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Fix doc link problem #550

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2 changes: 1 addition & 1 deletion docs/best_practice.md
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ Advanced confiurations for `inference.py`:
| preprocess | `--preprocess` | `crop` | Run and produce the results in the croped input image. Other choices: `resize`, where the images will be resized to the specific resolution. `full` Run the full image animation, use with `--still` to get better results.
| ref Mode (eye) | `--ref_eyeblink` | None | A video path, where we borrow the eyeblink from this reference video to provide more natural eyebrow movement.
| ref Mode (pose) | `--ref_pose` | None | A video path, where we borrow the pose from the head reference video.
| 3D Mode | `--face3dvis` | False | Need additional installation. More details to generate the 3d face can be founded [here](docs/face3d.md).
| 3D Mode | `--face3dvis` | False | Need additional installation. More details to generate the 3d face can be founded [here](face3d.md).
| free-view Mode | `--input_yaw`,<br> `--input_pitch`,<br> `--input_roll` | None | Genearting novel view or free-view 4D talking head from a single image. More details can be founded [here](https://github.com/Winfredy/SadTalker#generating-4d-free-view-talking-examples-from-audio-and-a-single-image).


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2 changes: 1 addition & 1 deletion inference.py
Original file line number Diff line number Diff line change
Expand Up @@ -103,7 +103,7 @@ def main(args):
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("--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")
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