| | import os |
| |
|
| | |
| |
|
| |
|
| | 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 |
| |
|
| |
|
| | |
| | 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 |
| |
|
| |
|
| | |
| | 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 |
| |
|
