def init_tables(self):
db = self.db
# person group table
pgSchema = [Field('gid', 'CHAR(255)', True, True, None),
Field('name', 'TEXT', True, False, None),
Field('user_data', 'TEXT', False, False, None)]
self.tables['PersonGroup'] = Table(db, 'PersonGroup', pgSchema)
# person table
pSchema = [Field('pid', 'CHAR(255)', True, True, None),
Field('name', 'TEXT', True, False, None),
Field('alias', 'TEXT', True, False, None),
Field('gid', 'CHAR(255)', True, False, ForeignKey(self.tables['PersonGroup'].name, 'gid'))]
self.tables['Person'] = Table(db, 'Person', pSchema)
# face table
fSchema = [Field('fid', 'CHAR(255)', True, True, None),
Field('image', 'TEXT', True, False, None),
Field('pid', 'CHAR(255)', True, False, ForeignKey(self.tables['Person'].name, 'pid'))]
self.tables['Face'] = Table(db, 'Face', fSchema)
# event table
eSchema = [Field('name', 'TEXT', True, False, None),
Field('description', 'TEXT', True, False, None),
Field('timestamp', 'BIGINT', True, False, None)]
self.tables['Event'] = Table(db, 'Event', eSchema)
# clockin table
cSchema = [Field('timestamp', 'BIGINT', True, False, None),
Field('eid', 'INT', True, False, ForeignKey(self.tables['Event'].name, 'id')),
Field('pid', 'CHAR(255)', True, False, ForeignKey(self.tables['Person'].name, 'pid'))]
self.tables['ClockIn'] = Table(db, 'ClockIn', cSchema)
class Label(Model, CRUDMixin):
__tablename__ = "labels"
id = Column(Integer, primary_key=True)
text = Column(String(250))
videoid = Column(Integer, ForeignKey(Video.id))
video = relationship(Video,
backref=backref("labels", cascade="all,delete"))
class AttributeAnnotation(Model, CRUDMixin):
__tablename__ = "attribute_annotations"
id = Column(Integer, primary_key=True)
pathid = Column(Integer, ForeignKey(Path.id))
path = relationship(Path,
backref=backref("attributes", cascade="all,delete"))
attributeid = Column(Integer, ForeignKey(Attribute.id))
attribute = relationship(Attribute)
frame = Column(Integer)
value = Column(Boolean, default=False)
def __repr__(self):
return ("AttributeAnnotation(pathid = {0}, "
"attributeid = {1}, "
"frame = {2}, "
"value = {3})").format(self.pathid, self.attributeid,
self.frame, self.value)
class Attribute(Model, CRUDMixin):
__tablename__ = "attributes"
id = Column(Integer, primary_key=True)
text = Column(String(250))
labelid = Column(Integer, ForeignKey(Label.id))
label = relationship(Label,
backref=backref("attributes", cascade="all,delete"))
def __str__(self):
return self.text
class Document(TableBase):
"""An object refer to an actual plugin-managed document.
Every actual document is not only saved in plugins' table, but also has an entry here, so that we can easily get all documents belong to a specific user."""
__tablename__ = 'document'
def __init__(self, plugin_name: str, doc: PluginDocument):
super().__init__()
self.owner = doc.owner
self.plugin_name = plugin_name
self.plugin_document_id = doc.id
document_id = Column(Integer(), primary_key=True)
owner = Column(Integer(), ForeignKey('user.id'))
plugin_name = Column(String(256))
plugin_document_id = Column(Integer())
class FeatureOfficial(TableBase):
__tablename__ = 'parts_seq_features'
feature_id = Column(INTEGER(11), primary_key=True)
feature_type = Column(VARCHAR(200))
start_pos = Column(INTEGER(11))
end_pos = Column(INTEGER(11))
label = Column(VARCHAR(200))
part_id = Column(INTEGER(11), ForeignKey('parts.part_id'))
type = Column(VARCHAR(200))
label2 = Column(VARCHAR(200))
mark = Column(INTEGER(11))
old = Column(INTEGER(11))
reverse = Column(INTEGER(11))
def __set_by_kwargs__(self, **kwargs):
for k, v in kwargs.items():
setattr(self, k, v)
class Box(Model, CRUDMixin):
__tablename__ = "boxes"
id = Column(Integer, primary_key=True)
pathid = Column(Integer, ForeignKey(Path.id))
path = relationship(Path, backref=backref("boxes", cascade="all,delete"))
xtl = Column(Integer)
ytl = Column(Integer)
xbr = Column(Integer)
ybr = Column(Integer)
frame = Column(Integer)
occluded = Column(Boolean, default=False)
outside = Column(Boolean, default=False)
generated = Column(Boolean, default=False)
def frombox(self, box):
self.xtl = box.xtl
self.xbr = box.xbr
self.ytl = box.ytl
self.ybr = box.ybr
self.frame = box.frame
self.occluded = box.occluded
self.outside = box.lost
self.generated = box.generated
def getbox(self):
vb = vision.Box(self.xtl,
self.ytl,
self.xbr,
self.ybr,
self.frame,
self.outside,
self.occluded,
0,
generated=self.generated)
# print 'frame id: {}, generated: {}'.format(vb.frame, vb.generated)
return vb
class Segment(Model, CRUDMixin):
__tablename__ = "segments"
id = Column(Integer, primary_key=True)
videoid = Column(Integer, ForeignKey(Video.id))
video = relationship(Video,
backref=backref("segments", cascade="all,delete"))
start = Column(Integer)
stop = Column(Integer)
@property
def paths(self):
paths = []
for job in self.jobs:
if job.useful:
paths.extend(job.paths)
return paths
@property
def cost(self):
cost = 0
for job in self.jobs:
cost += job.cost
return cost
class Video(Model, CRUDMixin):
__tablename__ = "videos"
id = Column(Integer, primary_key=True)
slug = Column(String(250), index=True)
width = Column(Integer)
height = Column(Integer)
totalframes = Column(Integer)
location = Column(String(250))
skip = Column(Integer, default=0, nullable=False)
perobjectbonus = Column(Float, default=0)
completionbonus = Column(Float, default=0)
trainwithid = Column(Integer, ForeignKey(id))
trainwith = relationship("Video", remote_side=id)
isfortraining = Column(Boolean, default=False)
blowradius = Column(Integer, default=5)
homographylocation = Column(String(250), nullable=True, default=None)
pointmode = Column(Boolean, default=False)
orig_file_path = Column(String(550))
extract_path = Column(String(550))
# many to one
owner_id = Column(Integer, ForeignKey("users.id"))
# many to many
# classifier_id = Column(Integer, ForeignKey("classifiers.id"))
# many to many
evaluation_sets = relationship(
"EvaluationSet",
secondary=video_evaluation_association_table,
back_populates='videos')
def __getitem__(self, frame):
path = Video.getframepath(frame, self.location)
return Image.open(path)
@classmethod
def getframepath(cls, frame, base=None):
l1 = frame / 10000
l2 = frame / 100
path = "{0}/{1}/{2}.jpg".format(l1, l2, frame)
if base is not None:
path = "{0}/{1}".format(base, path)
return path
@property
def cost(self):
cost = 0
for segment in self.segments:
cost += segment.cost
return cost
@property
def numjobs(self):
count = 0
for segment in self.segments:
for job in segment.jobs:
count += 1
return count
@property
def numcompleted(self):
count = 0
for segment in self.segments:
for job in segment.jobs:
if job.completed:
count += 1
return count
def gethomography(self):
if self.homographylocation is not None:
path = os.path.join(self.homographylocation, "homography.npy")
if os.path.exists(path):
return np.load(path)
return None
def nextid(self):
userids = [
path.userid for segment in self.segments for path in segment.paths
]
if len(userids) == 0:
return 0
return max(userids) + 1
def getsegmentneighbors(self, segment):
start, stop = segment.start, segment.stop
prevseg, nextseg = None, None
for seg in self.segments:
if start <= seg.stop < stop:
prevseg = seg
elif start < seg.start <= stop:
nextseg = seg
return prevseg, nextseg
class Path(Model, CRUDMixin):
__tablename__ = "paths"
id = Column(Integer, primary_key=True)
jobid = Column(Integer, ForeignKey(Job.id))
job = relationship(Job, backref=backref("paths", cascade="all,delete"))
labelid = Column(Integer, ForeignKey(Label.id))
label = relationship(Label, cascade="none", backref="paths")
userid = Column(Integer, default=0)
done = Column(Boolean, default=False)
interpolatecache = None
def getboxes(self,
interpolate=False,
bind=False,
label=False,
groundplane=False):
result = [x.getbox() for x in self.boxes]
result.sort(key=lambda x: x.frame)
if groundplane:
homography = None
with open(
os.path.join(self.job.segment.video.homographylocation,
"homography.npy"), "r") as f:
homography = np.load(f)
for i in range(len(result)):
t = homography.dot(np.array([result[i].xbr, result[i].ybr, 1]))
result[i].xbr = float(t[0]) / t[2]
result[i].ybr = float(t[1]) / t[2]
result[i].xtl = result[i].xbr - 5
result[i].ytl = result[i].ybr - 5
if interpolate:
if not self.interpolatecache:
self.interpolatecache = LinearFill(result)
result = self.interpolatecache
if bind:
result = Path.bindattributes(self.attributes, result)
if label:
for box in result:
box.attributes.insert(0, self.label.text)
return result
@classmethod
def bindattributes(cls, attributes, boxes):
attributes = sorted(attributes, key=lambda x: x.frame)
byid = {}
for attribute in attributes:
if attribute.attributeid not in byid:
byid[attribute.attributeid] = []
byid[attribute.attributeid].append(attribute)
for attributes in byid.values():
for prev, cur in zip(attributes, attributes[1:]):
if prev.value:
for box in boxes:
if prev.frame <= box.frame < cur.frame:
if prev.attribute not in box.attributes:
box.attributes.append(prev.attribute)
last = attributes[-1]
if last.value:
for box in boxes:
if last.frame <= box.frame:
if last.attribute not in box.attributes:
box.attributes.append(last.attribute)
return boxes
def __repr__(self):
return "<Path {0}>".format(self.id)
class Job(Model, CRUDMixin):
__tablename__ = "jobs"
__mapper_args__ = {"polymorphic_identity": "jobs"}
id = Column(Integer, primary_key=True)
segmentid = Column(Integer, ForeignKey(Segment.id))
segment = relationship(Segment,
backref=backref("jobs", cascade="all,delete"))
istraining = Column(Boolean, default=False)
hitid = Column(String(30))
assignmentid = Column(String(30))
ready = Column(Boolean, default=True, index=True)
published = Column(Boolean, default=False, index=True)
completed = Column(Boolean, default=False, index=True)
compensated = Column(Boolean, default=False, index=True)
accepted = Column(Boolean, default=False, index=True)
validated = Column(Boolean, default=False, index=True)
useful = Column(Boolean, default=True)
def publish(self):
if self.published:
raise RuntimeError("HIT cannot be published because it has already"
" been published.")
# resp = api.server.createhit(
# title = self.group.title,
# description = self.group.description,
# amount = self.group.cost,
# duration = self.group.duration,
# lifetime = self.group.lifetime,
# keywords = self.group.keywords,
# height = self.group.height,
# minapprovedamount = self.group.minapprovedamount,
# minapprovedpercent = self.group.minapprovedpercent,
# countrycode = self.group.countrycode,
# page = self.getpage())
# resp = api.server.createhit(
# title = 'title',
# description = 'description',
# amount = None,
# duration = None,
# lifetime = None,
# page = self.getpage())
# self.hitid = resp.hitid
self.hitid = 'offline'
self.published = True
logger.debug("Published HIT {0}".format(self.hitid))
## TODO get page
def getpage(self):
page = '/index.html'
return "{0}?id={1}".format(page, self.id)
def markastraining(self):
"""
Marks this job as the result of a training run. This will automatically
swap this job over to the training video and produce a replacement.
"""
replacement = Job(segment=self.segment, group=self.group)
self.segment = self.segment.video.trainwith.segments[0]
self.group = self.segment.jobs[0].group
self.istraining = True
logger.debug("Job is now training and replacement built")
return replacement
def invalidate(self):
"""
Invalidates this path because it is poor work. The new job will be
respawned automatically for different workers to complete.
"""
self.useful = False
# is this a training task? if yes, we don't want to respawn
if not self.istraining:
return Job(segment=self.segment, group=self.group)
def check(self):
if len(self.paths) > config.maxobjects:
raise RuntimeError("Job {0} has too many objects to process "
"payment. Please verify this is not an "
"attempt to hack us and increase the "
"limit in config.py".format(self.id))
return True
def offlineurl(self, localhost):
return "{0}{1}&hitId=offline".format(localhost, self.getpage())
@property
def trainingjob(self):
return self.segment.video.trainwith.segments[0].jobs[0]
@property
def cost(self):
if not self.completed:
return 0
return self.bonusamount + self.group.cost + self.donatedamount
def __iter__(self):
return self.paths
import numpy as np
import vision
from PIL import Image
from database import Column, Integer, Float, String, Boolean
from database import Model, CRUDMixin, ForeignKey, Table
from database import relationship, backref
from vision.track.interpolation import LinearFill
from meta_table import video_evaluation_association_table
import config
logger = logging.getLogger("vatic.models")
boxes_attributes = Table(
"boxes2attributes", Column("box_id", Integer, ForeignKey("boxes.id")),
Column("attribute_id", Integer, ForeignKey("attributes.id")))
class Video(Model, CRUDMixin):
__tablename__ = "videos"
id = Column(Integer, primary_key=True)
slug = Column(String(250), index=True)
width = Column(Integer)
height = Column(Integer)
totalframes = Column(Integer)
location = Column(String(250))
skip = Column(Integer, default=0, nullable=False)
perobjectbonus = Column(Float, default=0)
completionbonus = Column(Float, default=0)
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from database import Column, Integer, Float, String, Boolean
from database import Model, ForeignKey, Table
from database import relationship, backref
video_evaluation_association_table = Table(
'video_evaluation_association',
Column('evaluation_sets_id', Integer, ForeignKey('evaluation_sets.id')),
Column('videos_id', Integer, ForeignKey('videos.id')))
classifier_evaluation_association_table = Table(
'classifier_evaluation_association',
Column('evaluation_sets_id', Integer, ForeignKey('evaluation_sets.id')),
Column('classifiers_id', Integer, ForeignKey('classifiers.id')))
video_classifier_association_table = Table(
'video_classifier_association',
Column('videos_id', Integer, ForeignKey('videos.id')),
Column('classifiers_id', Integer, ForeignKey('classifiers.id')))
class BiobrickUser(TableBase):
__tablename__ = 'parts_by_user'
part_id = Column(INTEGER(11), primary_key=True)
ok = Column(TINYINT(1))
part_name = Column(VARCHAR(255))
short_desc = Column(VARCHAR(100))
description = Column(LONGTEXT)
part_type = Column(VARCHAR(20))
author = Column(VARCHAR(200))
owning_group_id = Column(INTEGER(11))
status = Column(VARCHAR(20))
dominant = Column(TINYINT(1))
informational = Column(TINYINT(1))
discontinued = Column(INTEGER(11))
part_status = Column(VARCHAR(40))
sample_status = Column(VARCHAR(40))
p_status_cache = Column(VARCHAR(1000))
s_status_cache = Column(VARCHAR(1000))
creation_date = Column(DATE)
m_datetime = Column(DATETIME)
m_user_id = Column(INTEGER(11))
uses = Column(INTEGER(11))
doc_size = Column(INTEGER(11))
works = Column(VARCHAR(10))
favorite = Column(INTEGER(4))
specified_u_list = Column(LONGTEXT)
deep_u_list = Column(LONGTEXT)
deep_count = Column(INTEGER(11))
ps_string = Column(LONGTEXT)
scars = Column(VARCHAR(20))
default_scars = Column(VARCHAR(20))
owner_id = Column(INTEGER(11))
group_u_list = Column(LONGTEXT)
has_barcode = Column(TINYINT(1))
notes = Column(LONGTEXT)
sources = Column(TEXT)
nickname = Column(VARCHAR(10))
categories = Column(VARCHAR(500))
sequence = Column(LONGTEXT)
sequence_sha1 = Column(BINARY(20))
sequence_update = Column(INTEGER(11))
seq_edit_cache = Column(LONGTEXT)
review_result = Column(DOUBLE(12, 0))
review_count = Column(INTEGER(4))
review_total = Column(INTEGER(4))
flag = Column(INTEGER(4))
sequence_length = Column(INTEGER(11))
temp_1 = Column(INTEGER(11))
temp_2 = Column(INTEGER(11))
temp_3 = Column(INTEGER(11))
temp4 = Column(INTEGER(11))
rating = Column(INTEGER(11))
owner = Column(Integer, ForeignKey('user.user_id'))
def __set_by_kwargs__(self, **kwargs):
for k, v in kwargs.items():
setattr(self, k, v)
def __get_info__(self):
values = {}
for k in dir(self):
if k.startswith('_'):
continue
values[k] = getattr(self, k)
features = []
for feature in session.query(BioBrickFeature).filter(
BioBrickFeature.part_id == self):
features.append({})
for k in dir(feature):
if k.startswith('_'):
continue
features[-1][k] = getattr(feature, k)
values['features'] = features
return values
def owner(cls):
return Column(Integer(), ForeignKey('user.id'))
