Files
lua-scripts-w-api/contrib/face_recognition.lua

216 lines
7.9 KiB
Lua

--[[
Face recognition for darktable
Copyright (c) 2017 Sebastian Witt
darktable is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
darktable is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with darktable. If not, see <http://www.gnu.org/licenses/>.
]]
--[[
face_recognition
Add a new storage option to send images to face_recognition.
Images are exported to darktable tmp dir first.
A directory with known faces must exist, the image name are the
tag names which will be used.
Multiple images for one face can exist, add a number to it, the
number will be removed from the tag, for example:
People|IknowYou1.jpg
People|IknowYou2.jpg
People|Another.jpg
People|Youtoo.jpg
ADDITIONAL SOFTWARE NEEDED FOR THIS SCRIPT
* https://github.com/ageitgey/face_recognition
* https://github.com/darktable-org/lua-scripts/tree/master/lib
USAGE
* require this file from your main luarc config file.
This plugin will add a new storage option and calls face_recognition after export.
]]
local dt = require "darktable"
local df = require "lib/dtutils.file"
local gettext = dt.gettext
-- works with darktable API version from 2.0.0 to 5.0.0
dt.configuration.check_version(...,{2,0,0},{3,0,0},{4,0,0},{5,0,0})
-- Tell gettext where to find the .mo file translating messages for a particular domain
gettext.bindtextdomain("face_recognition", dt.configuration.config_dir.."/lua/locale/")
local function _(msgid)
return gettext.dgettext("face_recognition", msgid)
end
-- Preference: Tag for unknown_person
dt.preferences.register("FaceRecognition",
"unknownTag",
"string", -- type
_("Face recognition: Unknown tag"), -- label
_("Tag for faces that are not recognized"), -- tooltip
"unknown_person")
-- Preference: Images with this substring in tags are ignored
dt.preferences.register("FaceRecognition",
"ignoreTags",
"string", -- type
_("Face recognition: Ignore tag"), -- label
_("Images with this substring in tags are ignored, separate multiple strings with ,"), -- tooltip
"")
-- Preference: Number of CPU cores to use
dt.preferences.register("FaceRecognition",
"nrCores",
"integer", -- type
_("Face recognition: Nr of CPU cores"), -- label
_("Number of CPU cores to use, 0 for all"), -- tooltip
0, -- default
0, -- min
64) -- max
-- Preference: Known faces path
dt.preferences.register("FaceRecognition",
"knownImagePath",
"directory", -- type
_("Face recognition: Known images"), -- label
_("Path to images with known faces, files named after tag to apply"), -- tooltip
"~/.config/darktable/face_recognition") -- default -- default
local function show_status (storage, image, format, filename, number, total, high_quality, extra_data)
dt.print("Export to Face recognition "..tostring(number).."/"..tostring(total))
end
-- Check if image has ignored tag attached
local function ignoreByTag (image, ignoreTags)
local tags = image:get_tags ()
local ignoreImage = false
-- For each image tag
for _,t in ipairs (tags) do
-- Check if it contains a ignore tag
for _,it in ipairs (ignoreTags) do
if string.find (t.name, it, 1, true) then
-- The image has ignored tag attached
ignoreImage = true
dt.print_error ("Face recognition: Ignored tag: " .. it .. " found in " .. image.id .. ":" .. t.name)
end
end
end
return ignoreImage
end
local function face_recognition (storage, image_table, extra_data) --finalize
if not df.check_if_bin_exists("face_recognition") then
dt.print(_("Face recognition not found"))
return
end
-- Get preferences
local knownPath = dt.preferences.read("FaceRecognition", "knownImagePath", "directory")
local nrCores = dt.preferences.read("FaceRecognition", "nrCores", "integer")
local ignoreTagString = dt.preferences.read("FaceRecognition", "ignoreTags", "string")
local unknownTag = dt.preferences.read("FaceRecognition", "unknownTag", "string")
-- face_recognition uses -1 for all cores, we use 0 in preferences
if nrCores < 1 then
nrCores = -1
end
-- Split ignore tags (if any)
ignoreTags = {}
for tag in string.gmatch(ignoreTagString, '([^,]+)') do
table.insert (ignoreTags, tag)
dt.print_error ("Face recognition: Ignore tag: " .. tag)
end
-- list of exported images
local img_list = {}
for img,v in pairs(image_table) do
table.insert (img_list, v)
end
-- Get path of exported images
local path = df.get_path (img_list[1])
dt.print_error ("Face recognition: Path to unknown images: " .. path)
-- Output file
local output = path .. "facerecognition.txt"
local command = "face_recognition --cpus " .. nrCores .. " " .. knownPath .. " " .. path .. " > " .. output
dt.print_error("Face recognition: Running command: " .. command)
dt.print(_("Starting face recognition..."))
dt.control.execute(command)
-- Remove exported images
for _,v in ipairs(img_list) do
os.remove (v)
end
-- Open output file
local f = io.open(output, "rb")
if not f then
dt.print(_("Face recognition failed"))
else
dt.print(_("Face recognition finished"))
f:close ()
end
-- Read output
local result = {}
for line in io.lines(output) do
local file, tag = string.match (line, "(.*),(.*)$")
tag = string.gsub (tag, "%d*$", "")
dt.print_error ("File:"..file .." Tag:".. tag)
if result[file] ~= nil then
table.insert (result[file], tag)
else
result[file] = {tag}
end
end
-- Attach tags
for file,tags in pairs(result) do
-- Find image in table
for img,file2 in pairs(image_table) do
if file == file2 then
for _,t in ipairs (tags) do
-- Check if image is ignored
if ignoreByTag (img, ignoreTags) then
dt.print_error("Face recognition: Ignoring image with ID " .. img.id)
else
-- Check of unrecognized unknown_person
if t == "unknown_person" then
t = unknownTag
end
dt.print_error ("ImgId:" .. img.id .. " Tag:".. t)
-- Create tag if it does not exists
local tag = dt.tags.create (t)
img:attach_tag (tag)
end
end
end
end
end
--os.remove (output)
end
-- Register
dt.register_storage("module_face_recognition", _("Face recognition"), show_status, face_recognition)
--
-- vim: shiftwidth=2 expandtab tabstop=2 cindent syntax=lua