def load_gztest(ibs):
r"""
CommandLine:
python -m ibeis.algo.hots.special_query --test-load_gztest
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.algo.hots.devcases import * # NOQA
>>> import ibeis
>>> ibs = ibeis.opendb('GZ_ALL')
"""
from os.path import join
from ibeis.algo.hots import match_chips4 as mc4
dir_ = ut.get_module_dir(mc4)
eval_text = ut.read_from(join(dir_, 'GZ_TESTTUP.txt'))
testcases = eval(eval_text)
count_dict = ut.count_dict_vals(testcases)
print(ut.dict_str(count_dict))
testtup_list = ut.flatten(ut.dict_take_list(testcases, ['vsone_wins',
'vsmany_outperformed',
'vsmany_dominates',
'vsmany_wins']))
qaid_list = [testtup.qaid_t for testtup in testtup_list]
visual_uuids = ibs.get_annot_visual_uuids(qaid_list)
visual_uuids
def write_script_lines(line_list, fname):
exename = 'python'
regen_cmd = (exename + ' ' + ' '.join(sys.argv)).replace(
expanduser('~'), '~')
script_lines = []
script_lines.append('#!/bin/sh')
script_lines.append("echo << 'EOF' > /dev/null")
script_lines.append('RegenCommand:')
script_lines.append(' ' + regen_cmd)
script_lines.append('CommandLine:')
script_lines.append(' sh ' + fname)
script_lines.append('dont forget to tmuxnew')
script_lines.append('EOF')
script_lines.extend(line_list)
script = '\n'.join(script_lines)
logger.info(script)
import wbia
from os.path import dirname, join
dpath = dirname(ut.get_module_dir(wbia))
fpath = join(dpath, fname)
if not ut.get_argflag('--dryrun'):
ut.writeto(fpath, script)
ut.chmod_add_executable(fpath)
return fname, script, line_list
def dev_autogen_explicit_injects():
r"""
CommandLine:
python -m ibeis --tf dev_autogen_explicit_injects
Example:
>>> # SCRIPT
>>> from ibeis.control.controller_inject import * # NOQA
>>> dev_autogen_explicit_injects()
"""
import ibeis # NOQA
classname = CONTROLLER_CLASSNAME
regen_command = (
'python -m ibeis.control.controller_inject '
'--exec-dev_autogen_explicit_injects')
import ibeis.control.IBEISControl
conditional_imports = [
modname for modname in ibeis.control.IBEISControl.AUTOLOAD_PLUGIN_MODNAMES
if isinstance(modname, tuple)
]
source_block = ut.autogen_explicit_injectable_metaclass(
classname, regen_command, conditional_imports)
dpath = ut.get_module_dir(ibeis.control.IBEISControl)
fpath = ut.unixjoin(dpath, '_autogen_explicit_controller.py')
ut.writeto(fpath, source_block)
def load_gztest(ibs):
r"""
CommandLine:
python -m ibeis.algo.hots.special_query --test-load_gztest
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.algo.hots.devcases import * # NOQA
>>> import ibeis
>>> ibs = ibeis.opendb('GZ_ALL')
"""
from os.path import join
from ibeis.algo.hots import match_chips4 as mc4
dir_ = ut.get_module_dir(mc4)
eval_text = ut.read_from(join(dir_, 'GZ_TESTTUP.txt'))
testcases = eval(eval_text)
count_dict = ut.count_dict_vals(testcases)
print(ut.dict_str(count_dict))
testtup_list = ut.flatten(
ut.dict_take_list(testcases, [
'vsone_wins', 'vsmany_outperformed', 'vsmany_dominates',
'vsmany_wins'
]))
qaid_list = [testtup.qaid_t for testtup in testtup_list]
visual_uuids = ibs.get_annot_visual_uuids(qaid_list)
visual_uuids
def testdata_expts(defaultdb='testdb1',
default_acfgstr_name_list=['default:qindex=0:10:4,dindex=0:20'],
default_test_cfg_name_list=['default'],
a=None,
t=None,
qaid_override=None,
daid_override=None,
initial_aids=None,
):
"""
Use this if you want data from an experiment.
Command line interface to quickly get testdata for test_results.
Command line flags can be used to specify db, aidcfg, pipecfg, qaid
override, daid override (and maybe initial aids).
"""
print('[main_helpers] testdata_expts')
import ibeis
from ibeis.expt import experiment_harness
from ibeis.expt import test_result
if a is not None:
default_acfgstr_name_list = a
if t is not None:
default_test_cfg_name_list = t
if isinstance(default_acfgstr_name_list, six.string_types):
default_acfgstr_name_list = [default_acfgstr_name_list]
if isinstance(default_test_cfg_name_list, six.string_types):
default_test_cfg_name_list = [default_test_cfg_name_list]
#from ibeis.expt import experiment_helpers
ibs = ibeis.opendb(defaultdb=defaultdb)
acfg_name_list = ut.get_argval(('--aidcfg', '--acfg', '-a'), type_=list,
default=default_acfgstr_name_list)
test_cfg_name_list = ut.get_argval(('-t', '-p'), type_=list, default=default_test_cfg_name_list)
daid_override = ut.get_argval(('--daid-override', '--daids-override'), type_=list, default=daid_override)
qaid_override = ut.get_argval(('--qaid', '--qaids-override', '--qaid-override'), type_=list, default=qaid_override)
# Hack a cache here
use_bigtest_cache3 = not ut.get_argflag(('--nocache', '--nocache-hs'))
use_bigtest_cache3 &= ut.is_developer()
use_bigtest_cache3 &= False
if use_bigtest_cache3:
from os.path import dirname, join
cache_dir = ut.ensuredir(join(dirname(ut.get_module_dir(ibeis)), 'BIG_TESTLIST_CACHE3'))
load_testres = ut.cached_func('testreslist', cache_dir=cache_dir)(experiment_harness.run_test_configurations2)
else:
load_testres = experiment_harness.run_test_configurations2
testres_list = load_testres(
ibs, acfg_name_list, test_cfg_name_list, qaid_override=qaid_override,
daid_override=daid_override, initial_aids=initial_aids)
testres = test_result.combine_testres_list(ibs, testres_list)
print(testres)
return ibs, testres
def convert_tests_from_ibeis_to_nose(module_list):
# PARSE OUT TESTABLE DOCTESTTUPS
#import utool as ut
testtup_list = []
seen_ = set()
topimport_list = []
for module in module_list:
mod_doctest_tup = ut.get_module_doctest_tup(module=module,
verbose=False,
allexamples=True)
enabled_testtup_list, frame_fpath, all_testflags, module = mod_doctest_tup
flags = [tup.src not in seen_ for tup in enabled_testtup_list]
enabled_testtup_list = ut.compress(enabled_testtup_list, flags)
testtup_list.extend(enabled_testtup_list)
if len(enabled_testtup_list) > 0:
topimport_list.append('from %s import * # NOQA' % (module.__name__,))
print('Found %d test tups' % (len(testtup_list)))
autogen_test_src_funcs = []
#import redbaron
for testtup in testtup_list:
name = testtup.name
num = testtup.num
src = testtup.src
want = testtup.want
import re
src = re.sub('# ENABLE_DOCTEST\n', '', src)
src = re.sub('from [^*]* import \* *# NOQA\n', '', src)
src = re.sub(r'from [^*]* import \*\n', '', src)
src = ut.str_between(src, None, 'ut.quit_if_noshow').rstrip('\n')
src = ut.str_between(src, None, 'ut.show_if_requested').rstrip('\n')
# import utool
# utool.embed()
"""
"""
#flag = testtup.flag
if want.endswith('\n'):
want = want[:-1]
if want:
#src_node = redbaron.RedBaron(src)
#if len(src_node.find_all('name', 'result')) > 0:
# src_node.append('assert result == %r' % (want,))
if '\nresult = ' in src:
src += '\nassert str(result) == %r' % (want,)
func_src = 'def test_%s_%d():\n' % (name.replace('.', '_'), num,) + ut.indent(src)
autogen_test_src_funcs.append(func_src)
autogen_test_src = '\n'.join(topimport_list) + '\n\n\n' + '\n\n\n'.join(autogen_test_src_funcs) + '\n'
from ibeis import tests
from os.path import join
moddir = ut.get_module_dir(tests)
ut.writeto(join(moddir, 'test_autogen_nose_tests.py'), autogen_test_src)
def testdata_depc3():
"""
Example of local registration
sudo pip install freetype-py
CommandLine:
python -m dtool.example_depcache2 testdata_depc3 --show
Example:
>>> # DISABLE_DOCTEST
>>> from dtool.example_depcache2 import * # NOQA
>>> depc = testdata_depc3()
>>> ut.quit_if_noshow()
>>> import plottool as pt
>>> depc.show_graph()
>>> depc['smk_match'].show_input_graph()
>>> depc['vsone'].show_input_graph()
>>> depc['vocab'].show_input_graph()
>>> depc['neighbs'].show_input_graph()
>>> depc['viewpoint_classification'].show_input_graph()
>>> print(depc['smk_match'].compute_order)
>>> ut.show_if_requested()
"""
import dtool
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE2')
root = 'annot'
depc = dtool.DependencyCache(
root_tablename=root, cache_dpath=cache_dpath, use_globals=False)
# ----------
dummy_cols = dict(colnames=['data'], coltypes=[np.ndarray])
def dummy_func(depc, *args, **kwargs):
return None
depc.register_preproc(tablename='indexer', parents=['annot*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='neighbs', parents=['annot', 'indexer'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='vocab', parents=['annot*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='smk_vec', parents=['annot', 'vocab'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='inv_index', parents=['smk_vec*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='smk_match', parents=['smk_vec', 'inv_index'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='vsone', parents=['annot', 'annot'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='viewpoint_classifier', parents=['annot*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='viewpoint_classification', parents=['annot', 'viewpoint_classifier'], **dummy_cols)(dummy_func)
depc.initialize()
return depc
def convert_tests_from_utool_to_nose(module_list):
# PARSE OUT TESTABLE DOCTESTTUPS
#import utool as ut
testtup_list = []
seen_ = set()
topimport_list = []
for module in module_list:
mod_doctest_tup = ut.get_module_doctest_tup(module=module,
verbose=False,
allexamples=True)
enabled_testtup_list, frame_fpath, all_testflags, module = mod_doctest_tup
flags = [tup.src not in seen_ for tup in enabled_testtup_list]
enabled_testtup_list = ut.compress(enabled_testtup_list, flags)
testtup_list.extend(enabled_testtup_list)
if len(enabled_testtup_list) > 0:
topimport_list.append('from %s import * # NOQA' % (module.__name__,))
print('Found %d test tups' % (len(testtup_list)))
autogen_test_src_funcs = []
#import redbaron
for testtup in testtup_list:
name = testtup.name
num = testtup.num
src = testtup.src
want = testtup.want
import re
src = re.sub('# ENABLE_DOCTEST\n', '', src)
src = re.sub('from [^*]* import \* *# NOQA\n', '', src)
src = re.sub('from [^*]* import \*\n', '', src)
#flag = testtup.flag
if want.endswith('\n'):
want = want[:-1]
if want:
#src_node = redbaron.RedBaron(src)
#if len(src_node.find_all('name', 'result')) > 0:
# src_node.append('assert result == %r' % (want,))
if '\nresult = ' in src:
src += '\nassert str(result) == %r' % (want,)
func_src = 'def test_%s_%d():\n' % (name.replace('.', '_'), num,) + ut.indent(src)
autogen_test_src_funcs.append(func_src)
autogen_test_src = '\n'.join(topimport_list) + '\n\n\n' + '\n\n\n'.join(autogen_test_src_funcs) + '\n'
from utool import tests
from os.path import join
moddir = ut.get_module_dir(tests)
ut.writeto(join(moddir, 'test_autogen_nose_tests.py'), autogen_test_src)
def get_big_test_cache_info(ibs, cfgx2_qreq_):
"""
Args:
ibs (ibeis.IBEISController):
cfgx2_qreq_ (dict):
"""
if ut.is_developer():
import ibeis
repodir = dirname(ut.get_module_dir(ibeis))
bt_cachedir = join(repodir, 'BIG_TEST_CACHE2')
else:
bt_cachedir = join(ibs.get_cachedir(), 'BIG_TEST_CACHE2')
#bt_cachedir = './localdata/BIG_TEST_CACHE2'
ut.ensuredir(bt_cachedir)
bt_cachestr = ut.hashstr_arr27(
[qreq_.get_cfgstr(with_input=True) for qreq_ in cfgx2_qreq_],
ibs.get_dbname() + '_cfgs')
bt_cachename = 'BIGTESTCACHE2'
return bt_cachedir, bt_cachename, bt_cachestr
def get_big_test_cache_info(ibs, cfgx2_qreq_):
"""
Args:
ibs (ibeis.IBEISController):
cfgx2_qreq_ (dict):
"""
if ut.is_developer():
import ibeis
repodir = dirname(ut.get_module_dir(ibeis))
bt_cachedir = join(repodir, 'BIG_TEST_CACHE2')
else:
bt_cachedir = join(ibs.get_cachedir(), 'BIG_TEST_CACHE2')
#bt_cachedir = './localdata/BIG_TEST_CACHE2'
ut.ensuredir(bt_cachedir)
bt_cachestr = ut.hashstr_arr27([
qreq_.get_cfgstr(with_input=True)
for qreq_ in cfgx2_qreq_],
ibs.get_dbname() + '_cfgs')
bt_cachename = 'BIGTESTCACHE2'
return bt_cachedir, bt_cachename, bt_cachestr
def testdata_depc_image():
"""
Example of local registration
sudo pip install freetype-py
CommandLine:
python -m dtool.example_depcache2 testdata_depc_image --show
Example:
>>> # DISABLE_DOCTEST
>>> from dtool.example_depcache2 import * # NOQA
>>> depc = testdata_depc_image()
>>> ut.quit_if_noshow()
>>> import plottool as pt
>>> depc.show_graph()
>>> depc['detection'].show_input_graph()
>>> print(depc['detection'].compute_order)
>>> ut.show_if_requested()
"""
import dtool
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE2')
root = 'image'
depc = dtool.DependencyCache(
root_tablename=root, cache_dpath=cache_dpath, use_globals=False)
# ----------
dummy_cols = dict(colnames=['data'], coltypes=[np.ndarray])
def dummy_func(depc, *args, **kwargs):
for row_arg in zip(*args):
yield (np.array([42]),)
depc.register_preproc(tablename='detector', parents=['image*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='detection', parents=['image', 'detector'], **dummy_cols)(dummy_func)
depc.initialize()
return depc
def testdata_custom_annot_depc(dummy_dependencies, in_memory=True):
import dtool
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE5')
# FIXME: this only puts the sql files in memory
default_fname = ':memory:' if in_memory else None
root = 'annot'
depc = dtool.DependencyCache(root_tablename=root,
get_root_uuid=ut.identity,
default_fname=default_fname,
cache_dpath=cache_dpath,
use_globals=False)
# ----------
register_dummy_config = depc_34_helper(depc)
for dummy in dummy_dependencies:
register_dummy_config(**dummy)
depc.initialize()
return depc
def write_script_lines(line_list, fname):
exename = 'python'
regen_cmd = (exename + ' ' + ' '.join(sys.argv)).replace(expanduser('~'), '~')
script_lines = []
script_lines.append('#!/bin/sh')
script_lines.append('echo << \'EOF\' > /dev/null')
script_lines.append('RegenCommand:')
script_lines.append(' ' + regen_cmd)
script_lines.append('CommandLine:')
script_lines.append(' sh ' + fname)
script_lines.append('dont forget to tmuxnew')
script_lines.append('EOF')
script_lines.extend(line_list)
script = '\n'.join(script_lines)
print(script)
import ibeis
from os.path import dirname, join
dpath = dirname(ut.get_module_dir(ibeis))
fpath = join(dpath, fname)
if not ut.get_argflag('--dryrun'):
ut.writeto(fpath, script)
ut.chmod_add_executable(fpath)
return fname, script, line_list
def testdata_depc2():
"""
Example of local registration
sudo pip install freetype-py
CommandLine:
python -m dtool.example_depcache2 testdata_depc2 --show
Example:
>>> # DISABLE_DOCTEST
>>> from dtool.example_depcache2 import * # NOQA
>>> depc = testdata_depc2()
>>> ut.quit_if_noshow()
>>> import plottool as pt
>>> depc.show_graph()
>>> ut.show_if_requested()
"""
import dtool
import vtool as vt
from vtool import fontdemo
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE2')
root = 'annot'
depc = dtool.DependencyCache(
root_tablename=root, cache_dpath=cache_dpath, use_globals=False)
# ----------
class ChipConfig(dtool.Config):
_param_info_list = [
ut.ParamInfo('dim_size', 500),
ut.ParamInfo('ext', '.png'),
]
@depc.register_preproc(
tablename='chip', parents=[root], colnames=['size', 'img'],
coltypes=[(int, int), ('extern', vt.imread, vt.imwrite)],
configclass=ChipConfig)
def compute_chip(depc, aids, config=None):
for aid in aids:
chip = fontdemo.get_text_test_img(str(aid))
size = vt.get_size(chip)
yield size, chip
# ----------
class TipConfig(dtool.Config):
_param_info_list = [
ut.ParamInfo('manual_extract', False, hideif=False),
]
@depc.register_preproc(
tablename='tip', parents=['chip'],
colnames=['notch', 'left', 'right'],
coltypes=[np.ndarray, np.ndarray, np.ndarray],
configclass=TipConfig,
)
def compute_tips(depc, chip_rowids, config=None):
manual_extract = config['manual_extract']
chips = depc.get_native('chip', chip_rowids, 'img')
for chip in chips:
seed = (chip).sum()
perb = ((seed % 1000) / 1000) * .25
w, h = vt.get_size(chip)
if manual_extract:
# Make noticable difference between config outputs
lpb = np.ceil(w * perb)
npb = np.ceil(h * perb)
rpb = -np.ceil(w * perb)
else:
lpb = np.ceil(w * perb / 2)
npb = -np.ceil(h * perb)
rpb = -np.ceil(w * perb)
wh = np.array([w, h], dtype=np.int32)[None, :]
rel_base = np.array([[.0, .5], [.5, .5], [1., .5]])
offset = np.array([[lpb, 0], [0, npb], [rpb, 0]])
tip = np.round((wh * rel_base)) + offset
left, notch, right = tip
yield left, notch, right
# ----------
class CropChipConfig(dtool.Config):
_param_info_list = [
ut.ParamInfo('dim_size', 500),
]
@depc.register_preproc(
tablename='cropchip', parents=['chip', 'tip'],
colnames=['img'],
coltypes=[np.ndarray],
configclass=CropChipConfig,
)
def compute_cropchip(depc, cids, tids, config=None):
print("COMPUTE CROPCHIP")
print('config = %r' % (config,))
chips = depc.get_native('chip', cids, 'img')
tips = depc.get_native('tip', tids)
print('tips = %r' % (tips,))
for chip, tip in zip(chips, tips):
notch, left, right = tip
lx = left[0]
rx = right[0]
cropped_chip = chip[lx:(rx - 1), ...]
yield (cropped_chip,)
# ----------
class TrailingEdgeConfig(dtool.Config):
_param_info_list = []
@depc.register_preproc(
tablename='trailingedge', parents=['cropchip'],
colnames=['te'],
coltypes=[np.ndarray],
configclass=TrailingEdgeConfig,
)
def compute_trailing_edge(depc, cropped_chips, config=None):
for cc in cropped_chips:
#depc.get_native('chip', cids)
size = 1
te = np.arange(size)
yield (te,)
depc.initialize()
return depc
def testdata_depc(fname=None):
"""
Example of local registration
"""
import dtool
import vtool as vt
gpath_list = ut.lmap(ut.grab_test_imgpath,
ut.get_valid_test_imgkeys(),
verbose=False)
dummy_root = 'dummy_annot'
def get_root_uuid(aid_list):
return ut.lmap(ut.hashable_to_uuid, aid_list)
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE')
depc = dtool.DependencyCache(
root_tablename=dummy_root,
default_fname=fname,
cache_dpath=cache_dpath,
get_root_uuid=get_root_uuid,
#root_asobject=root_asobject,
use_globals=False)
@depc.register_preproc(tablename='chip',
parents=[dummy_root],
colnames=['size', 'chip'],
coltypes=[(int, int),
('extern', vt.imread, vt.imwrite)],
configclass=DummyChipConfig)
def dummy_preproc_chip(depc, annot_rowid_list, config=None):
"""
TODO: Infer properties from docstr?
Args:
depc (dtool.DependencyCache):
annot_rowid_list (list): list of annot rowids
config (dict): config dictionary
Returns:
tuple : ((int, int), ('extern', vt.imread))
"""
if config is None:
config = {}
# Demonstates using asobject to get input to function as a dictionary
# of properties
#for annot in annot_list:
#print('[preproc] Computing chips of aid=%r' % (aid,))
print('[preproc] Computing chips')
for aid in annot_rowid_list:
#aid = annot['aid']
#chip_fpath = annot['gpath']
chip_fpath = gpath_list[aid]
#w, h = vt.image.open_image_size(chip_fpath)
chip = vt.imread(chip_fpath)
size = vt.get_size(chip)
#size = (w, h)
print('Dummpy preproc chip yeilds')
print('* chip_fpath = %r' % (chip_fpath, ))
print('* size = %r' % (size, ))
#yield size, chip_fpath
yield size, chip
@depc.register_preproc(
'probchip',
[dummy_root],
['size', 'probchip'],
coltypes=[(int, int), ('extern', vt.imread, vt.imwrite, '.png')],
configclass=ProbchipConfig,
)
def dummy_preproc_probchip(depc, root_rowids, config):
print('[preproc] Computing probchip')
for rowid in root_rowids:
if config['testerror']:
if rowid % 2 == 0:
# Test error yeilds None on even rowids
yield None
continue
rng = np.random.RandomState(rowid)
probchip = rng.randint(0, 255, size=(64, 64))
#probchip = np.zeros((64, 64))
size = (rowid, rowid)
yield size, probchip
@depc.register_preproc(
'keypoint',
['chip'],
['kpts', 'num'],
[np.ndarray, int],
#default_onthefly=True,
configclass=DummyKptsConfig,
docstr='Used to store individual chip features (ellipses)',
)
def dummy_preproc_kpts(depc, chip_rowids, config=None):
if config is None:
config = {}
print('config = %r' % (config, ))
adapt_shape = config['adapt_shape']
print('[preproc] Computing kpts')
ut.assert_all_not_None(chip_rowids, 'chip_rowids')
# This is in here to attempt to trigger a failure of the chips dont
# exist and the feature cache is called.
chip_fpath_list = depc.get_native('chip',
chip_rowids,
'chip',
read_extern=False)
print('computing featurse from chip_fpath_list = %r' %
(chip_fpath_list, ))
for rowid in chip_rowids:
if adapt_shape:
kpts = np.zeros((7 + rowid, 6)) + rowid
else:
kpts = np.ones((7 + rowid, 6)) + rowid
num = len(kpts)
yield kpts, num
@depc.register_preproc(
'descriptor',
['keypoint'],
['vecs'],
[np.ndarray],
)
def dummy_preproc_vecs(depc, kp_rowid, config=None):
if config is None:
config = {}
print('[preproc] Computing vecs')
for rowid in kp_rowid:
yield np.ones((7 + rowid, 8), dtype=np.uint8) + rowid,
@depc.register_preproc(
'fgweight',
['keypoint', 'probchip'],
['fgweight'],
[np.ndarray],
)
def dummy_preproc_fgweight(depc, kpts_rowid, probchip_rowid, config=None):
if config is None:
config = {}
print('[preproc] Computing fgweight')
for rowid1, rowid2 in zip(kpts_rowid, probchip_rowid):
yield np.ones(7 + rowid1),
@depc.register_preproc(tablename='vsmany',
colnames='annotmatch',
coltypes=DummyAnnotMatch,
requestclass=DummyVsManyRequest,
configclass=DummyVsManyConfig)
def vsmany_matching(depc, qaids, config=None):
"""
CommandLine:
python -m dtool.base --exec-VsManySimilarityRequest
"""
print('RUNNING DUMMY VSMANY ALGO')
daids = config.daids
qaids = qaids
sver_on = config.dummy_sver_cfg['sver_on']
kpts_list = depc.get_property('keypoint', list(qaids)) # NOQA
#dummy_preproc_kpts
for qaid in qaids:
dnid_list = [1, 1, 2, 2]
unique_nids = [1, 2]
if sver_on:
annot_score_list = [.2, .2, .4, .5]
name_score_list = [.2, .5]
else:
annot_score_list = [.3, .3, .6, .9]
name_score_list = [.1, .7]
annot_match = DummyAnnotMatch(qaid, daids, dnid_list,
annot_score_list, unique_nids,
name_score_list)
yield annot_match
SIMPLE = 0
if not SIMPLE:
@depc.register_preproc(tablename='chipmask',
parents=[dummy_root],
colnames=['size', 'mask'],
coltypes=[(int, int),
('extern', vt.imread, vt.imwrite)])
def dummy_manual_chipmask(depc, parent_rowids, config=None):
import vtool as vt
from plottool import interact_impaint
mask_dpath = join(depc.cache_dpath, 'ManualChipMask')
ut.ensuredir(mask_dpath)
if config is None:
config = {}
print('Requesting user defined chip mask')
for rowid in parent_rowids:
img = vt.imread(gpath_list[rowid])
mask = interact_impaint.impaint_mask2(img)
mask_fpath = join(mask_dpath, 'mask%d.png' % (rowid, ))
vt.imwrite(mask_fpath, mask)
w, h = vt.get_size(mask)
yield (w, h), mask_fpath
@depc.register_preproc(
'notch',
[dummy_root],
['notchdata'],
[np.ndarray],
)
def dummy_preproc_notch(depc, parent_rowids, config=None):
if config is None:
config = {}
print('[preproc] Computing notch')
for rowid in parent_rowids:
yield np.empty(5 + rowid),
@depc.register_preproc(
'spam',
['fgweight', 'chip', 'keypoint'],
['spam', 'eggs', 'size', 'uuid', 'vector', 'textdata'],
[
str, int, (int, int), uuid.UUID, np.ndarray,
('extern', ut.readfrom)
],
docstr='I dont like spam',
)
def dummy_preproc_spam(depc, *args, **kwargs):
config = kwargs.get('config', None)
if config is None:
config = {}
print('[preproc] Computing spam')
ut.writeto('tmp.txt', ut.lorium_ipsum())
for x in zip(*args):
size = (42, 21)
uuid = ut.get_zero_uuid()
vector = np.ones(3)
yield ('spam', 3665, size, uuid, vector, 'tmp.txt')
@depc.register_preproc(
'nnindexer',
['keypoint*'],
['flann'],
[str], # [('extern', ut.load_data)],
configclass=DummyIndexerConfig,
)
def dummy_preproc_indexer(depc, parent_rowids_list, config=None):
print('COMPUTING DUMMY INDEXER')
#assert len(parent_rowids_list) == 1, 'handles only one indexer'
for parent_rowids in parent_rowids_list:
yield ('really cool flann object' + str(config.get_cfgstr()) +
' ' + str(parent_rowids), )
@depc.register_preproc(
'notchpair',
['notch', 'notch'],
['pairscore'],
[int], # [('extern', ut.load_data)],
#configclass=DummyIndexerConfig,
)
def dummy_notchpair(depc, n1, n2, config=None):
print('COMPUTING MULTITEST 1 ')
#assert len(parent_rowids_list) == 1, 'handles only one indexer'
for nn1, nn2 in zip(n1, n2):
yield (nn1 + nn2, )
@depc.register_preproc(
'multitest',
[
'keypoint', 'notch', 'notch', 'fgweight*', 'notchpair*',
'notchpair*', 'notchpair', 'nnindexer'
],
['foo'],
[str], # [('extern', ut.load_data)],
#configclass=DummyIndexerConfig,
)
def dummy_multitest(depc, *args, **kwargs):
print('COMPUTING MULTITEST 1 ')
#assert len(parent_rowids_list) == 1, 'handles only one indexer'
for x in zip(args):
yield ('cool multi object' + str(kwargs) + ' ' + str(x), )
# TEST MULTISET DEPENDENCIES
@depc.register_preproc(
'multitest_score',
['multitest'],
['score'],
[int], # [('extern', ut.load_data)],
#configclass=DummyIndexerConfig,
)
def dummy_multitest_score(depc, parent_rowids, config=None):
print('COMPUTING DEPENDENCY OF MULTITEST 1 ')
#assert len(parent_rowids_list) == 1, 'handles only one indexer'
for parent_rowids in zip(parent_rowids):
yield (parent_rowids, )
# TEST MULTISET DEPENDENCIES
@depc.register_preproc(
'multitest_score_x',
['multitest_score', 'multitest_score'],
['score'],
[int], # [('extern', ut.load_data)],
#configclass=DummyIndexerConfig,
)
def multitest_score_x(depc, *args, **kwargs):
raise NotImplementedError('hack')
# REGISTER MATCHING ALGORITHMS
@depc.register_preproc(
tablename='neighbs',
colnames=['qx2_idx', 'qx2_dist'],
coltypes=[np.ndarray, np.ndarray],
parents=['keypoint', 'fgweight', 'nnindexer', 'nnindexer'])
def neighbs(depc, *args, **kwargs):
"""
CommandLine:
python -m dtool.base --exec-VsManySimilarityRequest
"""
#dummy_preproc_kpts
for qaid in zip(args):
yield np.array([qaid]), np.array([qaid])
@depc.register_preproc(tablename='neighbs_score',
colnames=['qx2_dist'],
coltypes=[np.ndarray],
parents=['neighbs'])
def neighbs_score(depc, *args, **kwargs):
"""
CommandLine:
python -m dtool.base --exec-VsManySimilarityRequest
"""
raise NotImplementedError('hack')
@depc.register_preproc('vsone', [dummy_root, dummy_root],
['score', 'match_obj', 'fm'],
[float, DummyVsOneMatch, np.ndarray],
requestclass=DummyVsOneRequest,
configclass=DummyVsOneConfig,
chunksize=2)
def compute_vsone_matching(depc, qaids, daids, config):
"""
CommandLine:
python -m dtool.base --exec-VsOneSimilarityRequest
"""
print('RUNNING DUMMY VSONE ALGO')
for qaid, daid in zip(qaids, daids):
match = DummyVsOneMatch()
match.qaid = qaid
match.daid = daid
match.fm = np.array([[1, 2], [3, 4]])
score = match.score = qaid + daid
yield (score, match, match.fm)
# table = depc['spam']
# print(ut.repr2(table.get_addtable_kw(), nl=2))
depc.initialize()
# table.print_schemadef()
# print(table.db.get_schema_current_autogeneration_str())
return depc
def testdata_depc(fname=None):
"""
Example of local registration
"""
import dtool
import vtool as vt
gpath_list = ut.lmap(ut.grab_test_imgpath, ut.get_valid_test_imgkeys(),
verbose=False)
dummy_root = 'dummy_annot'
def get_root_uuid(aid_list):
return ut.lmap(ut.hashable_to_uuid, aid_list)
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE')
depc = dtool.DependencyCache(
root_tablename=dummy_root, default_fname=fname,
cache_dpath=cache_dpath,
get_root_uuid=get_root_uuid,
#root_asobject=root_asobject,
use_globals=False)
@depc.register_preproc(tablename='chip', parents=[dummy_root],
colnames=['size', 'chip'],
coltypes=[(int, int), ('extern', vt.imread, vt.imwrite)],
configclass=DummyChipConfig)
def dummy_preproc_chip(depc, annot_rowid_list, config=None):
"""
TODO: Infer properties from docstr?
Args:
depc (dtool.DependencyCache):
annot_rowid_list (list): list of annot rowids
config (dict): config dictionary
Returns:
tuple : ((int, int), ('extern', vt.imread))
"""
if config is None:
config = {}
# Demonstates using asobject to get input to function as a dictionary
# of properties
#for annot in annot_list:
#print('[preproc] Computing chips of aid=%r' % (aid,))
print('[preproc] Computing chips')
for aid in annot_rowid_list:
#aid = annot['aid']
#chip_fpath = annot['gpath']
chip_fpath = gpath_list[aid]
#w, h = vt.image.open_image_size(chip_fpath)
chip = vt.imread(chip_fpath)
size = vt.get_size(chip)
#size = (w, h)
#print('* chip_fpath = %r' % (chip_fpath,))
#print('* size = %r' % (size,))
#yield size, chip_fpath
yield size, chip
@depc.register_preproc(
'probchip', [dummy_root], ['size', 'probchip'],
coltypes=[(int, int), ('extern', vt.imread, vt.imwrite, '.png')],
configclass=ProbchipConfig,
)
def dummy_preproc_probchip(depc, root_rowids, config):
print('[preproc] Computing probchip')
for rowid in root_rowids:
if config['testerror']:
if rowid % 2 == 0:
# Test error yeilds None on even rowids
yield None
continue
rng = np.random.RandomState(rowid)
probchip = rng.randint(0, 255, size=(64, 64))
#probchip = np.zeros((64, 64))
size = (rowid, rowid)
yield size, probchip
@depc.register_preproc(
'keypoint', ['chip'], ['kpts', 'num'], [np.ndarray, int],
#default_onthefly=True,
configclass=DummyKptsConfig,
docstr='Used to store individual chip features (ellipses)',)
def dummy_preproc_kpts(depc, chip_rowids, config=None):
if config is None:
config = {}
print('config = %r' % (config,))
adapt_shape = config['adapt_shape']
print('[preproc] Computing kpts')
for rowid in chip_rowids:
if adapt_shape:
kpts = np.zeros((7 + rowid, 6)) + rowid
else:
kpts = np.ones((7 + rowid, 6)) + rowid
num = len(kpts)
yield kpts, num
@depc.register_preproc('descriptor', ['keypoint'], ['vecs'], [np.ndarray],)
def dummy_preproc_vecs(depc, kp_rowid, config=None):
if config is None:
config = {}
print('[preproc] Computing vecs')
for rowid in kp_rowid:
yield np.ones((7 + rowid, 8), dtype=np.uint8) + rowid,
@depc.register_preproc('fgweight', ['keypoint', 'probchip'], ['fgweight'], [np.ndarray],)
def dummy_preproc_fgweight(depc, kpts_rowid, probchip_rowid, config=None):
if config is None:
config = {}
print('[preproc] Computing fgweight')
for rowid1, rowid2 in zip(kpts_rowid, probchip_rowid):
yield np.ones(7 + rowid1),
@depc.register_preproc(
tablename='vsmany', colnames='annotmatch', coltypes=DummyAnnotMatch,
requestclass=DummyVsManyRequest, configclass=DummyVsManyConfig)
def vsmany_matching(depc, qaids, config=None):
"""
CommandLine:
python -m dtool.base --exec-VsManySimilarityRequest
"""
print('RUNNING DUMMY VSMANY ALGO')
daids = config.daids
qaids = qaids
sver_on = config.dummy_sver_cfg['sver_on']
kpts_list = depc.get_property('keypoint', qaids) # NOQA
#dummy_preproc_kpts
for qaid in qaids:
dnid_list = [1, 1, 2, 2]
unique_nids = [1, 2]
if sver_on:
annot_score_list = [.2, .2, .4, .5]
name_score_list = [.2, .5]
else:
annot_score_list = [.3, .3, .6, .9]
name_score_list = [.1, .7]
annot_match = DummyAnnotMatch(qaid, daids, dnid_list,
annot_score_list, unique_nids,
name_score_list)
yield annot_match
SIMPLE = 0
if not SIMPLE:
@depc.register_preproc(
tablename='chipmask', parents=[dummy_root], colnames=['size', 'mask'],
coltypes=[(int, int), ('extern', vt.imread, vt.imwrite)])
def dummy_manual_chipmask(depc, parent_rowids, config=None):
import vtool as vt
from plottool import interact_impaint
mask_dpath = join(depc.cache_dpath, 'ManualChipMask')
ut.ensuredir(mask_dpath)
if config is None:
config = {}
print('Requesting user defined chip mask')
for rowid in parent_rowids:
img = vt.imread(gpath_list[rowid])
mask = interact_impaint.impaint_mask2(img)
mask_fpath = join(mask_dpath, 'mask%d.png' % (rowid,))
vt.imwrite(mask_fpath, mask)
w, h = vt.get_size(mask)
yield (w, h), mask_fpath
@depc.register_preproc('notch', [dummy_root], ['notchdata'], [np.ndarray],)
def dummy_preproc_notch(depc, parent_rowids, config=None):
if config is None:
config = {}
print('[preproc] Computing notch')
for rowid in parent_rowids:
yield np.empty(5 + rowid),
@depc.register_preproc(
'spam', ['fgweight', 'chip', 'keypoint'],
['spam', 'eggs', 'size', 'uuid', 'vector', 'textdata'],
[str, int, (int, int), uuid.UUID, np.ndarray, ('extern', ut.readfrom)],
docstr='I dont like spam',)
def dummy_preproc_spam(depc, *args, **kwargs):
config = kwargs.get('config', None)
if config is None:
config = {}
print('[preproc] Computing spam')
ut.writeto('tmp.txt', ut.lorium_ipsum())
for x in zip(*args):
size = (42, 21)
uuid = ut.get_zero_uuid()
vector = np.ones(3)
yield ('spam', 3665, size, uuid, vector, 'tmp.txt')
@depc.register_preproc(
'nnindexer', ['keypoint*'], ['flann'], [str], # [('extern', ut.load_data)],
configclass=DummyIndexerConfig,
)
def dummy_preproc_indexer(depc, parent_rowids_list, config=None):
print('COMPUTING DUMMY INDEXER')
#assert len(parent_rowids_list) == 1, 'handles only one indexer'
for parent_rowids in parent_rowids_list:
yield ('really cool flann object' + str(config.get_cfgstr()) + ' ' + str(parent_rowids),)
@depc.register_preproc(
'notchpair', ['notch', 'notch'], ['pairscore'], [int], # [('extern', ut.load_data)],
#configclass=DummyIndexerConfig,
)
def dummy_notchpair(depc, n1, n2, config=None):
print('COMPUTING MULTITEST 1 ')
#assert len(parent_rowids_list) == 1, 'handles only one indexer'
for nn1, nn2 in zip(n1, n2):
yield (nn1 + nn2,)
@depc.register_preproc(
'multitest', ['keypoint', 'notch', 'notch', 'fgweight*', 'notchpair*', 'notchpair*', 'notchpair', 'nnindexer'], ['foo'], [str], # [('extern', ut.load_data)],
#configclass=DummyIndexerConfig,
)
def dummy_multitest(depc, *args, **kwargs):
print('COMPUTING MULTITEST 1 ')
#assert len(parent_rowids_list) == 1, 'handles only one indexer'
for x in zip(args):
yield ('cool multi object' + str(kwargs) + ' ' + str(x),)
# TEST MULTISET DEPENDENCIES
@depc.register_preproc(
'multitest_score', ['multitest'], ['score'], [int], # [('extern', ut.load_data)],
#configclass=DummyIndexerConfig,
)
def dummy_multitest_score(depc, parent_rowids, config=None):
print('COMPUTING DEPENDENCY OF MULTITEST 1 ')
#assert len(parent_rowids_list) == 1, 'handles only one indexer'
for parent_rowids in zip(parent_rowids):
yield (parent_rowids,)
# TEST MULTISET DEPENDENCIES
@depc.register_preproc(
'multitest_score_x', ['multitest_score', 'multitest_score'], ['score'], [int], # [('extern', ut.load_data)],
#configclass=DummyIndexerConfig,
)
def multitest_score_x(depc, *args, **kwargs):
raise NotImplementedError('hack')
# REGISTER MATCHING ALGORITHMS
@depc.register_preproc(tablename='neighbs', colnames=['qx2_idx', 'qx2_dist'],
coltypes=[np.ndarray, np.ndarray],
parents=['keypoint', 'fgweight', 'nnindexer', 'nnindexer'])
def neighbs(depc, *args, **kwargs):
"""
CommandLine:
python -m dtool.base --exec-VsManySimilarityRequest
"""
#dummy_preproc_kpts
for qaid in zip(args):
yield np.array([qaid]), np.array([qaid])
@depc.register_preproc(tablename='neighbs_score', colnames=['qx2_dist'],
coltypes=[np.ndarray],
parents=['neighbs'])
def neighbs_score(depc, *args, **kwargs):
"""
CommandLine:
python -m dtool.base --exec-VsManySimilarityRequest
"""
raise NotImplementedError('hack')
@depc.register_preproc(
'vsone', [dummy_root, dummy_root],
['score', 'match_obj', 'fm'],
[float, DummyVsOneMatch, np.ndarray],
requestclass=DummyVsOneRequest,
configclass=DummyVsOneConfig,
chunksize=2
)
def vsone_matching(depc, qaids, daids, config):
"""
CommandLine:
python -m dtool.base --exec-VsOneSimilarityRequest
"""
print('RUNNING DUMMY VSONE ALGO')
for qaid, daid in zip(qaids, daids):
match = DummyVsOneMatch()
match.qaid = qaid
match.daid = daid
match.fm = np.array([[1, 2], [3, 4]])
score = match.score = qaid + daid
yield (score, match, match.fm)
# table = depc['spam']
# print(ut.repr2(table.get_addtable_kw(), nl=2))
depc.initialize()
# table.print_schemadef()
# print(table.db.get_schema_current_autogeneration_str())
return depc
def testdata_depc_annot():
"""
CommandLine:
python -m dtool.example_depcache2 testdata_depc_annot --show
Example:
>>> # DISABLE_DOCTEST
>>> from dtool.example_depcache2 import * # NOQA
>>> depc = testdata_depc_annot()
>>> ut.quit_if_noshow()
>>> import plottool as pt
>>> depc.show_graph()
>>> tablename = 'featweight'
>>> table = depc[tablename]
>>> table.show_input_graph()
>>> print(table.compute_order)
>>> ut.show_if_requested()
"""
import dtool
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE2')
dummy_cols = dict(colnames=['data'], coltypes=[np.ndarray])
def dummy_func(depc, *args, **kwargs):
for row_arg in zip(*args):
yield (np.array([42]),)
# NOTE: Consider the smk_match.
# It would be really cool if we could say that the vocab
# for the input to the parent smk_vec must be the same vocab
# that was used to compute the inverted index. How do we encode that?
root = 'annot'
#vocab_parent = 'annot'
#vocab_parent = 'chip'
#vocab_parent = 'feat'
vocab_parent = 'featweight'
depc = dtool.DependencyCache(
root_tablename=root, cache_dpath=cache_dpath, use_globals=False)
depc.register_preproc(tablename='chip', parents=['annot'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='fgmodel', parents=['chip*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='probchip', parents=['annot', 'fgmodel'], **dummy_cols)(dummy_func)
#depc.register_preproc(tablename='probchip', parents=['annot'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='feat', parents=['chip'], **dummy_cols)(dummy_func)
#depc.register_preproc(tablename='feat', parents=['annot'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='featweight', parents=['feat', 'probchip'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='indexer', parents=[vocab_parent + '*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='neighbs', parents=[vocab_parent, 'indexer'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='vocab', parents=[vocab_parent + '*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='smk_vec', parents=[vocab_parent, 'vocab'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='inv_index', parents=['smk_vec*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='smk_match', parents=['smk_vec', 'inv_index'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='vsone', parents=[vocab_parent, vocab_parent], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='viewpoint_model', parents=['annot*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='viewpoint', parents=['annot', 'viewpoint_model'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='quality_model', parents=['annot*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='quality', parents=['annot', 'quality_model'], **dummy_cols)(dummy_func)
depc.initialize()
return depc
def testdata_depc2():
"""
Example of local registration
sudo pip install freetype-py
CommandLine:
python -m dtool.example_depcache2 testdata_depc2 --show
Example:
>>> # DISABLE_DOCTEST
>>> from dtool.example_depcache2 import * # NOQA
>>> depc = testdata_depc2()
>>> ut.quit_if_noshow()
>>> import plottool as pt
>>> depc.show_graph()
>>> ut.show_if_requested()
"""
import dtool
import vtool as vt
from vtool import fontdemo
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE2')
root = 'annot'
depc = dtool.DependencyCache(
root_tablename=root, cache_dpath=cache_dpath, use_globals=False)
# ----------
class ChipConfig(dtool.Config):
_param_info_list = [
ut.ParamInfo('dim_size', 500),
ut.ParamInfo('ext', '.png'),
]
@depc.register_preproc(
tablename='chip', parents=[root], colnames=['size', 'img'],
coltypes=[(int, int), ('extern', vt.imread, vt.imwrite)],
configclass=ChipConfig)
def compute_chip(depc, aids, config=None):
for aid in aids:
chip = fontdemo.get_text_test_img(str(aid))
size = vt.get_size(chip)
yield size, chip
# ----------
class TipConfig(dtool.Config):
_param_info_list = [
ut.ParamInfo('manual_extract', False, hideif=False),
]
@depc.register_preproc(
tablename='tip', parents=['chip'],
colnames=['notch', 'left', 'right'],
coltypes=[np.ndarray, np.ndarray, np.ndarray],
configclass=TipConfig,
)
def compute_tips(depc, chip_rowids, config=None):
manual_extract = config['manual_extract']
chips = depc.get_native('chip', chip_rowids, 'img')
for chip in chips:
seed = (chip).sum()
perb = ((seed % 1000) / 1000) * .25
w, h = vt.get_size(chip)
if manual_extract:
# Make noticable difference between config outputs
lpb = np.ceil(w * perb)
npb = np.ceil(h * perb)
rpb = -np.ceil(w * perb)
else:
lpb = np.ceil(w * perb / 2)
npb = -np.ceil(h * perb)
rpb = -np.ceil(w * perb)
wh = np.array([w, h], dtype=np.int32)[None, :]
rel_base = np.array([[.0, .5], [.5, .5], [1., .5]])
offset = np.array([[lpb, 0], [0, npb], [rpb, 0]])
tip = np.round((wh * rel_base)) + offset
left, notch, right = tip
yield left, notch, right
# ----------
class CropChipConfig(dtool.Config):
_param_info_list = [
ut.ParamInfo('dim_size', 500),
]
@depc.register_preproc(
tablename='cropchip', parents=['chip', 'tip'],
colnames=['img'],
coltypes=[np.ndarray],
configclass=CropChipConfig,
)
def compute_cropchip(depc, cids, tids, config=None):
print("COMPUTE CROPCHIP")
print('config = %r' % (config,))
chips = depc.get_native('chip', cids, 'img')
tips = depc.get_native('tip', tids)
print('tips = %r' % (tips,))
for chip, tip in zip(chips, tips):
notch, left, right = tip
lx = left[0]
rx = right[0]
cropped_chip = chip[lx:(rx - 1), ...]
yield (cropped_chip,)
# ----------
class TrailingEdgeConfig(dtool.Config):
_param_info_list = []
@depc.register_preproc(
tablename='trailingedge', parents=['cropchip'],
colnames=['te'],
coltypes=[np.ndarray],
configclass=TrailingEdgeConfig,
)
def compute_trailing_edge(depc, cropped_chips, config=None):
for cc in cropped_chips:
#depc.get_native('chip', cids)
size = 1
te = np.arange(size)
yield (te,)
depc.initialize()
return depc
def testdata_depc_annot():
"""
CommandLine:
python -m dtool.example_depcache2 testdata_depc_annot --show
Example:
>>> # DISABLE_DOCTEST
>>> from dtool.example_depcache2 import * # NOQA
>>> depc = testdata_depc_annot()
>>> ut.quit_if_noshow()
>>> import plottool as pt
>>> depc.show_graph()
>>> tablename = 'featweight'
>>> table = depc[tablename]
>>> table.show_input_graph()
>>> print(table.compute_order)
>>> ut.show_if_requested()
"""
import dtool
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE2')
dummy_cols = dict(colnames=['data'], coltypes=[np.ndarray])
def dummy_func(depc, *args, **kwargs):
return None
# NOTE: Consider the smk_match.
# It would be really cool if we could say that the vocab
# for the input to the parent smk_vec must be the same vocab
# that was used to compute the inverted index. How do we encode that?
root = 'annot'
#vocab_parent = 'annot'
#vocab_parent = 'chip'
#vocab_parent = 'feat'
vocab_parent = 'featweight'
depc = dtool.DependencyCache(
root_tablename=root, cache_dpath=cache_dpath, use_globals=False)
depc.register_preproc(tablename='chip', parents=['annot'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='fgmodel', parents=['chip*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='probchip', parents=['annot', 'fgmodel'], **dummy_cols)(dummy_func)
#depc.register_preproc(tablename='probchip', parents=['annot'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='feat', parents=['chip'], **dummy_cols)(dummy_func)
#depc.register_preproc(tablename='feat', parents=['annot'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='featweight', parents=['feat', 'probchip'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='indexer', parents=[vocab_parent + '*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='neighbs', parents=[vocab_parent, 'indexer'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='vocab', parents=[vocab_parent + '*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='smk_vec', parents=[vocab_parent, 'vocab'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='inv_index', parents=['smk_vec*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='smk_match', parents=['smk_vec', 'inv_index'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='vsone', parents=[vocab_parent, vocab_parent], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='viewpoint_model', parents=['annot*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='viewpoint', parents=['annot', 'viewpoint_model'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='quality_model', parents=['annot*'], **dummy_cols)(dummy_func)
depc.register_preproc(tablename='quality', parents=['annot', 'quality_model'], **dummy_cols)(dummy_func)
depc.initialize()
return depc
def testdata_expts(defaultdb='testdb1',
default_acfgstr_name_list=['default:qindex=0:10:4,dindex=0:20'],
default_test_cfg_name_list=['default'],
a=None,
t=None,
p=None,
qaid_override=None,
daid_override=None,
initial_aids=None,
use_cache=None):
"""
Use this if you want data from an experiment.
Command line interface to quickly get testdata for test_results.
Command line flags can be used to specify db, aidcfg, pipecfg, qaid
override, daid override (and maybe initial aids).
CommandLine:
python -m ibeis.init.main_helpers testdata_expts
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.other.dbinfo import * # NOQA
>>> import ibeis
>>> ibs, testres = ibeis.testdata_expts(defaultdb='PZ_MTEST', a='timectrl:qsize=2', t='invar:AI=[False],RI=False', use_cache=False)
>>> print('testres = %r' % (testres,))
"""
if ut.VERBOSE:
print('[main_helpers] testdata_expts')
import ibeis
from ibeis.expt import harness
from ibeis.expt import test_result
if a is not None:
default_acfgstr_name_list = a
if t is not None and p is None:
p = t
if p is not None:
default_test_cfg_name_list = p
if isinstance(default_acfgstr_name_list, six.string_types):
default_acfgstr_name_list = [default_acfgstr_name_list]
if isinstance(default_test_cfg_name_list, six.string_types):
default_test_cfg_name_list = [default_test_cfg_name_list]
#from ibeis.expt import experiment_helpers
ibs = ibeis.opendb(defaultdb=defaultdb)
acfg_name_list = ut.get_argval(('--aidcfg', '--acfg', '-a'), type_=list,
default=default_acfgstr_name_list)
test_cfg_name_list = ut.get_argval(('-t', '-p'), type_=list, default=default_test_cfg_name_list)
daid_override = ut.get_argval(('--daid-override', '--daids-override'), type_=list, default=daid_override)
qaid_override = ut.get_argval(('--qaid', '--qaids-override', '--qaid-override'), type_=list, default=qaid_override)
# Hack a cache here
use_bigtest_cache3 = not ut.get_argflag(('--nocache', '--nocache-hs'))
use_bigtest_cache3 &= ut.is_developer()
if use_cache is not None:
use_bigtest_cache3 &= use_cache
use_bigtest_cache3 &= False
#use_bigtest_cache3 = True
if use_bigtest_cache3:
from os.path import dirname, join
cache_dir = ut.ensuredir(join(dirname(ut.get_module_dir(ibeis)), 'BIG_TESTLIST_CACHE3'))
_load_testres = ut.cached_func('testreslist', cache_dir=cache_dir)(harness.run_test_configurations2)
else:
_load_testres = harness.run_test_configurations2
testres_list = _load_testres(
ibs, acfg_name_list, test_cfg_name_list, qaid_override=qaid_override,
daid_override=daid_override, initial_aids=initial_aids,
use_cache=use_cache)
testres = test_result.combine_testres_list(ibs, testres_list)
if ut.VERBOSE:
print(testres)
return ibs, testres
def testdata_depc3(in_memory=True):
"""
Example of local registration
CommandLine:
python -m dtool.example_depcache2 testdata_depc3 --show
Example:
>>> # ENABLE_DOCTEST
>>> from wbia.dtool.example_depcache2 import * # NOQA
>>> depc = testdata_depc3()
>>> data = depc.get('labeler', [1, 2, 3], 'data', _debug=True)
>>> data = depc.get('indexer', [[1, 2, 3]], 'data', _debug=True)
>>> depc.print_all_tables()
>>> # xdoctest: +REQUIRES(--show)
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> depc.show_graph()
>>> from wbia.plottool.interactions import ExpandableInteraction
>>> inter = ExpandableInteraction(nCols=2)
>>> depc['smk_match'].show_input_graph(inter)
>>> depc['vsone'].show_input_graph(inter)
>>> #depc['vocab'].show_input_graph(inter)
>>> depc['neighbs'].show_input_graph(inter)
>>> inter.start()
>>> #depc['viewpoint_classification'].show_input_graph()
>>> ut.show_if_requested()
"""
from wbia import dtool
# put the test cache in the dtool repo
dtool_repo = dirname(ut.get_module_dir(dtool))
cache_dpath = join(dtool_repo, 'DEPCACHE3')
# FIXME: this only puts the sql files in memory
default_fname = ':memory:' if in_memory else None
root = 'annot'
depc = dtool.DependencyCache(
root_tablename=root,
get_root_uuid=ut.identity,
default_fname=default_fname,
cache_dpath=cache_dpath,
use_globals=False,
)
# ----------
# dummy_cols = dict(colnames=['data'], coltypes=[np.ndarray])
register_dummy_config = depc_34_helper(depc)
register_dummy_config(tablename='labeler', parents=['annot'])
register_dummy_config(tablename='meta_labeler', parents=['labeler'])
register_dummy_config(tablename='indexer', parents=['annot*'])
# register_dummy_config(tablename='neighbs', parents=['annot', 'indexer'])
register_dummy_config(tablename='neighbs',
parents=['meta_labeler', 'indexer'])
register_dummy_config(tablename='vocab', parents=['annot*'])
# register_dummy_config(tablename='smk_vec', parents=['annot', 'vocab'], vectorized=True)
register_dummy_config(tablename='smk_vec', parents=['annot', 'vocab'])
# vectorized=True)
# register_dummy_config(tablename='inv_index', parents=['smk_vec*'])
register_dummy_config(tablename='inv_index', parents=['smk_vec*', 'vocab'])
register_dummy_config(tablename='smk_match',
parents=['smk_vec', 'inv_index'])
register_dummy_config(tablename='vsone', parents=['annot', 'annot'])
# register_dummy_config(tablename='viewpoint_classifier', parents=['annot*'])
# register_dummy_config(tablename='viewpoint_classification', parents=['annot', 'viewpoint_classifier'])
depc.initialize()
return depc
def testdata_expts(
defaultdb='testdb1',
default_acfgstr_name_list=['default:qindex=0:10:4,dindex=0:20'],
default_test_cfg_name_list=['default'],
a=None,
t=None,
p=None,
qaid_override=None,
daid_override=None,
initial_aids=None,
use_cache=None,
dbdir=None,
ibs=None):
r"""
Use this if you want data from an experiment.
Command line interface to quickly get testdata for test_results.
Command line flags can be used to specify db, aidcfg, pipecfg, qaid
override, daid override (and maybe initial aids).
CommandLine:
python -m ibeis.init.main_helpers testdata_expts
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.other.dbinfo import * # NOQA
>>> import ibeis
>>> ibs, testres = ibeis.testdata_expts(defaultdb='pz_mtest',
>>> a='timectrl:qsize=2',
>>> t='invar:ai=[false],ri=false',
>>> use_cache=false)
>>> print('testres = %r' % (testres,))
"""
if ut.VERBOSE:
print('[main_helpers] testdata_expts')
import ibeis
from ibeis.expt import harness
if a is not None:
default_acfgstr_name_list = a
if t is not None and p is None:
p = t
if p is not None:
default_test_cfg_name_list = p
if isinstance(default_acfgstr_name_list, six.string_types):
default_acfgstr_name_list = [default_acfgstr_name_list]
if isinstance(default_test_cfg_name_list, six.string_types):
default_test_cfg_name_list = [default_test_cfg_name_list]
#from ibeis.expt import experiment_helpers
if dbdir is not None:
dbdir = ut.truepath(dbdir)
if ibs is None:
ibs = ibeis.opendb(defaultdb=defaultdb, dbdir=dbdir)
acfg_name_list = ut.get_argval(('--aidcfg', '--acfg', '-a'),
type_=list,
default=default_acfgstr_name_list)
test_cfg_name_list = ut.get_argval(('-t', '-p'),
type_=list,
default=default_test_cfg_name_list)
daid_override = ut.get_argval(('--daid-override', '--daids-override'),
type_=list,
default=daid_override)
qaid_override = ut.get_argval(
('--qaid', '--qaids-override', '--qaid-override'),
type_=list,
default=qaid_override)
# Hack a cache here
use_bulk_cache = not ut.get_argflag(('--nocache', '--nocache-hs'))
use_bulk_cache &= ut.is_developer()
if use_cache is not None:
use_bulk_cache &= use_cache
use_bulk_cache &= False
#use_bulk_cache = True
if use_bulk_cache:
from os.path import dirname
cache_dir = ut.ensuredir(
(dirname(ut.get_module_dir(ibeis)), 'BULK_TESTRES'))
_cache_wrp = ut.cached_func('testreslist', cache_dir=cache_dir)
_load_testres = _cache_wrp(harness.run_expt)
else:
_load_testres = harness.run_expt
testres = _load_testres(ibs,
acfg_name_list,
test_cfg_name_list,
qaid_override=qaid_override,
daid_override=daid_override,
initial_aids=initial_aids,
use_cache=use_cache)
#testres = test_result.combine_testres_list(ibs, testres_list)
if ut.VERBOSE:
print(testres)
return ibs, testres