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rendering.py
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rendering.py
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import tempfile
import os
import itertools
import random
import urllib
import json
import numpy as np
import cairo
import renderer
from bson import SON
import darpa
BASE_URL = 'http://50.19.109.25'
MODEL_URL = BASE_URL + ':9999/3dmodels?'
BG_URL = BASE_URL + ':9999/backgrounds?'
def render_image(IC,config,returnfh=False):
generator = config['generator']
if generator == 'renderman':
return renderman_render(config,returnfh=returnfh)
elif generator == 'cairo':
return cairo_render(config,returnfh=returnfh)
elif generator == 'darpa':
return darpa.darpa_render(IC,config)
else:
raise ValueError, 'image generator not recognized'
class ImageConfigs(object):
def __init__(self,config_gen_spec):
self.configs = config_gen(self,config_gen_spec)
def render_image(self,config,returnfh = False):
return render_image(self,config,returnfh = returnfh)
def chain(iterables):
for (ind,it) in enumerate(iterables):
for element in it:
yield ind,element
class config_gen(object):
def __init__(self,IC,config):
if not isinstance(config['images'],list):
config['images'] = [config['images']]
self.im_configs = config['images']
param_list = []
for I in config['images']:
if I['selection'] == 'specific':
newparams = specific_config_gen(IC,I)
elif I['selection'] == 'gridded':
newparams = gridded_config_gen(IC,I)
elif I['selection'] == 'random':
newparams = random_config_gen(IC,I)
elif I['generator'] == 'dataset_api':
import dataset.compute
DatasetObject = dataset.compute.compute_instance(I)
meta = DataObject.columns['meta']
files = DataObject.columns['img_fullpath']
newparams = []
for n,fp in zip(meta,files):
n['img_fullpath'] = fp
n['dataset_name'] = I['dataset_name']
newparams.append(SON([('image',n)]))
param_list.append(newparams)
self.param_list = chain(param_list)
def __iter__(self):
return self
def next(self):
ind,x = self.param_list.next()
x['image']['generator'] = self.im_configs[ind]['generator']
return x
def specific_config_gen(IC,config):
if config['generator'] == 'darpa':
return darpa.specific_config_gen(IC,config)
else:
images = config['specs']
return [SON([('image',m)]) for m in images]
def random_config_gen(IC,config):
if config['generator'] == 'cairo':
return cairo_random_config_gen(config)
elif config['generator'] == 'renderman':
return renderman_random_config_gen(config)
elif config['generator'] == 'darpa':
return darpa.darpa_random_config_gen(IC,config)
def gridded_config_gen(IC,config):
if config['generator'] == 'cairo':
return cairo_config_gen(config)
elif config['generator'] == 'renderman':
return renderman_config_gen(config)
elif config['generator'] == 'darpa':
return darpa.darpa_gridded_config_gen(IC,config)
def renderman_config_gen(args):
ranger = lambda v : np.arange(args[v]['$gt'],args[v]['$lt'],args['delta']).tolist() if isinstance(v,dict) else [args.get(v)]
tx = ranger('tx')
ty = ranger('ty')
tz = ranger('tz')
rxy = ranger('rxy')
rxz = ranger('rxz')
ryz = ranger('ryz')
sx = ranger('sx')
sy = ranger('sy')
sz = ranger('sz')
kenv = ranger('kenv')
model_ids = args['model_ids']
param_names = ['tx','ty','tz','rxy','rxz','ryz','sx','sy','sz','kenv','model_id']
ranges = [tx,ty,tz,rxy,rxz,ryz,sx,sy,sz,kenv,model_ids]
params = [SON([('image' , SON(filter(lambda x: x[1] is not None, zip(param_names,p))))]) for p in itertools.product(*ranges)]
chooser = lambda v : (lambda : v[random.randint(0,len(v)-1)])
random_ranger = lambda v : (((chooser(np.arange(v['$gt'],v['$lt'],v['delta'])) if v.get('delta') else (lambda : (v['$lt'] - v['$gt']) * random.random() + v['$gt']))) if isinstance(v,dict) else v) if v else None
if 'bg_ids' in args:
bg_ids = args['bg_ids']
elif 'bg_query' in args:
bg_query = args['bg_query']
bg_ids = json.loads(urllib.urlopen(BG_URL + 'query=' + json.dumps(bg_query) + '&distinct=path').read())
else:
bg_ids = None
funcs = []
if bg_ids:
funcs.append(('bg_id',chooser(bg_ids)))
if 'bg_phi' in args:
funcs.append(('bg_phi',random_ranger(args['bg_phi'])))
if 'bg_psi' in args:
funcs.append(('bg_psi',random_ranger(args['bg_psi'])))
for param in params:
p = param['image']
if args.get('use_canonical'):
p['use_canonical'] = args['use_canonical']
for (k,f) in funcs:
if f:
p[k] = f()
if args.get('res'):
p['res'] = args['res']
return params
def renderman_random_config_gen(args):
chooser = lambda v : (lambda : v[random.randint(0,len(v)-1)])
ranger = lambda v : (((chooser(np.arange(v['$gt'],v['$lt'],v['delta'])) if v.get('delta') else (lambda : (v['$lt'] - v['$gt']) * random.random() + v['$gt']))) if isinstance(v,dict) else v) if v else None
num = args['num_images']
funcs = [(k,ranger(args.get(k))) for k in ['tx','ty','tz','rxy','rxz','ryz','sx','sy','sz','s','bg_phi','bg_psi']]
if not 'model_ids' in args:
models = json.loads(urllib.urlopen(MODEL_URL + 'action=distinct&field=id').read())
else:
models = args['model_ids']
funcs1 = [('model_id',chooser(models))]
if 'bg_ids' in args:
bg_ids = args['bg_ids']
funcs1.append(('bg_id',chooser(bg_ids)))
elif 'bg_query' in args:
bg_query = args['bg_query']
bg_ids = json.loads(urllib.urlopen(BG_URL + 'query=' + json.dumps(bg_query) + '&distinct=path').read())
funcs1.append(('bg_id',chooser(bg_ids)))
if 'kenvs' in args:
kenvs = args['kenvs']
funcs1.append(('kenv',chooser(kenvs)))
params = []
for i in range(num):
p = SON([])
if args.get('use_canonical'):
p['use_canonical'] = args['use_canonical']
for (k,f) in funcs + funcs1:
if f:
p[k] = f()
if args.get('res'):
p['res'] = args['res']
params.append(SON([('image',p)]))
return params
def get_canonical_view(m):
v = json.loads(urllib.urlopen(MODEL_URL + 'query={"id":"' + m + '"}&fields=["canonical_view"]').read())[0]
if v.get('canonical_view'):
return v['canonical_view']
def renderman_render(config,returnfh = False):
config = config.to_dict()
params_list = [{}]
param = params_list[0]
if 'bg_id' in config:
param['bg_id'] = config.pop('bg_id')
if 'bg_phi' in config:
param['bg_phi'] = config.pop('bg_phi')
if 'bg_psi' in config:
param['bg_phi'] = config.pop('bg_psi')
if 'kenv' in config:
param['kenv'] = config.pop('kenv')
if 'res' in config:
param['res_x'] = param['res_y'] = config['res']
use_canonical = config.pop('use_canonical',False)
if use_canonical:
v = get_canonical_view(config['model_id'])
if v:
config['rotations'] = [{'rxy':v['rxy'],'rxz':v['rxz'],'ryz':v['ryz']},
{'rxy':config.pop('rxy',0),'rxz':config.pop('rxz',0),'ryz':config.pop('ryz',0)}]
param['model_params'] = [config]
orig_dir = os.getcwd()
os.chdir(os.path.join(os.environ['HOME'] , 'render_wd'))
tmp = tempfile.mkdtemp()
renderer.render(tmp,params_list)
imagefile = [os.path.join(tmp,x) for x in os.listdir(tmp) if x.endswith('.tif')][0]
os.chdir(orig_dir)
fh = open(imagefile)
if returnfh:
return fh
else:
return fh.read()
def cairo_config_gen(args):
ranger = lambda v : np.arange(args[v]['$gt'],args[v]['$lt'],args[v]['delta']).tolist() if isinstance(args.get(v),dict) else [args.get(v)]
tx = ranger('tx')
ty = ranger('ty')
rxy = ranger('rxy')
sx = ranger('sx')
sy = ranger('sy')
objects = args['objects']
patterns = args['patterns']
action_lists = args['action_lists']
width = [args['width']]
height = [args['height']]
param_names = ['tx','ty','rxy','sx','sy','object','pattern','actions','width','height']
ranges = [tx, ty, rxy, sx, sy, objects, patterns, action_lists, width, height]
params = [SON([('image' , SON(filter(lambda x: x[1] is not None, zip(param_names,p))))]) for p in itertools.product(*ranges)]
return params
def cairo_random_config_gen(args):
chooser = lambda v : (lambda : v[random.randint(0,len(v)-1)])
ranger = lambda v : (((chooser(np.arange(v['$gt'],v['$lt'],v['delta'])) if v.get('delta') else (lambda : (v['$lt'] - v['$gt']) * random.random() + v['$gt']))) if isinstance(v,dict) else v) if v else None
num = args['num_images']
funcs = [(k,ranger(args.get(k))) for k in ['tx','ty','rxy','sx','sy']]
funcs1 = [(k, chooser(args[k[0]])) for k in [('objects','object'),
('patterns','pattern'),
('action_lists','actions')] if k[0] in args]
params = []
for i in range(num):
param = SON([])
param['height'] = args['height']
param['width'] = args['width']
for (k,f) in funcs:
if f:
param[k] = f()
for (k,f) in funcs1:
param[k[1]] = f()
params.append(SON([('image',param)]))
return params
def cairo_render(params,returnfh=False):
height = params['height']
width = params['width']
if params.get('object'):
object = params['object']
pattern = params['pattern']
actions = params.get('actions',['fill'])
if params.get('sx') or params.get('sy'):
S = SON([('type','scale'),('args',(params.get('sx',1),params.get('sy',1)))])
InvS = SON([('type','scale'),('args',(1./params.get('sx',1),1./params.get('sy',1)))])
object = [S] + object + [InvS]
if params.get('rxy'):
Rot = SON([('type','rotate'),('args',(params.get('rxy'),))])
InvRot = SON([('type','rotate'),('args',(-params.get('rxy'),))])
object = [Rot] + object + [InvRot]
if params.get('tx') != None or params.get('ty') != None:
Tr = SON([('type','translate'),('args',(params.get('tx',0),-params.get('ty',0)))])
InvTr = SON([('type','translate'),('args',(-params.get('tx',0),params.get('ty',0)))])
object = [Tr] + object + [InvTr]
Tr = SON([('type','translate'),('args',(.5,.5))])
InvTr = SON([('type','translate'),('args',(-.5,-.5))])
object = [Tr] + object + [InvTr]
render_params = SON([('objs' , [SON([('pattern' , pattern), ('segments' , object) , ('actions',actions)])]),
('width' , width), ('height' , height)
])
elif params.get('objects'):
render_params = SON([('objs' , []),
('width' , width), ('height' , height)
])
for objp in params['objects']:
object = objp['object']
pattern = objp['pattern']
actions = objp.get('actions',['fill'])
if objp.get('sx') or objp.get('sy'):
S = SON([('type','scale'),('args',(objp.get('sx',1),objp.get('sy',1)))])
InvS = SON([('type','scale'),('args',(1./objp.get('sx',1),1./objp.get('sy',1)))])
object = [S] + object + [InvS]
if objp.get('rxy'):
Rot = SON([('type','rotate'),('args',(objp.get('rxy'),))])
InvRot = SON([('type','rotate'),('args',(-objp.get('rxy'),))])
object = [Rot] + object + [InvRot]
if objp.get('tx') != None or objp.get('ty') != None:
Tr = SON([('type','translate'),('args',(objp.get('tx',0),-objp.get('ty',0)))])
InvTr = SON([('type','translate'),('args',(-objp.get('tx',0),objp.get('ty',0)))])
object = [Tr] + object + [InvTr]
Tr = SON([('type','translate'),('args',(.5,.5))])
InvTr = SON([('type','translate'),('args',(-.5,-.5))])
object = [Tr] + object + [InvTr]
render_params['objs'].append(SON([('pattern' , pattern), ('segments' , object), ('actions',actions)]))
return cairo_render_image(render_params,returnfh=returnfh)
def cairo_render_image(params,returnfh=False):
WIDTH, HEIGHT = params['width'], params['height']
surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, WIDTH, HEIGHT)
ctx = cairo.Context(surface)
ctx.scale (WIDTH, HEIGHT) # Normalizing the canvas
objs = params['objs']
for obj in objs:
pattern = obj.get('pattern')
if pattern:
pat_type = pattern['type']
pat_args = pattern['args']
pat_stops = pattern.get('color_stops',[])
pattern = getattr(cairo,pat_type)(*pat_args)
for stop in pat_stops:
stop_type = stop['type']
stop_args = stop['args']
getattr(pattern,'add_color_stop_' + stop_type)(*stop_args)
ctx.set_source(pattern)
segments = obj['segments']
for segment in segments:
segment_type = segment['type']
segment_args = segment.get('args',())
getattr(ctx,segment_type)(*segment_args)
actions = obj['actions']
for action in actions:
getattr(ctx,action)()
fh = tempfile.TemporaryFile()
surface.write_to_png(fh) # Output to PNG
fh.seek(0)
if returnfh:
return fh
else:
s = fh.read()
return s