def f(errors_by_every_file_path, allowable_error):
from trem_researcher import TremResearcher
import numpy as np
_researcher = TremResearcher(marks_num=5, marks_size_mm=10)
folders_to_check = [
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\X 0',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\X 15',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\X 30',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\X 45',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\X 60',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\X 75',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\Y 0',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\Y 15',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\Y 30',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\Y 45',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\Y 60',
r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 3\Y 75'
]
with open((errors_by_every_file_path), 'rb') as file:
errors = pickle.load(file)
files_to_calib = []
for file in errors:
errors_for_file = np.asarray(
[np.mean(errors[file][folder]) for folder in errors[file]])
is_allowable_error = np.abs(errors_for_file) < allowable_error
if list(is_allowable_error).count(True) == len(is_allowable_error):
files_to_calib += [file]
if len(files_to_calib) == 0:
return {
allowable_error: {folder: np.nan
for folder in folders_to_check}
}
print(
f"Calibrate sample with allowable_error={allowable_error}. Started.\n")
_researcher.calibrate(images_paths=files_to_calib)
print(
f"Calibrate sample with allowable_error={allowable_error}. Finished.\n"
)
FRAMES_PER_STEP = 5
STEP_MM = 5
get_errors = _researcher.get_errors_finder(
frames_per_step=FRAMES_PER_STEP,
step_mm=STEP_MM,
text_for_log=
f'Find errors for subsample with allowable error:{allowable_error}.')
_res = {
allowable_error: {
folder: get_errors(_researcher.photo_files(folder))
for folder in folders_to_check
}
}
return _res
def f(calib_images_path, i):
from trem_researcher import TremResearcher
import numpy as np
import cv2
_researcher = TremResearcher(marks_num=5, marks_size_mm=10)
calib_images = _researcher.photo_files(calib_images_path)
FRAMES_PER_STEP = 5
STEP_MM = 5
# folders_to_check = [r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 2\X',
# r'D:\Projects\Tremor\Calibration\Check calibration photo\Focus distance 50 mm 2\Y']
folders_to_check = [
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}X 0',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}X 15',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}X 30',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}X 45',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}X 60',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}Y 0',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}Y 15',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}Y 30',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}Y 45',
fr'..{sep}Calibration{sep}Check calibration photo{sep}Focus distance 50 mm 3{sep}Y 60'
]
print(f"Calibrate with {i} file. Started.")
_researcher.calibrate(images_paths=[calib_images[i]])
print(f"Calibrate with {i} file. Finished.")
get_errors = _researcher.get_errors_finder(
frames_per_step=FRAMES_PER_STEP,
step_mm=STEP_MM,
text_for_log=f'Find errors for {calib_images[i]}.')
return {
calib_images[i]: {
folder: get_errors(_researcher.photo_files(folder))
for folder in folders_to_check
}
}