v0.30.5

See https://github.com/quic/ai-hub-models/releases/v0.30.5 for changelog.

README.md

@@ -13,11 +13,7 @@ pipeline_tag: object-detection
 # PPE-Detection: Optimized for Mobile Deployment
 ## Object detection for personal protective equipments (PPE)
 
-
-Detect if a person is wearing personal protective equipments (PPE) in real-time.
-
-This model is an implementation of PPE-Detection found [here](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/gear_guard_net/model.py).
-
+Detect if a person is wearing personal protective equipments (PPE) in real-time.  This model's architecture was developed by Qualcomm. The model was trained by Qualcomm on a proprietary dataset, but can be used on any image.
 
 This repository provides scripts to run PPE-Detection on Qualcomm® devices.
 More details on model performance across various devices, can be found
@@ -250,13 +246,13 @@ AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
 You can also run the demo on-device.
 
 ```bash
-python -m qai_hub_models.models.gear_guard_net.demo --on-device
+python -m qai_hub_models.models.gear_guard_net.demo --eval-mode on-device
 ```
 
 **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
 environment, please add the following to your cell (instead of the above).
 ```
-%run -m qai_hub_models.models.gear_guard_net.demo -- --on-device
+%run -m qai_hub_models.models.gear_guard_net.demo -- --eval-mode on-device
 ```
 
 
@@ -286,10 +282,6 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 
 
 
-## References
-* [Source Model Implementation](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/gear_guard_net/model.py)
-
-
 
 ## Community
 * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.