Delete inference.py

inference.py

@@ -1,145 +0,0 @@
-from glob import glob
-import shutil
-import torch
-from time import  strftime
-import os, sys, time
-from argparse import ArgumentParser
-
-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
-
-def main(args):
-    #torch.backends.cudnn.enabled = False
-
-    pic_path = args.source_image
-    audio_path = args.driven_audio
-    save_dir = os.path.join(args.result_dir, strftime("%Y_%m_%d_%H.%M.%S"))
-    os.makedirs(save_dir, exist_ok=True)
-    pose_style = args.pose_style
-    device = args.device
-    batch_size = args.batch_size
-    input_yaw_list = args.input_yaw
-    input_pitch_list = args.input_pitch
-    input_roll_list = args.input_roll
-    ref_eyeblink = args.ref_eyeblink
-    ref_pose = args.ref_pose
-
-    current_root_path = os.path.split(sys.argv[0])[0]
-
-    sadtalker_paths = init_path(args.checkpoint_dir, os.path.join(current_root_path, 'src/config'), args.size, args.old_version, args.preprocess)
-
-    #init model
-    preprocess_model = CropAndExtract(sadtalker_paths, device)
-
-    audio_to_coeff = Audio2Coeff(sadtalker_paths,  device)
-    
-    animate_from_coeff = AnimateFromCoeff(sadtalker_paths, device)
-
-    #crop image and extract 3dmm from image
-    first_frame_dir = os.path.join(save_dir, 'first_frame_dir')
-    os.makedirs(first_frame_dir, exist_ok=True)
-    print('3DMM Extraction for source image')
-    first_coeff_path, crop_pic_path, crop_info =  preprocess_model.generate(pic_path, first_frame_dir, args.preprocess,\
-                                                                             source_image_flag=True, pic_size=args.size)
-    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(save_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, _, _ =  preprocess_model.generate(ref_eyeblink, ref_eyeblink_frame_dir, args.preprocess, source_image_flag=False)
-    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(save_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, _, _ =  preprocess_model.generate(ref_pose, ref_pose_frame_dir, args.preprocess, source_image_flag=False)
-    else:
-        ref_pose_coeff_path=None
-
-    #audio2ceoff
-    batch = get_data(first_coeff_path, audio_path, device, ref_eyeblink_coeff_path, still=args.still)
-    coeff_path = audio_to_coeff.generate(batch, save_dir, pose_style, ref_pose_coeff_path)
-
-    # 3dface render
-    if args.face3dvis:
-        from src.face3d.visualize import gen_composed_video
-        gen_composed_video(args, device, first_coeff_path, coeff_path, audio_path, os.path.join(save_dir, '3dface.mp4'))
-    
-    #coeff2video
-    data = get_facerender_data(coeff_path, crop_pic_path, first_coeff_path, audio_path, 
-                                batch_size, input_yaw_list, input_pitch_list, input_roll_list,
-                                expression_scale=args.expression_scale, still_mode=args.still, preprocess=args.preprocess, size=args.size)
-    
-    result = animate_from_coeff.generate(data, save_dir, pic_path, crop_info, \
-                                enhancer=args.enhancer, background_enhancer=args.background_enhancer, preprocess=args.preprocess, img_size=args.size)
-    
-    shutil.move(result, save_dir+'.mp4')
-    print('The generated video is named:', save_dir+'.mp4')
-
-    if not args.verbose:
-        shutil.rmtree(save_dir)
-
-    
-if __name__ == '__main__':
-
-    parser = ArgumentParser()  
-    parser.add_argument("--driven_audio", default='./examples/driven_audio/bus_chinese.wav', help="path to driven audio")
-    parser.add_argument("--source_image", default='./examples/source_image/full_body_1.png', help="path to source image")
-    parser.add_argument("--ref_eyeblink", default=None, help="path to reference video providing eye blinking")
-    parser.add_argument("--ref_pose", default=None, help="path to reference video providing pose")
-    parser.add_argument("--checkpoint_dir", default='./checkpoints', help="path to output")
-    parser.add_argument("--result_dir", default='./results', help="path to output")
-    parser.add_argument("--pose_style", type=int, default=0,  help="input pose style from [0, 46)")
-    parser.add_argument("--batch_size", type=int, default=2,  help="the batch size of facerender")
-    parser.add_argument("--size", type=int, default=256,  help="the image size of the facerender")
-    parser.add_argument("--expression_scale", type=float, default=1.,  help="the batch size of facerender")
-    parser.add_argument('--input_yaw', nargs='+', type=int, default=None, help="the input yaw degree of the user ")
-    parser.add_argument('--input_pitch', nargs='+', type=int, default=None, help="the input pitch degree of the user")
-    parser.add_argument('--input_roll', nargs='+', type=int, default=None, help="the input roll degree of the user")
-    parser.add_argument('--enhancer',  type=str, default=None, help="Face enhancer, [gfpgan, RestoreFormer]")
-    parser.add_argument('--background_enhancer',  type=str, default=None, help="background enhancer, [realesrgan]")
-    parser.add_argument("--cpu", dest="cpu", action="store_true") 
-    parser.add_argument("--face3dvis", action="store_true", help="generate 3d face and 3d landmarks") 
-    parser.add_argument("--still", action="store_true", help="can crop back to the original videos for the full body aniamtion") 
-    parser.add_argument("--preprocess", default='crop', choices=['crop', 'extcrop', 'resize', 'full', 'extfull'], help="how to preprocess the images" ) 
-    parser.add_argument("--verbose",action="store_true", help="saving the intermedia output or not" ) 
-    parser.add_argument("--old_version",action="store_true", help="use the pth other than safetensor version" ) 
-
-
-    # net structure and parameters
-    parser.add_argument('--net_recon', type=str, default='resnet50', choices=['resnet18', 'resnet34', 'resnet50'], help='useless')
-    parser.add_argument('--init_path', type=str, default=None, help='Useless')
-    parser.add_argument('--use_last_fc',default=False, help='zero initialize the last fc')
-    parser.add_argument('--bfm_folder', type=str, default='./checkpoints/BFM_Fitting/')
-    parser.add_argument('--bfm_model', type=str, default='BFM_model_front.mat', help='bfm model')
-
-    # default renderer parameters
-    parser.add_argument('--focal', type=float, default=1015.)
-    parser.add_argument('--center', type=float, default=112.)
-    parser.add_argument('--camera_d', type=float, default=10.)
-    parser.add_argument('--z_near', type=float, default=5.)
-    parser.add_argument('--z_far', type=float, default=15.)
-
-    args = parser.parse_args()
-
-    if torch.cuda.is_available() and not args.cpu:
-        args.device = "cuda"
-    else:
-        args.device = "cpu"
-
-    main(args)
-