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Part of: https://github.com/NixOS/nixpkgs/issues/108938
meta = with stdenv.lib;
is a widely used pattern. We want to slowly remove
the `stdenv.lib` indirection and encourage people
to use `lib` directly. Thus let’s start with the meta
field.
This used a rewriting script to mostly automatically
replace all occurances of this pattern, and add the
`lib` argument to the package header if it doesn’t
exist yet.
The script in its current form is available at
https://cs.tvl.fyi/depot@2f807d7f141068d2d60676a89213eaa5353ca6e0/-/blob/users/Profpatsch/nixpkgs-rewriter/default.nix
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https://pypi.org/project/face-recognition/1.3.0/
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There's no git tag for 1.2.3, hence we need to pin to the corresponding
revision because we build from a git source.
After recent breakage on Hydra[1], the tests were disabled. Although
some build machines don't support AVX, we shouldn't use a DLib without
AVX as the builder's result is also used on modern machines with AVX
support. Before merging changes, maintainers should run the check phase
locally in a `nix-shell`.
[1] https://hydra.nixos.org/build/89533530
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The following fixes have been applied according to the changelog (https://github.com/ageitgey/face_recognition/releases)
- Added the face_detection CLI command
- Removed dependencies on scipy to make installation easier
- Cleaned up KNN example and fixed a bug with drawing fonts to label detected faces in the demo
Furthermore the maintainer switched to actual GIT tags for PyPI releases
as discussed in ageitgey/face_recognition#417 and #37566
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Adds the python package `face_recognition` and its dependency
`face_recognition_models`.
This package is a wrapper for `dlib` which is able to detect faces in a
given image. I checked the package with the following expression:
```
with import ./. { };
stdenv.mkDerivation {
name = "facetest";
src = null;
buildInputs = with pythonPackages; [ face_recognition ];
}
```
The package works perfectly fine in a `nix-shell`:
```
$ nix-shell
[nix-shell:~]$ python
Python 2.7.14 (default, Sep 16 2017, 17:49:51)
[GCC 7.3.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import face_recognition
>>> img = face_recognition.load_image_file("/home/ma27/me.jpg")
>>> print(face_recognition.face_locations(img))
```
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