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| 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 | |