def generate_quake_motion_path(args):
trace_file = args[0] #input trace file
output_filename = _get_option_or_default(args, 1, 'quake.txt')
xoffset = int(_get_option_or_default(args, 2, 0)) # uniform x translation
yoffset = int(_get_option_or_default(args, 3, 0)) # uniform y translation
trace = ObjectPathTrace(trace_file)
trace.fill_parents(report=True)
pb = ProgressBar(len(trace.roots()))
obj_sizes = trace.aggregate_sizes()
fout = open(output_filename, 'w')
trace_subsets = trace.clusters()
subtraces = trace.subset_traces(trace_subsets)
obj_count = 0
for subtrace in subtraces:
subtrace_roots = subtrace.roots()
for objid, mots in subtrace.sim_motions_iter(subtrace_roots):
# above the actual output to ensure it gets updated
obj_count += 1
pb.update(obj_count)
pb.report()
idx = 0
for mot in mots:
num_updates = sum([len(mot) for mot in mots])
mot.squeeze(fudge=.05)
#if num_updates <= 1: continue
for t, pos in mot:
# note that we flip y and z to go from SL coords -> meru coords
bbox = obj_sizes[objid]
bbox_rad = vec3.dist(bbox[0], bbox[1]) / 2.0
line = "%s: %f, %f, %f, %d, %f" % (
str(objid), xoffset + pos[0], yoffset + pos[1], pos[2],
int(t * 1000), bbox_rad)
print >> fout, line
idx += 1
fout.close()
pb.finish()
return 0
def generate_quake_motion_path(args):
trace_file = args[0] #input trace file
output_filename = _get_option_or_default(args, 1, 'quake.txt')
xoffset = int(_get_option_or_default(args, 2, 0)) # uniform x translation
yoffset = int(_get_option_or_default(args, 3, 0)) # uniform y translation
trace = ObjectPathTrace(trace_file)
trace.fill_parents(report=True)
pb = ProgressBar(len(trace.roots()))
obj_sizes = trace.aggregate_sizes()
fout = open(output_filename,'w')
trace_subsets = trace.clusters()
subtraces = trace.subset_traces(trace_subsets)
obj_count = 0
for subtrace in subtraces:
subtrace_roots = subtrace.roots()
for objid,mots in subtrace.sim_motions_iter(subtrace_roots):
# above the actual output to ensure it gets updated
obj_count += 1
pb.update(obj_count)
pb.report()
idx = 0
for mot in mots:
num_updates = sum( [ len(mot) for mot in mots ] )
mot.squeeze(fudge=.05)
#if num_updates <= 1: continue
for t,pos in mot:
# note that we flip y and z to go from SL coords -> meru coords
bbox = obj_sizes[objid]
bbox_rad = vec3.dist(bbox[0], bbox[1])/2.0
line = "%s: %f, %f, %f, %d, %f" % (str(objid), xoffset+pos[0], yoffset+pos[1], pos[2], int(t*1000), bbox_rad)
print >>fout, line
idx += 1
fout.close()
pb.finish()
return 0
def sizes(self):
"""
Extract the sizes of each prim in the trace, returning a dict
of UUID -> (bbox_min_vec, bbox_max_vec), where both are
3-tuples representing Vector3s. The bounding box will be
transformed by object transformations (scale, rotate) but will
not be in world-space (not translated w.r.t. the parent).
"""
objids = self.objects()
obj_sizes = {}
for size_evt in self.size_events():
size_id = UUID(size_evt['id'])
if size_id not in objids: continue
if size_id in obj_sizes: continue # only use the first size value
bbox_scale = parse_vec3(size_evt['scale'])
bbox_min = vec3.mult(parse_vec3(size_evt['min']), bbox_scale)
bbox_max = vec3.mult(parse_vec3(size_evt['max']), bbox_scale)
r = vec3.dist(bbox_min, bbox_max) * 0.5
obj_sizes[size_id] = (bbox_min, bbox_max)
return obj_sizes
def sizes(self):
"""
Extract the sizes of each prim in the trace, returning a dict
of UUID -> (bbox_min_vec, bbox_max_vec), where both are
3-tuples representing Vector3s. The bounding box will be
transformed by object transformations (scale, rotate) but will
not be in world-space (not translated w.r.t. the parent).
"""
objids = self.objects()
obj_sizes = {}
for size_evt in self.size_events():
size_id = UUID(size_evt['id'])
if size_id not in objids: continue
if size_id in obj_sizes: continue # only use the first size value
bbox_scale = parse_vec3(size_evt['scale'])
bbox_min = vec3.mult(parse_vec3(size_evt['min']), bbox_scale)
bbox_max = vec3.mult(parse_vec3(size_evt['max']), bbox_scale)
r = vec3.dist(bbox_min, bbox_max) * 0.5
obj_sizes[size_id] = (bbox_min, bbox_max)
return obj_sizes
