def validate_data(gtFilePath, submFilePath, evaluationParams):
"""
Method validate_data: validates that all files in the results folder are correct (have the correct name contents).
Validates also that there are no missing files in the folder.
If some error detected, the method raises the error
"""
gt = rrc_evaluation_funcs.load_zip_file(
gtFilePath, evaluationParams['GT_SAMPLE_NAME_2_ID'])
subm = rrc_evaluation_funcs.load_zip_file(
submFilePath, evaluationParams['DET_SAMPLE_NAME_2_ID'], True)
#Validate format of GroundTruth
for k in gt:
rrc_evaluation_funcs.validate_lines_in_file(k, gt[k],
evaluationParams['CRLF'],
evaluationParams['LTRB'],
True)
#Validate format of results
for k in subm:
if (k in gt) == False:
raise Exception("The sample %s not present in GT" % k)
rrc_evaluation_funcs.validate_lines_in_file(
k, subm[k], evaluationParams['CRLF'], evaluationParams['LTRB'],
False, evaluationParams['CONFIDENCES'])
def validate_data(gtFilePath, submFilePath, evaluationParams):
"""
Method validate_data: validates that all files in the results folder are correct (have the correct name contents).
Validates also that there are no missing files in the folder.
If some error detected, the method raises the error
"""
gt = rrc_evaluation_funcs.load_zip_file(
gtFilePath, evaluationParams["GT_SAMPLE_NAME_2_ID"]
)
subm = rrc_evaluation_funcs.load_zip_file(
submFilePath, evaluationParams["DET_SAMPLE_NAME_2_ID"], True
)
if len(subm) != len(gt):
raise Exception(
"The Det file is not valid (invalid number of files in ZIP. Expected:"
+ str(len(gt))
+ " Found:"
+ str(len(subm))
+ ")"
)
# Validate format of GroundTruth
for k in gt:
rrc_evaluation_funcs.validate_lines_in_file(
k, gt[k], evaluationParams["CRLF"], False, True
)
# Validate format of results
for k in subm:
if (k in gt) == False:
raise Exception("The sample %s not present in GT" % k)