def _check_hardlinks_( self ):
tmp_path = os.path.join( self.path, 'driveinfo.tmp' )
tools.make_dirs( tmp_path )
if not os.path.isdir( tmp_path ):
return False
file1_path = os.path.join( tmp_path, 'file1' )
file2_path = os.path.join( tmp_path, 'file2' )
ret_val = False
os.system( "echo abc > \"%s\"" % file1_path )
os.system( "ln \"%s\" \"%s\"" % ( file1_path, file2_path ) )
os.system( "echo abc > \"%s\"" % file2_path )
if os.path.exists( file1_path ) and os.path.exists( file2_path ):
try:
info1 = os.stat( file1_path )
info2 = os.stat( file2_path )
if info1.st_size == info2.st_size:
ret_val = True
except:
pass
os.system( "rm -rf \"%s\"" % tmp_path )
return ret_val
def backup_config(self):
"""
create a backup of encfs config file into local config folder
so in cases of the config file get deleted or corrupt user can restore
it from there
"""
cfg = self.get_config_file()
if not os.path.isfile(cfg):
logger.warning(
'No encfs config in %s. Skip backup of config file.' % cfg,
self)
return
backup_folder = self.config.get_encfsconfig_backup_folder(
self.profile_id)
tools.make_dirs(backup_folder)
old_backups = os.listdir(backup_folder)
old_backups.sort(reverse=True)
if len(old_backups):
last_backup = os.path.join(backup_folder, old_backups[0])
#don't create a new backup if config hasn't changed
if tools._get_md5sum_from_path(cfg) == \
tools._get_md5sum_from_path(last_backup):
logger.debug('Encfs config did not change. Skip backup', self)
return
new_backup_file = '.'.join(
(os.path.basename(cfg), datetime.now().strftime('%Y%m%d%H%M')))
new_backup = os.path.join(backup_folder, new_backup_file)
logger.debug(
'Create backup of encfs config %s to %s' % (cfg, new_backup), self)
shutil.copy2(cfg, new_backup)
def backup_config(self):
"""
create a backup of encfs config file into local config folder
so in cases of the config file get deleted or corrupt user can restore
it from there
"""
cfg = self.get_config_file()
if not os.path.isfile(cfg):
logger.warning('No encfs config in %s. Skip backup of config file.' %cfg, self)
return
backup_folder = self.config.get_encfsconfig_backup_folder(self.profile_id)
tools.make_dirs(backup_folder)
old_backups = os.listdir(backup_folder)
old_backups.sort(reverse = True)
if len(old_backups):
last_backup = os.path.join(backup_folder, old_backups[0])
#don't create a new backup if config hasn't changed
if tools._get_md5sum_from_path(cfg) == \
tools._get_md5sum_from_path(last_backup):
logger.debug('Encfs config did not change. Skip backup', self)
return
new_backup_file = '.'.join((os.path.basename(cfg), datetime.now().strftime('%Y%m%d%H%M') ))
new_backup = os.path.join(backup_folder, new_backup_file)
logger.debug('Create backup of encfs config %s to %s'
%(cfg, new_backup), self)
shutil.copy2(cfg, new_backup)
def _check_hardlinks_(self):
tmp_path = os.path.join(self.path, 'driveinfo.tmp')
tools.make_dirs(tmp_path)
if not os.path.isdir(tmp_path):
return False
file1_path = os.path.join(tmp_path, 'file1')
file2_path = os.path.join(tmp_path, 'file2')
ret_val = False
os.system("echo abc > \"%s\"" % file1_path)
os.system("ln \"%s\" \"%s\"" % (file1_path, file2_path))
os.system("echo abc > \"%s\"" % file2_path)
if os.path.exists(file1_path) and os.path.exists(file2_path):
try:
info1 = os.stat(file1_path)
info2 = os.stat(file2_path)
if info1.st_size == info2.st_size:
ret_val = True
except:
pass
os.system("rm -rf \"%s\"" % tmp_path)
return ret_val
def demo(config):
# init loaders and base
loaders = CustomedLoaders(config)
base = DemoBase(config)
# visualization
base.resume_from_model(config.resume_visualize_model)
make_dirs(config.visualize_output_path)
visualize(config, base, loaders)
def _create_directory( self, folder ):
tools.make_dirs( folder )
if not os.path.exists( folder ):
logger.error( "Can't create directory: %s" % folder )
self.set_take_snapshot_message( 1, _('Can\'t create directory: %s') % folder )
os.system( 'sleep 2' ) #max 1 backup / second
return False
return True
def __init__( self ):
self._APP_PATH = os.path.abspath( os.path.dirname( __file__ ) )
self._DOC_PATH = '/usr/share/doc/backintime'
if os.path.exists( os.path.join( self._APP_PATH, 'LICENSE' ) ):
self._DOC_PATH = self._APP_PATH
self._GLOBAL_CONFIG_PATH = '/etc/backintime/config2'
HOME_FOLDER = os.path.expanduser( '~' )
self._LOCAL_DATA_FOLDER = os.path.join( os.getenv( 'XDG_DATA_HOME', '$HOME/.local/share' ).replace( '$HOME', HOME_FOLDER ), 'backintime' )
self._LOCAL_CONFIG_FOLDER = os.path.join( os.getenv( 'XDG_CONFIG_HOME', '$HOME/.config' ).replace( '$HOME', HOME_FOLDER ), 'backintime' )
#self._LOCAL_CONFIG_FOLDER = os.path.expanduser( '~/.config/backintime' )
tools.make_dirs( self._LOCAL_CONFIG_FOLDER )
tools.make_dirs( self._LOCAL_DATA_FOLDER )
self._LOCAL_CONFIG_PATH = os.path.join( self._LOCAL_CONFIG_FOLDER, 'config2' )
self.load( self._GLOBAL_CONFIG_PATH )
self.append( self._LOCAL_CONFIG_PATH )
OLD_CONFIG_PATH = os.path.join( self._LOCAL_CONFIG_FOLDER, 'config' )
if os.path.exists( OLD_CONFIG_PATH ):
#import old config
old_config = configfile.ConfigFile()
old_config.load( OLD_CONFIG_PATH )
dict = {
'BASE_BACKUP_PATH' : 'snapshots.path',
'INCLUDE_FOLDERS' : 'snapshots.include_folders',
'EXCLUDE_PATTERNS' : 'snapshots.exclude_patterns',
'AUTOMATIC_BACKUP' : 'snapshots.automatic_backup_mode',
'REMOVE_OLD_BACKUPS' : 'snapshots.remove_old_snapshots.enabled',
'REMOVE_OLD_BACKUPS_VALUE' : 'snapshots.remove_old_snapshots.value',
'REMOVE_OLD_BACKUPS_UNIT' : 'snapshots.remove_old_snapshots.unit',
'MIN_FREE_SPACE' : 'snapshots.min_free_space.enabled',
'MIN_FREE_SPACE_VALUE' : 'snapshots.min_free_space.value',
'MIN_FREE_SPACE_UNIT' : 'snapshots.min_free_space.unit',
'DONT_REMOVE_NAMED_SNAPSHOTS' : 'snapshots.dont_remove_named_snapshots',
'DIFF_CMD' : 'gnome.diff.cmd',
'DIFF_CMD_PARAMS' : 'gnome.diff.params',
'LAST_PATH' : 'gnome.last_path',
'MAIN_WINDOW_X' : 'gnome.main_window.x',
'MAIN_WINDOW_Y' : 'gnome.main_window.y',
'MAIN_WINDOW_WIDTH' : 'gnome.main_window.width',
'MAIN_WINDOW_HEIGHT' : 'gnome.main_window.height',
'MAIN_WINDOW_HPANED1_POSITION' : 'gnome.main_window.hpaned1',
'MAIN_WINDOW_HPANED2_POSITION' : 'gnome.main_window.hpaned2'
}
if self.get_if_dont_exists( dict, old_config ):
self.save()
os.system( "rm \"%s\"" % OLD_CONFIG_PATH )
def _create_directory(self, folder):
tools.make_dirs(folder)
if not os.path.exists(folder):
logger.error("Can't create directory: %s" % folder)
self.set_take_snapshot_message(
1,
_('Can\'t create directory: %s') % folder)
os.system('sleep 2') #max 1 backup / second
return False
return True
def init(self):
tools.remove_files(self.experiment_dir)
tools.make_dirs(self.experiment_dir)
tools.make_file(self.setting.command_log)
if check.check_file_exist(self.setting.command_log):
tools.empty_file(self.setting.command_log)
log.logger_experiment.info('unzipping file ' +
self.experiment_file_name)
tools.unzip(self.experiment_file_name, self.experiment_dir)
ack_data = {'state': 0}
return ack_data
def main(config):
# init loaders and base
loaders = ReIDLoaders(config)
base = Base(config)
# make directions
make_dirs(base.output_path)
# init logger
logger = Logger(os.path.join(config.output_path, 'log.txt'))
logger(config)
assert config.mode in ['train', 'test', 'visualize']
if config.mode == 'train': # train mode
# automatically resume model from the latest one
if config.auto_resume_training_from_lastest_steps:
start_train_epoch = base.resume_last_model()
# main loop
for current_epoch in range(start_train_epoch,
config.total_train_epochs):
# save model
base.save_model(current_epoch)
# train
_, results = train_an_epoch(config, base, loaders, current_epoch)
logger('Time: {}; Epoch: {}; {}'.format(time_now(),
current_epoch, results))
# test
base.save_model(config.total_train_epochs)
mAP, CMC, pres, recalls, thresholds = test(config, base, loaders)
logger('Time: {}; Test Dataset: {}, \nmAP: {} \nRank: {}'.format(
time_now(), config.test_dataset, mAP, CMC))
plot_prerecall_curve(config, pres, recalls, thresholds, mAP, CMC,
'none')
elif config.mode == 'test': # test mode
base.resume_from_model(config.resume_test_model)
mAP, CMC, pres, recalls, thresholds = test(config, base, loaders)
logger('Time: {}; Test Dataset: {}, \nmAP: {} \nRank: {}'.format(
time_now(), config.test_dataset, mAP, CMC))
logger(
'Time: {}; Test Dataset: {}, \nprecision: {} \nrecall: {}\nthresholds: {}'
.format(time_now(), config.test_dataset, mAP, CMC, pres, recalls,
thresholds))
plot_prerecall_curve(config, pres, recalls, thresholds, mAP, CMC,
'none')
elif config.mode == 'visualize': # visualization mode
base.resume_from_model(config.resume_visualize_model)
visualize(config, base, loaders)
def updateSrv(*args):
"""
unzip the zip file for deployserver or copyXml to /app/update/ of remote IP
args:
srv:designate deploy service name like 'monevent'
zipfilepath:designate source *.zip directory like '/home/test/console/temp/monevent.linux64.zip.21344'
md5filepath:designate source *.md5 directory like '/home/test/console/temp/monevent.linux64.zip.md5.21344'
cfg.XML_CONFIG: only for exec 'copyXml' indicate directory like '/home/test/app/update/monevent/config/'
returns:
0 indicate succ
1 indicate failed
"""
try:
back_flag = False
## check ZIP and MD5
if not md5check(args[1], args[2]):
print("FILE [" + zipfilepath + "] MD5 check error")
return 1
## Backup
if len(args) == 4:
unzip_path = join_path(cfg.DEPLOY_PATH_UPDATE, args[0])
dest_path = join_path(unzip_path, args[3])
elif len(args) == 3:
dest_path = join_path(cfg.DEPLOY_PATH_UPDATE, args[0])
if os.path.isdir(dest_path):
back_path = dest_path + '_bak.' + cfg.PID
if not os.path.exists(back_path):
shutil.move(dest_path, back_path)
back_flag = True
## Unzip
if len(args) == 4:
print("unzip:" + args[1] + "to" + unzip_path)
make_dirs(unzip_path)
unzip_file(args[1], unzip_path)
elif len(args) == 3:
print("unzip:" + args[1] + "to" + cfg.DEPLOY_PATH_UPDATE)
unzip_file(args[1], cfg.DEPLOY_PATH_UPDATE)
except Exception as e: ###!!! opt no key
## Restore
if back_flag:
if os.path.isdir(dest_path):
shutil.rmtree(dest_path)
shutil.move(back_path, dest_path)
print(traceback.format_exc())
return 1
else:
## Drop backup
if back_flag:
shutil.rmtree(back_path)
return 0
def copyDirs(dir_list, filepath_src, filepath_dst):
"""
make directory dir_dst like /home/test/app/run/monevent1/log /home/test/app/run/monevent1/flow \
/home/test/app/run/monevent1/config /home/test/app/run/monevent1/bin
args:
dir_list:['/home/test/app/update/monevent/log', '/home/test/app/update/monevent/flow', '/home/test/app/update/monevent/config', '/home/test/app/update/monevent/bin']
filepath_src:/home/test/app/update/monevent
filepath_dst:/home/test/app/run/monevent1
"""
for dir_path in dir_list:
dir_dst = join_path(filepath_dst, dir_path[len(filepath_src):])
print("mkdir %s" % (dir_dst))
make_dirs(dir_dst)
def main(config):
# init loaders and base
loaders = ReIDLoaders(config)
base = Base(config)
# make directions
make_dirs(base.output_path)
# init logger
logger = Logger(os.path.join(config.output_path, 'log.txt'))
logger(config)
assert config.mode in ['train', 'test', 'visualize']
if config.mode == 'train': # train mode
# automatically resume model from the latest one
if config.auto_resume_training_from_lastest_steps:
print('resume', base.output_path)
start_train_epoch = base.resume_last_model()
#start_train_epoch = 0
# main loop
for current_epoch in range(start_train_epoch,
config.total_train_epochs + 1):
# save model
base.save_model(current_epoch)
# train
base.lr_scheduler.step(current_epoch)
_, results = train_an_epoch(config, base, loaders)
logger('Time: {}; Epoch: {}; {}'.format(time_now(),
current_epoch, results))
# test
base.save_model(config.total_train_epochs)
mAP, CMC = test(config, base, loaders)
logger('Time: {}; Test Dataset: {}, \nmAP: {} \nRank: {}'.format(
time_now(), config.test_dataset, mAP, CMC))
elif config.mode == 'test': # test mode
base.resume_from_model(config.resume_test_model)
mAP, CMC = test(config, base, loaders)
logger('Time: {}; Test Dataset: {}, \nmAP: {} \nRank: {} with len {}'.
format(time_now(), config.test_dataset, mAP, CMC, len(CMC)))
elif config.mode == 'visualize': # visualization mode
base.resume_from_model(config.resume_visualize_model)
visualize(config, base, loaders)
def _check_usergroup_(self):
tmp_path = os.path.join(self.path, 'driveinfo.tmp')
tools.make_dirs(tmp_path)
if not os.path.isdir(tmp_path):
return False
file_path = os.path.join(tmp_path, 'file')
os.system("echo abc > \"%s\"" % file_path)
if not os.path.isfile(file_path):
return False
ret_val = False
uid = os.getuid()
gid = os.getgid()
try:
info = os.stat(file_path)
if info.st_uid == uid and info.st_gid == gid:
ret_val = True
except:
pass
if ret_val and uid == 0:
#try to change the group
import grp
#search for another group
new_gid = gid
new_name = ''
for group in grp.getgrall():
if group.gr_gid != gid:
new_gid = group.gr_gid
new_name = group.gr_name
break
if new_gid != gid:
os.system("chgrp %s \"%s\"" % (new_name, file_path))
try:
info = os.stat(file_path)
if info.st_gid != new_gid:
ret_val = False
except:
ret_val = False
os.system("rm -rf \"%s\"" % tmp_path)
return ret_val
def _check_usergroup_( self ):
tmp_path = os.path.join( self.path, 'driveinfo.tmp' )
tools.make_dirs( tmp_path )
if not os.path.isdir( tmp_path ):
return False
file_path = os.path.join( tmp_path, 'file' )
os.system( "echo abc > \"%s\"" % file_path )
if not os.path.isfile( file_path ):
return False
ret_val = False
uid = os.getuid()
gid = os.getgid()
try:
info = os.stat( file_path )
if info.st_uid == uid and info.st_gid == gid:
ret_val = True
except:
pass
if ret_val and uid == 0:
#try to change the group
import grp
#search for another group
new_gid = gid
new_name = ''
for group in grp.getgrall():
if group.gr_gid != gid:
new_gid = group.gr_gid
new_name = group.gr_name
break
if new_gid != gid:
os.system( "chgrp %s \"%s\"" % ( new_name, file_path ) )
try:
info = os.stat( file_path )
if info.st_gid != new_gid:
ret_val = False
except:
ret_val = False
os.system( "rm -rf \"%s\"" % tmp_path )
return ret_val
def set_snapshots_path( self, value ): print "Snapshots path: %s" % value if len( value ) > 0: if not os.path.isdir( value ): return _( '%s is not a directory !' ) % value else: old_value = self.get_snapshots_path() self.set_str_value( 'snapshots.path', value ) full_path = self.get_snapshots_full_path() self.set_str_value( 'snapshots.path', old_value ) if not os.path.isdir( full_path ): tools.make_dirs( full_path ) if not os.path.isdir( full_path ): return _( 'Can\'t write to: %s\nAre you sure have write access ?' ) % value self.set_str_value( 'snapshots.path', value ) return None
def set_snapshots_path(self, value):
print "Snapshots path: %s" % value
if len(value) > 0:
if not os.path.isdir(value):
return _('%s is not a directory !') % value
else:
old_value = self.get_snapshots_path()
self.set_str_value('snapshots.path', value)
full_path = self.get_snapshots_full_path()
self.set_str_value('snapshots.path', old_value)
if not os.path.isdir(full_path):
tools.make_dirs(full_path)
if not os.path.isdir(full_path):
return _(
'Can\'t write to: %s\nAre you sure have write access ?'
) % value
self.set_str_value('snapshots.path', value)
return None
def main(config):
loader = Loader(config)
base = Base(config, loader)
make_dirs(base.output_path)
make_dirs(base.save_logs_path)
make_dirs(base.save_model_path)
logger = Logger(os.path.join(base.save_logs_path, 'log.txt'))
logger(config)
if config.mode == 'train':
if config.resume_train_epoch >= 0:
base.resume_model(config.resume_train_epoch)
start_train_epoch = config.resume_train_epoch
else:
start_train_epoch = 0
if config.auto_resume_training_from_lastest_step:
root, _, files = os_walk(base.save_model_path)
if len(files) > 0:
indexes = []
for file in files:
indexes.append(int(
file.replace('.pkl', '').split('_')[-1]))
indexes = sorted(list(set(indexes)), reverse=False)
base.resume_model(indexes[-1])
start_train_epoch = indexes[-1]
logger(
'Time: {}, automatically resume training from the latest step (model {})'
.format(time_now(), indexes[-1]))
for current_epoch in range(start_train_epoch,
config.total_train_epoch):
base.save_model(current_epoch)
if current_epoch < config.use_graph:
_, result = train_meta_learning(base, loader)
logger('Time: {}; Epoch: {}; {}'.format(
time_now(), current_epoch, result))
if current_epoch + 1 >= 1 and (current_epoch + 1) % 40 == 0:
mAP, CMC = test(config, base, loader)
logger(
'Time: {}; Test on Target Dataset: {}, \nmAP: {} \n Rank: {}'
.format(time_now(), config.target_dataset, mAP, CMC))
else:
_, result = train_with_graph(config, base, loader)
logger('Time: {}; Epoch: {}; {}'.format(
time_now(), current_epoch, result))
if current_epoch + 1 >= 1 and (current_epoch + 1) % 5 == 0:
mAP, CMC = test_with_graph(config, base, loader)
logger(
'Time: {}; Test on Target Dataset: {}, \nmAP: {} \n Rank: {}'
.format(time_now(), config.target_dataset, mAP, CMC))
elif config.mode == 'test':
base.resume_model(config.resume_test_model)
mAP, CMC = test_with_graph(config, base, loader)
logger('Time: {}; Test on Target Dataset: {}, \nmAP: {} \n Rank: {}'.
format(time_now(), config.target_dataset, mAP, CMC))
def _check_perms_(self):
tmp_path = os.path.join(self.path, 'driveinfo.tmp')
tools.make_dirs(tmp_path)
if not os.path.isdir(tmp_path):
return False
file_path = os.path.join(tmp_path, 'file')
os.system("echo abc > \"%s\"" % file_path)
if not os.path.isfile(file_path):
return False
ret_val = False
if self._check_perms_for_file_(file_path, '111'):
if self._check_perms_for_file_(file_path, '700'):
if self._check_perms_for_file_(file_path, '600'):
if self._check_perms_for_file_(file_path, '711'):
if self._check_perms_for_file_(file_path, '300'):
if self._check_perms_for_file_(file_path, '666'):
ret_val = True
os.system("rm -rf \"%s\"" % tmp_path)
return ret_val
def _check_perms_( self ):
tmp_path = os.path.join( self.path, 'driveinfo.tmp' )
tools.make_dirs( tmp_path )
if not os.path.isdir( tmp_path ):
return False
file_path = os.path.join( tmp_path, 'file' )
os.system( "echo abc > \"%s\"" % file_path )
if not os.path.isfile( file_path ):
return False
ret_val = False
if self._check_perms_for_file_( file_path, '111' ):
if self._check_perms_for_file_( file_path, '700' ):
if self._check_perms_for_file_( file_path, '600' ):
if self._check_perms_for_file_( file_path, '711' ):
if self._check_perms_for_file_( file_path, '300' ):
if self._check_perms_for_file_( file_path, '666' ):
ret_val = True
os.system( "rm -rf \"%s\"" % tmp_path )
return ret_val
def task_receive_files(received_json, experiment, setting):
file_url = received_json['data']['file_url']
file_name = received_json['data']['file_name']
if not os.path.exists(setting.storage_path):
tools.make_dirs(setting.storage_path)
file = os.path.join(setting.storage_path, file_name)
experiment.set_experiment_file_name(file)
download_url = "http://" + setting.web_server_ip + ":" + str(
setting.web_server_port) + file_url
file_data = urllib.request.urlopen(download_url).read()
print('downloading file from' + download_url)
output = open(file, "wb")
output.write(file_data)
output.close()
print('download file', file)
file_md5 = tools.call_md5(file_data)
ack_data = json.dumps({"file_name": file_name, "check": file_md5})
print('task_receive_files ack_data:', ack_data)
return ack_data
def test_make_dirs_not_writeable(self):
with TemporaryDirectory() as d:
os.chmod(d, stat.S_IRUSR)
path = os.path.join(d, 'foobar{}'.format(random.randrange(100, 999)))
self.assertFalse(tools.make_dirs(path))
def test_make_dirs(self):
self.assertFalse(tools.make_dirs('/'))
self.assertTrue(tools.make_dirs(os.getcwd()))
with TemporaryDirectory() as d:
path = os.path.join(d, 'foo', 'bar')
self.assertTrue(tools.make_dirs(path))
def main(config):
# loaders and base
loaders = Loaders(config)
base = Base(config, loaders)
# make dirs
make_dirs(config.save_images_path)
make_dirs(config.save_models_path)
make_dirs(config.save_features_path)
# logger
logger = Logger(os.path.join(config.output_path, 'log.txt'))
logger(config)
if config.mode == 'train':
# automatically resume model from the latest one
start_train_epoch = 0
root, _, files = os_walk(config.save_models_path)
if len(files) > 0:
# get indexes of saved models
indexes = []
for file in files:
indexes.append(int(file.replace('.pkl', '').split('_')[-1]))
# remove the bad-case and get available indexes
model_num = len(base.model_list)
available_indexes = copy.deepcopy(indexes)
for element in indexes:
if indexes.count(element) < model_num:
available_indexes.remove(element)
available_indexes = sorted(list(set(available_indexes)),
reverse=True)
unavailable_indexes = list(
set(indexes).difference(set(available_indexes)))
if len(available_indexes
) > 0: # resume model from the latest model
base.resume_model(available_indexes[0])
start_train_epoch = available_indexes[0] + 1
logger(
'Time: {}, automatically resume training from the latest step (model {})'
.format(time_now(), available_indexes[0]))
else: #
logger('Time: {}, there are no available models')
# main loop
for current_epoch in range(
start_train_epoch, config.warmup_reid_epoches +
config.warmup_gan_epoches + config.train_epoches):
# test
if current_epoch % 10 == 0 and current_epoch > config.warmup_reid_epoches + config.warmup_gan_epoches:
results = test(config, base, loaders, brief=True)
for key in results.keys():
logger('Time: {}\n Setting: {}\n {}'.format(
time_now(), key, results[key]))
# visualize generated images
if current_epoch % 10 == 0 or current_epoch <= 10:
visualize(config, loaders, base, current_epoch)
# train
if current_epoch < config.warmup_reid_epoches: # warmup reid model
results = train_an_epoch(config,
loaders,
base,
current_epoch,
train_gan=True,
train_reid=True,
train_pixel=False,
optimize_sl_enc=True)
elif current_epoch < config.warmup_reid_epoches + config.warmup_gan_epoches: # warmup GAN model
results = train_an_epoch(config,
loaders,
base,
current_epoch,
train_gan=True,
train_reid=False,
train_pixel=False,
optimize_sl_enc=False)
else: # joint train
results = train_an_epoch(config,
loaders,
base,
current_epoch,
train_gan=True,
train_reid=True,
train_pixel=True,
optimize_sl_enc=True)
logger('Time: {}; Epoch: {}; {}'.format(time_now(),
current_epoch, results))
# save model
base.save_model(current_epoch)
# test
results = test(config, base, loaders, brief=False)
for key in results.keys():
logger('Time: {}\n Setting: {}\n {}'.format(
time_now(), key, results[key]))
elif config.mode == 'test':
# resume from pre-trained model and test
base.resume_model_from_path(config.pretrained_model_path,
config.pretrained_model_epoch)
results = test(config, base, loaders, brief=False)
for key in results.keys():
logger('Time: {}\n Setting: {}\n {}'.format(
time_now(), key, results[key]))
def _take_snapshot( self, snapshot_id, now, include_folders, ignore_folders, dict, force ):
#print "Snapshot: %s" % snapshot_id
#print "\tInclude: %s" % include_folders
#print "\tIgnore: %s" % ignore_folders
#print "\tDict: %s" % dict
self.set_take_snapshot_message( 0, _('...') )
#snapshot_path = self.get_snapshot_path( snapshot_id )
#snapshot_path_to = self.get_snapshot_path_to( snapshot_id )
new_snapshot_id = 'new_snapshot'
new_snapshot_path = self.get_snapshot_path( new_snapshot_id )
if os.path.exists( new_snapshot_path ):
self._execute( "rm -rf \"%s\"" % new_snapshot_path )
if os.path.exists( new_snapshot_path ):
logger.error( "Can't remove directory: %s" % new_snapshot_path )
self.set_take_snapshot_message( 1, _('Can\'t remove directory: %s') % new_snapshot_path )
os.system( 'sleep 2' ) #max 1 backup / second
return False
new_snapshot_path_to = self.get_snapshot_path_to( new_snapshot_id )
#create exclude patterns string
items = []
for exclude in self.config.get_exclude_patterns():
self._append_item_to_list( "--exclude=\"%s\"" % exclude, items )
for folder in ignore_folders:
self._append_item_to_list( "--exclude=\"%s\"" % folder, items )
rsync_exclude = ' '.join( items )
#create include patterns list
items = []
items2 = []
for include_folder in include_folders:
self._append_item_to_list( "--include=\"%s/**\"" % include_folder, items2 )
while True:
self._append_item_to_list( "--include=\"%s/\"" % include_folder, items )
include_folder = os.path.split( include_folder )[0]
if len( include_folder ) <= 1:
break
rsync_include = ' '.join( items )
rsync_include2 = ' '.join( items2 )
#rsync prefix & suffix
rsync_prefix = 'rsync -a '
rsync_suffix = ' --whole-file --delete ' + rsync_include + ' ' + rsync_exclude + ' ' + rsync_include2 + ' --exclude=\"*\" / '
#update dict
if not force:
for folder in include_folders:
dict[ folder ] = now
self._set_last_snapshot_info( dict )
#check previous backup
snapshots = self.get_snapshots_list()
prev_snapshot_id = ''
#rsync_link_with = ''
if len( snapshots ) > 0:
prev_snapshot_id = snapshots[0]
prev_snapshot_name = self.get_snapshot_display_id( prev_snapshot_id )
self.set_take_snapshot_message( 0, _('Compare with snapshot %s') % prev_snapshot_name )
logger.info( "Compare with old snapshot: %s" % prev_snapshot_id )
prev_snapshot_folder = self.get_snapshot_path_to( prev_snapshot_id )
cmd = rsync_prefix + ' -i --dry-run ' + rsync_suffix + '"' + prev_snapshot_folder + '"'
try_cmd = self._execute_output( cmd, self._exec_rsync_compare_callback, prev_snapshot_name )
changed = False
for line in try_cmd.split( '\n' ):
if len( line ) < 1:
continue
if line[0] != '.':
changed = True
break
if not changed:
logger.info( "Nothing changed, no back needed" )
return False
#create hard links
#rsync_link_with = "--link-dest=\"%s\" " % prev_snapshot_folder
if not self._create_directory( new_snapshot_path_to ):
return False
self.set_take_snapshot_message( 0, _('Create hard-links') )
logger.info( "Create hard-links" )
if force or len( ignore_folders ) == 0:
cmd = "cp -al \"%s\"* \"%s\"" % ( self.get_snapshot_path_to( prev_snapshot_id ), new_snapshot_path_to )
self._execute( cmd )
else:
for folder in include_folders:
prev_path = self.get_snapshot_path_to( prev_snapshot_id, folder )
new_path = self.get_snapshot_path_to( new_snapshot_id, folder )
tools.make_dirs( new_path )
cmd = "cp -alb \"%s\"* \"%s\"" % ( prev_path, new_path )
self._execute( cmd )
cmd = "chmod -R a+w \"%s\"" % new_snapshot_path
self._execute( cmd )
else:
if not self._create_directory( new_snapshot_path_to ):
return False
#create new backup folder
#if not self._create_directory( new_snapshot_path_to ):
# logger.error( "Can't create snapshot directory: %s" % new_snapshot_path_to )
# return False
#sync changed folders
logger.info( "Call rsync to take the snapshot" )
#cmd = rsync_prefix + ' -v --delete-excluded --chmod=a-w ' + rsync_link_with + rsync_suffix + '"' + new_snapshot_path_to + '"'
cmd = rsync_prefix + ' -v --delete-excluded ' + rsync_suffix + '"' + new_snapshot_path_to + '"'
self.set_take_snapshot_message( 0, _('Take snapshot') )
self._execute( cmd, self._exec_rsync_callback )
#copy ignored directories
if not force and len( prev_snapshot_id ) > 0 and len( ignore_folders ) > 0:
for folder in ignore_folders:
prev_path = self.get_snapshot_path_to( prev_snapshot_id, folder )
new_path = self.get_snapshot_path_to( new_snapshot_id, folder )
tools.make_dirs( new_path )
cmd = "cp -alb \"%s/\"* \"%s\"" % ( prev_path, new_path )
self._execute( cmd )
#rename snapshot
snapshot_path = self.get_snapshot_path( snapshot_id )
os.system( "mv \"%s\" \"%s\"" % ( new_snapshot_path, snapshot_path ) )
if not os.path.exists( snapshot_path ):
logger.error( "Can't rename %s to %s" % ( new_snapshot_path, snapshot_path ) )
self.set_take_snapshot_message( 1, _('Can\'t rename %s to %s') % ( new_snapshot_path, snapshot_path ) )
os.system( 'sleep 2' ) #max 1 backup / second
return False
#make new folder read-only
self._execute( "chmod -R a-w \"%s\"" % snapshot_path )
return True
def main(config):
# loaders and base
loaders = Loaders(config)
base = Base(config, loaders)
# make dirs
make_dirs(config.save_images_path)
make_dirs(config.save_wp_models_path)
make_dirs(config.save_st_models_path)
make_dirs(config.save_features_path)
logger = setup_logger('adaptation_reid', config.output_path, if_train=True)
if config.mode == 'train':
if config.resume:
# automatically resume model from the latest one
if config.resume_epoch_num == 0:
start_train_epoch = 0
root, _, files = os_walk(config.save_models_path)
if len(files) > 0:
# get indexes of saved models
indexes = []
for file in files:
indexes.append(
int(file.replace('.pkl', '').split('_')[-1]))
# remove the bad-case and get available indexes
model_num = len(base.model_list)
available_indexes = copy.deepcopy(indexes)
for element in indexes:
if indexes.count(element) < model_num:
available_indexes.remove(element)
available_indexes = sorted(list(set(available_indexes)),
reverse=True)
unavailable_indexes = list(
set(indexes).difference(set(available_indexes)))
if len(available_indexes
) > 0: # resume model from the latest model
base.resume_model(available_indexes[0])
start_train_epoch = available_indexes[0] + 1
logger.info(
'Time: {}, automatically resume training from the latest step (model {})'
.format(time_now(), available_indexes[0]))
else: #
logger.info('Time: {}, there are no available models')
else:
start_train_epoch = config.resume_epoch_num
else:
start_train_epoch = 0
# main loop
for current_epoch in range(
start_train_epoch, config.warmup_reid_epoches +
config.warmup_gan_epoches + config.warmup_adaptation_epoches):
# train
if current_epoch < config.warmup_reid_epoches: # warmup reid model
results = train_an_epoch(config,
0,
loaders,
base,
current_epoch,
train_gan=True,
train_reid=True,
self_training=False,
optimize_sl_enc=True,
train_adaptation=False)
elif current_epoch < config.warmup_reid_epoches + config.warmup_gan_epoches: # warmup GAN model
results = train_an_epoch(config,
0,
loaders,
base,
current_epoch,
train_gan=True,
train_reid=False,
self_training=False,
optimize_sl_enc=False,
train_adaptation=False) # joint train
elif current_epoch < config.warmup_reid_epoches + config.warmup_gan_epoches + config.warmup_adaptation_epoches: #warmup adaptation
results = train_an_epoch(config,
0,
loaders,
base,
current_epoch,
train_gan=True,
train_reid=False,
self_training=False,
optimize_sl_enc=False,
train_adaptation=True)
print("another epoch")
logger.info('Time: {}; Epoch: {}; {}'.format(
time_now(), current_epoch, results))
# save model
if current_epoch % config.save_model_interval == 0:
base.save_model(current_epoch, True)
if current_epoch % config.test_model_interval == 0:
visualize(config, loaders, base, current_epoch)
test(config, base, loaders, epoch=0, brief=False)
total_wp_epoches = config.warmup_reid_epoches + config.warmup_gan_epoches
for iter_n in range(config.iteration_number):
src_dataset, src_dataloader, trg_dataset, trg_dataloader = loaders.get_self_train_loaders(
)
trg_labeled_dataloader = generate_labeled_dataset(
base, iter_n, src_dataset, src_dataloader, trg_dataset,
trg_dataloader)
for epoch in range(total_wp_epoches + 1, config.self_train_epoch):
results = train_an_epoch(
config,
iter_n,
loaders,
base,
epoch,
train_gan=True,
train_reid=False,
self_training=True,
optimize_sl_enc=True,
trg_labeled_loader=trg_labeled_dataloader)
logger.info('Time: {}; Epoch: {}; {}'.format(
time_now(), current_epoch, results))
if epoch % config.save_model_interval == 0:
base.save_model(iter_n * config.self_train_epoch + epoch,
False)
elif config.mode == 'test':
# resume from pre-trained model and test
base.resume_model_from_path(config.pretrained_model_path,
config.pretrained_model_epoch)
cmc, map = test(config, base, loaders, epoch=100, brief=False)
def main(config):
# init loaders and base
loaders = Loaders(config)
base = Base(config, loaders)
# make directions
make_dirs(base.output_path)
make_dirs(base.save_model_path)
make_dirs(base.save_logs_path)
make_dirs(base.save_visualize_market_path)
make_dirs(base.save_visualize_duke_path)
# init logger
logger = Logger(
os.path.join(os.path.join(config.output_path, 'logs/'), 'log.txt'))
logger('\n' * 3)
logger(config)
if config.mode == 'train': # train mode
# resume model from the resume_train_epoch
start_train_epoch = 0
# automatically resume model from the latest one
if config.auto_resume_training_from_lastest_steps:
root, _, files = os_walk(base.save_model_path)
if len(files) > 0:
# get indexes of saved models
indexes = []
for file in files:
indexes.append(int(
file.replace('.pkl', '').split('_')[-1]))
indexes = sorted(list(set(indexes)), reverse=False)
# resume model from the latest model
base.resume_model(indexes[-1])
#
start_train_epoch = indexes[-1]
logger(
'Time: {}, automatically resume training from the latest step (model {})'
.format(time_now(), indexes[-1]))
# main loop
for current_epoch in range(start_train_epoch,
config.total_train_epochs):
# save model
base.save_model(current_epoch)
# train
base.lr_scheduler.step(current_epoch)
_, results = train_an_epoch(config, base, loaders, current_epoch)
logger('Time: {}; Epoch: {}; {}'.format(time_now(),
current_epoch, results))
# test
testwithVer2(config,
logger,
base,
loaders,
'duke',
use_gcn=True,
use_gm=True)
elif config.mode == 'test': # test mode
# resume from the resume_test_epoch
if config.resume_test_path != '' and config.resume_test_epoch != 0:
base.resume_model_from_path(config.resume_test_path,
config.resume_test_epoch)
else:
assert 0, 'please set resume_test_path and resume_test_epoch '
# test
duke_map, duke_rank = testwithVer2(config,
logger,
base,
loaders,
'duke',
use_gcn=False,
use_gm=False)
logger('Time: {}, base, Dataset: Duke \nmAP: {} \nRank: {}'.format(
time_now(), duke_map, duke_rank))
duke_map, duke_rank = testwithVer2(config,
logger,
base,
loaders,
'duke',
use_gcn=True,
use_gm=False)
logger(
'Time: {}, base+gcn, Dataset: Duke \nmAP: {} \nRank: {}'.format(
time_now(), duke_map, duke_rank))
duke_map, duke_rank = testwithVer2(config,
logger,
base,
loaders,
'duke',
use_gcn=True,
use_gm=True)
logger('Time: {}, base+gcn+gm, Dataset: Duke \nmAP: {} \nRank: {}'.
format(time_now(), duke_map, duke_rank))
logger('')
elif config.mode == 'visualize': # visualization mode
# resume from the resume_visualize_epoch
if config.resume_visualize_path != '' and config.resume_visualize_epoch != 0:
base.resume_model_from_path(config.resume_visualize_path,
config.resume_visualize_epoch)
print('Time: {}, resume model from {} {}'.format(
time_now(), config.resume_visualize_path,
config.resume_visualize_epoch))
# visualization
if 'market' in config.train_dataset:
visualize_ranked_images(config, base, loaders, 'market')
elif 'duke' in config.train_dataset:
visualize_ranked_images(config, base, loaders, 'duke')
else:
assert 0
def _take_snapshot(self, snapshot_id, now, include_folders, ignore_folders,
dict, force):
#print "Snapshot: %s" % snapshot_id
#print "\tInclude: %s" % include_folders
#print "\tIgnore: %s" % ignore_folders
#print "\tDict: %s" % dict
self.set_take_snapshot_message(0, _('...'))
#snapshot_path = self.get_snapshot_path( snapshot_id )
#snapshot_path_to = self.get_snapshot_path_to( snapshot_id )
new_snapshot_id = 'new_snapshot'
new_snapshot_path = self.get_snapshot_path(new_snapshot_id)
if os.path.exists(new_snapshot_path):
self._execute("rm -rf \"%s\"" % new_snapshot_path)
if os.path.exists(new_snapshot_path):
logger.error("Can't remove directory: %s" % new_snapshot_path)
self.set_take_snapshot_message(
1,
_('Can\'t remove directory: %s') % new_snapshot_path)
os.system('sleep 2') #max 1 backup / second
return False
new_snapshot_path_to = self.get_snapshot_path_to(new_snapshot_id)
#create exclude patterns string
items = []
for exclude in self.config.get_exclude_patterns():
self._append_item_to_list("--exclude=\"%s\"" % exclude, items)
for folder in ignore_folders:
self._append_item_to_list("--exclude=\"%s\"" % folder, items)
rsync_exclude = ' '.join(items)
#create include patterns list
items = []
items2 = []
for include_folder in include_folders:
self._append_item_to_list("--include=\"%s/**\"" % include_folder,
items2)
while True:
self._append_item_to_list("--include=\"%s/\"" % include_folder,
items)
include_folder = os.path.split(include_folder)[0]
if len(include_folder) <= 1:
break
rsync_include = ' '.join(items)
rsync_include2 = ' '.join(items2)
#rsync prefix & suffix
rsync_prefix = 'rsync -a '
rsync_suffix = ' --whole-file --delete ' + rsync_include + ' ' + rsync_exclude + ' ' + rsync_include2 + ' --exclude=\"*\" / '
#update dict
if not force:
for folder in include_folders:
dict[folder] = now
self._set_last_snapshot_info(dict)
#check previous backup
snapshots = self.get_snapshots_list()
prev_snapshot_id = ''
#rsync_link_with = ''
if len(snapshots) > 0:
prev_snapshot_id = snapshots[0]
prev_snapshot_name = self.get_snapshot_display_id(prev_snapshot_id)
self.set_take_snapshot_message(
0,
_('Compare with snapshot %s') % prev_snapshot_name)
logger.info("Compare with old snapshot: %s" % prev_snapshot_id)
prev_snapshot_folder = self.get_snapshot_path_to(prev_snapshot_id)
cmd = rsync_prefix + ' -i --dry-run ' + rsync_suffix + '"' + prev_snapshot_folder + '"'
try_cmd = self._execute_output(cmd,
self._exec_rsync_compare_callback,
prev_snapshot_name)
changed = False
for line in try_cmd.split('\n'):
if len(line) < 1:
continue
if line[0] != '.':
changed = True
break
if not changed:
logger.info("Nothing changed, no back needed")
return False
#create hard links
#rsync_link_with = "--link-dest=\"%s\" " % prev_snapshot_folder
if not self._create_directory(new_snapshot_path_to):
return False
self.set_take_snapshot_message(0, _('Create hard-links'))
logger.info("Create hard-links")
if force or len(ignore_folders) == 0:
cmd = "cp -al \"%s\"* \"%s\"" % (self.get_snapshot_path_to(
prev_snapshot_id), new_snapshot_path_to)
self._execute(cmd)
else:
for folder in include_folders:
prev_path = self.get_snapshot_path_to(
prev_snapshot_id, folder)
new_path = self.get_snapshot_path_to(
new_snapshot_id, folder)
tools.make_dirs(new_path)
cmd = "cp -alb \"%s\"* \"%s\"" % (prev_path, new_path)
self._execute(cmd)
cmd = "chmod -R a+w \"%s\"" % new_snapshot_path
self._execute(cmd)
else:
if not self._create_directory(new_snapshot_path_to):
return False
#create new backup folder
#if not self._create_directory( new_snapshot_path_to ):
# logger.error( "Can't create snapshot directory: %s" % new_snapshot_path_to )
# return False
#sync changed folders
logger.info("Call rsync to take the snapshot")
#cmd = rsync_prefix + ' -v --delete-excluded --chmod=a-w ' + rsync_link_with + rsync_suffix + '"' + new_snapshot_path_to + '"'
cmd = rsync_prefix + ' -v --delete-excluded ' + rsync_suffix + '"' + new_snapshot_path_to + '"'
self.set_take_snapshot_message(0, _('Take snapshot'))
self._execute(cmd, self._exec_rsync_callback)
#copy ignored directories
if not force and len(prev_snapshot_id) > 0 and len(ignore_folders) > 0:
for folder in ignore_folders:
prev_path = self.get_snapshot_path_to(prev_snapshot_id, folder)
new_path = self.get_snapshot_path_to(new_snapshot_id, folder)
tools.make_dirs(new_path)
cmd = "cp -alb \"%s/\"* \"%s\"" % (prev_path, new_path)
self._execute(cmd)
#rename snapshot
snapshot_path = self.get_snapshot_path(snapshot_id)
os.system("mv \"%s\" \"%s\"" % (new_snapshot_path, snapshot_path))
if not os.path.exists(snapshot_path):
logger.error("Can't rename %s to %s" %
(new_snapshot_path, snapshot_path))
self.set_take_snapshot_message(
1,
_('Can\'t rename %s to %s') %
(new_snapshot_path, snapshot_path))
os.system('sleep 2') #max 1 backup / second
return False
#make new folder read-only
self._execute("chmod -R a-w \"%s\"" % snapshot_path)
return True
def train_unet_patch(self):
batch_size = 12
test_batch_size = 12
epochs = 5
if self.data in ['ips', 'melanoma']:
for data_num in [1]:#dataset
clear_session()#keras parameter 初期化
#keras用GPUを複数使う処理. なくてもいい
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(physical_devices) > 0:
for k in range(len(physical_devices)):
tf.config.experimental.set_memory_growth(physical_devices[k], True)
print('memory growth:', tf.config.experimental.get_memory_growth(physical_devices[k]))
else:
print("Not enough GPU hardware devices available")
save_path = tl.get_save_path(self.data, self.method, self.model_name,
self.patch_size, data_num)
#stage毎にmodel loadの処理
if self.stage == "stage1":
model = self.load_model()
elif self.stage == "stage2":
save_path2 = save_path
save_path = save_path+"stage2/"
model = self.load_model()
model.load_weights(save_path2+'weights/weights.h5')
elif self.stage == "stage3":
save_path2 = save_path+"stage2/"
save_path = save_path+"stage2/stage3/"
model = self.load_model()
model.load_weights(save_path2+'weights/weights.h5')
elif self.stage == "stage4":
save_path2 = save_path+"stage2/stage3/"
save_path = save_path+"stage2/stage3/stage4/"
model = self.load_model()
model.load_weights(save_path2+'weights/weights.h5')
#model.summary()
tl.make_dirs(self.data, self.method, self.model_name,
self.patch_size, data_num)
train="/home/sora/new_project/crop/dataset_%d/train/"%data_num
val="/home/sora/new_project/crop/dataset_%d/val/"%data_num
start_time = timeit.default_timer()
# train -----------------------------------------------------------
#data_loaderの設定
if self.data =="ips":
train_gen = newgenerator.ImageSequence(train,batch_size,"train",data_num)
valid_gen = newgenerator.ImageSequence(val, batch_size,"val",data_num)
if self.data =="melanoma":
train_gen = newgenerator.ImageSequence_me(train,batch_size,"train",data_num)
valid_gen = newgenerator.ImageSequence_me(val, batch_size,"val",data_num)
os.makedirs(save_path + 'weights', exist_ok=True)
#val_lossを見てweightを保存するように設定
model_checkpoint = ModelCheckpoint(
filepath=os.path.join(save_path,'weights', 'weights.h5'),
monitor="val_loss",
verbose=1,
save_best_only=True)
#学習parameterをhistryに格納
history = model.fit_generator(generator=train_gen,
epochs=epochs,
steps_per_epoch=len(train_gen),
verbose=1,callbacks=[model_checkpoint],
validation_data=valid_gen,
validation_steps=len(valid_gen),
max_queue_size=5)
train_time = timeit.default_timer() - start_time
#学習parameter保存
tl.save_parameter(save_path, self.model_name, self.patch_size,
lr, epochs,
batch_size, train_time)
#lossをplot
tl.draw_train_loss_plot(history, save_path)
del train_gen,valid_gen,history,model_checkpoint,model
gc.collect()
def test_make_dirs(self):
self.assertFalse(tools.make_dirs('/'))
self.assertTrue(tools.make_dirs(os.getcwd()))
path = '/tmp/foobar{}'.format(random.randrange(100, 999))
self.assertTrue(tools.make_dirs(path))
os.rmdir(path)
def __init__(self):
self._APP_PATH = os.path.abspath(os.path.dirname(__file__))
self._DOC_PATH = '/usr/share/doc/backintime'
if os.path.exists(os.path.join(self._APP_PATH, 'LICENSE')):
self._DOC_PATH = self._APP_PATH
self._GLOBAL_CONFIG_PATH = '/etc/backintime/config2'
HOME_FOLDER = os.path.expanduser('~')
self._LOCAL_DATA_FOLDER = os.path.join(
os.getenv('XDG_DATA_HOME',
'$HOME/.local/share').replace('$HOME', HOME_FOLDER),
'backintime')
self._LOCAL_CONFIG_FOLDER = os.path.join(
os.getenv('XDG_CONFIG_HOME',
'$HOME/.config').replace('$HOME', HOME_FOLDER),
'backintime')
#self._LOCAL_CONFIG_FOLDER = os.path.expanduser( '~/.config/backintime' )
tools.make_dirs(self._LOCAL_CONFIG_FOLDER)
tools.make_dirs(self._LOCAL_DATA_FOLDER)
self._LOCAL_CONFIG_PATH = os.path.join(self._LOCAL_CONFIG_FOLDER,
'config2')
self.load(self._GLOBAL_CONFIG_PATH)
self.append(self._LOCAL_CONFIG_PATH)
OLD_CONFIG_PATH = os.path.join(self._LOCAL_CONFIG_FOLDER, 'config')
if os.path.exists(OLD_CONFIG_PATH):
#import old config
old_config = configfile.ConfigFile()
old_config.load(OLD_CONFIG_PATH)
dict = {
'BASE_BACKUP_PATH': 'snapshots.path',
'INCLUDE_FOLDERS': 'snapshots.include_folders',
'EXCLUDE_PATTERNS': 'snapshots.exclude_patterns',
'AUTOMATIC_BACKUP': 'snapshots.automatic_backup_mode',
'REMOVE_OLD_BACKUPS': 'snapshots.remove_old_snapshots.enabled',
'REMOVE_OLD_BACKUPS_VALUE':
'snapshots.remove_old_snapshots.value',
'REMOVE_OLD_BACKUPS_UNIT':
'snapshots.remove_old_snapshots.unit',
'MIN_FREE_SPACE': 'snapshots.min_free_space.enabled',
'MIN_FREE_SPACE_VALUE': 'snapshots.min_free_space.value',
'MIN_FREE_SPACE_UNIT': 'snapshots.min_free_space.unit',
'DONT_REMOVE_NAMED_SNAPSHOTS':
'snapshots.dont_remove_named_snapshots',
'DIFF_CMD': 'gnome.diff.cmd',
'DIFF_CMD_PARAMS': 'gnome.diff.params',
'LAST_PATH': 'gnome.last_path',
'MAIN_WINDOW_X': 'gnome.main_window.x',
'MAIN_WINDOW_Y': 'gnome.main_window.y',
'MAIN_WINDOW_WIDTH': 'gnome.main_window.width',
'MAIN_WINDOW_HEIGHT': 'gnome.main_window.height',
'MAIN_WINDOW_HPANED1_POSITION': 'gnome.main_window.hpaned1',
'MAIN_WINDOW_HPANED2_POSITION': 'gnome.main_window.hpaned2'
}
if self.get_if_dont_exists(dict, old_config):
self.save()
os.system("rm \"%s\"" % OLD_CONFIG_PATH)
def main(config):
# init loaders and base
loaders = Loaders(config)
base = Base(config, loaders)
# make directions
make_dirs(base.output_path)
make_dirs(base.save_model_path)
make_dirs(base.save_logs_path)
make_dirs(base.save_visualize_market_path)
make_dirs(base.save_visualize_duke_path)
# init logger
logger = Logger(
os.path.join(os.path.join(config.output_path, 'logs/'), 'log.txt'))
logger('\n' * 3)
logger(config)
if config.mode == 'train': # train mode
# resume model from the resume_train_epoch
if config.resume_train_epoch >= 0:
base.resume_model(config.resume_train_epoch)
start_train_epoch = config.resume_train_epoch
else:
start_train_epoch = 0
# automatically resume model from the latest one
if config.auto_resume_training_from_lastest_steps:
root, _, files = os_walk(base.save_model_path)
if len(files) > 0:
# get indexes of saved models
indexes = []
for file in files:
indexes.append(int(
file.replace('.pkl', '').split('_')[-1]))
indexes = sorted(list(set(indexes)), reverse=False)
# resume model from the latest model
base.resume_model(indexes[-1])
#
start_train_epoch = indexes[-1]
logger(
'Time: {}, automatically resume training from the latest step (model {})'
.format(time_now(), indexes[-1]))
# main loop
for current_epoch in range(start_train_epoch,
config.total_train_epochs):
# save model
base.save_model(current_epoch)
# train
base.lr_scheduler.step(current_epoch)
_, results = train_an_epoch(config, base, loaders)
logger('Time: {}; Epoch: {}; {}'.format(time_now(),
current_epoch, results))
# test
if (current_epoch + 1) % 40 == 0 and current_epoch + 1 >= 0:
market_map, market_rank = test(config, base, loaders, 'market')
duke_map, duke_rank = test(config, base, loaders, 'duke')
logger(
'Time: {}, Dataset: Market \nmAP: {} \nRank: {}'.format(
time_now(), market_map, market_rank))
logger('Time: {}, Dataset: Duke \nmAP: {} \nRank: {}'.format(
time_now(), duke_map, duke_rank))
logger('')
elif config.mode == 'test': # test mode
# resume from the resume_test_epoch
if config.resume_test_epoch >= 0:
base.resume_model(config.resume_test_epoch)
# test
market_map, market_rank = test(config, base, loaders, 'market')
duke_map, duke_rank = test(config, base, loaders, 'duke')
logger('Time: {}, Dataset: Market \nmAP: {} \nRank: {}'.format(
time_now(), market_map, market_rank))
logger('Time: {}, Dataset: Duke \nmAP: {} \nRank: {}'.format(
time_now(), duke_map, duke_rank))
logger('')
elif config.mode == 'visualize': # visualization mode
# resume from the resume_visualize_epoch
if config.resume_visualize_epoch >= 0:
base.resume_model(config.resume_visualize_epoch)
# visualization
visualize_ranking_list(config, base, loaders, 'market')
visualize_ranking_list(config, base, loaders, 'duke')