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updated CARLA to allow using actions of size 3 + automatic downloading of the CARLA imitation dataset
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@@ -1,4 +1,6 @@
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import numpy as np
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import os
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from logger import screen
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# make sure you have $CARLA_ROOT/PythonClient in your PYTHONPATH
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from carla.driving_benchmark.experiment_suites import CoRL2017
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@@ -23,6 +25,8 @@ from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
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from rl_coach.graph_managers.graph_manager import ScheduleParameters
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from rl_coach.schedules import ConstantSchedule
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from rl_coach.spaces import ImageObservationSpace
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from rl_coach.utilities.carla_dataset_to_replay_buffer import create_dataset
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####################
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# Graph Scheduling #
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@@ -100,14 +104,23 @@ agent_params.exploration.evaluation_noise_percentage = 0
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# no playing during the training phase
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agent_params.algorithm.num_consecutive_playing_steps = EnvironmentSteps(0)
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# the CARLA dataset should be downloaded through the following repository:
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# https://github.com/carla-simulator/imitation-learning
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# the dataset should then be converted to the Coach format using the script utils/carla_dataset_to_replay_buffer.py
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# the path to the converted dataset should be updated below
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# use the following command line to download and extract the CARLA dataset:
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# python rl_coach/utilities/carla_dataset_to_replay_buffer.py
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agent_params.memory.load_memory_from_file_path = "./datasets/carla_train_set_replay_buffer.p"
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agent_params.memory.state_key_with_the_class_index = 'high_level_command'
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agent_params.memory.num_classes = 4
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# download dataset if it doesn't exist
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if not os.path.exists(agent_params.memory.load_memory_from_file_path):
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screen.log_title("The CARLA dataset is not present in the following path: {}"
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.format(agent_params.memory.load_memory_from_file_path))
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result = screen.ask_yes_no("Do you want to download it now?")
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if result:
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create_dataset(None, "./datasets/carla_train_set_replay_buffer.p")
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else:
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screen.error("Please update the path to the CARLA dataset in the CARLA_CIL preset", crash=True)
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###############
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# Environment #
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###############
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@@ -116,12 +129,13 @@ env_params.level = 'town1'
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env_params.cameras = ['CameraRGB']
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env_params.camera_height = 600
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env_params.camera_width = 800
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env_params.allow_braking = False
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env_params.separate_actions_for_throttle_and_brake = True
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env_params.allow_braking = True
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env_params.quality = CarlaEnvironmentParameters.Quality.EPIC
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env_params.experiment_suite = CoRL2017('Town01')
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vis_params = VisualizationParameters()
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vis_params.video_dump_methods = [SelectedPhaseOnlyDumpMethod(RunPhase.TEST), MaxDumpMethod()]
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vis_params.video_dump_methods = [SelectedPhaseOnlyDumpMethod(RunPhase.TEST)]
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vis_params.dump_mp4 = True
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graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
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