import os # App Canny utils def edge_path_to_video_path(edge_path): video_path = edge_path vid_name = edge_path.split("/")[-1] if vid_name == "butterfly.mp4": video_path = "__assets__/canny_videos_mp4/butterfly.mp4" elif vid_name == "deer.mp4": video_path = "__assets__/canny_videos_mp4/deer.mp4" elif vid_name == "fox.mp4": video_path = "__assets__/canny_videos_mp4/fox.mp4" elif vid_name == "girl_dancing.mp4": video_path = "__assets__/canny_videos_mp4/girl_dancing.mp4" elif vid_name == "girl_turning.mp4": video_path = "__assets__/canny_videos_mp4/girl_turning.mp4" elif vid_name == "halloween.mp4": video_path = "__assets__/canny_videos_mp4/halloween.mp4" elif vid_name == "santa.mp4": video_path = "__assets__/canny_videos_mp4/santa.mp4" assert os.path.isfile(video_path) return video_path # App Pose utils def motion_to_video_path(motion): videos = [ "__assets__/poses_skeleton_gifs/dance1_corr.mp4", "__assets__/poses_skeleton_gifs/dance2_corr.mp4", "__assets__/poses_skeleton_gifs/dance3_corr.mp4", "__assets__/poses_skeleton_gifs/dance4_corr.mp4", "__assets__/poses_skeleton_gifs/dance5_corr.mp4" ] if len(motion.split(" ")) > 1 and motion.split(" ")[1].isnumeric(): id = int(motion.split(" ")[1]) - 1 return videos[id] else: return motion # App Canny Dreambooth utils def get_video_from_canny_selection(canny_selection): if canny_selection == "woman1": input_video_path = "__assets__/db_files_2fps/woman1.mp4" elif canny_selection == "woman2": input_video_path = "__assets__/db_files_2fps/woman2.mp4" elif canny_selection == "man1": input_video_path = "__assets__/db_files_2fps/man1.mp4" elif canny_selection == "woman3": input_video_path = "__assets__/db_files_2fps/woman3.mp4" else: input_video_path = canny_selection assert os.path.isfile(input_video_path) return input_video_path def get_model_from_db_selection(db_selection): if db_selection == "Anime DB": input_video_path = 'PAIR/text2video-zero-controlnet-canny-anime' elif db_selection == "Avatar DB": input_video_path = 'PAIR/text2video-zero-controlnet-canny-avatar' elif db_selection == "GTA-5 DB": input_video_path = 'PAIR/text2video-zero-controlnet-canny-gta5' elif db_selection == "Arcane DB": input_video_path = 'PAIR/text2video-zero-controlnet-canny-arcane' else: input_video_path = db_selection return input_video_path def get_db_name_from_id(id): db_names = ["Anime DB", "Arcane DB", "GTA-5 DB", "Avatar DB"] return db_names[id] def get_canny_name_from_id(id): canny_names = ["woman1", "woman2", "man1", "woman3"] return canny_names[id] def logo_name_to_path(name): logo_paths = { 'Picsart AI Research': '__assets__/pair_watermark.png', 'Text2Video-Zero': '__assets__/t2v-z_watermark.png', 'None': None } if name in logo_paths: return logo_paths[name] return name # App Depth utils def depth_path_to_video_path(edge_path): video_path = edge_path vid_name = edge_path.split("/")[-1] if vid_name == "girl_dancing.mp4": video_path = "__assets__/depth_videos_mp4/girl_dancing.mp4" elif vid_name == "halloween.mp4": video_path = "__assets__/depth_videos_mp4/halloween.mp4" elif vid_name == "man.mp4": video_path = "__assets__/depth_videos_mp4/man.mp4" elif vid_name == "woman.mp4": video_path = "__assets__/depth_videos_mp4/woman.mp4" assert os.path.isfile(video_path) return video_path