env_lab.py

from __future__ import division
from __future__ import print_function

import numpy as np
import cv2

import deepmind_lab

class EnvLab(object):
    def __init__(self, width, height, fps, level):
        lab = deepmind_lab.Lab(level, [])

        self.env = deepmind_lab.Lab(
            level, ["RGB_INTERLACED"],
            config = {
                "fps": str(fps),
                "width": str(width),
                "height": str(height)
            })

        self.env.reset()

        import pprint
        observation_spec = lab.observation_spec()
        print("Observation spec:")
        pprint.pprint(observation_spec)
        self.action_spec = self.env.action_spec()
        print("Action spec:")
        pprint.pprint(self.action_spec)

        self.indices = {a["name"]: i for i, a in enumerate(self.action_spec)}
        self.mins = np.array([a["min"] for a in self.action_spec])
        self.maxs = np.array([a["max"] for a in self.action_spec])
        self.num_actions = len(self.action_spec)
        print(self.num_actions)

        self.action = None

    def NumActions(self):
        return 3 #self.num_actions*2

    def Reset(self):
        self.env.reset()

    def Act(self, action, frame_repeat):
        action = self.MapActions(action)
        return self.env.step(action, num_steps=frame_repeat)

    def IsRunning(self):
        return self.env.is_running()

    def Observation(self):
        obs = self.env.observations()
        img = obs["RGB_INTERLACED"]
        img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
        return img

    def MapActions(self, action_raw):
        self.action = np.zeros([self.num_actions])

        if (action_raw == 0):
            self.action[self.indices["LOOK_LEFT_RIGHT_PIXELS_PER_FRAME"]] = -25
        elif (action_raw == 1):
            self.action[self.indices["LOOK_LEFT_RIGHT_PIXELS_PER_FRAME"]] = 25

        """if (action_raw==2):
            self.action[self.indices["LOOK_DOWN_UP_PIXELS_PER_FRAME"]] = -25
        elif (action_raw==3):
            self.action[self.indices["LOOK_DOWN_UP_PIXELS_PER_FRAME"]] = 25

        if (action_raw==4):
            self.action[self.indices["STRAFE_LEFT_RIGHT"]] = -1
        elif (action_raw==5):
            self.action[self.indices["STRAFE_LEFT_RIGHT"]] = 1

        if (action_raw==6):
            self.action[self.indices["MOVE_BACK_FORWARD"]] = -1
        el"""
        if (action_raw == 2):  # 7
            self.action[self.indices["MOVE_BACK_FORWARD"]] = 1

        # all binary actions need reset
        """if (action_raw==8):
            self.action[self.indices["FIRE"]] = 0
        elif (action_raw==9):
            self.action[self.indices["FIRE"]] = 1

        if (action_raw==10):
            self.action[self.indices["JUMP"]] = 0
        elif (action_raw==11):
            self.action[self.indices["JUMP"]] = 1

        if (action_raw==12):
            self.action[self.indices["CROUCH"]] = 0
        elif (action_raw==13):
            self.action[self.indices["CROUCH"]] = 1"""

        return np.clip(self.action, self.mins, self.maxs).astype(np.intc)