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#!/usr/bin/env python3
import glob
import logging
import os
from typing import Callable, List, NamedTuple, Optional, Set
import warnings
import argparse_utils
import config
logger = logging.getLogger(__name__)
parser = config.add_commandline_args(
f"ML Quick Labeler ({__file__})",
"Args related to quick labeling of ML training data",
)
parser.add_argument(
"--ml_quick_label_skip_list_path",
default="./qlabel_skip_list.txt",
metavar="FILENAME",
type=argparse_utils.valid_filename,
help="Path to file in which to store already labeled data.",
)
parser.add_argument(
"--ml_quick_label_use_skip_lists",
default=True,
action=argparse_utils.ActionNoYes,
help='Should we use a skip list file to speed up execution?',
)
parser.add_argument(
"--ml_quick_label_overwrite_labels",
default=False,
action=argparse_utils.ActionNoYes,
help='Enable overwriting existing labels; default is to not relabel.',
)
class InputSpec(NamedTuple):
image_file_glob: Optional[str]
image_file_prepopulated_list: Optional[List[str]]
image_file_to_features_file: Callable[[str], str]
label: str
valid_keystrokes: List[str]
prompt: str
keystroke_to_label: Callable[[str], str]
def read_skip_list() -> Set[str]:
ret: Set[str] = set()
if config.config['ml_quick_label_use_skip_lists']:
quick_skip_file = config.config['ml_quick_label_skip_list_path']
if os.path.exists(quick_skip_file):
with open(quick_skip_file, 'r') as f:
lines = f.readlines()
for line in lines:
line = line[:-1]
line.strip()
ret.add(line)
logger.debug(f'Read {quick_skip_file} and found {len(ret)} entries.')
return ret
def write_skip_list(skip_list) -> None:
if config.config['ml_quick_label_use_skip_lists']:
quick_skip_file = config.config['ml_quick_label_skip_list_path']
with open(quick_skip_file, 'w') as f:
for filename in skip_list:
filename = filename.strip()
if len(filename) > 0:
f.write(f'{filename}\n')
logger.debug(f'Updated {quick_skip_file}')
def label(in_spec: InputSpec) -> None:
import input_utils
images = []
if in_spec.image_file_glob is not None:
images += glob.glob(in_spec.image_file_glob)
elif in_spec.image_file_prepopulated_list is not None:
images += in_spec.image_file_prepopulated_list
else:
raise ValueError(
'One of image_file_glob or image_file_prepopulated_list is required'
)
skip_list = read_skip_list()
for image in images:
if image in skip_list:
logger.debug(f'Skipping {image} because of the skip list')
continue
features = in_spec.image_file_to_features_file(image)
if features is None or not os.path.exists(features):
msg = f'File {image} yielded file {features} which does not exist, SKIPPING.'
logger.warning(msg)
warnings.warn(msg)
continue
# Render features and image.
filtered_lines = []
with open(features, "r") as f:
lines = f.readlines()
saw_label = False
for line in lines:
line = line[:-1]
if in_spec.label not in line:
filtered_lines.append(line)
else:
saw_label = True
if not saw_label or config.config['ml_quick_label_overwrite_labels']:
logger.info(features)
os.system(f'xv {image} &')
keystroke = input_utils.single_keystroke_response(
in_spec.valid_keystrokes,
prompt=in_spec.prompt,
)
os.system('killall xv')
label_value = in_spec.keystroke_to_label(keystroke)
filtered_lines.append(f"{in_spec.label}: {label_value}\n")
with open(features, 'w') as f:
f.writelines("%s\n" % line for line in filtered_lines)
skip_list.add(image)
write_skip_list(skip_list)
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