transcribe.py has odd directory-scanning behavior which isn't documented

If you point --src to a directory, you get the error:

E Path in --src not existing

Looking at the code logic, the script expects a JSON file with a .catalog file extension. This is (1) not documented, and (2) not a really useful logic. It would be much better to point the script to a dir, and scan f

Excuse me to write here, cant find another way to communicate with author.

Do you have a Russian manual sources? I'd like to make it (documentation) with Markdown, not PDF. I think it will be more github-ish way. You can contact me with solo12zw74 (at) yandex.ru.

Description:
This issue occurs when latest version of SciPy (1.2.0) is used while running this project.

Possible Cause:
Apparently, imread is deprecated and is moved to imageio.

Current Workaround:
Install SciPy version 1.1.0

Fix:
Can modify the code to use imageio.imread () instead of scipy.mis.imread()

it is really great code , only how to run it
MLAlgorithms/mla/fm.py
may you add example , as you did for other models?

Documentation bug:

the using ml-agents on Azure asks you to build a linux exe with headless mode checked, but that was removed in 2018.3.

You now need to simply start the build using the -nographics and -batchmode flag.

link: ml-agents on Azure

The doc should cover this, it tak

I couldn't find any usage of img_hr in SRGAN model. Is it unnecessary to add img_hr as input of combined model?

My suggestions for line 95 and line 229 of srgan.py:
line-95: self.combined = Model(img_lr, [validity, fake_features])
line-229: g_loss = self.combined.train_on_batch(imgs_lr, [valid, image_features])

I would like to be able to record my agents gameplay and save it as a video.

It would be useful to have a little bit more documentation on how to use these flags. From the python side, its unclear how the --demofiles, --record, --video, and --demo flags exposed in the random agent are used, though I can infer some through dmlab_recording.c.

I'm currently running the following commands:

Sample on front page:

const model = new KerasJS.Model({
  filepaths: {

filepaths in plural.
code for Model:

if (!filepath) {
      throw new Error('[Model] path to protobuf-serialized model definition file is missing.')
    }

I am wondering what agent.test actually does. It returns a history of training? but test should not train at all right? why is test actually calling backward? I am a bit confused and some clarification in the docs would probably help me and others as well.

PS I am using keras-rl as requirement for another library pandas-ml-utils so I would highly appreciate if work on this library continue

The OpenAI Gym installation instructions are missing reference to the "Build Tools for Visual Studio 2019" from the following site.

https://visualstudio.microsoft.com/downloads/

I also found this by reading the following article.
https://towardsdatascience.com/how-to-install-openai-gym-in-a-windows-environment-338969e24d30

Even though this is an issue in the OpenAI gym, a note in this RE