--- library_name: pytorch license: other tags: - real_time - bu_iot - android pipeline_tag: object-detection --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/web-assets/model_demo.png) # 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'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 [here](https://aihub.qualcomm.com/models/gear_guard_net). ### Model Details - **Model Type:** Model_use_case.object_detection - **Model Stats:** - Inference latency: RealTime - Input resolution: 320x192 - Number of output classes: 2 - Number of parameters: 6.19M - Model size (float): 23.6 MB - Model size (w8a8): 6.23 MB - Model size (w8a16): 6.65 MB | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model |---|---|---|---|---|---|---|---|---| | PPE-Detection | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 4.152 ms | 0 - 24 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 4.072 ms | 1 - 22 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 1.407 ms | 0 - 39 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 1.533 ms | 1 - 31 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.676 ms | 0 - 134 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 0.663 ms | 0 - 69 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 1.013 ms | 1 - 64 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.onnx.zip) | | PPE-Detection | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 1.302 ms | 0 - 24 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 1.248 ms | 1 - 22 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 4.152 ms | 0 - 24 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 4.072 ms | 1 - 22 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.669 ms | 0 - 135 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 0.667 ms | 0 - 68 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 1.83 ms | 0 - 27 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 1.848 ms | 1 - 25 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.675 ms | 0 - 137 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 0.666 ms | 0 - 58 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 1.302 ms | 0 - 24 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 1.248 ms | 1 - 22 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.489 ms | 0 - 39 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.489 ms | 1 - 34 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.692 ms | 0 - 32 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.onnx.zip) | | PPE-Detection | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 0.409 ms | 0 - 30 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.389 ms | 1 - 30 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.556 ms | 0 - 26 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.onnx.zip) | | PPE-Detection | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 0.345 ms | 0 - 28 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.tflite) | | PPE-Detection | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 0.345 ms | 1 - 31 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 0.524 ms | 1 - 28 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.onnx.zip) | | PPE-Detection | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 0.795 ms | 54 - 54 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.dlc) | | PPE-Detection | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.938 ms | 12 - 12 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection.onnx.zip) | | PPE-Detection | w8a16 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | QNN_DLC | 1.88 ms | 0 - 99 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | ONNX | 86.783 ms | 25 - 29 MB | CPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.onnx.zip) | | PPE-Detection | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 1.448 ms | 0 - 21 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 0.707 ms | 0 - 35 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 0.477 ms | 0 - 59 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 0.792 ms | 0 - 38 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.onnx.zip) | | PPE-Detection | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 0.687 ms | 0 - 21 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | ONNX | 39.066 ms | 19 - 38 MB | CPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.onnx.zip) | | PPE-Detection | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 1.448 ms | 0 - 21 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 0.481 ms | 0 - 59 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 1.104 ms | 0 - 27 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 0.48 ms | 0 - 58 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 0.687 ms | 0 - 21 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.314 ms | 0 - 38 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.49 ms | 0 - 40 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.onnx.zip) | | PPE-Detection | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.264 ms | 0 - 27 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.403 ms | 0 - 28 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.onnx.zip) | | PPE-Detection | w8a16 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | QNN_DLC | 0.625 ms | 0 - 33 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | ONNX | 47.88 ms | 27 - 43 MB | CPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.onnx.zip) | | PPE-Detection | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 0.227 ms | 0 - 28 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 0.377 ms | 0 - 24 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.onnx.zip) | | PPE-Detection | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 0.591 ms | 44 - 44 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.dlc) | | PPE-Detection | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.696 ms | 6 - 6 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a16.onnx.zip) | | PPE-Detection | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | TFLITE | 1.518 ms | 0 - 11 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | QNN_DLC | 1.202 ms | 0 - 99 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | ONNX | 11.939 ms | 5 - 14 MB | CPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.onnx.zip) | | PPE-Detection | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 0.882 ms | 0 - 20 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 0.832 ms | 0 - 21 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.363 ms | 0 - 32 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 0.498 ms | 0 - 38 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.254 ms | 0 - 51 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 0.251 ms | 0 - 52 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 0.478 ms | 0 - 50 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.onnx.zip) | | PPE-Detection | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.454 ms | 0 - 20 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 1.532 ms | 0 - 22 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 5.382 ms | 0 - 3 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | ONNX | 6.975 ms | 5 - 21 MB | CPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.onnx.zip) | | PPE-Detection | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 0.882 ms | 0 - 20 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 0.832 ms | 0 - 21 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.251 ms | 0 - 50 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 0.245 ms | 0 - 50 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.742 ms | 0 - 25 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 0.693 ms | 0 - 27 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 0.245 ms | 0 - 50 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.454 ms | 0 - 20 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 1.532 ms | 0 - 22 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.19 ms | 0 - 38 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.184 ms | 0 - 44 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.319 ms | 0 - 40 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.onnx.zip) | | PPE-Detection | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 0.16 ms | 0 - 21 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.151 ms | 0 - 28 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.276 ms | 0 - 28 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.onnx.zip) | | PPE-Detection | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | TFLITE | 0.357 ms | 0 - 31 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | QNN_DLC | 0.387 ms | 0 - 32 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | ONNX | 6.158 ms | 6 - 23 MB | CPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.onnx.zip) | | PPE-Detection | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 0.144 ms | 0 - 22 MB | NPU | [PPE-Detection.tflite](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.tflite) | | PPE-Detection | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 0.15 ms | 0 - 29 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 0.275 ms | 0 - 23 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.onnx.zip) | | PPE-Detection | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 0.34 ms | 46 - 46 MB | NPU | [PPE-Detection.dlc](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.dlc) | | PPE-Detection | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.389 ms | 6 - 6 MB | NPU | [PPE-Detection.onnx.zip](https://huggingface.co/qualcomm/PPE-Detection/blob/main/PPE-Detection_w8a8.onnx.zip) | ## Installation Install the package via pip: ```bash pip install qai-hub-models ``` ## Configure Qualcomm® AI Hub Workbench to run this model on a cloud-hosted device Sign-in to [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.com/) with your Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`. With this API token, you can configure your client to run models on the cloud hosted devices. ```bash qai-hub configure --api_token API_TOKEN ``` Navigate to [docs](https://workbench.aihub.qualcomm.com/docs/) for more information. ## Demo off target The package contains a simple end-to-end demo that downloads pre-trained weights and runs this model on a sample input. ```bash python -m qai_hub_models.models.gear_guard_net.demo ``` The above demo runs a reference implementation of pre-processing, model inference, and post processing. **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 ``` ### Run model on a cloud-hosted device In addition to the demo, you can also run the model on a cloud-hosted Qualcomm® device. This script does the following: * Performance check on-device on a cloud-hosted device * Downloads compiled assets that can be deployed on-device for Android. * Accuracy check between PyTorch and on-device outputs. ```bash python -m qai_hub_models.models.gear_guard_net.export ``` ## How does this work? This [export script](https://aihub.qualcomm.com/models/gear_guard_net/qai_hub_models/models/PPE-Detection/export.py) leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model on-device. Lets go through each step below in detail: Step 1: **Compile model for on-device deployment** To compile a PyTorch model for on-device deployment, we first trace the model in memory using the `jit.trace` and then call the `submit_compile_job` API. ```python import torch import qai_hub as hub from qai_hub_models.models.gear_guard_net import Model # Load the model torch_model = Model.from_pretrained() # Device device = hub.Device("Samsung Galaxy S25") # Trace model input_shape = torch_model.get_input_spec() sample_inputs = torch_model.sample_inputs() pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()]) # Compile model on a specific device compile_job = hub.submit_compile_job( model=pt_model, device=device, input_specs=torch_model.get_input_spec(), ) # Get target model to run on-device target_model = compile_job.get_target_model() ``` Step 2: **Performance profiling on cloud-hosted device** After compiling models from step 1. Models can be profiled model on-device using the `target_model`. Note that this scripts runs the model on a device automatically provisioned in the cloud. Once the job is submitted, you can navigate to a provided job URL to view a variety of on-device performance metrics. ```python profile_job = hub.submit_profile_job( model=target_model, device=device, ) ``` Step 3: **Verify on-device accuracy** To verify the accuracy of the model on-device, you can run on-device inference on sample input data on the same cloud hosted device. ```python input_data = torch_model.sample_inputs() inference_job = hub.submit_inference_job( model=target_model, device=device, inputs=input_data, ) on_device_output = inference_job.download_output_data() ``` With the output of the model, you can compute like PSNR, relative errors or spot check the output with expected output. **Note**: This on-device profiling and inference requires access to Qualcomm® AI Hub Workbench. [Sign up for access](https://myaccount.qualcomm.com/signup). ## Run demo on a cloud-hosted device You can also run the demo on-device. ```bash 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 -- --eval-mode on-device ``` ## Deploying compiled model to Android The models can be deployed using multiple runtimes: - TensorFlow Lite (`.tflite` export): [This tutorial](https://www.tensorflow.org/lite/android/quickstart) provides a guide to deploy the .tflite model in an Android application. - QNN (`.so` export ): This [sample app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html) provides instructions on how to use the `.so` shared library in an Android application. ## View on Qualcomm® AI Hub Get more details on PPE-Detection's performance across various devices [here](https://aihub.qualcomm.com/models/gear_guard_net). Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/) ## License * The license for the original implementation of PPE-Detection can be found [here](https://github.com/quic/ai-hub-models/blob/main/LICENSE). * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf) ## Community * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI. * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).