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authorLeonard Kugis <leonard@kug.is>2023-04-09 05:40:53 +0200
committerLeonard Kugis <leonard@kug.is>2023-04-09 05:40:53 +0200
commit4b67f639061911f07442f05484114f0c4cddc64e (patch)
treef79a617b9025caca6d0d87a858d2eab2e2dbf5cc /gui.py
parent1433cd6f2dccb6b981209a2cc2a3ac6a45156387 (diff)
Implemented metadata tagging
Diffstat (limited to 'gui.py')
-rw-r--r--gui.py37
1 files changed, 20 insertions, 17 deletions
diff --git a/gui.py b/gui.py
index 7bd30ad..8f2ad4c 100644
--- a/gui.py
+++ b/gui.py
@@ -13,6 +13,7 @@ class GuiMain(object):
self.__args = args
self.__base = StringVar(self.__master, value=args["base"])
self.__file_dir = StringVar(self.__master, value=args["file_dir"])
+ self.__tag_metadata = BooleanVar(self.__master, value=args["tag_metadata"])
self.__predict_images = BooleanVar(self.__master, value=args["predict_images"])
self.__predict_images_backend = StringVar(self.__master, value=str(args["predict_images_backend"]))
self.__predict_images_top = StringVar(self.__master, value=str(args["predict_images_top"]))
@@ -33,29 +34,31 @@ class GuiMain(object):
Label(self.__master, text="File directory for walking:").grid(row=1, column=0)
Entry(self.__master, textvariable=self.__file_dir).grid(row=1, column=1, columnspan=2)
Button(self.__master, text="Browse", command=lambda: self.__browse(self.__file_dir)).grid(row=1, column=3)
- Checkbutton(self.__master, text="Use prediction for image tagging", variable=self.__predict_images).grid(row=2, column=0, columnspan=4, sticky=W)
- Label(self.__master, text="Image prediction backend:").grid(row=3, column=0)
- ttk.Combobox(self.__master, textvariable=self.__predict_images_backend, values=("torch", "tensorflow", "keras"), state="readonly").grid(row=3, column=1)
- Label(self.__master, text="Number of top results:").grid(row=4, column=0)
- Entry(self.__master, textvariable=self.__predict_images_top, validate='all', validatecommand=(validate_number, '%P')).grid(row=4, column=1, columnspan=1)
- Checkbutton(self.__master, text="Skip detail scan in image prediction", variable=self.__predict_images_skip_detail).grid(row=5, column=0, columnspan=4, sticky=W)
- Label(self.__master, text="Width factor for detail scan:").grid(row=6, column=0)
- Entry(self.__master, textvariable=self.__predict_images_detail_factor, validate='all', validatecommand=(validate_number, '%P')).grid(row=6, column=1, columnspan=1)
- Checkbutton(self.__master, text="Show GUI for tagging", variable=self.__gui_tag).grid(row=7, column=0, columnspan=4, sticky=W)
- Label(self.__master, text="Image GUI preview size:").grid(row=8, column=0)
- Entry(self.__master, textvariable=self.__gui_image_length, validate='all', validatecommand=(validate_number, '%P')).grid(row=8, column=1, columnspan=1)
- Checkbutton(self.__master, text="Open all files with system default", variable=self.__open_system).grid(row=9, column=0, columnspan=4, sticky=W)
- Checkbutton(self.__master, text="Skip prompt for file tags", variable=self.__skip_prompt).grid(row=10, column=0, columnspan=4, sticky=W)
- Checkbutton(self.__master, text="Skip already tagged files", variable=self.__skip_tagged).grid(row=11, column=0, columnspan=4, sticky=W)
- Label(self.__master, text="Start at index:").grid(row=12, column=0)
- Entry(self.__master, textvariable=self.__index, validate='all', validatecommand=(validate_number, '%P')).grid(row=12, column=1, columnspan=1)
- Button(self.__master, text="Start", command=self.__master.destroy).grid(row=13, column=0, columnspan=4)
+ Checkbutton(self.__master, text="Use metadata as default tags", variable=self.__tag_metadata).grid(row=2, column=0, columnspan=4, sticky=W)
+ Checkbutton(self.__master, text="Use prediction for image tagging", variable=self.__predict_images).grid(row=3, column=0, columnspan=4, sticky=W)
+ Label(self.__master, text="Image prediction backend:").grid(row=4, column=0)
+ ttk.Combobox(self.__master, textvariable=self.__predict_images_backend, values=("torch", "tensorflow", "keras"), state="readonly").grid(row=4, column=1)
+ Label(self.__master, text="Number of top results:").grid(row=5, column=0)
+ Entry(self.__master, textvariable=self.__predict_images_top, validate='all', validatecommand=(validate_number, '%P')).grid(row=5, column=1, columnspan=1)
+ Checkbutton(self.__master, text="Skip detail scan in image prediction", variable=self.__predict_images_skip_detail).grid(row=6, column=0, columnspan=4, sticky=W)
+ Label(self.__master, text="Width factor for detail scan:").grid(row=7, column=0)
+ Entry(self.__master, textvariable=self.__predict_images_detail_factor, validate='all', validatecommand=(validate_number, '%P')).grid(row=7, column=1, columnspan=1)
+ Checkbutton(self.__master, text="Show GUI for tagging", variable=self.__gui_tag).grid(row=8, column=0, columnspan=4, sticky=W)
+ Label(self.__master, text="Image GUI preview size:").grid(row=9, column=0)
+ Entry(self.__master, textvariable=self.__gui_image_length, validate='all', validatecommand=(validate_number, '%P')).grid(row=9, column=1, columnspan=1)
+ Checkbutton(self.__master, text="Open all files with system default", variable=self.__open_system).grid(row=10, column=0, columnspan=4, sticky=W)
+ Checkbutton(self.__master, text="Skip prompt for file tags", variable=self.__skip_prompt).grid(row=11, column=0, columnspan=4, sticky=W)
+ Checkbutton(self.__master, text="Skip already tagged files", variable=self.__skip_tagged).grid(row=12, column=0, columnspan=4, sticky=W)
+ Label(self.__master, text="Start at index:").grid(row=13, column=0)
+ Entry(self.__master, textvariable=self.__index, validate='all', validatecommand=(validate_number, '%P')).grid(row=13, column=1, columnspan=1)
+ Button(self.__master, text="Start", command=self.__master.destroy).grid(row=14, column=0, columnspan=4)
def loop(self):
self.__master.mainloop()
self.__args["base"] = self.__base.get()
self.__args["file_dir"] = self.__file_dir.get()
+ self.__args["tag_metadata"] = self.__tag_metadata.get()
self.__args["predict_images"] = self.__predict_images.get()
self.__args["predict_images_backend"] = self.__predict_images_backend.get()
self.__args["predict_images_top"] = int(self.__predict_images_top.get())