Run pylot in the base system fails

[wutianze]

Follow the installation guide in https://pylot.readthedocs.io/en/latest/manual_installation.html. I try to run pylot in my base system. The simulation is started successfully, howerver, when running pylot using python3 pylot.py --flagfile=configs/detection.conf, error shows AttributeError: module 'erdos' has no attribute 'Operator'.
I think maybe the erdos version is not correct(pip install will install version erdos 0.4.0), so I changed the setup.sh (force using erdos 0.3.1), and run again. The Operator error didn't show, but I encounter new errors:
Traceback (most recent call last): File "/home/sauron/.local/lib/python3.8/site-packages/erdos/streams.py", line 114, in internal_callback callback(msg, *write_streams) File "/home/sauron/.local/lib/python3.8/site-packages/erdos/__init__.py", line 294, in wrapper return func(*args, **kwargs) File "/home/sauron/pylot/pylot/perception/detection/detection_operator.py", line 110, in on_msg_camera_stream num_detections, res_boxes, res_scores, res_classes = self.__run_model( File "/home/sauron/pylot/pylot/perception/detection/detection_operator.py", line 161, in __run_model infer = self._model.signatures['serving_default'] AttributeError: 'DetectionOperator' object has no attribute '_model'
Thank you for your help

[pschafhalter]

Could you check that the detection operator finishes initializing before the callback is invoked? One way to do this is by adding a print statement after the following lines to ensure that the model is loaded:

pylot/pylot/perception/detection/detection_operator.py

Lines 54 to 55 in 765bbfa

	# Load the model from the saved_model format file.
	self._model = tf.saved_model.load(model_path)

[JackWetherell]

@wutianze I also have the issue, and I am using the pre-built docker. Can you please describe the installation is not complete a little more? What additional steps did you take to fix this?

@pschafhalter Is it possible the models aren't included in the docker image?

[wutianze]

@wutianze I also have the issue, and I am using the pre-built docker. Can you please describe the installation is not complete a little more? What additional steps did you take to fix this?

@pschafhalter Is it possible the models aren't included in the docker image?

I tried building pylot in my base system and the build process is not finished correctly because 30 series GPU doesn't support CUDA 10(you can check this issue: #250).
However, since you are using the docker container, it should work without error
I will reopen this issue for those who meet the same problem.

[JackWetherell]

@wutianze thank you.

I have determined why I was getting this issue for my particular use case in the docker container.

I was using the config: pylot/simulation/challenge/challenge.conf, and this contains some out-of-date paths for models (possibly the paths are wrong in some other configs too?)

An example path is: --obstacle_detection_model_paths=/workspace/team_code/dependencies/models/obstacle_detection/faster-rcnn/frozen_inference_graph.pb

And changing this to /home/erdos/workspace/pylot/dependencies/models/obstacle_detection/faster-rcnn/frozen_inference_graph.pb fixed the issue.

@pschafhalter Is this worth me fixing and raising a PR, also making the error a little more clear that it is the filepath that is wrong, as the current error does not indicate this.

[pschafhalter]

@JackWetherell challenge.conf is designed for the CARLA Challenge docker container which has a different directory layout. A PR that improves the error messages and comments challenge.conf to clarify this would be very welcome, but I wouldn't update the paths.

[wutianze]

I think I found the main problem. Erdos 0.4.0 changed its API and is incompatible with Pylot.

[jingzhengli]

I think I found the main problem. Erdos 0.4.0 changed its API and is incompatible with Pylot.

How to solve this error. I met the same error

[pschafhalter]

Install an earlier version of erdos using pip with pip install erdos==0.3.1, or git checkout a tag corresponding to a prior release when installing from source.