add kukaCamGymEnv.py with camera observations (preliminary)

show camera position in example browser
disable per-vertex and per-fragment profile timings

examples/pybullet/gym/train_pybullet_cartpole.py

@@ -0,0 +1,33 @@
+import gym
+from envs.bullet.cartpole_bullet import CartPoleBulletEnv
+
+from baselines import deepq
+
+
+def callback(lcl, glb):
+    # stop training if reward exceeds 199
+    is_solved = lcl['t'] > 100 and sum(lcl['episode_rewards'][-101:-1]) / 100 >= 199
+    return is_solved
+
+
+def main():
+	
+    env = gym.make('CartPoleBulletEnv-v0')
+    model = deepq.models.mlp([64])
+    act = deepq.learn(
+        env,
+        q_func=model,
+        lr=1e-3,
+        max_timesteps=100000,
+        buffer_size=50000,
+        exploration_fraction=0.1,
+        exploration_final_eps=0.02,
+        print_freq=10,
+        callback=callback
+    )
+    print("Saving model to cartpole_model.pkl")
+    act.save("cartpole_model.pkl")
+
+
+if __name__ == '__main__':
+    main()