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IOS Evaluation Experiment

Environment Setup

Install packages

pip install opencv-python Pillow tqdm gradio
#Install IOS Debug Bridge
brew tap facebook/fb
brew install idb-companion
pip install fb-idb

Setup the ios emulator (Apple devices required)

  • Download Xcode and create a new Simulator with IPhone 14, IOS 14.2, not paired with Apple Watch
  • Open the apps, Map, Calendar, Photos, Reminders, News, Maps, Health, Wallet, Settings, Safari, Messages, Watch, Contacts, Files, Shortcuts, Freeform, click allow while using app for all location permission and allow notifications, click not now for icloud syncing requests.
  • Check the UDID of the new simulator by running idb list-targets
  • Set the location by idb set-location —udid {UDID} 40.7128 -74.0060
  • cd into /Users/{UserName}/Library/Developer/CoreSimulator/Devices and run cp -rH {UDID} back to save this state

Run the agents

Inference Server for CogAgent

  1. Visit CogAgent's Official Repo and follow the instructions to install the dependencies.
  2. Copy models/CogAgent/web_demo_simple.py from current folder into CogVLM/basic_demo/ folder.
  3. Run python web_demo_simple.py to start the server.

Run the Agent on IOS to Collect Trajectories

python collect_trajectories.py --udid {UDID} --output-path {xx.json} --gardio-http {gradio_link}

Improve the Agent through Filtered BC

Please first annotate the collected trajectories with our evaluator, please refer to the Evaluation Section in Main README for more details.

Then, select of state-action pairs with positive rewards and use it to finetune the CogAgent model. We use CogAgent's official repo to finetune the model. The weights we used are available at Huggingface Hub.