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| 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" |
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| 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, | ||
| ) |
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