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Merge pull request #670 from wendingp/patch-1 

Fix typos
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Néstor Subirón 2018-08-20 14:42:09 +02:00 committed by GitHub
parent 7e6ee3795c fae6123f61
commit ad72406c99
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1 changed files with 8 additions and 8 deletions
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16
PythonClient/carla/driving_benchmark/driving_benchmark.py
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@ -31,7 +31,7 @@ class DrivingBenchmark(object):
an Agent class with a set Suite.
The benchmark class must be inherited with a class that defines the
The benchmark class must be inherited by a class that defines the
all the experiments to be run by the agent
"""
@ -63,8 +63,8 @@ class DrivingBenchmark(object):
def benchmark_agent(self, experiment_suite, agent, client):
"""
Function to benchmark the agent.
It first check the log file for this benchmark.
if it exist it continues from the experiment where it stopped.
It first checks the log file of this benchmark.
if it exists, it continues from the experiment where it stopped.
Args:
@ -83,7 +83,7 @@ class DrivingBenchmark(object):
metrics_object = Metrics(experiment_suite.metrics_parameters,
experiment_suite.dynamic_tasks)
# Function return the current pose and task for this benchmark.
# Function returns the current pose and task for this benchmark.
start_pose, start_experiment = self._recording.get_pose_and_experiment(
experiment_suite.get_number_of_poses_task())
@ -150,7 +150,7 @@ class DrivingBenchmark(object):
def get_path(self):
"""
Returns the path were the log was saved.
Returns the path where the log was saved.
"""
return self._recording.path
@ -171,7 +171,7 @@ class DrivingBenchmark(object):
def _get_shortest_path(self, start_point, end_point):
"""
Calculates the shortest path between two points considering the road netowrk
Calculates the shortest path between two points considering the road network
"""
return self._planner.get_shortest_path_distance(
@ -189,7 +189,7 @@ class DrivingBenchmark(object):
target,
episode_name):
"""
Run one episode of the benchmark (Pose) for a certain agent.
Runs one episode of the benchmark (Pose) for a certain agent.
Args:
@ -223,7 +223,7 @@ class DrivingBenchmark(object):
measurements, sensor_data = client.read_data()
# The directions to reach the goal are calculated.
directions = self._get_directions(measurements.player_measurements.transform, target)
# Agent process the data.
# The agent processes the data.
control = agent.run_step(measurements, sensor_data, directions, target)
# Send the control commands to the vehicle
client.send_control(control)