def get_boxes_simplified(db_filename,
data_directory,
capture_ids,
label_type,
detection_type,
parent_type,
x_stride=db_export.x_stride_dft,
y_offset=db_export.y_offset_dft):
'''
Simple work flow for finding all the detected and labeled boxes
given a data directory and database file.
'''
if detection_type is None:
detection_type = label_type
if capture_ids is not None:
detection_capture_ids = capture_ids
label_capture_ids = capture_ids
else:
detection_capture_ids = process_export.find_capture_ids(data_directory)
label_capture_ids = None
detected_boxes_dict = dict(
process_export.detected_boxes(data_directory, detection_type,
detection_capture_ids))
detected_parent_boxes_dict = dict(
process_export.detected_boxes(data_directory, parent_type,
detection_capture_ids))
if 1:
if db_filename[-3:] == "txt":
labeled_boxes_dict = boxes_from_txt(db_filename, label_type,
label_capture_ids)
else:
labeled_boxes_dict = db_export.boxes_from_db(
db_filename, label_type, x_stride, y_offset, label_capture_ids)
# a development option to read clear_lables and all_labels
if 0:
labeled_boxes_dict = db_export.boxes_from_db(db_filename, 'all_plates',
x_stride, y_offset,
label_capture_ids)
labeled_boxes_dict
tmpdict = db_export.boxes_from_db(db_filename, 'clear_plates',
x_stride, y_offset,
label_capture_ids)
for key in tmpdict:
if key in labeled_boxes_dict:
labeled_boxes_dict[key] += tmpdict[key]
else:
labeled_boxes_dict[key] = tmpdict[key]
if capture_ids is None:
reduce_to_intersection(detected_boxes_dict, labeled_boxes_dict)
return detected_boxes_dict, detected_parent_boxes_dict, labeled_boxes_dict
def get_boxes_simplified(db_filename, data_directory, capture_ids,
label_type, detection_type, parent_type,
x_stride=db_export.x_stride_dft,
y_offset=db_export.y_offset_dft, scale=1):
# Added "scale" as input parameter
'''
Simple work flow for finding all the detected and labeled boxes
given a data directory and database file.
'''
'''
Modified codes for loading "detected_boxes_dic", "labeled_boxes_dic" on 6/30 by tchen.
'''
if detection_type is None:
detection_type = label_type
if capture_ids is not None:
detection_capture_ids = capture_ids
label_capture_ids = capture_ids
else:
detection_capture_ids = process_export.find_capture_ids(
data_directory)
label_capture_ids = None
# Added load_detected_boxes function by tchen on 6/30
driveid = db_filename[-20:-4]
detected_boxes_dict = load_detected_boxes(driveid, data_directory, scale)
# detected_boxes_dict = dict(load_detected_boxes(driveid, data_directory))
detected_parent_boxes_dict = detected_boxes_dict
detected_boxes_dict = dict(process_export.detected_boxes(
data_directory, detection_type,
detection_capture_ids))
'''
detected_parent_boxes_dict = dict(process_export.detected_boxes(
data_directory, parent_type,
detection_capture_ids))
'''
if 1:
if db_filename[-3:] == "txt":
labeled_boxes_dict = boxes_from_txt(
db_filename, label_type, label_capture_ids)
else:
labeled_boxes_dict = db_export.boxes_from_db(
db_filename, label_type,
x_stride, y_offset,
label_capture_ids)
# a development option to read clear_lables and all_labels
if 0:
labeled_boxes_dict = db_export.boxes_from_db(
db_filename, 'all_plates',
x_stride, y_offset,
label_capture_ids)
labeled_boxes_dict
tmpdict = db_export.boxes_from_db(
db_filename, 'clear_plates',
x_stride, y_offset,
label_capture_ids)
for key in tmpdict:
if key in labeled_boxes_dict:
labeled_boxes_dict[key] += tmpdict[key]
else:
labeled_boxes_dict[key] = tmpdict[key]
'''
if capture_ids is None:
reduce_to_intersection(detected_exiboxes_dict,
lasbeled_boxes_dict)
'''
return detected_boxes_dict,detected_parent_boxes_dict, labeled_boxes_dict
def get_boxes_simplified(db_filename,
data_directory,
capture_ids,
label_type,
detection_type,
parent_type,
x_stride=db_export.x_stride_dft,
y_offset=db_export.y_offset_dft,
scale=1):
# Added "scale" as input parameter
'''
Simple work flow for finding all the detected and labeled boxes
given a data directory and database file.
'''
'''
Modified codes for loading "detected_boxes_dic", "labeled_boxes_dic" on 6/30 by tchen.
'''
if detection_type is None:
detection_type = label_type
if capture_ids is not None:
detection_capture_ids = capture_ids
label_capture_ids = capture_ids
else:
detection_capture_ids = process_export.find_capture_ids(data_directory)
label_capture_ids = None
# Added load_detected_boxes function by tchen on 6/30
driveid = db_filename[-20:-4]
detected_boxes_dict = load_detected_boxes(driveid, data_directory, scale)
# detected_boxes_dict = dict(load_detected_boxes(driveid, data_directory))
detected_parent_boxes_dict = detected_boxes_dict
detected_boxes_dict = dict(
process_export.detected_boxes(data_directory, detection_type,
detection_capture_ids))
'''
detected_parent_boxes_dict = dict(process_export.detected_boxes(
data_directory, parent_type,
detection_capture_ids))
'''
if 1:
if db_filename[-3:] == "txt":
labeled_boxes_dict = boxes_from_txt(db_filename, label_type,
label_capture_ids)
else:
labeled_boxes_dict = db_export.boxes_from_db(
db_filename, label_type, x_stride, y_offset, label_capture_ids)
# a development option to read clear_lables and all_labels
if 0:
labeled_boxes_dict = db_export.boxes_from_db(db_filename, 'all_plates',
x_stride, y_offset,
label_capture_ids)
labeled_boxes_dict
tmpdict = db_export.boxes_from_db(db_filename, 'clear_plates',
x_stride, y_offset,
label_capture_ids)
for key in tmpdict:
if key in labeled_boxes_dict:
labeled_boxes_dict[key] += tmpdict[key]
else:
labeled_boxes_dict[key] = tmpdict[key]
'''
if capture_ids is None:
reduce_to_intersection(detected_exiboxes_dict,
lasbeled_boxes_dict)
'''
return detected_boxes_dict, detected_parent_boxes_dict, labeled_boxes_dict
def get_boxes_simplified(db_filename, data_directory, capture_ids,
label_type, detection_type, parent_type,
x_stride=db_export.x_stride_dft,
y_offset=db_export.y_offset_dft):
'''
Simple work flow for finding all the detected and labeled boxes
given a data directory and database file.
'''
if detection_type is None:
detection_type = label_type
if capture_ids is not None:
detection_capture_ids = capture_ids
label_capture_ids = capture_ids
else:
detection_capture_ids = process_export.find_capture_ids(
data_directory)
label_capture_ids = None
detected_boxes_dict = dict(process_export.detected_boxes(
data_directory, detection_type,
detection_capture_ids))
detected_parent_boxes_dict = dict(process_export.detected_boxes(
data_directory, parent_type,
detection_capture_ids))
if 1:
if db_filename[-3:] == "txt":
labeled_boxes_dict = boxes_from_txt(
db_filename, label_type, label_capture_ids)
else:
labeled_boxes_dict = db_export.boxes_from_db(
db_filename, label_type,
x_stride, y_offset,
label_capture_ids)
# a development option to read clear_lables and all_labels
if 0:
labeled_boxes_dict = db_export.boxes_from_db(
db_filename, 'all_plates',
x_stride, y_offset,
label_capture_ids)
labeled_boxes_dict
tmpdict = db_export.boxes_from_db(
db_filename, 'clear_plates',
x_stride, y_offset,
label_capture_ids)
for key in tmpdict:
if key in labeled_boxes_dict:
labeled_boxes_dict[key] += tmpdict[key]
else:
labeled_boxes_dict[key] = tmpdict[key]
if capture_ids is None:
reduce_to_intersection(detected_boxes_dict,
labeled_boxes_dict)
return detected_boxes_dict,detected_parent_boxes_dict, labeled_boxes_dict