| """ |
| Use this script to control the env with your keyboard. |
| For this script to work, you need to have the PyGame window in focus. |
| |
| See/modify `char_to_action` to set the key-to-action mapping. |
| """ |
| import sys |
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| import numpy as np |
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| from metaworld.envs.mujoco.sawyer_xyz import SawyerPickPlaceEnvV2 |
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| import pygame |
| from pygame.locals import QUIT, KEYDOWN |
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| pygame.init() |
| screen = pygame.display.set_mode((400, 300)) |
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| char_to_action = { |
| 'w': np.array([0, -1, 0, 0]), |
| 'a': np.array([1, 0, 0, 0]), |
| 's': np.array([0, 1, 0, 0]), |
| 'd': np.array([-1, 0, 0, 0]), |
| 'q': np.array([1, -1, 0, 0]), |
| 'e': np.array([-1, -1, 0, 0]), |
| 'z': np.array([1, 1, 0, 0]), |
| 'c': np.array([-1, 1, 0, 0]), |
| 'k': np.array([0, 0, 1, 0]), |
| 'j': np.array([0, 0, -1, 0]), |
| 'h': 'close', |
| 'l': 'open', |
| 'x': 'toggle', |
| 'r': 'reset', |
| 'p': 'put obj in hand', |
| } |
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| import pygame |
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| env = SawyerPickPlaceEnvV2() |
| env._partially_observable = False |
| env._freeze_rand_vec = False |
| env._set_task_called = True |
| env.reset() |
| env._freeze_rand_vec = True |
| lock_action = False |
| random_action = False |
| obs = env.reset() |
| action = np.zeros(4) |
| while True: |
| done = False |
| if not lock_action: |
| action[:3] = 0 |
| if not random_action: |
| for event in pygame.event.get(): |
| event_happened = True |
| if event.type == QUIT: |
| sys.exit() |
| if event.type == KEYDOWN: |
| char = event.dict['key'] |
| new_action = char_to_action.get(chr(char), None) |
| if new_action == 'toggle': |
| lock_action = not lock_action |
| elif new_action == 'reset': |
| done = True |
| elif new_action == 'close': |
| action[3] = 1 |
| elif new_action == 'open': |
| action[3] = -1 |
| elif new_action is not None: |
| action[:3] = new_action[:3] |
| else: |
| action = np.zeros(3) |
| print(action) |
| else: |
| action = env.action_space.sample() |
| ob, reward, done, infos = env.step(action) |
| |
| if done: |
| obs = env.reset() |
| env.render() |
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