| import os |
| import time |
| import numpy as np |
| import pyrender |
| import trimesh |
| import queue |
| import imageio |
| import threading |
| import multiprocessing |
| import utils.media |
| import glob |
|
|
| def deg_to_rad(degrees): |
| return degrees * np.pi / 180 |
|
|
| def create_pose_camera(angle_deg): |
| angle_rad = deg_to_rad(angle_deg) |
| return np.array([ |
| [1.0, 0.0, 0.0, 0.0], |
| [0.0, np.cos(angle_rad), -np.sin(angle_rad), 1.0], |
| [0.0, np.sin(angle_rad), np.cos(angle_rad), 5.0], |
| [0.0, 0.0, 0.0, 1.0] |
| ]) |
|
|
| def create_pose_light(angle_deg): |
| angle_rad = deg_to_rad(angle_deg) |
| return np.array([ |
| [1.0, 0.0, 0.0, 0.0], |
| [0.0, np.cos(angle_rad), -np.sin(angle_rad), 0.0], |
| [0.0, np.sin(angle_rad), np.cos(angle_rad), 3.0], |
| [0.0, 0.0, 0.0, 1.0] |
| ]) |
|
|
| def create_scene_with_mesh(vertices, faces, uniform_color, pose_camera, pose_light): |
| trimesh_mesh = trimesh.Trimesh(vertices=vertices, faces=faces, vertex_colors=uniform_color) |
| mesh = pyrender.Mesh.from_trimesh(trimesh_mesh, smooth=True) |
| scene = pyrender.Scene() |
| scene.add(mesh) |
| camera = pyrender.OrthographicCamera(xmag=1.0, ymag=1.0) |
| scene.add(camera, pose=pose_camera) |
| light = pyrender.DirectionalLight(color=[1.0, 1.0, 1.0], intensity=4.0) |
| scene.add(light, pose=pose_light) |
| return scene |
|
|
| def do_render_one_frame(renderer, frame_idx, vertices, vertices1, faces): |
| if frame_idx % 100 == 0: |
| print('processed', frame_idx, 'frames') |
|
|
| uniform_color = [220, 220, 220, 255] |
| pose_camera = create_pose_camera(angle_deg=-2) |
| pose_light = create_pose_light(angle_deg=-30) |
|
|
| figs = [] |
| for vtx in [vertices, vertices1]: |
| |
| scene = create_scene_with_mesh(vtx, faces, uniform_color, pose_camera, pose_light) |
| fig, _ = renderer.render(scene) |
| figs.append(fig) |
| |
| return figs[0], figs[1] |
|
|
| def do_render_one_frame_no_gt(renderer, frame_idx, vertices, faces): |
| if frame_idx % 100 == 0: |
| print('processed', frame_idx, 'frames') |
|
|
| uniform_color = [220, 220, 220, 255] |
| pose_camera = create_pose_camera(angle_deg=-2) |
| pose_light = create_pose_light(angle_deg=-30) |
|
|
| figs = [] |
| |
| |
| |
| scene = create_scene_with_mesh(vertices, faces, uniform_color, pose_camera, pose_light) |
| fig, _ = renderer.render(scene) |
| figs.append(fig) |
| |
| return figs[0] |
|
|
| def write_images_from_queue(fig_queue, output_dir, img_filetype): |
| while True: |
| e = fig_queue.get() |
| if e is None: |
| break |
| fid, fig1, fig2 = e |
| filename = os.path.join(output_dir, f"frame_{fid}.{img_filetype}") |
| merged_fig = np.hstack((fig1, fig2)) |
| try: |
| imageio.imwrite(filename, merged_fig) |
| except Exception as ex: |
| print(f"Error writing image {filename}: {ex}") |
| raise ex |
| |
| def write_images_from_queue_no_gt(fig_queue, output_dir, img_filetype): |
| while True: |
| e = fig_queue.get() |
| if e is None: |
| break |
| fid, fig1, fig2 = e |
| filename = os.path.join(output_dir, f"frame_{fid}.{img_filetype}") |
| merged_fig = fig1 |
| try: |
| imageio.imwrite(filename, merged_fig) |
| except Exception as ex: |
| print(f"Error writing image {filename}: {ex}") |
| raise ex |
| |
| |
| def render_frames_and_enqueue(fids, frame_vertex_pairs, faces, render_width, render_height, fig_queue): |
| fig_resolution = (render_width // 2, render_height) |
| renderer = pyrender.OffscreenRenderer(*fig_resolution) |
|
|
| for idx, fid in enumerate(fids): |
| fig1, fig2 = do_render_one_frame(renderer, fid, frame_vertex_pairs[idx][0], frame_vertex_pairs[idx][1], faces) |
| fig_queue.put((fid, fig1, fig2)) |
| |
| renderer.delete() |
|
|
| def render_frames_and_enqueue_no_gt(fids, frame_vertex_pairs, faces, render_width, render_height, fig_queue): |
| fig_resolution = (render_width // 2, render_height) |
| renderer = pyrender.OffscreenRenderer(*fig_resolution) |
|
|
| for idx, fid in enumerate(fids): |
| fig1 = do_render_one_frame_no_gt(renderer, fid, frame_vertex_pairs[idx][0], faces) |
| fig_queue.put((fid, fig1)) |
| |
| renderer.delete() |
|
|
| def sub_process_process_frame(subprocess_index, render_video_width, render_video_height, render_tmp_img_filetype, fids, frame_vertex_pairs, faces, output_dir): |
| begin_ts = time.time() |
| print(f"subprocess_index={subprocess_index} begin_ts={begin_ts}") |
|
|
| fig_queue = queue.Queue() |
| render_frames_and_enqueue(fids, frame_vertex_pairs, faces, render_video_width, render_video_height, fig_queue) |
| fig_queue.put(None) |
| render_end_ts = time.time() |
|
|
| image_writer_thread = threading.Thread(target=write_images_from_queue, args=(fig_queue, output_dir, render_tmp_img_filetype)) |
| image_writer_thread.start() |
| image_writer_thread.join() |
|
|
| write_end_ts = time.time() |
| print( |
| f"subprocess_index={subprocess_index} " |
| f"render={render_end_ts - begin_ts:.2f} " |
| f"all={write_end_ts - begin_ts:.2f} " |
| f"begin_ts={begin_ts:.2f} " |
| f"render_end_ts={render_end_ts:.2f} " |
| f"write_end_ts={write_end_ts:.2f}" |
| ) |
|
|
| def sub_process_process_frame_no_gt(subprocess_index, render_video_width, render_video_height, render_tmp_img_filetype, fids, frame_vertex_pairs, faces, output_dir): |
| begin_ts = time.time() |
| print(f"subprocess_index={subprocess_index} begin_ts={begin_ts}") |
|
|
| fig_queue = queue.Queue() |
| render_frames_and_enqueue(fids, frame_vertex_pairs, faces, render_video_width, render_video_height, fig_queue) |
| fig_queue.put(None) |
| render_end_ts = time.time() |
|
|
| image_writer_thread = threading.Thread(target=write_images_from_queue_no_gt, args=(fig_queue, output_dir, render_tmp_img_filetype)) |
| image_writer_thread.start() |
| image_writer_thread.join() |
|
|
| write_end_ts = time.time() |
| print( |
| f"subprocess_index={subprocess_index} " |
| f"render={render_end_ts - begin_ts:.2f} " |
| f"all={write_end_ts - begin_ts:.2f} " |
| f"begin_ts={begin_ts:.2f} " |
| f"render_end_ts={render_end_ts:.2f} " |
| f"write_end_ts={write_end_ts:.2f}" |
| ) |
|
|
| def distribute_frames(frames, render_video_fps, render_concurent_nums, vertices_all, vertices1_all): |
| sample_interval = max(1, int(30 // render_video_fps)) |
| subproc_frame_ids = [[] for _ in range(render_concurent_nums)] |
| subproc_vertices = [[] for _ in range(render_concurent_nums)] |
| sampled_frame_id = 0 |
|
|
| for i in range(frames): |
| if i % sample_interval != 0: |
| continue |
| subprocess_index = sampled_frame_id % render_concurent_nums |
| subproc_frame_ids[subprocess_index].append(sampled_frame_id) |
| subproc_vertices[subprocess_index].append((vertices_all[i], vertices1_all[i])) |
| sampled_frame_id += 1 |
|
|
| return subproc_frame_ids, subproc_vertices |
|
|
| def distribute_frames_no_gt(frames, render_video_fps, render_concurent_nums, vertices_all): |
| sample_interval = max(1, int(30 // render_video_fps)) |
| subproc_frame_ids = [[] for _ in range(render_concurent_nums)] |
| subproc_vertices = [[] for _ in range(render_concurent_nums)] |
| sampled_frame_id = 0 |
|
|
| for i in range(frames): |
| if i % sample_interval != 0: |
| continue |
| subprocess_index = sampled_frame_id % render_concurent_nums |
| subproc_frame_ids[subprocess_index].append(sampled_frame_id) |
| subproc_vertices[subprocess_index].append((vertices_all[i], vertices_all[i])) |
| sampled_frame_id += 1 |
|
|
| return subproc_frame_ids, subproc_vertices |
|
|
| def generate_silent_videos(render_video_fps, |
| render_video_width, |
| render_video_height, |
| render_concurent_nums, |
| render_tmp_img_filetype, |
| frames, |
| vertices_all, |
| vertices1_all, |
| faces, |
| output_dir): |
|
|
| subproc_frame_ids, subproc_vertices = distribute_frames(frames, render_video_fps, render_concurent_nums, vertices_all, vertices1_all) |
|
|
| print(f"generate_silent_videos concurrentNum={render_concurent_nums} time={time.time()}") |
| with multiprocessing.Pool(render_concurent_nums) as pool: |
| pool.starmap( |
| sub_process_process_frame, |
| [ |
| (subprocess_index, render_video_width, render_video_height, render_tmp_img_filetype, subproc_frame_ids[subprocess_index], subproc_vertices[subprocess_index], faces, output_dir) |
| for subprocess_index in range(render_concurent_nums) |
| ] |
| ) |
|
|
| output_file = os.path.join(output_dir, "silence_video.mp4") |
| utils.media.convert_img_to_mp4(os.path.join(output_dir, f"frame_%d.{render_tmp_img_filetype}"), output_file, render_video_fps) |
| filenames = glob.glob(os.path.join(output_dir, f"*.{render_tmp_img_filetype}")) |
| for filename in filenames: |
| os.remove(filename) |
|
|
| return output_file |
|
|
| def generate_silent_videos_no_gt(render_video_fps, |
| render_video_width, |
| render_video_height, |
| render_concurent_nums, |
| render_tmp_img_filetype, |
| frames, |
| vertices_all, |
| faces, |
| output_dir): |
|
|
| subproc_frame_ids, subproc_vertices = distribute_frames_no_gt(frames, render_video_fps, render_concurent_nums, vertices_all) |
|
|
| print(f"generate_silent_videos concurrentNum={render_concurent_nums} time={time.time()}") |
| with multiprocessing.Pool(render_concurent_nums) as pool: |
| pool.starmap( |
| sub_process_process_frame_no_gt, |
| [ |
| (subprocess_index, render_video_width, render_video_height, render_tmp_img_filetype, subproc_frame_ids[subprocess_index], subproc_vertices[subprocess_index], faces, output_dir) |
| for subprocess_index in range(render_concurent_nums) |
| ] |
| ) |
|
|
| output_file = os.path.join(output_dir, "silence_video.mp4") |
| utils.media.convert_img_to_mp4(os.path.join(output_dir, f"frame_%d.{render_tmp_img_filetype}"), output_file, render_video_fps) |
| filenames = glob.glob(os.path.join(output_dir, f"*.{render_tmp_img_filetype}")) |
| for filename in filenames: |
| os.remove(filename) |
|
|
| return output_file |