Merge branch 'master' into master
This commit is contained in:
Rafał Mikrut
GitHub
commit
8b8dc8ca09
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@ -4,9 +4,9 @@ Czkawka GUI is a graphical user interface for Czkawka Core written with GTK 4.
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## Requirements
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Requirements depends on platform that you are using.
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Requirements depend on your platform.
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Prebuild binareies are available here - https://github.com/qarmin/czkawka/releases/
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Prebuilt binaries are available here - https://github.com/qarmin/czkawka/releases/
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### Linux
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#### Prebuild binaries
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@ -22,16 +22,16 @@ brew install gtk4 adwaita-icon-theme ffmpeg librsvg libheif libraw
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```
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### Windows
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All needed libraries should be bundled in zip(except ffmpeg which you need download and unpack to location with `czkawka_gui.exe` - https://ffmpeg.org/download.html#build-windows)
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All needed libraries should be bundled in zip (except ffmpeg which you need download and unpack to location with `czkawka_gui.exe` - https://ffmpeg.org/download.html#build-windows)
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You can also install app via msys2(webp and heif should work here) - https://www.msys2.org/#installation (czkawka package - https://packages.msys2.org/base/mingw-w64-czkawka)
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You can also install the app via msys2 (webp and heif should work here) - https://www.msys2.org/#installation (czkawka package - https://packages.msys2.org/base/mingw-w64-czkawka)
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```
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pacman -S mingw-w64-x86_64-czkawka-gui
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```
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and you can create shortcut to `C:\msys64\mingw64\bin\czkawka_gui.exe`
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and you can create a shortcut to `C:\msys64\mingw64\bin\czkawka_gui.exe`
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## Compilation
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Compilation of gui is harder than compilation cli or core, because uses gtk4 which is written in C and also requires a lot build and runtime dependencies.
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Compiling the gui is harder than compiling cli or core, because it uses gtk4 which is written in C and also requires a lot build and runtime dependencies.
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### Requirements
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| Program | Minimal version |
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@ -56,18 +56,18 @@ cargo run --release --bin czkawka_gui
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cargo run --release --bin czkawka_gui --features "heif,libraw"
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```
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### Windows
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Currently, there is no instruction how to compile app on Windows natively.</br>
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You can check for CI for instructions how to cross-compile app from linux to windows(uses prebuilt docker image) - [CI Instructions](../.github/workflows/windows.yml)</br>
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There exists mingw recipe which you can try to convert for your purposes - https://github.com/msys2/MINGW-packages/blob/master/mingw-w64-czkawka/PKGBUILD
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Currently, there is are no instructions on how to compile the app on Windows natively.</br>
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You can check for CI for instructions how to cross-compile the app from linux to windows (uses prebuilt docker image) - [CI Instructions](../.github/workflows/windows.yml)</br>
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There exists a mingw recipe which you can try to convert for your purposes - https://github.com/msys2/MINGW-packages/blob/master/mingw-w64-czkawka/PKGBUILD
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## Limitations
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Not all available features other components implemented here, so this is list of limitations:
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- Snap versions not allows to use similar videos feature
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- On Windows, prebuild binaries do not support heif and webp files
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Not all available features and/or components implemented here, this is the list of limitations:
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- Snap versions does not allow to use the similar videos feature
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- Windows version does not support heif and webp files with prebuilt binaries
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- Prebuilt binaries for mac arm do not exist
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- On Windows, text may appear very small on high resolution displays, a solution is to manually change DPI scaling for this app, see :
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- recommended fix: [#787#issuecomment-1292253437](https://github.com/qarmin/czkawka/issues/787#issuecomment-1292253437) (modify gtk.css),
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- or this workaround: [#867#issuecomment-1416761308](https://github.com/qarmin/czkawka/issues/863#issuecomment-1416761308) (modify windows DPI settings for this app (this works too but the text is a bit blurry)).
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- Prebuild binaries for mac arm not exists
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## License
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Code is distributed under MIT license.
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@ -69,22 +69,22 @@ duplicate_check_method_tooltip =
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Hash - Finds files which have the same content. This mode hashes the file and later compares this hash to find duplicates. This mode is the safest way to find duplicates. App heavily uses cache, so second and further scans of the same data should be a lot of faster than the first.
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image_hash_size_tooltip =
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Each checked image produce special hash which can be compared with every other, and small difference between them means that this images are similar.
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Each checked image produces a special hash which can be compared with each other, and a small difference between them means that these images are similar.
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8 hash size is quite good to find images that are only little similar to original. With bigger set of images (>1000) will produce big amount of false positives, so I recommend to use for such amount bigger hash size.
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8 hash size is quite good to find images that are only a little similar to original. With a bigger set of images (>1000), this will produce a big amount of false positives, so I recommend to use a bigger hash size in this case.
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16 is default hash size which is quite good compromise between finding even a little similar images and having small amount of hash collisions.
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16 is the default hash size which is quite a good compromise between finding even a little similar images and having only a small amount of hash collisions.
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32 and 64 hashes finds only very similar images, but almost should not have any false positives (maybe except some images with alpha channel).
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32 and 64 hashes find only very similar images, but should have almost no false positives (maybe except some images with alpha channel).
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image_resize_filter_tooltip =
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To compute hash of image, library must first resize it.
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To compute hash of image, the library must first resize it.
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Depend on chosen algorithm, resulted image used to calculate hash will may looks little different.
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Depend on chosen algorithm, the resulting image used to calculate hash will looks a little different.
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The fastest algorithm to use, but also one which gives the worst results is Nearest, it is enabled by default, because with 16x16 hash size, lower quality it is not really visible.
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The fastest algorithm to use, but also the one which gives the worst results, is Nearest. It is enabled by default, because with 16x16 hash size lower quality it is not really visible.
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With 8x8 hash size is recommended to use different algorithm than Nearest, to have better groups of images.
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With 8x8 hash size it is recommended to use a different algorithm than Nearest, to have better groups of images.
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image_hash_alg_tooltip =
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Users can choose from one of many algorithms of calculating the hash.
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@ -146,7 +146,7 @@ main_check_box_broken_files_archive = Archive
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main_check_box_broken_files_image = Image
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check_button_general_same_size = Ignore same size
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check_button_general_same_size_tooltip = Ignore from results, files which have identical size - usually this are 1:1 duplicates
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check_button_general_same_size_tooltip = Ignore files with identical size in results - usually these are 1:1 duplicates
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main_label_size_bytes_tooltip = Size of files which will be used in scan
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