from __future__ import annotations from pathlib import Path import cv2 import numpy as np ROOT = Path(__file__).resolve().parents[1] SAMPLE_DIR = ROOT / "storage" / "samples" def draw_curve(frame: np.ndarray, t: int) -> None: height, width = frame.shape[:2] points = [] for x in np.linspace(48, width - 54, 110): y = height * 0.55 + 48 * np.sin((x / width) * 2.8 * np.pi + t * 0.11) y += 22 * np.sin((x / width) * 7.2 * np.pi + t * 0.035) points.append([int(x), int(y)]) pts = np.array(points, dtype=np.int32).reshape((-1, 1, 2)) cv2.polylines(frame, [pts], False, (36, 36, 36), 2, cv2.LINE_AA) cv2.circle(frame, tuple(points[-1]), 5, (24, 24, 24), -1, cv2.LINE_AA) def make_frame(index: int, width: int = 640, height: int = 420) -> np.ndarray: rng = np.random.default_rng(index) base = np.full((height, width), 156, dtype=np.uint8) gradient = np.linspace(-22, 18, width, dtype=np.float32) base = np.clip(base.astype(np.float32) + gradient[None, :], 0, 255).astype(np.uint8) noise = rng.normal(0, 7, (height, width)).astype(np.float32) base = np.clip(base.astype(np.float32) + noise, 0, 255).astype(np.uint8) frame = cv2.cvtColor(base, cv2.COLOR_GRAY2BGR) for offset in range(-160, width, 130): center = (offset + index * 2, height // 2) cv2.ellipse(frame, center, (90, 180), 8, 0, 360, (176, 176, 176), 8, cv2.LINE_AA) cv2.line(frame, (80, 60), (560, 86 + index % 18), (90, 90, 90), 4, cv2.LINE_AA) draw_curve(frame, index) frame = cv2.GaussianBlur(frame, (3, 3), 0) return frame def main() -> None: SAMPLE_DIR.mkdir(parents=True, exist_ok=True) video_path = SAMPLE_DIR / "synthetic_guidewire.mp4" image_path = SAMPLE_DIR / "synthetic_guidewire.png" width, height = 640, 420 writer = cv2.VideoWriter(str(video_path), cv2.VideoWriter_fourcc(*"mp4v"), 12.0, (width, height)) for index in range(72): frame = make_frame(index, width, height) if index == 12: cv2.imwrite(str(image_path), frame) writer.write(frame) writer.release() print(video_path) print(image_path) if __name__ == "__main__": main()