same but different

[manuel-delverme]

@CodiumAI-Agent /review

[CodiumAI-Agent]

PR Analysis

• 🎯 Main theme: The PR introduces a new feature to the codebase that allows the application to interact with the Myo armband for EMG signal processing. It also includes changes to the user policy and the addition of a new user class.

• 📝 PR summary: This PR primarily focuses on integrating the Myo armband into the application for EMG signal processing. It includes the addition of a new user class, changes to the user policy, and the implementation of real-time prediction with a torch model. The PR also includes some refactoring and updates to the gitignore file.

• 📌 Type of PR: Enhancement

• 🧪 Relevant tests added: No

• 🔒 Security concerns: No security concerns found

  PR Feedback

• 💡 General suggestions: The PR is well-structured and the code changes are logically grouped. However, it would be beneficial to include tests to verify the new functionality. Also, consider handling exceptions in the worker function to ensure the application doesn't crash in case of errors.

• 🤖 Code feedback:

  • relevant file: users.py suggestion: Consider using a deque with a maxlen of 200 for the emg_buffer instead of a list. This will automatically handle the removal of old elements and ensure the buffer always has the most recent 200 elements. [medium] relevant line: self.emg_buffer = []

  • relevant file: users.py suggestion: It would be better to move the magic numbers (like 200, 150, -128, 127) to constants at the top of the file or to a configuration file. This would make it easier to modify these values in the future and improves code readability. [medium] relevant line: self.emg_min = -128

  • relevant file: realtime_pred_test.py suggestion: It's recommended to use a context manager for handling the multiprocessing.Process to ensure it's properly cleaned up even if an error occurs. [important] relevant line: p = multiprocessing.Process(target=worker, args=(q,))

  • relevant file: users.py suggestion: It's recommended to handle exceptions that may occur during the execution of the worker function. This will prevent the application from crashing in case of errors. [important] relevant line: def worker(q):

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[KilianFt]

@manuel-delverme are you fine with just merging this? we can do the rest in a later PR Have a bit better way of loading datasets in case you want to use that