-
Notifications
You must be signed in to change notification settings - Fork 2k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
6 changed files
with
256 additions
and
7 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,35 @@ | ||
| build: | ||
| gpu: true | ||
| cuda: "11.3" | ||
| python_version: "3.8" | ||
| system_packages: | ||
| - "ffmpeg" | ||
| - "libgl1-mesa-glx" | ||
| - "libglib2.0-0" | ||
| python_packages: | ||
| - "torch==1.12.1" | ||
| - "torchvision==0.13.1" | ||
| - "torchaudio==0.12.1" | ||
| - "joblib==1.1.0" | ||
| - "scikit-image==0.19.3" | ||
| - "basicsr==1.4.2" | ||
| - "facexlib==0.3.0" | ||
| - "resampy==0.3.1" | ||
| - "pydub==0.25.1" | ||
| - "scipy==1.10.1" | ||
| - "kornia==0.6.8" | ||
| - "face_alignment==1.3.5" | ||
| - "imageio==2.19.3" | ||
| - "imageio-ffmpeg==0.4.7" | ||
| - "librosa==0.9.2" # | ||
| - "tqdm==4.65.0" | ||
| - "yacs==0.1.8" | ||
| - "gfpgan==1.3.8" | ||
| - "dlib-bin==19.24.1" | ||
| - "av==10.0.0" | ||
| - "trimesh==3.9.20" | ||
| run: | ||
| - mkdir -p /root/.cache/torch/hub/checkpoints/ && wget --output-document "/root/.cache/torch/hub/checkpoints/s3fd-619a316812.pth" "https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth" | ||
| - mkdir -p /root/.cache/torch/hub/checkpoints/ && wget --output-document "/root/.cache/torch/hub/checkpoints/2DFAN4-cd938726ad.zip" "https://www.adrianbulat.com/downloads/python-fan/2DFAN4-cd938726ad.zip" | ||
|
|
||
| predict: "predict.py:Predictor" |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,192 @@ | ||
| """run bash scripts/download_models.sh first to prepare the weights file""" | ||
| import os | ||
| import shutil | ||
| from argparse import Namespace | ||
| from src.utils.preprocess import CropAndExtract | ||
| from src.test_audio2coeff import Audio2Coeff | ||
| from src.facerender.animate import AnimateFromCoeff | ||
| from src.generate_batch import get_data | ||
| from src.generate_facerender_batch import get_facerender_data | ||
| from src.utils.init_path import init_path | ||
| from cog import BasePredictor, Input, Path | ||
|
|
||
| checkpoints = "checkpoints" | ||
|
|
||
|
|
||
| class Predictor(BasePredictor): | ||
| def setup(self): | ||
| """Load the model into memory to make running multiple predictions efficient""" | ||
| device = "cuda" | ||
|
|
||
|
|
||
| sadtalker_paths = init_path(checkpoints,os.path.join("src","config")) | ||
|
|
||
| # init model | ||
| self.preprocess_model = CropAndExtract(sadtalker_paths, device | ||
| ) | ||
|
|
||
| self.audio_to_coeff = Audio2Coeff( | ||
| sadtalker_paths, | ||
| device, | ||
| ) | ||
|
|
||
| self.animate_from_coeff = { | ||
| "full": AnimateFromCoeff( | ||
| sadtalker_paths, | ||
| device, | ||
| ), | ||
| "others": AnimateFromCoeff( | ||
| sadtalker_paths, | ||
| device, | ||
| ), | ||
| } | ||
|
|
||
| def predict( | ||
| self, | ||
| source_image: Path = Input( | ||
| description="Upload the source image, it can be video.mp4 or picture.png", | ||
| ), | ||
| driven_audio: Path = Input( | ||
| description="Upload the driven audio, accepts .wav and .mp4 file", | ||
| ), | ||
| enhancer: str = Input( | ||
| description="Choose a face enhancer", | ||
| choices=["gfpgan", "RestoreFormer"], | ||
| default="gfpgan", | ||
| ), | ||
| preprocess: str = Input( | ||
| description="how to preprocess the images", | ||
| choices=["crop", "resize", "full"], | ||
| default="full", | ||
| ), | ||
| ref_eyeblink: Path = Input( | ||
| description="path to reference video providing eye blinking", | ||
| default=None, | ||
| ), | ||
| ref_pose: Path = Input( | ||
| description="path to reference video providing pose", | ||
| default=None, | ||
| ), | ||
| still: bool = Input( | ||
| description="can crop back to the original videos for the full body aniamtion when preprocess is full", | ||
| default=True, | ||
| ), | ||
| ) -> Path: | ||
| """Run a single prediction on the model""" | ||
|
|
||
| animate_from_coeff = ( | ||
| self.animate_from_coeff["full"] | ||
| if preprocess == "full" | ||
| else self.animate_from_coeff["others"] | ||
| ) | ||
|
|
||
| args = load_default() | ||
| args.pic_path = str(source_image) | ||
| args.audio_path = str(driven_audio) | ||
| device = "cuda" | ||
| args.still = still | ||
| args.ref_eyeblink = None if ref_eyeblink is None else str(ref_eyeblink) | ||
| args.ref_pose = None if ref_pose is None else str(ref_pose) | ||
|
|
||
| # crop image and extract 3dmm from image | ||
| results_dir = "results" | ||
| if os.path.exists(results_dir): | ||
| shutil.rmtree(results_dir) | ||
| os.makedirs(results_dir) | ||
| first_frame_dir = os.path.join(results_dir, "first_frame_dir") | ||
| os.makedirs(first_frame_dir) | ||
|
|
||
| print("3DMM Extraction for source image") | ||
| first_coeff_path, crop_pic_path, crop_info = self.preprocess_model.generate( | ||
| args.pic_path, first_frame_dir, preprocess, source_image_flag=True | ||
| ) | ||
| if first_coeff_path is None: | ||
| print("Can't get the coeffs of the input") | ||
| return | ||
|
|
||
| if ref_eyeblink is not None: | ||
| ref_eyeblink_videoname = os.path.splitext(os.path.split(ref_eyeblink)[-1])[ | ||
| 0 | ||
| ] | ||
| ref_eyeblink_frame_dir = os.path.join(results_dir, ref_eyeblink_videoname) | ||
| os.makedirs(ref_eyeblink_frame_dir, exist_ok=True) | ||
| print("3DMM Extraction for the reference video providing eye blinking") | ||
| ref_eyeblink_coeff_path, _, _ = self.preprocess_model.generate( | ||
| ref_eyeblink, ref_eyeblink_frame_dir | ||
| ) | ||
| else: | ||
| ref_eyeblink_coeff_path = None | ||
|
|
||
| if ref_pose is not None: | ||
| if ref_pose == ref_eyeblink: | ||
| ref_pose_coeff_path = ref_eyeblink_coeff_path | ||
| else: | ||
| ref_pose_videoname = os.path.splitext(os.path.split(ref_pose)[-1])[0] | ||
| ref_pose_frame_dir = os.path.join(results_dir, ref_pose_videoname) | ||
| os.makedirs(ref_pose_frame_dir, exist_ok=True) | ||
| print("3DMM Extraction for the reference video providing pose") | ||
| ref_pose_coeff_path, _, _ = self.preprocess_model.generate( | ||
| ref_pose, ref_pose_frame_dir | ||
| ) | ||
| else: | ||
| ref_pose_coeff_path = None | ||
|
|
||
| # audio2ceoff | ||
| batch = get_data( | ||
| first_coeff_path, | ||
| args.audio_path, | ||
| device, | ||
| ref_eyeblink_coeff_path, | ||
| still=still, | ||
| ) | ||
| coeff_path = self.audio_to_coeff.generate( | ||
| batch, results_dir, args.pose_style, ref_pose_coeff_path | ||
| ) | ||
| # coeff2video | ||
| print("coeff2video") | ||
| data = get_facerender_data( | ||
| coeff_path, | ||
| crop_pic_path, | ||
| first_coeff_path, | ||
| args.audio_path, | ||
| args.batch_size, | ||
| args.input_yaw, | ||
| args.input_pitch, | ||
| args.input_roll, | ||
| expression_scale=args.expression_scale, | ||
| still_mode=still, | ||
| preprocess=preprocess, | ||
| ) | ||
| animate_from_coeff.generate( | ||
| data, results_dir, args.pic_path, crop_info, | ||
| enhancer=enhancer, background_enhancer=args.background_enhancer, | ||
| preprocess=preprocess) | ||
|
|
||
| output = "/tmp/out.mp4" | ||
| mp4_path = os.path.join(results_dir, [f for f in os.listdir(results_dir) if "enhanced.mp4" in f][0]) | ||
| shutil.copy(mp4_path, output) | ||
|
|
||
| return Path(output) | ||
|
|
||
|
|
||
| def load_default(): | ||
| return Namespace( | ||
| pose_style=0, | ||
| batch_size=2, | ||
| expression_scale=1.0, | ||
| input_yaw=None, | ||
| input_pitch=None, | ||
| input_roll=None, | ||
| background_enhancer=None, | ||
| face3dvis=False, | ||
| net_recon="resnet50", | ||
| init_path=None, | ||
| use_last_fc=False, | ||
| bfm_folder="./src/config/", | ||
| bfm_model="BFM_model_front.mat", | ||
| focal=1015.0, | ||
| center=112.0, | ||
| camera_d=10.0, | ||
| z_near=5.0, | ||
| z_far=15.0, | ||
| ) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters