Add reviewed EgoHOS/shared-v1.0 files 769-896

94a4005 verified about 2 months ago

7.22 kB

#!/usr/bin/env python3
"""One small runnable end-to-end check; fixtures are synthetic, not real validation."""
import json
import pickle
import subprocess
import sys
import tempfile
from pathlib import Path

import numpy as np
from PIL import Image

from acquire import sha, safe_path
from media import mask, decode
from preprocess import se3
from validate import pt, check_inventory

HERE = Path(__file__).resolve().parent


def command(*args, succeeds=True):
    p = subprocess.run([sys.executable, str(HERE / 'preprocess.py'), *map(str, args)], capture_output=True, text=True)
    if (p.returncode == 0) != succeeds:
        raise AssertionError(p.stdout + p.stderr)
    return p


def provenance(root):
    entries = [{'path': p.relative_to(root).as_posix(), 'sha256': sha(p),
                'source_locator': {'file': 'SYNTHETIC_TEST_FIXTURE', 'member': p.relative_to(root).as_posix()}}
               for p in sorted(root.rglob('*')) if p.is_file() and p.name != 'sources.jsonl']
    (root / 'sources.jsonl').write_text(''.join(json.dumps(r) + '\n' for r in entries))


def save_pickle(path, value):
    path.parent.mkdir(parents=True, exist_ok=True)
    with path.open('wb') as f:
        pickle.dump(value, f)


def main():
    rng = np.random.default_rng(17)
    with tempfile.TemporaryDirectory() as directory:
        temp = Path(directory)
        ego = temp / 'ego'
        for split in ('train', 'val', 'test_indomain', 'test_outdomain'):
            for folder in ('image', 'label'):
                (ego / split / folder).mkdir(parents=True)
            for i in range(2):
                # One JPEG stratum and one PNG stratum exercise copy and both lossless encoders.
                ext = '.jpg' if split != 'val' else '.png'
                Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(ego / split / 'image' / f'{i}{ext}')
                Image.fromarray(np.tile(np.arange(32, dtype=np.uint8) % 9, (24, 1))).save(ego / split / 'label' / f'{i}.png')
        provenance(ego)
        output = temp / 'ego-pilot'
        command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', output, '--chunk', 8)
        report = json.loads((output / 'doc/validation/report.json').read_text())
        assert report['all_frames_checked'] == 8
        check_inventory(output, report['file_hashes'])
        encoded = next((output / 'data').glob('train*/*/annotation/segment/mask.mkv'))
        assert np.array_equal(next(decode(encoded, True)), mask(ego / 'train/label/0.png'))
        assert (next(decode(encoded, True)) == 9).any()
        # Missing human review must block full and upload before any remote call.
        command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', temp / 'badfull', '--phase', 'full', '--pilot', output, '--chunk', 8, succeeds=False)
        command('upload', '--release', output, succeeds=False)
        # A modified release fails its file inventory.
        (output / 'data/unexpected.txt').write_text('modified')
        try:
            check_inventory(output, report['file_hashes'])
        except ValueError:
            pass
        else:
            raise AssertionError('Mutation accepted')

        oak = temp / 'oak'
        seq = 'A00001_0004_0001_0002/2021-01-01-00-00-00'
        image = oak / 'image/stream_release_v2' / seq / 'north_east_color_10.png'
        image.parent.mkdir(parents=True)
        Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(image)
        anno = oak / 'image/anno'
        anno.mkdir()
        info = [[seq, person, 10, 0] for person in (0, 1)]
        (anno / 'seq_all.json').write_text(json.dumps(info))
        for rel, value in [('split_train_val/split0/example_split_train.json', info),
                           ('split_train_val/split0/example_split_val.json', []), ('split/split0/seq_test.json', [])]:
            p = anno / rel
            p.parent.mkdir(parents=True, exist_ok=True)
            p.write_text(json.dumps(value))
        k = np.array([[20, 0, 16], [0, 20, 12], [0, 0, 1]], np.float32)
        xyz = np.column_stack((np.linspace(-.1, .1, 21), np.zeros(21), np.ones(21))).astype(np.float32)
        pose = np.eye(4, dtype=np.float32)
        pose[2, 3] = 1
        for x in info:
            key = '__'.join(map(str, x)).replace('/', '__') + '.pkl'
            for folder, value in [('cam_intr', k), ('hand_j', xyz), ('obj_transf', pose), ('general_info', {'cam_extr': np.eye(4, dtype=np.float32)})]:
                save_pickle(anno / folder / key, value)
        obj = oak / 'image/obj/A00001.obj'
        obj.parent.mkdir()
        obj.write_text('mtllib absent.mtl\nv 0 0 0\nv .2 0 0\nv 0 .2 0\nusemtl default\nf 1 2 3\n')
        (oak / 'acquisition.json').write_text(json.dumps({'command': 'extract', 'dataset': 'OakInk-v1', 'note': 'SYNTHETIC TEST ONLY'}))
        provenance(oak)
        command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-blocked', succeeds=False)
        command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-rgb', '--allow-rgb-only')
        out = temp / 'oak-geo'
        command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', out,
                '--annotations', anno, '--trust-pickle')
        views = list((out / 'data').glob('*/*/metainfo.json'))
        assert len(views) == 2 and any('person0' in str(p) for p in views) and any('person1' in str(p) for p in views)
        for m in views:
            v = m.parent
            points = pt(v / 'annotation/keypoints/xyz.pt')
            assert np.isnan(points[:, 0]).all() and np.array_equal(points[0, 1], xyz)
            uv = pt(v / 'annotation/keypoints/uv.pt')
            assert np.allclose(uv[0, 1, 0], [14, 12])
            text = (v / 'annotation/object/A00001/assets/A00001.obj').read_text()
            assert 'v -0.1 -0.1 0' in text
            assert 'mtllib ' not in text and 'usemtl ' not in text
            metadata = json.loads(m.read_text())
            assert metadata['components']['object_mesh']['provenance']['source_missing_materials'] == ['absent.mtl']
        # Test review records apply only to these temporary synthetic fixtures.
        command('approve', '--release', out, '--reviewer', 'SYNTHETIC_TEST_ONLY')
        command('upload', '--release', out, succeeds=False)  # Reviewed pilot still cannot publish.
        command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-full',
                '--annotations', anno, '--trust-pickle', '--phase', 'full', '--pilot', out)
        for bad in ('../escape', '/absolute', 'a/../../escape'):
            try:
                safe_path(temp, bad)
            except ValueError:
                pass
            else:
                raise AssertionError('Unsafe path accepted')
        bad = np.eye(4)
        bad[0, 0] = 2
        try:
            se3(bad, 'bad')
        except ValueError:
            pass
        else:
            raise AssertionError('Invalid SE3 accepted')
    print('PASS: JPEG copy, FFV1/x264 RGB, labels, provenance, review gates, RGB-only, synthetic OakInk geometry, NaN slots, projection, mesh centering, mutation/path/SE3 rejection')


if __name__ == '__main__':
    main()

	#!/usr/bin/env python3
	"""One small runnable end-to-end check; fixtures are synthetic, not real validation."""
	import json
	import pickle
	import subprocess
	import sys
	import tempfile
	from pathlib import Path

	import numpy as np
	from PIL import Image

	from acquire import sha, safe_path
	from media import mask, decode
	from preprocess import se3
	from validate import pt, check_inventory

	HERE = Path(__file__).resolve().parent


	def command(*args, succeeds=True):
	p = subprocess.run([sys.executable, str(HERE / 'preprocess.py'), *map(str, args)], capture_output=True, text=True)
	if (p.returncode == 0) != succeeds:
	raise AssertionError(p.stdout + p.stderr)
	return p


	def provenance(root):
	entries = [{'path': p.relative_to(root).as_posix(), 'sha256': sha(p),
	'source_locator': {'file': 'SYNTHETIC_TEST_FIXTURE', 'member': p.relative_to(root).as_posix()}}
	for p in sorted(root.rglob('*')) if p.is_file() and p.name != 'sources.jsonl']
	(root / 'sources.jsonl').write_text(''.join(json.dumps(r) + '\n' for r in entries))


	def save_pickle(path, value):
	path.parent.mkdir(parents=True, exist_ok=True)
	with path.open('wb') as f:
	pickle.dump(value, f)


	def main():
	rng = np.random.default_rng(17)
	with tempfile.TemporaryDirectory() as directory:
	temp = Path(directory)
	ego = temp / 'ego'
	for split in ('train', 'val', 'test_indomain', 'test_outdomain'):
	for folder in ('image', 'label'):
	(ego / split / folder).mkdir(parents=True)
	for i in range(2):
	# One JPEG stratum and one PNG stratum exercise copy and both lossless encoders.
	ext = '.jpg' if split != 'val' else '.png'
	Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(ego / split / 'image' / f'{i}{ext}')
	Image.fromarray(np.tile(np.arange(32, dtype=np.uint8) % 9, (24, 1))).save(ego / split / 'label' / f'{i}.png')
	provenance(ego)
	output = temp / 'ego-pilot'
	command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', output, '--chunk', 8)
	report = json.loads((output / 'doc/validation/report.json').read_text())
	assert report['all_frames_checked'] == 8
	check_inventory(output, report['file_hashes'])
	encoded = next((output / 'data').glob('train//annotation/segment/mask.mkv'))
	assert np.array_equal(next(decode(encoded, True)), mask(ego / 'train/label/0.png'))
	assert (next(decode(encoded, True)) == 9).any()
	# Missing human review must block full and upload before any remote call.
	command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', temp / 'badfull', '--phase', 'full', '--pilot', output, '--chunk', 8, succeeds=False)
	command('upload', '--release', output, succeeds=False)
	# A modified release fails its file inventory.
	(output / 'data/unexpected.txt').write_text('modified')
	try:
	check_inventory(output, report['file_hashes'])
	except ValueError:
	pass
	else:
	raise AssertionError('Mutation accepted')

	oak = temp / 'oak'
	seq = 'A00001_0004_0001_0002/2021-01-01-00-00-00'
	image = oak / 'image/stream_release_v2' / seq / 'north_east_color_10.png'
	image.parent.mkdir(parents=True)
	Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(image)
	anno = oak / 'image/anno'
	anno.mkdir()
	info = [[seq, person, 10, 0] for person in (0, 1)]
	(anno / 'seq_all.json').write_text(json.dumps(info))
	for rel, value in [('split_train_val/split0/example_split_train.json', info),
	('split_train_val/split0/example_split_val.json', []), ('split/split0/seq_test.json', [])]:
	p = anno / rel
	p.parent.mkdir(parents=True, exist_ok=True)
	p.write_text(json.dumps(value))
	k = np.array([[20, 0, 16], [0, 20, 12], [0, 0, 1]], np.float32)
	xyz = np.column_stack((np.linspace(-.1, .1, 21), np.zeros(21), np.ones(21))).astype(np.float32)
	pose = np.eye(4, dtype=np.float32)
	pose[2, 3] = 1
	for x in info:
	key = '__'.join(map(str, x)).replace('/', '__') + '.pkl'
	for folder, value in [('cam_intr', k), ('hand_j', xyz), ('obj_transf', pose), ('general_info', {'cam_extr': np.eye(4, dtype=np.float32)})]:
	save_pickle(anno / folder / key, value)
	obj = oak / 'image/obj/A00001.obj'
	obj.parent.mkdir()
	obj.write_text('mtllib absent.mtl\nv 0 0 0\nv .2 0 0\nv 0 .2 0\nusemtl default\nf 1 2 3\n')
	(oak / 'acquisition.json').write_text(json.dumps({'command': 'extract', 'dataset': 'OakInk-v1', 'note': 'SYNTHETIC TEST ONLY'}))
	provenance(oak)
	command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-blocked', succeeds=False)
	command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-rgb', '--allow-rgb-only')
	out = temp / 'oak-geo'
	command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', out,
	'--annotations', anno, '--trust-pickle')
	views = list((out / 'data').glob('//metainfo.json'))
	assert len(views) == 2 and any('person0' in str(p) for p in views) and any('person1' in str(p) for p in views)
	for m in views:
	v = m.parent
	points = pt(v / 'annotation/keypoints/xyz.pt')
	assert np.isnan(points[:, 0]).all() and np.array_equal(points[0, 1], xyz)
	uv = pt(v / 'annotation/keypoints/uv.pt')
	assert np.allclose(uv[0, 1, 0], [14, 12])
	text = (v / 'annotation/object/A00001/assets/A00001.obj').read_text()
	assert 'v -0.1 -0.1 0' in text
	assert 'mtllib ' not in text and 'usemtl ' not in text
	metadata = json.loads(m.read_text())
	assert metadata['components']['object_mesh']['provenance']['source_missing_materials'] == ['absent.mtl']
	# Test review records apply only to these temporary synthetic fixtures.
	command('approve', '--release', out, '--reviewer', 'SYNTHETIC_TEST_ONLY')
	command('upload', '--release', out, succeeds=False) # Reviewed pilot still cannot publish.
	command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-full',
	'--annotations', anno, '--trust-pickle', '--phase', 'full', '--pilot', out)
	for bad in ('../escape', '/absolute', 'a/../../escape'):
	try:
	safe_path(temp, bad)
	except ValueError:
	pass
	else:
	raise AssertionError('Unsafe path accepted')
	bad = np.eye(4)
	bad[0, 0] = 2
	try:
	se3(bad, 'bad')
	except ValueError:
	pass
	else:
	raise AssertionError('Invalid SE3 accepted')
	print('PASS: JPEG copy, FFV1/x264 RGB, labels, provenance, review gates, RGB-only, synthetic OakInk geometry, NaN slots, projection, mesh centering, mutation/path/SE3 rejection')


	if __name__ == '__main__':
	main()