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Prepare dataset:
1)For training this model, you need to use "img_celeba" folder in celebA dataset.
2)This data should be aligned using 5 landmarks from "list_landmarks_align_celeba.tx using preproces function in https://github.com/microsoft/Deep3DFaceReconstruction/blob/4b27ddf4227c687b953caa7aa3f3e7acf87cc786/preprocess_img.py#L52
list_landmarks_align_celeba.txt
3) Segment the aligned dataset
4)Make RGBA using the following code:
def save_RGBA_face(im, parsing_anno, img_size, save_path='vis_results/parsing_map_on_im.jpg'):
the code for the third step?would you like share?
The text was updated successfully, but these errors were encountered:
Prepare dataset:
1)For training this model, you need to use "img_celeba" folder in celebA dataset.
2)This data should be aligned using 5 landmarks from "list_landmarks_align_celeba.tx using preproces function in https://github.com/microsoft/Deep3DFaceReconstruction/blob/4b27ddf4227c687b953caa7aa3f3e7acf87cc786/preprocess_img.py#L52
list_landmarks_align_celeba.txt
3) Segment the aligned dataset
4)Make RGBA using the following code:
def save_RGBA_face(im, parsing_anno, img_size, save_path='vis_results/parsing_map_on_im.jpg'):
the code for the third step?would you like share?
The text was updated successfully, but these errors were encountered: