prepare to train racecar using ZED camera pixels (CNN+DQN)

examples/pybullet/gym/enjoy_pybullet_zed_racecar.py

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+import gym
+from envs.bullet.racecarZEDGymEnv import RacecarZEDGymEnv
+
+from baselines import deepq
+
+
+def main():
+    
+    env = RacecarZEDGymEnv(renders=True)
+    act = deepq.load("racecar_model.pkl")
+    print(act)
+    while True:
+        obs, done = env.reset(), False
+        print("===================================")        
+        print("obs")
+        print(obs)
+        episode_rew = 0
+        while not done:
+            env.render()
+            obs, rew, done, _ = env.step(act(obs[None])[0])
+            episode_rew += rew
+        print("Episode reward", episode_rew)
+
+
+if __name__ == '__main__':
+    main()