teaganli / houseexpo Goto Github PK

Hello,

In the readme file it mentions the Google Drive link to the dataset images as PNG files (https://drive.google.com/file/d/12CU51Fhi-_WubsPUsq5KCijfucW5HG7G/view?usp=sharing)

The link doesn't seem to exist. If there is another link, that would be appreciated. Thanks

Hello,

In the autonomous exploration, the simulated robot autonomously explores environments and generates a noisy map. How can I save the generated noisy global maps as images?

Thank you in advance.

I found that the number of room_category is less than the value of room_num. Do you have complete data of room segmentation ?

Hello,
When I run the following command:

python -m baselines.run --alg=ppo2 --env=RobotExploration-v0 --network=cnn --num_timesteps=2e7

I get the following error:

Traceback (most recent call last):
File "/home/rema/anaconda3/envs/housexpo/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/rema/anaconda3/envs/housexpo/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/rema/Thesis/baselines/baselines/run.py", line 250, in
main(sys.argv)
File "/home/rema/Thesis/baselines/baselines/run.py", line 216, in main
model, env = train(args, extra_args)
File "/home/rema/Thesis/baselines/baselines/run.py", line 80, in train
**alg_kwargs
File "/home/rema/Thesis/baselines/baselines/ppo2/ppo2.py", line 142, in learn
obs, returns, masks, actions, values, neglogpacs, states, epinfos = runner.run() #pylint: disable=E0632
File "/home/rema/Thesis/baselines/baselines/ppo2/runner.py", line 38, in run
self.obs[:], rewards, self.dones, infos = self.env.step(actions)
File "/home/rema/Thesis/baselines/baselines/common/vec_env/vec_env.py", line 108, in step
return self.step_wait()
File "/home/rema/Thesis/baselines/baselines/common/vec_env/dummy_vec_env.py", line 51, in step_wait
obs, self.buf_rews[e], self.buf_dones[e], self.buf_infos[e] = self.envs[e].step(action)
File "/home/rema/Thesis/baselines/baselines/bench/monitor.py", line 54, in step
ob, rew, done, info = self.env.step(action)
File "/home/rema/anaconda3/envs/housexpo/lib/python3.7/site-packages/gym/wrappers/time_limit.py", line 16, in step
observation, reward, done, info = self.env.step(action)
File "/home/rema/Thesis/HouseExpo/pseudoslam/envs/robot_exploration_v0.py", line 50, in step
crush_flag = self.sim.moveRobot(action)
File "/home/rema/Thesis/HouseExpo/pseudoslam/envs/simulator/pseudoSlam.py", line 418, in moveRobot
if self.robotCrashed(targetPose):
File "/home/rema/Thesis/HouseExpo/pseudoslam/envs/simulator/pseudoSlam.py", line 465, in robotCrashed
worldPatch= worldPatch*robotPatch
ValueError: operands could not be broadcast together with shapes (11,10) (11,11)

I could not find the corresponding scale of the images in the paper. How many pixels is one meter worth? Is the pixel/m scale held constant for all images throughout the entire dataset?