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validate_batch_results.py
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validate_batch_results.py
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"""
validate_batch_results.py
Given a .json file containing MD results, validate that it's compliant with the format spec:
https://lila.science/megadetector-output-format
"""
#%% Constants and imports
import os
import sys
import json
import argparse
from megadetector.detection.video_utils import is_video_file
from megadetector.utils.ct_utils import args_to_object
typical_info_fields = ['detector','detection_completion_time',
'classifier','classification_completion_time',
'detection_metadata','classifier_metadata']
required_keys = ['info','images','detection_categories']
typical_keys = ['classification_categories']
#%% Classes
class ValidateBatchResultsOptions:
"""
Options controlling the behavior of validate_bach_results()
"""
def __init__(self):
#: Should we verify that images exist? If this is True, and the .json
#: file contains relative paths, relative_path_base needs to be specified.
self.check_image_existence = False
#: If check_image_existence is True, where do the images live?
#:
#: If None, assumes absolute paths.
self.relative_path_base = None
# ...class ValidateBatchResultsOptions
#%% Main function
def validate_batch_results(json_filename,options=None):
"""
Verify that [json_filename] is a valid MD output file. Currently errors on invalid files.
Args:
json_filename (str): the filename to validate
options (ValidateBatchResultsOptions, optionsl): all the parameters used to control this
process, see ValidateBatchResultsOptions for details
Returns:
bool: reserved; currently always errors or returns True.
"""
if options is None:
options = ValidateBatchResultsOptions()
with open(json_filename,'r') as f:
d = json.load(f)
## Info validation
assert 'info' in d
info = d['info']
assert isinstance(info,dict)
assert 'format_version' in info
format_version = float(info['format_version'])
assert format_version >= 1.3, 'This validator can only be used with format version 1.3 or later'
print('Validating a .json results file with format version {}'.format(format_version))
## Category validation
assert 'detection_categories' in d
for k in d['detection_categories'].keys():
# Categories should be string-formatted ints
assert isinstance(k,str)
_ = int(k)
assert isinstance(d['detection_categories'][k],str)
if 'classification_categories' in d:
for k in d['classification_categories'].keys():
# Categories should be string-formatted ints
assert isinstance(k,str)
_ = int(k)
assert isinstance(d['classification_categories'][k],str)
## Image validation
assert 'images' in d
assert isinstance(d['images'],list)
# im = d['images'][0]
for im in d['images']:
assert isinstance(im,dict)
assert 'file' in im
file = im['file']
if options.check_image_existence:
if options.relative_path_base is None:
file_abs = file
else:
file_abs = os.path.join(options.relative_path_base,file)
assert os.path.isfile(file_abs), 'Cannot find file {}'.format(file_abs)
if 'detections' not in im or im['detections'] is None:
assert 'failure' in im and isinstance(im['failure'],str)
else:
assert isinstance(im['detections'],list)
if is_video_file(im['file']) and (format_version >= 1.4):
assert 'frame_rate' in im
if 'detections' in im and im['detections'] is not None:
for det in im['detections']:
assert 'frame_number' in det
# ...for each image
## Checking on other keys
for k in d.keys():
if k not in typical_keys and k not in required_keys:
print('Warning: non-standard key {} present at file level'.format(k))
# ...def validate_batch_results(...)
#%% Interactive driver(s)
if False:
#%%
options = ValidateBatchResultsOptions()
# json_filename = r'g:\temp\format.json'
# json_filename = r'g:\temp\test-videos\video_results.json'
json_filename = r'g:\temp\test-videos\image_results.json'
options.check_image_existence = True
options.relative_path_base = r'g:\temp\test-videos'
validate_batch_results(json_filename,options)
#%% Command-line driver
def main():
options = ValidateBatchResultsOptions()
parser = argparse.ArgumentParser()
parser.add_argument(
'json_filename',
help='path to .json file containing MegaDetector results')
parser.add_argument(
'--check_image_existence', action='store_true',
help='check that all images referred to in the results file exist')
parser.add_argument(
'--relative_path_base', default=None,
help='if --check_image_existence is specified and paths are relative, use this as the base folder')
if len(sys.argv[1:]) == 0:
parser.print_help()
parser.exit()
args = parser.parse_args()
args_to_object(args, options)
validate_batch_results(args.json_filename,options)
if __name__ == '__main__':
main()