# -*- coding: utf-8 -*-
"""
DEPRICATE
Displays the matching graph of individuals
WindowsDepends:
pip install networkx
wget http://www.graphviz.org/pub/graphviz/stable/windows/graphviz-2.38.msi
graphviz-2.38.msi
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import six
import utool as ut
import vtool as vt
from wbia import dtool
import numpy as np # NOQA
import itertools
from wbia.plottool.abstract_interaction import AbstractInteraction
import wbia.plottool as pt
from wbia.algo.graph.state import POSTV, NEGTV, INCMP
# import sys
# from os.path import join
try:
import networkx as nx
except ImportError as ex:
ut.printex(ex, 'Cannot import networkx. pip install networkx', iswarning=True)
(print, rrr, profile) = ut.inject2(__name__)
[docs]def get_name_rowid_edges_from_nids(ibs, nids):
aids_list = ibs.get_name_aids(nids)
import itertools
unflat_edges = (list(itertools.product(aids, aids)) for aids in aids_list)
aid_pairs = [tup for tup in ut.iflatten(unflat_edges) if tup[0] != tup[1]]
aids1 = ut.get_list_column(aid_pairs, 0)
aids2 = ut.get_list_column(aid_pairs, 1)
return aids1, aids2
[docs]def get_name_rowid_edges_from_aids(ibs, aid_list):
aids_list, nids = ibs.group_annots_by_name(aid_list)
# aids_list = ibs.get_name_aids(nids)
import itertools
unflat_edges = (list(itertools.product(aids, aids)) for aids in aids_list)
aid_pairs = [tup for tup in ut.iflatten(unflat_edges) if tup[0] != tup[1]]
aids1 = ut.get_list_column(aid_pairs, 0)
aids2 = ut.get_list_column(aid_pairs, 1)
return aids1, aids2
[docs]def make_netx_graph_from_aidpairs(ibs, aids1, aids2, unique_aids=None):
# Enumerate annotmatch properties
import numpy as np # NOQA
# rng = np.random.RandomState(0)
# edge_props = {
# 'weight': rng.rand(len(aids1)),
# #'reviewer_confidence': rng.rand(len(aids1)),
# #'algo_confidence': rng.rand(len(aids1)),
# }
# edge_keys = list(edge_props.keys())
# edge_vals = ut.dict_take(edge_props, edge_keys)
if unique_aids is None:
unique_aids = list(set(aids1 + aids2))
# Make a graph between the chips
nodes = list(zip(unique_aids))
edges = list(zip(aids1, aids2))
# , *edge_vals))
node_lbls = [('aid', 'int')]
# edge_lbls = [('weight', 'float')]
# Make a graph between the chips
netx_nodes = [
(ntup[0], {key[0]: val for (key, val) in zip(node_lbls, ntup[1:])})
for ntup in iter(nodes)
]
netx_edges = [(etup[0], etup[1], {}) for etup in iter(edges)]
# netx_edges = [(etup[0], etup[1], {key[0]: val for (key, val) in zip(edge_lbls, etup[2:])})
# for etup in iter(edges)]
graph = nx.DiGraph()
graph.add_nodes_from(netx_nodes)
graph.add_edges_from(netx_edges)
# import wbia.plottool as pt
# nx.set_edge_attributes(graph, name='color', values=pt.DARK_ORANGE)
return graph
[docs]def ensure_names_are_connected(graph, aids_list):
aug_graph = graph.copy().to_undirected()
orig_edges = aug_graph.edges()
unflat_edges = [list(itertools.product(aids, aids)) for aids in aids_list]
aid_pairs = [tup for tup in ut.iflatten(unflat_edges) if tup[0] != tup[1]]
new_edges = ut.setdiff_ordered(aid_pairs, aug_graph.edges())
preweighted_edges = nx.get_edge_attributes(aug_graph, 'weight')
if preweighted_edges:
orig_edges = ut.setdiff(orig_edges, list(preweighted_edges.keys()))
aug_graph.add_edges_from(new_edges)
# Ensure the largest possible set of original edges is in the MST
nx.set_edge_attributes(
aug_graph, name='weight', values=dict([(edge, 1.0) for edge in new_edges])
)
nx.set_edge_attributes(
aug_graph, name='weight', values=dict([(edge, 0.1) for edge in orig_edges])
)
for cc_sub_graph in nx.connected_component_subgraphs(aug_graph):
mst_sub_graph = nx.minimum_spanning_tree(cc_sub_graph)
for edge in mst_sub_graph.edges():
redge = edge[::-1]
if not (graph.has_edge(*edge) or graph.has_edge(*redge)):
graph.add_edge(*redge, attr_dict={})
[docs]def make_netx_graph_from_aid_groups(
ibs,
aids_list,
only_reviewed_matches=True,
invis_edges=None,
ensure_edges=None,
temp_nids=None,
allow_directed=False,
):
r"""
Args:
ibs (wbia.IBEISController): image analysis api
aids_list (list):
Example:
>>> # DISABLE_DOCTEST
>>> from wbia.viz.viz_graph import * # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids_list = [[1, 2, 3, 4], [5, 6, 7]]
>>> invis_edges = [(1, 5)]
>>> only_reviewed_matches = True
>>> graph = make_netx_graph_from_aid_groups(ibs, aids_list,
>>> only_reviewed_matches,
>>> invis_edges)
>>> list(nx.connected_components(graph.to_undirected()))
"""
# aids_list, nid_list = ibs.group_annots_by_name(aid_list)
unique_aids = list(ut.flatten(aids_list))
# grouped version
unflat_edges = (list(itertools.product(aids, aids)) for aids in aids_list)
aid_pairs = [tup for tup in ut.iflatten(unflat_edges) if tup[0] != tup[1]]
aids1 = ut.get_list_column(aid_pairs, 0)
aids2 = ut.get_list_column(aid_pairs, 1)
if only_reviewed_matches:
annotmatch_rowids = ibs.get_annotmatch_rowid_from_undirected_superkey(
aids1, aids2
)
annotmatch_rowids = ut.filter_Nones(annotmatch_rowids)
aids1 = ibs.get_annotmatch_aid1(annotmatch_rowids)
aids2 = ibs.get_annotmatch_aid2(annotmatch_rowids)
graph = make_netx_graph_from_aidpairs(ibs, aids1, aids2, unique_aids=unique_aids)
if ensure_edges is not None:
if ensure_edges == 'all':
ensure_edges = list(ut.upper_diag_self_prodx(list(graph.nodes())))
ensure_edges_ = []
for edge in ensure_edges:
edge = tuple(edge)
redge = tuple(edge[::-1]) # HACK
if graph.has_edge(*edge):
ensure_edges_.append(edge)
pass
# nx.set_edge_attributes(graph, name='weight', values={edge: .001})
elif (not allow_directed) and graph.has_edge(*redge):
ensure_edges_.append(redge)
# nx.set_edge_attributes(graph, name='weight', values={redge: .001})
pass
else:
ensure_edges_.append(edge)
# graph.add_edge(*edge, weight=.001)
graph.add_edge(*edge)
if temp_nids is None:
unique_nids = ibs.get_annot_nids(list(graph.nodes()))
else:
# HACK
unique_nids = [1] * len(list(graph.nodes()))
# unique_nids = temp_nids
nx.set_node_attributes(graph, name='nid', value=ut.dzip(graph.nodes(), unique_nids))
import wbia.plottool as pt
ensure_names_are_connected(graph, aids_list)
# Color edges by nid
color_by_nids(graph, unique_nids=unique_nids)
if invis_edges:
for edge in invis_edges:
if graph.has_edge(*edge):
nx.set_edge_attributes(graph, name='style', values={edge: 'invis'})
nx.set_edge_attributes(graph, name='invisible', values={edge: True})
else:
graph.add_edge(*edge, style='invis', invisible=True)
# Hack color images orange
if ensure_edges:
nx.set_edge_attributes(
graph,
name='color',
values={tuple(edge): pt.ORANGE for edge in ensure_edges_},
)
return graph
[docs]def ensure_graph_nid_labels(graph, unique_nids=None, ibs=None):
if unique_nids is None:
unique_nids = ibs.get_annot_nids(list(graph.nodes()))
nodeattrs = dict(zip(graph.nodes(), unique_nids))
ut.nx_set_default_node_attributes(graph, 'nid', nodeattrs)
[docs]def color_by_nids(graph, unique_nids=None, ibs=None, nid2_color_=None):
""" Colors edges and nodes by nid """
# TODO use ut.color_nodes
import wbia.plottool as pt
ensure_graph_nid_labels(graph, unique_nids, ibs=ibs)
node_to_nid = nx.get_node_attributes(graph, 'nid')
unique_nids = ut.unique(node_to_nid.values())
ncolors = len(unique_nids)
if (ncolors) == 1:
unique_colors = [pt.UNKNOWN_PURP]
else:
if nid2_color_ is not None:
unique_colors = pt.distinct_colors(ncolors + len(nid2_color_) * 2)
else:
unique_colors = pt.distinct_colors(ncolors)
# Find edges and aids strictly between two nids
nid_to_color = dict(zip(unique_nids, unique_colors))
if nid2_color_ is not None:
# HACK NEED TO ENSURE COLORS ARE NOT REUSED
nid_to_color.update(nid2_color_)
edge_aids = list(graph.edges())
edge_nids = ut.unflat_take(node_to_nid, edge_aids)
flags = [nids[0] == nids[1] for nids in edge_nids]
flagged_edge_aids = ut.compress(edge_aids, flags)
flagged_edge_nids = ut.compress(edge_nids, flags)
flagged_edge_colors = [nid_to_color[nids[0]] for nids in flagged_edge_nids]
edge_to_color = dict(zip(flagged_edge_aids, flagged_edge_colors))
node_to_color = ut.map_dict_vals(ut.partial(ut.take, nid_to_color), node_to_nid)
nx.set_edge_attributes(graph, name='color', values=edge_to_color)
nx.set_node_attributes(graph, name='color', values=node_to_color)
[docs]def augment_graph_mst(ibs, graph):
import wbia.plottool as pt
# spantree_aids1_ = []
# spantree_aids2_ = []
# Add edges between all names
aid_list = list(graph.nodes())
aug_digraph = graph.copy()
# Change all weights in initial graph to be small (likely to be part of mst)
nx.set_edge_attributes(aug_digraph, name='weight', values=0.0001)
aids1, aids2 = get_name_rowid_edges_from_aids(ibs, aid_list)
if False:
# Weight edges in the MST based on tenative distances
# Get tentative node positions
initial_pos = pt.get_nx_layout(graph.to_undirected(), 'graphviz')['node_pos']
# initial_pos = pt.get_nx_layout(graph.to_undirected(), 'agraph')['node_pos']
edge_pts1 = ut.dict_take(initial_pos, aids1)
edge_pts2 = ut.dict_take(initial_pos, aids2)
edge_pts1 = vt.atleast_nd(np.array(edge_pts1, dtype=np.int32), 2)
edge_pts2 = vt.atleast_nd(np.array(edge_pts2, dtype=np.int32), 2)
edge_weights = vt.L2(edge_pts1, edge_pts2)
else:
edge_weights = [1.0] * len(aids1)
# Create implicit fully connected (by name) graph
aug_edges = [(a1, a2, {'weight': w}) for a1, a2, w in zip(aids1, aids2, edge_weights)]
aug_digraph.add_edges_from(aug_edges)
# Determine which edges need to be added to
# make original graph connected by name
aug_graph = aug_digraph.to_undirected()
for cc_sub_graph in nx.connected_component_subgraphs(aug_graph):
mst_sub_graph = nx.minimum_spanning_tree(cc_sub_graph)
mst_edges = mst_sub_graph.edges()
for edge in mst_edges:
redge = edge[::-1]
# attr_dict = {'color': pt.DARK_ORANGE[0:3]}
attr_dict = {'color': pt.BLACK[0:3]}
if not (graph.has_edge(*edge) or graph.has_edge(*redge)):
graph.add_edge(*redge, attr_dict=attr_dict)
[docs]def ensure_node_images(ibs, graph):
node_to_aid = nx.get_node_attributes(graph, 'aid')
node_list = sorted(list(graph.nodes()))
aid_list = [node_to_aid.get(node, node) for node in node_list]
# aid_list = sorted(list(graph.nodes()))
imgpath_list = ibs.depc_annot.get_property(
'chips', aid_list, 'img', config=dict(dim_size=200), read_extern=False
)
nx.set_node_attributes(graph, name='image', values=dict(zip(node_list, imgpath_list)))
if True:
nx.set_node_attributes(graph, name='shape', values='rect')
[docs]def viz_netx_chipgraph(
ibs,
graph,
fnum=None,
use_image=False,
layout=None,
zoom=None,
prog='neato',
as_directed=False,
augment_graph=True,
layoutkw=None,
framewidth=True,
**kwargs,
):
r"""
DEPRICATE or improve
Args:
ibs (IBEISController): wbia controller object
graph (nx.DiGraph):
fnum (int): figure number(default = None)
use_image (bool): (default = False)
zoom (float): (default = 0.4)
Returns:
?: pos
CommandLine:
python -m wbia --tf viz_netx_chipgraph --show
Cand:
wbia review_tagged_joins --save figures4/mergecase.png --figsize=15,15
--clipwhite --diskshow
wbia compute_occurrence_groups --save figures4/occurgraph.png
--figsize=40,40 --clipwhite --diskshow
~/code/wbia/wbia/algo/preproc/preproc_occurrence.py
Example:
>>> # DISABLE_DOCTEST
>>> from wbia.viz.viz_graph import * # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='PZ_MTEST')
>>> nid_list = ibs.get_valid_nids()[0:10]
>>> fnum = None
>>> use_image = True
>>> zoom = 0.4
>>> make_name_graph_interaction(ibs, nid_list, prog='neato')
>>> ut.show_if_requested()
"""
import wbia.plottool as pt
print('[viz_graph] drawing chip graph')
fnum = pt.ensure_fnum(fnum)
pt.figure(fnum=fnum, pnum=(1, 1, 1))
ax = pt.gca()
if layout is None:
layout = 'agraph'
print('layout = %r' % (layout,))
if use_image:
ensure_node_images(ibs, graph)
nx.set_node_attributes(graph, name='shape', values='rect')
if layoutkw is None:
layoutkw = {}
layoutkw['prog'] = layoutkw.get('prog', prog)
layoutkw.update(kwargs)
if prog == 'neato':
graph = graph.to_undirected()
plotinfo = pt.show_nx(
graph,
ax=ax,
# img_dict=img_dict,
layout=layout,
# hacknonode=bool(use_image),
layoutkw=layoutkw,
as_directed=as_directed,
framewidth=framewidth,
)
return plotinfo
[docs]class InferenceConfig(dtool.Config):
_param_info_list = [
ut.ParamInfo('min_labels', 1),
ut.ParamInfo('max_labels', 5),
ut.ParamInfo(
'thresh_method', 'elbow', valid_values=['elbow', 'mean', 'median', 'custom']
),
ut.ParamInfo('thresh', 0.5, hideif=lambda cfg: cfg['thresh_method'] != 'custom'),
]
[docs]class AnnotGraphInteraction(AbstractInteraction):
def __init__(self, infr, selected_aids=[], use_image=False, temp_nids=None):
super(AnnotGraphInteraction, self).__init__()
self.infr = infr
self.selected_aids = selected_aids
self.node2_aid = nx.get_node_attributes(self.infr.graph, 'aid')
self.aid2_node = ut.invert_dict(self.node2_aid)
node2_label = {
# node: '%d:aid=%r' % (node, aid)
node: 'aid=%r' % (aid)
for node, aid in self.node2_aid.items()
}
# self.show_cuts = False
self.use_image = use_image
self.show_cuts = False
self.config = InferenceConfig()
nx.set_node_attributes(self.infr.graph, name='label', values=node2_label)
[docs] def make_hud(self):
""" Creates heads up display """
import wbia.plottool as pt
hl_slot, hr_slot = pt.make_bbox_positioners(
y=0.01, w=0.10, h=0.03, xpad=0.01, startx=0, stopx=1
)
hl_slot2, hr_slot2 = pt.make_bbox_positioners(
y=0.05, w=0.10, h=0.03, xpad=0.01, startx=0, stopx=1
)
hl_slot3, hr_slot3 = pt.make_bbox_positioners(
y=0.09, w=0.10, h=0.03, xpad=0.01, startx=0, stopx=1
)
def make_position_gen(slot_):
gen_ = (slot_(x) for x in itertools.count(0))
def gennext_():
return six.next(gen_)
return gennext_
hl_next = make_position_gen(hl_slot)
hr_next = make_position_gen(hr_slot)
hl_next2 = make_position_gen(hl_slot2)
hr_next2 = make_position_gen(hr_slot2)
hl_next3 = make_position_gen(hl_slot3)
hr_next3 = make_position_gen(hr_slot3)
def _add_button(text, callback, rect):
self.append_button(text, callback=callback, rect=rect)
def _debug_button(func, r_next, refresh=True):
def _simple_onevent(event):
func()
if refresh:
self.show_page()
_add_button(ut.get_funcname(func), _simple_onevent, r_next())
def _toggle_args(states, varname, r_next):
state = getattr(self, varname)
def _simple_onevent(event):
setattr(self, varname, not getattr(self, varname))
self.show_page()
text = states[0] if state else states[1]
return text, _simple_onevent, r_next()
# Create buttons
r_next = hl_next
_add_button('Mark: Match', self.mark_match, r_next())
_add_button('Mark: Match', self.mark_match, r_next())
_add_button('Mark: Non-Match', self.mark_nomatch, r_next())
_add_button('Mark: Not-Comp', self.mark_notcomp, r_next())
r_next = hr_next
_add_button('Accept', self.confirm, r_next())
_add_button('Cut', self.cut, r_next())
r_next = hr_next2
_add_button('Params', self.edit_config, r_next())
r_next = hl_next2
_add_button('Deselect', self.unselect_all, r_next())
_add_button('Show Annots', self.show_selected, r_next())
_add_button(*_toggle_args(['Hide Cuts', 'Show Cuts'], 'show_cuts', r_next))
# _add_button(*_toggle_args(['Hide Imgs', 'Show Imgs'], 'use_image', r_next))
_add_button(
['Hide Imgs', 'Show Imgs'][self.use_image], self.toggle_imgs, r_next()
)
_add_button('Reset', self.reset, r_next())
r_next = hl_next3
# Debug row
_debug_button(self.infr.apply_scores, r_next)
# _debug_button(self.infr.apply_feedback, r_next)
_debug_button(self.infr.apply_weights, r_next)
_debug_button(self.infr.apply_all, r_next)
r_next = hr_next3
_debug_button(self.plot_weights, r_next, 0)
_debug_button(self.print_weights, r_next, 0)
[docs] def print_weights(self, event=None):
scalars = self.infr.get_scalars()
for px, (key, vals) in enumerate(scalars.items()):
print(key + ' = ' + ut.get_stats_str(vals, use_nan=True))
[docs] def plot_weights(self, event=None):
scalars = self.infr.get_scalars()
import wbia.plottool as pt
inter = pt.ExpandableInteraction(fnum=1)
for px, (key, vals) in enumerate(scalars.items()):
print(key + ' = ' + ut.get_stats_str(vals, use_nan=True))
args = (np.arange(len(vals)), sorted(vals))
kw = dict(title=key, y_label=key, marker='-o', equal_aspect=False)
inter.append_partial(pt.plot2, *args, **kw)
inter.start()
inter.show_page()
pt.update()
[docs] def edit_config(self, event):
import wbia.guitool
guitool.ensure_qtapp()
from wbia.guitool import PrefWidget2
self.widget = PrefWidget2.EditConfigWidget(config=self.config)
self.widget.show()
# dlg = guitool.ConfigConfirmWidget.as_dialog(None,
# title='Confirm Import Images',
# msg='New Settings',
# config=self.config)
# dlg.resize(700, 500)
# self = dlg.widget
# dlg.exec_()
# print('self.config = %r' % (self.config,))
# updated_config = dlg.widget.config # NOQA
# print('updated_config = %r' % (updated_config,))
# print('self.config = %r' % (self.config,))
[docs] def cut(self, event):
keys = ['min_labels', 'max_labels']
infrkw = ut.dict_subset(self.config, keys)
self.infr.relabel_using_inference(**infrkw)
self.show_page()
[docs] def reset(self, event):
self.infr.initialize_graph()
self.show_page()
[docs] def mark_nomatch(self, event):
print('BREAK LINK self.selected_aids = %r' % (self.selected_aids,))
import itertools
for aid1, aid2 in itertools.combinations(self.selected_aids, 2):
self.infr.add_feedback((aid1, aid2), NEGTV)
self.show_page()
[docs] def mark_match(self, event):
print('MAKE LINK self.selected_aids = %r' % (self.selected_aids,))
import itertools
for aid1, aid2 in itertools.combinations(self.selected_aids, 2):
self.infr.add_feedback((aid1, aid2), POSTV)
self.show_page()
[docs] def mark_notcomp(self, event):
print('MAKE LINK self.selected_aids = %r' % (self.selected_aids,))
import itertools
for aid1, aid2 in itertools.combinations(self.selected_aids, 2):
self.infr.add_feedback((aid1, aid2), INCMP)
self.show_page()
[docs] def unselect_all(self, event):
print('self.selected_aids = %r' % (self.selected_aids,))
for aid in self.selected_aids[:]:
self.toggle_selected_aid(aid)
[docs] def confirm(self, event):
print('Not done yet')
# print(self.infr.current_name_labels)
[docs] def toggle_imgs(self, event=None):
self.use_image = not self.use_image
self.show_page()
[docs] def show_selected(self, event):
import wbia.plottool as pt
print('show_selected')
from wbia.viz import viz_chip
fnum = pt.ensure_fnum(10)
print('fnum = %r' % (fnum,))
pt.figure(fnum=fnum)
pt.update()
viz_chip.show_many_chips(self.infr.ibs, self.selected_aids)
pt.update()
# fig.canvas.update()
# pt.iup()
[docs] def plot(self, fnum, pnum):
self.infr.update_visual_attrs(self.show_cuts)
layoutkw = dict(prog='neato', splines='spline', sep=10 / 72)
# draw_implicit=self.show_cuts)
self.plotinfo = pt.show_nx(
self.infr.graph,
as_directed=False,
fnum=self.fnum,
layoutkw=layoutkw,
# node_labels=True,
modify_ax=False,
use_image=self.use_image,
verbose=0,
)
ut.util_graph.graph_info(self.infr.graph, verbose=True)
# _, edge_weights, edge_colors = self.infr.get_colored_edge_weights()
# pt.colorbar(edge_weights, edge_colors, lbl='weights')
# _normal_ticks = np.linspace(0, 1, num=11)
# _normal_scores = np.linspace(0, 1, num=500)
# _normal_colors = self.infr.get_colored_weights(_normal_scores)
# cb = pt.colorbar(_normal_scores, _normal_colors, lbl='weights',
# ticklabels=_normal_ticks)
# cb.ax.annotate('threshold',
# xy=(1, self.infr.thresh),
# xytext=(2.5, .3 if self.infr.thresh < .5 else .7),
# arrowprops=dict(
# alpha=.5,
# fc="0.6",
# connectionstyle="angle3,angleA=90,angleB=0"),)
ax = pt.gca()
self.enable_pan_and_zoom(ax)
# ax.autoscale()
for aid in self.selected_aids:
self.highlight_aid(aid, pt.ORANGE)
# self.static_plot(fnum, pnum)
self.make_hud()
# print(ut.repr2(self.infr.graph.edges, nl=2))
print('Finished Plot')
[docs] def highlight_aid(self, aid, color=None):
import wbia.plottool as pt
node = self.aid2_node[aid]
frame = self.plotinfo['patch_frame_dict'][node]
framewidth = self.infr.graph.node[node]['framewidth']
if color is True:
color = pt.ORANGE
if color is None:
color = pt.DARK_BLUE
color = self.infr.graph.node[node]['color']
# color = fix_color(color)
color = pt.ensure_nonhex_color(color)
frame.set_linewidth(framewidth)
else:
frame.set_linewidth(framewidth * 2)
frame.set_facecolor(color)
frame.set_edgecolor(color)
[docs] def toggle_selected_aid(self, aid):
import wbia.plottool as pt
if aid in self.selected_aids:
self.selected_aids.remove(aid)
# self.highlight_aid(aid, pt.WHITE)
self.highlight_aid(aid, color=None)
else:
self.selected_aids.append(aid)
self.highlight_aid(aid, pt.ORANGE)
self.draw()
[docs] def on_key_press(self, event):
print(event)
infr = self.infr # NOQA
if event.key == 'r':
self.show_page()
self.draw()
if event.key == 'l':
self.infr.rrr()
self.show_page()
if event.key == 'i':
ut.embed()
if len(self.selected_aids) == 2:
ibs = self.infr.ibs
aid1, aid2 = self.selected_aids
_rowid = ibs.get_annotmatch_rowid_from_undirected_superkey([aid1], [aid2])
if _rowid is None:
_rowid = ibs.get_annotmatch_rowid_from_undirected_superkey([aid2], [aid1])
rowid = _rowid # NOQA
@ut.debug_function_exceptions
def on_click_inside(self, event, ax):
self.ax = ax
self.event = event
event = self.event
# print(ax)
# print(event.x)
# print(event.y)
pos = self.plotinfo['node']['pos']
nodes = list(pos.keys())
pos_list = ut.dict_take(pos, nodes)
# TODO: FIXME
# x = 10
# y = 10
import numpy as np # NOQA
x, y = event.xdata, event.ydata
point = np.array([x, y])
pos_list = np.array(pos_list)
index, dist = vt.closest_point(point, pos_list, distfunc=vt.L2)
# print('dist = %r' % (dist,))
node = nodes[index]
aid = self.node2_aid[node]
context_shown = False
CHECK_PAIR = True
if CHECK_PAIR:
if self.event.button == 3 and not context_shown:
if len(self.selected_aids) != 2:
print('This funciton only work if exactly 2 are selected')
else:
from wbia.gui import inspect_gui
context_shown = True
aid1, aid2 = self.selected_aids
qres = None
qreq_ = None
options = inspect_gui.get_aidpair_context_menu_options(
self.infr.ibs, aid1, aid2, qres, qreq_=qreq_
)
self.show_popup_menu(options, event)
bbox = vt.bbox_from_center_wh(
self.plotinfo['node']['pos'][node], self.plotinfo['node']['size'][node]
)
SELECT_ANNOT = vt.point_inside_bbox(point, bbox)
# SELECT_ANNOT = dist < 35
if SELECT_ANNOT:
# print(ut.obj_str(ibs.get_annot_info(aid, default=True,
# name=False, gname=False)))
if self.event.button == 1:
self.toggle_selected_aid(aid)
if self.event.button == 3 and not context_shown:
# right click
from wbia.viz.interact import interact_chip
context_shown = True
# refresh_func = functools.partial(viz.show_name, ibs, nid,
# fnum=fnum, sel_aids=sel_aids)
refresh_func = None
config2_ = None
options = interact_chip.build_annot_context_options(
self.infr.ibs,
aid,
refresh_func=refresh_func,
with_interact_name=False,
config2_=config2_,
)
self.show_popup_menu(options, event)
else:
if self.event.button == 3:
options = [
('Toggle images', self.toggle_imgs),
]
self.show_popup_menu(options, event)
[docs]def make_name_graph_interaction(
ibs,
nids=None,
aids=None,
selected_aids=[],
with_all=True,
invis_edges=None,
ensure_edges=None,
use_image=False,
temp_nids=None,
**kwargs,
):
r"""
CommandLine:
python -m wbia --tf make_name_graph_interaction --db PZ_MTEST \
--aids=1,2,3,4,5,6,7,8,9 --show
python -m wbia --tf make_name_graph_interaction --db LEWA_splits \
--nids=1 --show --split
Example:
>>> # DISABLE_DOCTEST
>>> from wbia.viz.viz_graph import * # NOQA
>>> import wbia
>>> import wbia.plottool as pt
>>> exec(ut.execstr_funckw(make_name_graph_interaction), globals())
>>> defaultdb='testdb1'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> aids = ut.get_argval('--aids', type_=list, default=None)
>>> nids = ut.get_argval('--nids', type_=list, default=ibs.get_valid_nids()[0:5])
>>> nids = None if aids is not None else nids
>>> with_all = not ut.get_argflag('--no-with-all')
>>> make_name_graph_interaction(ibs, nids, aids, with_all=with_all)
>>> #pt.zoom_factory()
>>> ut.show_if_requested()
"""
if aids is None and nids is not None:
aids = ut.flatten(ibs.get_name_aids(nids))
elif nids is not None and aids is not None:
aids += ibs.get_name_aids(nids)
aids = ut.unique(aids)
if with_all:
nids = ut.unique(ibs.get_annot_name_rowids(aids))
aids = ut.flatten(ibs.get_name_aids(nids))
# aids = aids[0:10]
nids = ibs.get_annot_name_rowids(aids)
# from wbia.algo.graph import graph_iden
# infr = graph_iden.AnnotInference(aids, nids, temp_nids) # NOQA
# import utool
# utool.embed()
from wbia.algo.graph import graph_iden
infr = graph_iden.AnnotInference(ibs, aids, nids, temp_nids)
infr.initialize_graph()
# infr.apply_scores()
# infr.apply_weights()
if ut.get_argflag('--cut'):
infr.apply_all()
# import wbia.guitool as gt
# gt.ensure_qtapp()
# print('infr = %r' % (infr,))
# win = test_qt_graphs(infr=infr, use_image=use_image)
# self = win
# gt.qtapp_loop(qwin=win, freq=10)
self = AnnotGraphInteraction(infr, selected_aids=selected_aids, use_image=use_image)
self.show_page()
self.show()
return self
[docs]def tryout_web_graphs(self, infr):
"""
https://plot.ly/python/
http://bokeh.pydata.org/en/latest/
pip install bokeh
Notes:
http://www.coppelia.io/2014/07/an-a-to-z-of-extra-features-for-the-d3-force-layout/
http://andrewmellor.co.uk/blog/articles/2014/12/14/d3-networks/
pip install plotly # eww need to sign up and get a key
http://igraph.org/
import mpld3
mpld3.save_html(fig, open('fig.html', 'w'))
mpld3.save_json(fig, open('fig.json', 'w'))
fig = pt.gcf()
"""
# import wbia.plottool as pt
# http://andrewmellor.co.uk/blog/articles/2014/12/14/d3-networks/
from networkx.readwrite import json_graph
G = infr.graph
data = json_graph.node_link_data(G)
json_text = ut.to_json(data, pretty=True)
ut.writeto('graph.json', json_text)
ut.editfile('graph.json')
ut.startfile('d3_example.html')
# d3_location = ut.grab_zipped_url('https://github.com/d3/d3/releases/download/v3.5.17/d3.zip')
# python -m SimpleHTTPServer 8000
[docs]def tryout_with_qt():
import sys
from PyQt4 import QtCore, QtWebKit, QtWidgets
from os.path import join, dirname
import wbia.viz
class Browser(QtWebKit.QWebView):
def __init__(self):
super(Browser, self).__init__()
self.loadFinished.connect(self._result_available)
def _result_available(self, ok):
pass
# frame = self.page().mainFrame()
# print(unicode(frame.toHtml()).encode('utf-8'))
app = QtWidgets.QApplication(sys.argv)
view = Browser()
view.show()
path = join(dirname(wbia.viz.__file__), 'd3_example.html')
view.load(QtCore.QUrl(path))
view.page().settings().setAttribute(
QtWebKit.QWebSettings.DeveloperExtrasEnabled, True
)
insp = QtWebKit.QWebInspector()
insp.setPage(view.page())
insp.show()
app.exec_()
if __name__ == '__main__':
"""
CommandLine:
python -m wbia.viz.viz_graph
python -m wbia.viz.viz_graph --allexamples
python -m wbia.viz.viz_graph --allexamples --noface --nosrc
"""
import multiprocessing
multiprocessing.freeze_support() # for win32
import utool as ut # NOQA
ut.doctest_funcs()