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List +from os import PathLike +from pathlib import Path +from tqdm import tqdm -def render_n_body_in_opencv( +def render_n_body( x_bds: Array, width: int, height: int, @@ -14,6 +16,7 @@ def render_n_body_in_opencv( x_max: Array, body_radii: Array = None, body_colors: Array = None, + label: str = None, ) -> onp.ndarray: """Render the n-body problem using OpenCV. @@ -23,6 +26,7 @@ def render_n_body_in_opencv( height: The height of the image. body_radii: The radii of the bodies. Array of shape (num_bodies, ). body_colors: The RGB colors of the bodies. Array of shape (num_bodies, 3). + label: The label of the image. Returns: img: The rendered image. """ @@ -60,4 +64,75 @@ def x_to_uv(x: Array) -> Array: color = tuple(body_colors[i].tolist()) cv2.circle(img, center, int(body_radii[i]), color, -1) + # draw the label + if label is not None: + font = cv2.FONT_HERSHEY_SIMPLEX + bottom_left_corner_of_text = (10, 50) + font_scale = 0.5 + font_color = (255, 255, 255) + line_type = 2 + cv2.putText( + img, + label, + bottom_left_corner_of_text, + font, + font_scale, + font_color, + line_type, + ) + return img + + +def animate_n_body( + ts: Array, + x_bds_ts: Array, + width: int, + height: int, + video_path: PathLike, + speed_up: int = 1, + skip_step: int = 1, + add_timestamp: bool = True, + timestamp_unit: str = "s", + **kwargs, +): + dt = jnp.mean(jnp.diff(ts)).item() + fps = float(speed_up / (skip_step * dt)) + print(f"fps: {fps}") + + # create video + fourcc = cv2.VideoWriter_fourcc(*"MP4V") + Path(video_path).parent.mkdir(parents=True, exist_ok=True) + video = cv2.VideoWriter( + str(video_path), + fourcc, + fps, # fps, + (width, height), + ) + + # skip frames + ts = ts[::skip_step] + x_bds_ts = x_bds_ts[::skip_step] + + for time_idx, t in (pbar := tqdm(enumerate(ts))): + pbar.set_description(f"Rendering frame {time_idx + 1}/{len(ts)}") + + label = None + if add_timestamp: + if timestamp_unit == "s": + label = f"t = {t:.1f} seconds" + elif timestamp_unit == "d": + label = f"t = {t / (24 * 3600):.1f} days" + elif timestamp_unit == "M": + label = f"t = {t / (30 * 24 * 3600):.1f} months" + elif timestamp_unit == "y": + label = f"t = {t / (365 * 24 * 3600):.1f} years" + else: + raise ValueError(f"Invalid timestamp unit: {timestamp_unit}") + + # render the image + img = render_n_body(x_bds_ts[time_idx], width, height, label=label, **kwargs) + + video.write(img) + + video.release()