def __init__(self,
thymioController,
commit_sha,
debug=False,
experimentName='NEAT_task',
evaluations=EVALUATIONS,
timeStep=0.005,
activationFunction='tanh',
popSize=POPSIZE,
generations=GENERATIONS,
solvedAt=1000):
TaskEvaluator.__init__(self, thymioController, commit_sha, debug,
experimentName, evaluations, timeStep,
activationFunction, popSize, generations,
solvedAt)
self.camera = CameraVisionVectors(False, self.logger)
self.ctrl_thread_started = False
self.img_thread_started = False
self.individuals_evaluated = 0
self.presenceValues = []
self.presence = []
self.prev_presence = []
self.conditionLock = Condition()
self.motorLock = Lock()
self.presenceValuesReady = False
def __init__(
self,
thymioController,
commit_sha,
local_ip,
debug=False,
experimentName=EXPERIMENT_NAME,
evaluations=EVALUATIONS,
timeStep=TIME_STEP,
activationFunction=ACTIVATION_FUNC,
popSize=POPSIZE,
generations=GENERATIONS,
solvedAt=SOLVED_AT,
):
TaskEvaluator.__init__(
self,
thymioController,
commit_sha,
local_ip,
debug,
experimentName,
evaluations,
timeStep,
activationFunction,
popSize,
generations,
solvedAt,
)
self.ctrl_thread_started = False
self.sensors_max = pr.SENSORS_MAX[local_ip]
def __init__(self, thymioController, commit_sha, debug=False, experimentName=EXPERIMENT_NAME, evaluations=EVALUATIONS, timeStep=0.005, activationFunction='tanh', popSize=POPSIZE, generations=GENERATIONS, solvedAt=1000):
TaskEvaluator.__init__(self, thymioController, commit_sha, debug, experimentName, evaluations, timeStep, activationFunction, popSize, generations, solvedAt)
self.ctrl_thread_started = False
self.hitWallCounter = 0
self.atWall = False
self.log_wall_counter(experimentName)
print "New obstacle avoidance task"
def __init__(self, thymioController, commit_sha, debug=False, experimentName='NEAT_task', evaluations=EVALUATIONS,
timeStep=0.005, activationFunction='tanh', popSize=POPSIZE, generations=GENERATIONS, solvedAt=1000):
TaskEvaluator.__init__(self, thymioController, commit_sha, debug, experimentName, evaluations, timeStep,
activationFunction, popSize, generations, solvedAt)
self.camera = CameraVisionVectors(False, self.logger)
self.ctrl_thread_started = False
self.img_thread_started = False
self.individuals_evaluated = 0
def __init__(self, thymioController, commit_sha, local_ip, debug=False,
experimentName=EXPERIMENT_NAME, evaluations=EVALUATIONS,
timeStep=TIME_STEP, activationFunction=ACTIVATION_FUNC,
popSize=POPSIZE, generations=GENERATIONS, solvedAt=SOLVED_AT):
TaskEvaluator.__init__(self, thymioController, commit_sha, local_ip,
debug, experimentName, evaluations, timeStep,
activationFunction, popSize, generations, solvedAt)
self.camera = CameraVisionVectors(False, self.logger)
self.ctrl_thread_started = False
self.img_thread_started = False
self.individuals_evaluated = 0
def evaluate(self, evaluee):
global ctrl_client
if ctrl_client and not self.ctrl_thread_started:
thread.start_new_thread(check_stop, (self,))
self.ctrl_thread_started = True
return TaskEvaluator.evaluate(self, evaluee)
def evaluate(self, evaluee):
global ctrl_client
if ctrl_client and not self.ctrl_thread_started:
thread.start_new_thread(check_stop, (self, ))
self.ctrl_thread_started = True
return TaskEvaluator.evaluate(self, evaluee)
def __init__(self,
thymioController,
commit_sha,
local_ip,
debug=False,
experimentName=EXPERIMENT_NAME,
evaluations=EVALUATIONS,
timeStep=TIME_STEP,
activationFunction=ACTIVATION_FUNC,
popSize=POPSIZE,
generations=GENERATIONS,
solvedAt=SOLVED_AT):
TaskEvaluator.__init__(self, thymioController, commit_sha, local_ip,
debug, experimentName, evaluations, timeStep,
activationFunction, popSize, generations,
solvedAt)
self.ctrl_thread_started = False
self.sensors_max = pr.SENSORS_MAX[local_ip]
def evaluate(self, evaluee):
global ctrl_client
if ctrl_client and not self.ctrl_thread_started:
thread.start_new_thread(check_stop, (self, ))
self.ctrl_thread_started = True
result = TaskEvaluator.evaluate(self, evaluee)
self.write_wall_log()
self.hitWallCounter = 0
self.atWall = False
return result
def evaluate(self, evaluee):
global ctrl_client
if ctrl_client and not self.ctrl_thread_started:
thread.start_new_thread(check_stop, (self, ))
self.ctrl_thread_started = True
result = TaskEvaluator.evaluate(self, evaluee)
self.write_wall_log()
self.hitWallCounter = 0
self.atWall = False
return result
def __init__(self,
thymioController,
commit_sha,
local_ip,
debug=False,
experimentName=EXPERIMENT_NAME,
evaluations=EVALUATIONS,
timeStep=TIME_STEP,
activationFunction=ACTIVATION_FUNC,
popSize=POPSIZE,
generations=GENERATIONS,
solvedAt=SOLVED_AT):
TaskEvaluator.__init__(self, thymioController, commit_sha, local_ip,
debug, experimentName, evaluations, timeStep,
activationFunction, popSize, generations,
solvedAt)
self.camera = CameraVisionVectors(False, self.logger)
self.ctrl_thread_started = False
self.img_thread_started = False
self.individuals_evaluated = 0
def __init__(self, thymioController, commit_sha, debug=False):
TaskEvaluator.__init__(self, thymioController, commit_sha, debug, EXPERIMENT_NAME, EVALUATIONS, TIME_STEP,
ACTIVATION_FUNC, POPSIZE, GENERATIONS, SOLVED_AT)
self.camera = CameraVisionVectors(False, self.logger)
self.ctrl_thread_started = False
self.img_thread_started = False
self.individuals_evaluated = 0
self.presenceValues = []
self.presence = []
self.prev_presence = []
self.conditionLock = Condition()
self.conditionGoalReached = Condition()
self.motorLock = Lock()
self.presenceValuesReady = False
self.proxvalues = [-1, -1]
self.goalReached = False
self.puckRemoved = False
self.hasPuck = False
self.puckLostCounter = 0
self.goalReachedWaiter = 0
self.goalReachedCounter = 0
def __init__(
self,
thymioController,
commit_sha,
debug=False,
experimentName="NEAT_task",
evaluations=EVALUATIONS,
timeStep=0.005,
activationFunction="tanh",
popSize=POPSIZE,
generations=GENERATIONS,
solvedAt=1000,
):
TaskEvaluator.__init__(
self,
thymioController,
commit_sha,
debug,
experimentName,
evaluations,
timeStep,
activationFunction,
popSize,
generations,
solvedAt,
)
self.camera = CameraVisionVectors(False, self.logger)
self.ctrl_thread_started = False
self.img_thread_started = False
self.individuals_evaluated = 0
self.presenceValues = []
self.presence = []
self.prev_presence = []
self.conditionLock = Condition()
self.motorLock = Lock()
self.presenceValuesReady = False