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import numpy as np
import argparse
import os, sys
from gui import GuiMain, GuiImage, GuiTag
import cv2
import logging
import magic
import subprocess
import re
import platform
import readline
def input_with_prefill(prompt, text):
def hook():
readline.insert_text(text)
readline.redisplay()
readline.set_pre_input_hook(hook)
result = input(prompt)
readline.set_pre_input_hook()
return result
def dir_path(string):
if os.path.isdir(string):
return string
else:
raise NotADirectoryError(string)
def open_system(file):
if platform.system() == 'Darwin': # macOS
subprocess.call(('open', file))
elif platform.system() == 'Windows': # Windows
os.startfile(file)
else: # linux variants
subprocess.call(('xdg-open', file))
def tmsu_init(base):
logger = logging.getLogger(__name__)
if not os.path.exists(os.path.join(base, ".tmsu")):
logger.info("TMSU database does not exist, creating ...")
proc = Popen(["tmsu", "init"], cwd=base)
proc.wait()
logger.debug("TMSU returncode: {}".format(proc.returncode))
if proc.returncode != 0:
logger.error("Could not initialize TMSU database.")
return False
return True
def tmsu_tags(base, file):
logger = logging.getLogger(__name__)
logger.debug("Getting existing tags for file {}".format(file))
tags = set()
proc = subprocess.Popen(["tmsu", "tags", file], cwd=base, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
proc.wait()
logger.debug("TMSU returncode: {}".format(proc.returncode))
if proc.returncode == 0:
tags.update(re.split("\s", proc.stdout.read().decode())[1:-1])
else:
logger.error("Could not get tags for file {}".format(file))
return tags
def tmsu_tag(base, file, tags, untag=True):
logger = logging.getLogger(__name__)
if untag:
logger.debug("Untagging file")
proc = subprocess.Popen(["tmsu", "untag", "--all", file], cwd=base, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
proc.wait()
if proc.returncode != 0:
logger.error("Could not untag file {}".format(file))
if tags:
logger.debug("Writing tags {}".format(tags))
proc = subprocess.Popen(["tmsu", "tag", file] + list(tags), cwd=base, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
proc.wait()
if proc.returncode != 0:
logger.error("Could not write tags to file {}".format(file))
else:
logger.info("Tags are empty, ignoring")
def walk(args):
logger = logging.getLogger(__name__)
logger.info("Walking files ...")
mime = magic.Magic(mime=True)
files = [os.path.abspath(os.path.join(dp, f)) for dp, dn, filenames in os.walk(args["base"]) for f in filenames]
logger.debug("Files: {}".format(files))
logger.info("Number of files found: {}".format(len(files)))
if args["predict_images"]:
from tensorflow.keras.applications.resnet50 import ResNet50, preprocess_input, decode_predictions
from tensorflow.keras.preprocessing import image
from tensorflow.keras.models import Model
model = ResNet50(weights="imagenet")
for file_path in files:
logger.info("Handling file {}".format(file_path))
tags = tmsu_tags(args["base"], file_path)
not_empty = bool(tags)
logger.info("Existing tags: {}".format(tags))
if args["open_system"]:
open_system(file_path)
mime_type = mime.from_file(file_path)
if mime_type.split("/")[0] == "image":
logger.debug("File is image")
img = cv2.imread(file_path)
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
img = cv2.resize(img, dsize=(800, 800), interpolation=cv2.INTER_CUBIC)
if args["predict_images"]:
logger.info("Predicting image tags ...")
array_pre = cv2.resize(img, dsize=(224, 224), interpolation=cv2.INTER_CUBIC)
for _ in range(4):
array = np.expand_dims(array_pre, axis=0)
array = preprocess_input(array)
predictions = model.predict(array)
classes = decode_predictions(predictions, top=args["predict_images_top"])
logger.debug("Predicted image classes: {}".format(classes[0]))
tags.update([name for _, name, _ in classes[0]])
array_pre = cv2.rotate(array_pre, cv2.ROTATE_90_CLOCKWISE)
logger.info("Predicted tags: {}".format(tags))
if args["gui_tag"]:
while(True): # For GUI inputs (rotate, ...)
logger.debug("Showing image GUI ...")
ret = GuiImage(img, tags).loop()
tags = set(ret[1]).difference({''})
if ret[0] == GuiImage.RETURN_ROTATE_90_CLOCKWISE:
img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
elif ret[0] == GuiImage.RETURN_ROTATE_90_COUNTERCLOCKWISE:
img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE)
elif ret[0] == GuiImage.RETURN_NEXT:
break
elif ret[0] == GuiImage.RETURN_ABORT:
return
else:
if args["gui_tag"]:
while(True):
logger.debug("Showing generic tagging GUI ...")
ret = GuiTag(file_path, tags).loop()
tags = set(ret[1]).difference({''})
if ret[0] == GuiTag.RETURN_NEXT:
break
elif ret[0] == GuiTag.RETURN_ABORT:
return
if not args["gui_tag"]:
tags = set(input_with_prefill("\nTags for file {}:\n".format(file_path), ','.join(tags)).split(","))
logger.info("Tagging {}".format(tags))
tmsu_tag(args["base"], file_path, tags, untag=not_empty)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Tag multiple files using TMSU.')
parser.add_argument('-b', '--base', nargs='?', default='./test', type=dir_path, help='Base directory for walking (default: %(default)s)')
parser.add_argument('-g', '--gui', nargs='?', const=1, default=False, type=bool, help='Show main GUI (default: %(default)s)')
parser.add_argument('--predict-images', nargs='?', const=1, default=False, type=bool, help='Use prediction for image tagging (default: %(default)s)')
parser.add_argument('--predict-images-top', nargs='?', const=1, default=10, type=int, help='Defines how many top prediction keywords should be used (default: %(default)s)')
parser.add_argument('--gui-tag', nargs='?', const=1, default=False, type=bool, help='Show GUI for tagging (default: %(default)s)')
parser.add_argument('--open-system', nargs='?', const=1, default=False, type=bool, help='Open all files with system default (default: %(default)s)')
parser.add_argument('-v', '--verbose', action="count", default=0, help="Verbosity level")
args = parser.parse_args()
if args.verbose == 0:
log_level = logging.WARNING
elif args.verbose == 1:
log_level = logging.INFO
elif args.verbose >= 2:
log_level = logging.DEBUG
logging.basicConfig(stream=sys.stdout, level=log_level)
logger = logging.getLogger(__name__)
args = {
"base": args.base,
"gui": args.gui,
"predict_images": args.predict_images,
"predict_images_top": args.predict_images_top,
"gui_tag": args.gui_tag,
"open_system": args.open_system,
"verbosity": args.verbose
}
logger.debug("args = {}".format(args))
if args["gui"]:
logger.debug("Starting main GUI ...")
args = GuiMain(args).loop()
if tmsu_init(args["base"]):
walk(args)
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