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_kuka_cam_grasping.py

@@ -0,0 +1,44 @@
+import gym
+from envs.bullet.kukaCamGymEnv import KukaCamGymEnv
+
+from baselines import deepq
+
+import datetime
+
+
+
+def callback(lcl, glb):
+    # stop training if reward exceeds 199
+    total = sum(lcl['episode_rewards'][-101:-1]) / 100
+    totalt = lcl['t']
+    #print("totalt")
+    #print(totalt)
+    is_solved = totalt > 2000 and total >= 10
+    return is_solved
+
+
+def main():
+  	
+    env = KukaCamGymEnv(renders=True)
+    model = deepq.models.cnn_to_mlp(
+        convs=[(32, 8, 4), (64, 4, 2), (64, 3, 1)],
+        hiddens=[256],
+        dueling=False
+    )
+    act = deepq.learn(
+        env,
+        q_func=model,
+        lr=1e-3,
+        max_timesteps=10000000,
+        buffer_size=50000,
+        exploration_fraction=0.1,
+        exploration_final_eps=0.02,
+        print_freq=10,
+        callback=callback
+    )
+    print("Saving model to kuka_cam_model.pkl")
+    act.save("kuka_cam_model.pkl")
+
+
+if __name__ == '__main__':
+    main()