def main():
env = BasicEnvironment(houseId="0004d52d1aeeb8ae6de39d6bd993e992",
suncgDatasetRoot=TEST_SUNCG_DATA_DIR,
realtime=True)
env.setAgentOrientation((60.0, 0.0, 0.0))
env.setAgentPosition((42, -39, 1.0))
env.renderWorld.showRoomLayout(showCeilings=False,
showWalls=True,
showFloors=True)
viewer = Viewer(env.scene, interactive=False, showPosition=True)
# Find agent and reparent camera to it
agent = env.scene.scene.find('**/agents/agent*/+BulletRigidBodyNode')
viewer.camera.reparentTo(agent)
linearVelocity = np.zeros(3)
angularVelocity = np.zeros(3)
rotationStepCounter = -1
rotationsStepDuration = 40
try:
while True:
# Constant speed forward (Y-axis)
linearVelocity = LVector3f(0.0, 1.0, 0.0)
env.setAgentLinearVelocity(linearVelocity)
# Randomly change angular velocity (rotation around Z-axis)
if rotationStepCounter > rotationsStepDuration:
# End of rotation
rotationStepCounter = -1
angularVelocity = np.zeros(3)
elif rotationStepCounter >= 0:
# During rotation
rotationStepCounter += 1
else:
# No rotation, initiate at random
if np.random.random() > 0.5:
angularVelocity = np.zeros(3)
angularVelocity[2] = np.random.uniform(low=-np.pi,
high=np.pi)
rotationStepCounter = 0
env.setAgentAngularVelocity(angularVelocity)
# Simulate
env.step()
viewer.step()
except KeyboardInterrupt:
pass
viewer.destroy()
return 0
def testStep(self):
try:
env = BasicEnvironment(houseId="0004d52d1aeeb8ae6de39d6bd993e992",
suncgDatasetRoot=TEST_SUNCG_DATA_DIR,
realtime=True)
env.setAgentOrientation((60.0, 0.0, 0.0))
env.setAgentPosition((42, -39, 1.1))
controller = Controller(env.scene, showPosition=True)
for _ in range(10):
controller.step()
time.sleep(1.0)
finally:
env.destroy()
controller.destroy()
def main():
env = BasicEnvironment(houseId="0004d52d1aeeb8ae6de39d6bd993e992",
suncgDatasetRoot=TEST_SUNCG_DATA_DIR,
realtime=True)
env.renderWorld.showRoomLayout(showCeilings=False,
showWalls=True,
showFloors=True)
env.setAgentOrientation((60.0, 0.0, 0.0))
env.setAgentPosition((42, -39, env.physicWorld.agentHeight / 2 + 0.1))
controller = Controller(env.scene,
showPosition=True,
cameraTransform=env.cameraTransform)
controller.run()
controller.destroy()
controller.graphicsEngine.removeAllWindows()
return 0
class HomeEnv(gym.Env):
"""HoME basic starter environment
TODO: explain env basics, reward, other important details
Actions: (can do both move & look at the same time)
1) Moving: Discrete 5 - NOOP[0],
UP[1], # forward
RIGHT[2], # strafe right
DOWN[3], # backward
LEFT[4] # strafe left
- params: min: 0, max: 4
2) Looking: Discrete 5 -NOOP[0],
UP[1],
RIGHT[2],
DOWN[3],
LEFT[4]
- params: min: 0, max: 4
"""
def __init__(self, turning_speed=0.1, moving_speed=100):
self.turning_speed = turning_speed # how fast is the camera turning
self.moving_speed = moving_speed # how fast is the agent moving
# empty init for tests
self.observation = Observation(None, None,
np.zeros((100, 100, 3), dtype=np.uint8),
None).as_dict()
self.metadata = {'render.modes': ['human', 'rgb_array']}
# Gym environments have no parameters, so we have to
# make sure the user first creates a symlink
# to their SUNCG dataset in ~/.suncg
# so that there are folders ~/.suncg/[room|house|...]
self.data_path = data_dir()
print("DEBUG: SUNCG DATA DIRECTORY:", self.data_path)
self.action_space = spaces.MultiDiscrete(5, 5)
self.observation_space = spaces.Dict({
# TODO what are the actual bounds of all possible houses?
# position is x, y, z
"position":
spaces.Box(low=-100, high=100, shape=(3, ), dtype='float32'),
# TODO get actual box for HPR
# orientation is HPR / heading, pitch, roll
"orientation":
spaces.Box(low=-100, high=100, shape=(3, ), dtype='float32'),
"image":
spaces.Box(low=0, high=255, shape=(500, 500, 3)),
# collision [0] - no collision, [1] - you bumped into sthg
"collision":
spaces.Discrete(2)
})
print("DEBUG: LOADING HOUSES... ")
self.list_of_houses = get_available_houses()
print("DEBUG: FOUND HOUSES: ", len(self.list_of_houses))
# for determinism we have to load
# the houses in specific order
self.next_house = 0
self.render_window = None # if human rendering is on
self._reset()
def _seed(self, seed=0):
""" Force loading a specific house
:param seed: integer ID for house (not house ID)
:return:
"""
assert seed < len(self.list_of_houses)
self.next_house = seed
return [self.next_house]
def executeLooking(self, action):
new_orientation = self.observation["orientation"]
if action == 0:
pass # NOOP
elif action == 1:
new_orientation[0] -= self.turning_speed
elif action == 2:
new_orientation[2] += self.turning_speed
elif action == 3:
new_orientation[0] += self.turning_speed
elif action == 4:
new_orientation[2] -= self.turning_speed
else:
raise Exception(
"Received unknown 'looking' action: {}. "
"Try an integer in the range between and including 0-4.".
format(action))
self.env.setAgentOrientation(new_orientation)
def executeMoving(self, action):
new_impulse = [0.0, 0.0, 0.0] # impulse = force * time
if action == 0:
pass # NOOP
elif action == 1:
new_impulse[1] += self.moving_speed
elif action == 2:
new_impulse[0] += self.moving_speed
elif action == 3:
new_impulse[1] -= self.moving_speed
elif action == 4:
new_impulse[0] -= self.moving_speed
else:
raise Exception(
"Received unknown 'moving' action: {}. "
"Try an integer in the range between and including 0-4.".
format(action))
print("new impulse:", new_impulse)
self.env.applyImpulseToAgent(new_impulse)
def _step(self, action):
assert self.action_space.contains(action)
self.executeMoving(action[0])
self.executeLooking(action[1])
self.env.step()
self.observation = self.env.getObservation().as_dict()
reward = 0
done = False
misc = None
return self.observation, reward, done, misc
def _reset(self):
# TODO maybe in the future we can unload the old house/rooms/objects
# so we don't have to recreate the Panda3dBulletPhysicWorld
# and Panda3dRenderWorld on every reset
# load a new house into the world
houseId = self.list_of_houses[self.next_house]
self.env = BasicEnvironment(houseId, suncgDatasetRoot=self.data_path)
# TODO move agent to random pos and orientation
self.env.setAgentPosition((42, -39, 1))
self.env.setAgentOrientation((0.0, 0.0, 0.0))
self.env.step() # need a single step to create rendering in RAM
self.observation = self.env.getObservation().as_dict()
self.next_house += 1
# if we went to the end of the house list, loop around
if (self.next_house == len(self.list_of_houses)):
self.next_house = 0
return self.observation
def _create_window(self):
self.render_window = tk.Tk()
image = np.zeros(self.env.size)
img = ImageTk.Image.fromarray(image)
imgTk = ImageTk.PhotoImage(img)
self.render_panel = tk.Label(self.render_window, image=imgTk)
self.render_panel.pack(side="bottom", fill="both", expand="yes")
def _update_human_render(self):
img = ImageTk.Image.fromarray(self.observation["image"])
imgTk = ImageTk.PhotoImage(img)
self.render_panel.configure(image=imgTk)
self.render_panel.image = imgTk
self.render_window.update()
def _render(self, mode='human', close=False):
"""
"human" render creates a Tk window, returns None
"rgb_array" creates NO window,
returns ndarray containing the img
"""
if mode == "rgb_array":
return self.observation["image"]
else:
if self.render_window is None:
self._create_window()
self._update_human_render()
def _close(self):
if self.render_window is not None:
self.render_window.destroy()
def main():
env = BasicEnvironment(houseId="0004d52d1aeeb8ae6de39d6bd993e992",
suncgDatasetRoot=TEST_SUNCG_DATA_DIR,
realtime=True)
# a, b = env.generateOccupancyMap()
# plt.imshow(a, cmap='hot', interpolation='nearest')
# plt.show(block=False)
env.setAgentOrientation((60.0, 0.0, 0.0))
env.setAgentPosition((42, -39, 1.2))
env.renderWorld.showRoomLayout(showCeilings=False,
showWalls=True,
showFloors=True)
viewer = Viewer(env.scene, interactive=False, showPosition=True, fov=50.)
# Find agent and reparent camera to it
agent = env.agentRbNp
viewer.camera.reparentTo(agent)
viewer.capture_video()
# ai_world = AIWorld(env.scene.scene)
# ai_char = AICharacter("seeker", agent, 60, 0.5, 5)
# ai_world.addAiChar(ai_char)
# ai_behaviors = ai_char.getAiBehaviors()
# ai_behaviors.seek(Vec3(35, -39, 1.0))
#
# def update_ai_world(task):
# ai_world.update()
# return task.cont
# taskMgr.add(update_ai_world, "AIUpdate")
#
# while True:
#
# viewer.step()
# env.step()
renderer = Panda3dSemanticsRenderer(env.scene,
TEST_SUNCG_DATA_DIR,
mode='offscreen',
segment_by_instance=True)
renderer.cameras[0].reparentTo(agent)
renderer.showRoomLayout(showCeilings=False)
images = []
linearVelocity = np.zeros(3)
angularVelocity = np.zeros(3)
rotationStepCounter = -1
rotationsStepDuration = 40
try:
while True:
# Constant speed forward (Y-axis)
linearVelocity = LVector3f(0.0, 1.0, 0.0)
env.setAgentLinearVelocity(linearVelocity)
# Randomly change angular velocity (rotation around Z-axis)
if rotationStepCounter > rotationsStepDuration:
# End of rotation
rotationStepCounter = -1
angularVelocity = np.zeros(3)
elif rotationStepCounter >= 0:
# During rotation
rotationStepCounter += 1
else:
# No rotation, initiate at random
if np.random.random() > 0.5:
angularVelocity = np.zeros(3)
angularVelocity[2] = np.random.uniform(low=-np.pi,
high=np.pi)
rotationStepCounter = 0
env.setAgentAngularVelocity(angularVelocity)
# Simulate
env.step()
viewer.step()
image = renderer.getRgbaImages()['agent-0']
images.append(image)
if viewer.stop:
postprocess_images(images, env.scene, renderer)
sys.exit(0)
except KeyboardInterrupt:
postprocess_images(images, env.scene, renderer)
pass
viewer.destroy()
return 0