def main():
import tenon.logging as L
import tenon.util as U
L.setLevel(L.DEBUG)
cachedir = os.path.abspath(os.path.join(rootdir, 'cache/examples/camera_track'))
# Set up the camera tracking constraint
# The object will be out of the view without setting a proper tracking constraint
camera = tenon.obj.get('Camera')
target = tenon.obj.get('Suzanne')
# tenon.constraint.TrackConstraint()
# Track_to constraint
U.camera_track(camera, target) # Setup camera tracking constraint
# Set up the light configuration
for count in range(10):
camera.location.x -= 0.5
filename = os.path.join(cachedir, 'camera_track_%d.png' % count)
tenon.render.write(filename)
radius = camera.location.length # Keep the radius fixed
el = 0
for az in range(0, 360, 30):
loc = U.sphere_location(radius, az, el)
camera.location = loc
filename = os.path.join(cachedir, 'circular_az%d.png' % az)
tenon.render.write(filename)
def main():
out_folders = {
'image': './lsp/images',
'depth': './lsp/depth',
'semantic': './lsp/semantic',
'2dpose': './lsp/2dpose'
}
for path in out_folders.values():
if not os.path.exists(path):
os.makedirs(path)
util = lsppose.Util()
models = lsppose.Models()
L.setLevel(tenon.logging.INFO)
L.info('Switch logging level to INFO')
L.info('Write a test image to init.png')
tenon.render.write('lsp/init.png')
camera = tenon.obj.get('Camera') # Unused in this demo
scene = util.setup_scene()
objs = [
# models.humanModel(),
models.bodyMesh(),
models.upperCloth(),
models.lowerCloth(),
models.hair(),
models.eye()
]
schedule_idx = range(1, 2001)
schedule_idx = [73]
for pose_id in schedule_idx:
posefolder = '../data/2015101415_v2'
util.update_scene(posefolder, scene, pose_id)
imgfilename = os.path.join(out_folders['image'], '%04d.png' % pose_id)
tenon.render.write(imgfilename)
L.info('Synthetic image: %s' % L.prettify_filename(imgfilename))
depth_filename = os.path.join(out_folders['depth'], '%04d.png' % pose_id)
tenon.render.DepthMode.enable()
tenon.render.write(depth_filename)
L.info('Depth: %s' % L.prettify_filename(depth_filename))
tenon.render.DepthMode.disable()
paint_filename = os.path.join(out_folders['semantic'], '%04d.png' % pose_id)
for obj in objs:
tenon.render.PaintMode.enable(obj)
tenon.render.write(paint_filename)
L.info('Semantic parts: %s' % L.prettify_filename(paint_filename))
for obj in objs:
tenon.render.PaintMode.disable(obj)
# Also save the joint annotation and part annotation
joint_filename = os.path.join(out_folders['2dpose'], '%04d.csv' % pose_id)
joints = lsppose.JointInfo.export()
lsppose.JointInfo.serializeJointInfo(joint_filename, joints)
L.info('2D joint location: %s' % L.prettify_filename(joint_filename))
def main():
import tenon.logging as L
import tenon.util as U
L.setLevel(L.DEBUG)
cachedir = os.path.abspath(
os.path.join(rootdir, 'cache/examples/camera_track'))
# Set up the camera tracking constraint
# The object will be out of the view without setting a proper tracking constraint
camera = tenon.obj.get('Camera')
target = tenon.obj.get('Suzanne')
# tenon.constraint.TrackConstraint()
# Track_to constraint
U.camera_track(camera, target) # Setup camera tracking constraint
# Set up the light configuration
for count in range(10):
camera.location.x -= 0.5
filename = os.path.join(cachedir, 'camera_track_%d.png' % count)
tenon.render.write(filename)
radius = camera.location.length # Keep the radius fixed
el = 0
for az in range(0, 360, 30):
loc = U.sphere_location(radius, az, el)
camera.location = loc
filename = os.path.join(cachedir, 'circular_az%d.png' % az)
tenon.render.write(filename)
def main():
import tenon.logging as L
L.setLevel(L.DEBUG)
cachedir = os.path.abspath(os.path.join(rootdir, 'cache/examples/render_mode'))
tenon.render.write(os.path.join(cachedir, 'normal_mode.png'))
tenon.render.DepthMode.enable()
tenon.render.write(os.path.join(cachedir, 'depth_mode.png'))
tenon.render.DepthMode.disable()
tenon.render.PaintMode.enable(tenon.obj.get('Suzanne'))
tenon.render.write(os.path.join(cachedir, 'paint_mode.png'))
def main():
util = lsppose.Util()
models = lsppose.Models()
util.rootdir = rootdir
import tenon.logging as L
# outputdir = '//../cache/lsp_synthesized'
L.setLevel(tenon.logging.INFO)
L.info('Switch logging level to INFO')
tenon.render.write('init.png')
camera = tenon.obj.get('Camera') # Unused in this demo
scene = util.setup_scene()
objs = [
# models.humanModel(),
models.bodyMesh(),
models.upperCloth(),
models.lowerCloth(),
models.hair(),
models.eye()
]
schedule_idx = range(1, 20001)
schedule_idx = [73, 2]
for i in schedule_idx:
util.update_scene(scene, i)
imgfilename = os.path.join(outputdir, 'imgs/%04d.png' % i)
tenon.render.write(imgfilename)
L.info('Synthetic image: %s' % L.prettify_filename(imgfilename))
depth_filename = os.path.join(outputdir, 'depth/%04d.png' % i)
tenon.render.DepthMode.enable()
tenon.render.write(depth_filename)
L.info('Depth: %s' % L.prettify_filename(depth_filename))
tenon.render.DepthMode.disable()
paint_filename = os.path.join(outputdir, 'parts/%04d.png' % i)
for obj in objs:
tenon.render.PaintMode.enable(obj)
tenon.render.write(paint_filename)
L.info('Semantic parts: %s' % L.prettify_filename(paint_filename))
for obj in objs:
tenon.render.PaintMode.disable(obj)
# Also save the joint annotation and part annotation
joint_filename = os.path.join(outputdir, 'joints/%04d.csv' % i)
joints = lsppose.JointInfo.export()
lsppose.JointInfo.serializeJointInfo(joint_filename, joints)
def main():
import tenon.logging as L
L.setLevel(L.DEBUG)
cachedir = os.path.abspath(
os.path.join(rootdir, 'cache/examples/render_mode'))
tenon.render.write(os.path.join(cachedir, 'normal_mode.png'))
tenon.render.DepthMode.enable()
tenon.render.write(os.path.join(cachedir, 'depth_mode.png'))
tenon.render.DepthMode.disable()
tenon.render.PaintMode.enable(tenon.obj.get('Suzanne'))
tenon.render.write(os.path.join(cachedir, 'paint_mode.png'))
def main():
util = lsppose.Util()
models = lsppose.Models()
util.rootdir = rootdir
import tenon.logging as L
# outputdir = '//../cache/lsp_synthesized'
L.setLevel(tenon.logging.INFO)
L.info('Switch logging level to INFO')
tenon.render.write('init.png')
camera = tenon.obj.get('Camera') # Unused in this demo
scene = util.setup_scene()
objs = [
# models.humanModel(),
models.bodyMesh(),
models.upperCloth(),
models.lowerCloth(),
models.hair(),
models.eye()
]
schedule_idx = range(1, 20001)
schedule_idx = [73, 2]
for i in schedule_idx:
util.update_scene(scene, i)
imgfilename = os.path.join(outputdir, 'imgs/%04d.png' % i)
tenon.render.write(imgfilename)
L.info('Synthetic image: %s' % L.prettify_filename(imgfilename))
depth_filename = os.path.join(outputdir, 'depth/%04d.png' % i)
tenon.render.DepthMode.enable()
tenon.render.write(depth_filename)
L.info('Depth: %s' % L.prettify_filename(depth_filename))
tenon.render.DepthMode.disable()
paint_filename = os.path.join(outputdir, 'parts/%04d.png' % i)
for obj in objs:
tenon.render.PaintMode.enable(obj)
tenon.render.write(paint_filename)
L.info('Semantic parts: %s' % L.prettify_filename(paint_filename))
for obj in objs:
tenon.render.PaintMode.disable(obj)
# Also save the joint annotation and part annotation
joint_filename = os.path.join(outputdir, 'joints/%04d.csv' % i)
joints = lsppose.JointInfo.export()
lsppose.JointInfo.serializeJointInfo(joint_filename, joints)
def main():
util = lsppose.Util()
models = lsppose.Models()
util.rootdir = rootdir
import tenon.logging as L
# outputdir = '//../cache/lsp_synthesized'
L.setLevel(tenon.logging.INFO)
L.info('Switch logging level to INFO')
tenon.render.write('init.png')
camera = tenon.obj.get('Camera') # Unused in this demo
scene = util.setup_scene()
objs = [
# models.humanModel(),
models.bodyMesh(),
models.upperCloth(),
models.lowerCloth(),
models.hair(),
models.eye()
]
schedule_idx = range(1, 20001)
schedule_idx = [2]
for i in schedule_idx:
util.update_scene(scene, i)
# imgfilename = os.path.join(outputdir, 'imgs/%04d.png' % i)
# tenon.render.write(imgfilename)
# L.info('Synthetic image: %s' % L.prettify_filename(imgfilename))
# depth_filename = os.path.join(outputdir, 'depth/%04d.png' % i)
# tenon.render.DepthMode.enable()
# tenon.render.write(depth_filename)
# L.info('Depth: %s' % L.prettify_filename(depth_filename))
# tenon.render.DepthMode.disable()
# paint_filename = os.path.join(outputdir, 'parts/%04d.png' % i)
# for obj in objs:
# tenon.render.PaintMode.enable(obj)
# tenon.render.write(paint_filename)
# L.info('Semantic parts: %s' % L.prettify_filename(paint_filename))
# for obj in objs:
# tenon.render.PaintMode.disable(obj)
# # Also save the joint annotation and part annotation
# joint_filename = os.path.join(outputdir, 'joints/%04d.csv' % i)
# joints = lsppose.JointInfo.export()
# lsppose.JointInfo.serializeJointInfo(joint_filename, joints)
import tenon.util as U
radius = camera.location.length # Keep the radius fixed
el = 0
# for angle in [0, 90, 180, 270]:
# for angle in range(0, 360, 10):
for angle in [240]:
for el in range(0, 90, 10):
loc = U.sphere_location(radius, angle, el)
camera.location = loc
imgfilename = os.path.join(outputdir, 'imgs/%04d_%d_%d.png' % (i, angle, el))
tenon.render.write(imgfilename)
L.info('Synthetic image: %s' % L.prettify_filename(imgfilename))
Synthesize images around the center object
'''
import sys, os
rootdir = os.path.expanduser('~/Dropbox/workspace/graphics_for_vision/tenon')
tenonpath = os.path.join(rootdir, 'code/tenon')
pwd = os.path.join(rootdir, 'code/tenon/examples/demo_lsp')
for v in [tenonpath, pwd]:
sys.path.append(os.path.expanduser(v))
import tenon
import lsppose
# output_dir = os.path.join(rootdir, 'cache/lsp_synthesized/circular_demo')
output_dir = os.path.expanduser('~/nosync/circular_demo/')
import tenon.logging as L
L.setLevel(L.INFO)
# L.setLevel(L.DEBUG)
L.info('Output folder is %s', L.prettify_filename(output_dir))
def blender():
lsppose_ = lsppose.Util()
lsppose_.rootdir = rootdir
import tenon.util as U
L.info('Switch logging level to INFO')
camera = tenon.obj.get('Camera') # Unused in this demo
scene = lsppose_.setup_scene()