(name):
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return name
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except Exception:
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continue
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raise RuntimeError(
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"No usable config found for tests (missing 'stitcher.box_size'). "
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"Set ORISYS_TEST_CONFIG to a valid config JSON/path."
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)
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@pytest.fixture(scope="session")
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def available_backends() -> list[str]:
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backends = ["cpu"]
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if check_cupy_available():
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backends.append("cupy")
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if check_opencl_available():
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backends.append("opencl")
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return backends
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def make_sensor(
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video_path: Path,
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config_name: str = "prototype",
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backend: str = "cpu",
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verbose: bool = False,
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) -> Sensor:
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use_cuda = backend in ("cupy", "opencl")
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return Sensor(
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vid_src=str(video_path),
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cuda=use_cuda,
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isstitch=True,
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verbose=verbose,
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config_name=config_name,
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backend=backend,
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)
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@pytest.fixture
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def sensor_factory(test_video_path, test_config_name):
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def _factory(backend: str = "cpu", verbose: bool = False):
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return make_sensor(
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test_video_path,
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config_name=test_config_name,
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backend=backend,
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verbose=verbose,
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)
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return _factory
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@@ -1,264 +0,0 @@
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from __future__ import annotations
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import json
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from datetime import datetime
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from pathlib import Path
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import cv2
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import numpy as np
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WINDOW_NAME = "ROI Polygon Editor"
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def to_uint8_image(image):
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array = np.asarray(image)
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if array.dtype == np.uint8:
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return array
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array = np.nan_to_num(array.astype(np.float32), copy=False)
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if array.size > 0 and float(np.max(array)) <= 1.0:
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array = array * 255.0
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return np.clip(array, 0, 255).astype(np.uint8)
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def normalize_editor_frame(frame):
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if not isinstance(frame, np.ndarray):
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raise TypeError("frame must be a numpy ndarray with shape HxW or HxWxC")
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frame = to_uint8_image(frame)
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if frame.ndim == 2:
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return cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)
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if frame.ndim != 3:
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raise ValueError("frame must have shape HxW or HxWxC")
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channels = frame.shape[2]
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if channels == 1:
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return cv2.cvtColor(frame[:, :, 0], cv2.COLOR_GRAY2BGR)
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if channels == 3:
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return np.ascontiguousarray(frame)
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if channels == 4:
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return cv2.cvtColor(frame, cv2.COLOR_BGRA2BGR)
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raise ValueError("frame channel count must be 1, 3, or 4")
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def polygon_to_mask(points, image_size):
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width, height = int(image_size[0]), int(image_size[1])
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mask = np.zeros((height, width), dtype=np.uint8)
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polygon = np.asarray(points, dtype=np.int32).reshape(-1, 1, 2)
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cv2.fillPoly(mask, [polygon], 255)
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return mask
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def save_polygon_roi_config(path, points, image_size, mask_path=None, metadata=None):
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path = Path(path)
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path.parent.mkdir(parents=True, exist_ok=True)
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data = {
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"version": "1.0",
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"type": "polygon",
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"image_size": [int(image_size[0]), int(image_size[1])],
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"points": [[int(x), int(y)] for x, y in points],
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"created_at": datetime.now().isoformat(timespec="seconds"),
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}
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if mask_path is not None:
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data["mask_path"] = str(mask_path)
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if metadata:
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data["metadata"] = metadata
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with path.open("w", encoding="utf-8") as f:
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json.dump(data, f, indent=2, ensure_ascii=False)
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return data
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def load_roi_config(path):
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path = Path(path)
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with path.open("r", encoding="utf-8") as f:
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data = json.load(f)
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data["_config_path"] = str(path)
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return data
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def scale_points(points, source_size, target_size):
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source_w, source_h = int(source_size[0]), int(source_size[1])
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target_w, target_h = int(target_size[0]), int(target_size[1])
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pts = np.asarray(points, dtype=np.float32).reshape(-1, 2)
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if source_w > 0 and source_h > 0 and (source_w, source_h) != (target_w, target_h):
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pts[:, 0] *= target_w / float(source_w)
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pts[:, 1] *= target_h / float(source_h)
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pts[:, 0] = np.clip(pts[:, 0], 0, max(target_w - 1, 0))
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pts[:, 1] = np.clip(pts[:, 1], 0, max(target_h - 1, 0))
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return np.rint(pts).astype(np.int32)
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def normalize_mask(mask, shape):
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if mask is None:
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return np.ones(shape, dtype=np.uint8) * 255
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mask = np.asarray(mask)
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if mask.shape[:2] != shape:
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mask = cv2.resize(mask, (shape[1], shape[0]), interpolation=cv2.INTER_NEAREST)
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return np.where(mask > 0, 255, 0).astype(np.uint8)
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def load_roi_mask(config_path, frame_shape):
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config_path = Path(config_path)
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data = load_roi_config(config_path)
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height, width = frame_shape[:2]
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points = data.get("points") or data.get("polygon") or data.get("roi_polygon")
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if points:
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source_size = data.get("image_size", [width, height])
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polygon = scale_points(points, source_size, (width, height)).reshape(-1, 1, 2)
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output = np.zeros((height, width), dtype=np.uint8)
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cv2.fillPoly(output, [polygon], 255)
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return output
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mask_path = data.get("mask_path") or data.get("roi_mask")
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if mask_path:
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mask_path = Path(mask_path)
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if not mask_path.is_absolute():
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mask_path = config_path.parent / mask_path
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loaded = cv2.imread(str(mask_path), cv2.IMREAD_GRAYSCALE)
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if loaded is None:
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raise FileNotFoundError(f"Failed to read ROI mask: {mask_path}")
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return normalize_mask(loaded, (height, width))
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raise ValueError(f"Unsupported ROI config: {config_path}")
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class RoiPolygonEditor:
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def __init__(self, frame):
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self.frame = normalize_editor_frame(frame)
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self.points = []
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def set_frame(self, frame):
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self.frame = normalize_editor_frame(frame)
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self.points = []
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def on_mouse(self, event, x, y, flags, param):
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if event == cv2.EVENT_LBUTTONDOWN:
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self.points.append((int(x), int(y)))
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elif event == cv2.EVENT_RBUTTONDOWN and self.points:
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self.points.pop()
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def clear(self):
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self.points = []
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def undo(self):
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if self.points:
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self.points.pop()
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def render(self):
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view = self.frame.copy()
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if len(self.points) >= 3:
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overlay = view.copy()
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polygon = np.asarray(self.points, dtype=np.int32).reshape(-1, 1, 2)
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cv2.fillPoly(overlay, [polygon], (0, 128, 255))
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view = cv2.addWeighted(overlay, 0.25, view, 0.75, 0.0)
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cv2.polylines(view, [polygon], True, (0, 255, 255), 2, cv2.LINE_AA)
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elif len(self.points) >= 2:
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cv2.polylines(
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view,
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[np.asarray(self.points, dtype=np.int32).reshape(-1, 1, 2)],
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False,
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(0, 255, 255),
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2,
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cv2.LINE_AA,
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)
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for idx, (x, y) in enumerate(self.points):
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cv2.circle(view, (x, y), 4, (0, 255, 0), -1, cv2.LINE_AA)
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cv2.putText(
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view,
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str(idx + 1),
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(x + 6, y - 6),
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cv2.FONT_HERSHEY_SIMPLEX,
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0.45,
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(0, 255, 0),
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1,
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cv2.LINE_AA,
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)
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lines = [
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"LClick add RClick/U undo C clear R recapture S/Enter save Q/Esc quit",
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f"points={len(self.points)} resolution={view.shape[1]}x{view.shape[0]}",
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]
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for i, text in enumerate(lines):
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y = 24 + i * 24
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cv2.putText(view, text, (10, y), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 0), 3, cv2.LINE_AA)
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cv2.putText(view, text, (10, y), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 1, cv2.LINE_AA)
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return view
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def build_roi_result(points, image_size, mask, config=None, config_path=None, mask_path=None):
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return {
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"points": [[int(x), int(y)] for x, y in points],
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"image_size": [int(image_size[0]), int(image_size[1])],
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"mask": mask,
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"config": config,
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"config_path": str(config_path) if config_path is not None else None,
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"mask_path": str(mask_path) if mask_path is not None else None,
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}
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def select_polygon_roi(
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frame,
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output=None,
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window_name=WINDOW_NAME,
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metadata=None,
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save_mask=True,
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destroy_window=True,
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recapture_callback=None,
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):
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"""Open an OpenCV window, draw a polygon ROI, and return points/mask/config info."""
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editor = RoiPolygonEditor(frame)
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cv2.namedWindow(window_name, cv2.WINDOW_AUTOSIZE)
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cv2.setMouseCallback(window_name, editor.on_mouse)
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try:
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while True:
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cv2.imshow(window_name, editor.render())
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key = cv2.waitKey(16) & 0xFF
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if key in (27, ord("q")):
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return None
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if key in (8, ord("u")):
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editor.undo()
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elif key == ord("c"):
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editor.clear()
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elif key == ord("r") and recapture_callback is not None:
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editor.set_frame(recapture_callback())
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elif key in (13, ord("s")):
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if len(editor.points) < 3:
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print("Need at least 3 points to save ROI.")
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continue
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image_size = (editor.frame.shape[1], editor.frame.shape[0])
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mask = polygon_to_mask(editor.points, image_size)
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config = None
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config_path = None
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mask_path = None
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if output is not None:
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config_path = Path(output)
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config_path.parent.mkdir(parents=True, exist_ok=True)
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saved_mask = None
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if save_mask:
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mask_path = config_path.with_name(config_path.stem + "_mask.png")
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cv2.imwrite(str(mask_path), mask)
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saved_mask = mask_path.name
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config = save_polygon_roi_config(
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config_path,
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editor.points,
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image_size,
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mask_path=saved_mask,
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metadata=metadata,
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)
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return build_roi_result(
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editor.points,
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image_size,
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mask,
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config=config,
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config_path=config_path,
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mask_path=mask_path,
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)
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finally:
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if destroy_window:
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cv2.destroyWindow(window_name)
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+9
-2
@@ -1,12 +1,19 @@
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from __future__ import annotations
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from orisys import FFCFrameProcessor
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import argparse
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import sys
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from pathlib import Path
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import cv2
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from roi_polygon_tool import load_roi_mask, select_polygon_roi
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REPO_ROOT = Path(__file__).resolve().parents[1]
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SRC_ROOT = REPO_ROOT / "src"
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for path in (REPO_ROOT, SRC_ROOT):
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if str(path) not in sys.path:
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sys.path.insert(0, str(path))
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from orisys import FFCFrameProcessor
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from tools.ffc.roi_polygon_tool import load_roi_mask, select_polygon_roi
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def parse_source(value):
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