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Update extracted faces to use PNG EXIF data (#1123)

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Documentation
  - Update Usage.md, align.rst and image.rst
lib.image.py
  - read_image - Remove hash return, add metadata return
  - Remove read_image_hash functions
  - Add read_image_meta functios
  - Replace encode_image_with_hash with encode_image (to store metadata)
  - Add png meta reading and writing functions
  - Update Image Loaders/Savers to handle metadata rather than hashes
lib.training_data
  - Naming updates to remove references to hashes
lib.align.Alignments
  - Add versioning notes
  - Increment alignments version to 2.1
  - Deprecate hashing lookup functions
  - Replace filter_hashes with filter_faces
lib.align.detected_face
  - DetectedFace
    - Remove hash property
    - Add png header data serializing/deserializing functions
  - Mask
    - Add png header data serializing/deserializing functions
  - add update_legacy_png_header function to update png meta data
lib.cli.args - Deprecate alignments files for training
- plugins.train.trainer
  - Update alignments/mask code to read png header data
- scripts.convert
  - Aligned images folder - read data from png headers
- scripts.extract
  - Write png header information and no longer store hash of face
- tools.alignments
  - remove leftover-faces, merge and update-hashes jobs
  - Update jobs to use png meta data rather than hashes
- tools.manual
  - Update extract code to output png meta data and don't store hashes
  - Perform check on launch that tool is not pointing at a faces folder
tools.mask
  - Update to use png meta data
tools.sort
  - Update to use png meta data
This commit is contained in:
torzdf
2021-02-14 16:49:55 +00:00
committed by GitHub
parent a84462f4fa
commit b1cfbe458c
21 changed files with 1061 additions and 1171 deletions
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USAGE.md
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@@ -75,8 +75,6 @@ When extracting faces for training, you are looking to gather around 500 to 5000
You do not want to extract every single frame from a video for training as from frame to frame the faces will be very similar.
If you plan to train with a mask or use the Warp to Landmarks option, then you will need to copy the output `alignments.json` file from your source frames folder into your output faces folder for training. If you have extracted from multiple sources, you can use the alignments tool to merge several `alignments.json` files together.
You can see the full list of arguments for extracting by hovering over the options in the GUI or passing the help flag. i.e:
```bash
python faceswap.py extract -h