# Phân loại đối tượng bằng mô hình mặc định

Ứng dụng mẫu *gst-ai-classification* minh họa khả năng của phần cứng trong việc phân loại luồng video.

Pipeline nhận luồng video từ camera, file source hoặc giao thức truyền phát thời gian thực (RTSP), thực hiện tiền xử lý, tiến hành suy luận trên phần cứng AI và hiển thị kết quả trên màn hình.

![../_images/classification.png](data:image/png;base64,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)

Ứng dụng *gst-ai-classification* là một phần của Qualcomm Intelligent Multimedia Product (QIMP) SDK và có thể chạy ngay sau khi cài đặt thiết bị. Bạn cần đẩy mô hình và tệp nhãn lên thiết bị để chạy ứng dụng này.

## Tải xuống mô hình và tệp nhãn

Để tải xuống mô hình và tệp nhãn ngay trên thiết bị, hãy làm theo các bước bên dưới.

1. [Bật Wi-Fi và SSH](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-254/how_to.html#use-ssh).

> 
> 
> Thiết bị cần có kết nối Internet để tải xuống những phần cần thiết để chạy ứng dụng mẫu. Nếu bạn đã bật SSH và kết nối Internet bằng Wi-Fi, hãy bỏ qua bước này.
2. Đăng nhập vào thiết bị đích bằng SSH:

ssh root@<IP address of the target device>
        Copy to clipboard
3. Tải xuống script tự động hóa để tải mô hình và tệp nhãn xuống các thư mục `/etc/models` và `/etc/labels` trên thiết bị đích:

curl -L -O https://raw.githubusercontent.com/quic/sample-apps-for-qualcomm-linux/refs/heads/main/download_artifacts.sh
        Copy to clipboard

Ghi chú

Chạy script này trên thiết bị đích. Đảm bảo rằng thiết bị đích có kết nối Internet ổn định.
4. Đặt quyền cho script:

chmod +x download_artifacts.sh
        Copy to clipboard
5. Chạy script với đối số cần thiết để tải mô hình và tệp nhãn xuống thiết bị đích:

./download_artifacts.sh -v GA1.4-rel -c <soc name>
        Copy to clipboard

    Thay `<soc name>` bằng QCS6490, QCS9075 hoặc QCS8275.
6. Mặc định, các mô hình YOLOv8 và YOLO-NAS không có sẵn.

    Hãy tải các mô hình đó xuống bằng script được cung cấp hoặc xuất mô hình bằng AI Hub APIs. Nếu bạn đang dùng ứng dụng `gst-ai-multistream-batch-inference`, hãy tạo mô hình theo lô.

Tab Download them with a script
Tab Export them with AI Hub APIs
Tab Generate a batch model

1. Tạo [Tài khoản Qualcomm AI Hub](https://app.aihub.qualcomm.com/account/).
    2. Chọn tên tài khoản &gt; chuyển đến **Settings** ở góc trên bên phải &gt; chọn API key.
    3. Chạy các lệnh sau trên máy chủ Linux:

curl -L -O https://raw.githubusercontent.com/quic/sample-apps-for-qualcomm-linux/refs/heads/main/scripts/export_model.sh
            Copy to clipboard

chmod +x export_model.sh
            Copy to clipboard

        Thay `<API_KEY>` bằng key đã chọn:

./export_model.sh --api-key=<API_KEY>
            Copy to clipboard

        Sau khi thực thi tập lệnh, các mô hình sẽ được tải xuống thư mục build.
    4. Sao chép các mô hình này sang thiết bị trong thư mục `/etc/models/`.

scp <working-directory>/build/yolonas_quantized/yolonas_quantized.tflite root@<IP address of target device>:/etc/models/
            Copy to clipboard

scp <working-directory>/build/yolov8_det_quantized/yolov8_det_quantized.tflite root@<IP address of target device>:/etc/models/
            Copy to clipboard

1.4 yêu cầu Qualcomm AI Runtime SDK phiên bản 2.32. Hãy dùng lệnh sau để xuất mô hình. Ví dụ:

    - Cách xuất mô hình YoloV8 QNN:

python -m qai_hub_models.models.yolov8_det.export --quantize w8a8 --target-runtime=qnn --chipset="qualcomm-qcs6490-proxy" --compile-options="--qairt_version 2.32" --profile-options "--qairt_version 2.32"
            Copy to clipboard
    - Cách xuất mô hình YoloV8 LiteRT:

python -m qai_hub_models.models.yolov8_det.export --quantize w8a8 --target-runtime=tflite --chipset="qualcomm-qcs6490-proxy"
            Copy to clipboard

[YOLOv8-Detection-Quantized](https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/models/yolov8_det_quantized)

[Yolo-NAS-Quantized](https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/models/yolonas_quantized)

Để thay đổi batch size của mô hình, hãy cập nhật `<N>` trong lệnh xuất sau:

python -m qai_hub_models.models.<Model_Name>.export --quantize w8a8 --batch-size <N> --device "QCS6490 (Proxy)"
        Copy to clipboard
7. Cập nhật các hằng số `q_offset` và `q_scale` của mô hình LiteRT được lượng tử hóa trong tệp JSON. Để biết hướng dẫn, hãy xem [lấy hằng số của mô hình](https://docs.qualcomm.com/doc/80-70018-15BV/topic/integrate-ai-hub-models.html#get-model-constants).
8. Nếu một mô hình không có sẵn sau khi tải xuống cùng script, hãy tải mô hình đó xuống từ [IoT-Qualcomm AI Hub](https://aihub.qualcomm.com/iot/models/) rồi sao chép mô hình sang thiết bị đích bằng cách chạy lệnh sau trên máy chủ:

scp <model filename> root@<IP addr of the target device>:/etc/models
        Copy to clipboard

    Ví dụ:

scp inception_v3_quantized.tflite root@<IP addr of the target device>:/etc/models
        Copy to clipboard

Ghi chú

Nếu bạn muốn chạy ứng dụng mẫu từ shell UART, hãy remount hệ thống file với quyền đọc/ghi bằng lệnh sau trên thiết bị đích:

mount -o remount,rw /usr
        Copy to clipboard

## Chạy ứng dụng mẫu

Quan trọng

Phần còn lại của tài liệu này áp dụng quy ước sau cho các vị trí tệp mặc định:

- `/etc/models/` cho tất cả tệp mô hình
- `/etc/labels/` cho tất cả tệp nhãn
- `/etc/media/` cho tất cả tệp video
- `/etc/configs/` cho tất cả tệp cấu hình

Để chạy ứng dụng tham chiếu, hãy chạy các lệnh sau.

1. Script `download_artifacts.sh` sẽ tải tệp `video.mp4` mẫu xuống thư mục `/etc/media`. Nếu bạn muốn dùng tệp video của riêng mình, hãy đẩy tệp video đó lên thư mục `/etc/media` bằng lệnh bên dưới và cập nhật đường dẫn trong tệp cấu hình.

scp <video file> root@<IP address of target device>:/etc/media/
        Copy to clipboard

    Mô hình cho các runtime LiteRT và Qualcomm AI Engine Direct có sẵn trên [AI Hub](https://aihub.qualcomm.com/iot/models/inception_v3_quantized).

scp inception_v3_quantized.tflite root@<IP address of target device>:/etc/models/
        Copy to clipboard

scp inception_v3_quantized.bin root@<IP address of target device>:/etc/models/
        Copy to clipboard
2. Ứng dụng mẫu dùng tệp JSON để đọc tham số đầu vào. Đoạn mã bên dưới cho biết định dạng của tệp `/etc/configs/config_classification.json`.

{
        "file-path": "<input video path>",
        "ml-framework": "<snpe or LiteRT or qnn framework>",
        "model": "<model path>",
        "labels": "<label path>",
        "threshold": <postprocesssing threshold, integer value from 1 to 100>,
        "constants": "<Model constants for LiteRT/AI Engine Direct runtime>",
        "runtime": "<dsp, gpu, cpu runtime>"
        }
        Copy to clipboard

    Trường `ml-framework` nhận các giá trị sau:

    - `snpe`: Dùng với các mô hình Qualcomm Neural Processing Engine SDK
    - `tflite`: Dùng với các mô hình LiteRT
    - `qnn`: Dùng với các mô hình Qualcomm AI Engine Direct SDK

    Trường runtime nhận các giá trị sau:

    - `cpu`: Chạy trên CPU
    - `gpu`: Chạy trên GPU
    - `dsp`: Chạy trên HTP

    Bạn có thể chọn nguồn đầu vào cho ứng dụng mẫu bằng cách thêm một trong các trường sau vào tệp cấu hình.

    - `"camera"`:

        - `0`: Camera chính
        - `1`: Camera phụ

Ghi chú

Chỉ áp dụng cho các thiết bị QCS6490.
    - `"file-path"`: Đường dẫn đến tệp video
    - `"rtsp-ip-port"`: Địa chỉ của luồng RTSP ở định dạng sau:

rtsp://<ip>:<port>/<stream>
        Copy to clipboard

Cảnh báo

Chỉ thêm một nguồn đầu vào trong tệp cấu hình.
3. Bật dịch vụ Weston cho display bằng cách chạy lệnh sau:

export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1
        Copy to clipboard
4. Sau khi đã điền tệp JSON, hãy chạy ứng dụng mẫu bằng lệnh sau.

gst-ai-classification --config-file=/etc/configs/config_classification.json
        Copy to clipboard

Để biết thêm thông tin về các trường trong tệp cấu hình hoặc cách chạy ứng dụng, hãy dùng lệnh trợ giúp (`-h` ).

gst-ai-classification -h
    Copy to clipboard

Ví dụ: tệp cấu hình bên dưới thực thi mô hình LiteRT trên đầu vào video bằng DSP runtime.

{
    "file-path": "/etc/media/video.mp4",
    "ml-framework": "tflite",
    "model": "/etc/models/inception_v3_quantized.tflite",
    "labels": "/etc/labels/classification.labels",
    "constants": "Mobilenet,q-offsets=<38.0>,q-scales=<0.17039915919303894>;",
    "threshold": 40,
    "runtime": "dsp"
    }
    Copy to clipboard

## Lưu ý

- Để dừng ứng dụng, hãy nhấn <kbd class="kbd compound docutils literal notranslate"><kbd class="kbd docutils literal notranslate">CTRL</kbd>+<kbd class="kbd docutils literal notranslate">C</kbd></kbd>.
- Để hiển thị các lựa chọn trợ giúp có sẵn, hãy chạy lệnh sau:

gst-ai-classification -h
        Copy to clipboard
- Đầu ra gỡ lỗi của GStreamer được kiểm soát bởi biến môi trường GST\_DEBUG. Hãy đặt mức cần thiết để bật chức năng ghi log. Ví dụ: để ghi log mọi cảnh báo, hãy chạy lệnh sau.

export GST_DEBUG=2
        Copy to clipboard

    Để biết thêm lựa chọn khắc phục sự cố, hãy xem [Khắc phục sự cố và Câu hỏi thường gặp](https://docs.qualcomm.com/doc/80-70018-15BV/topic/troubleshooting.html).

Last Published: Oct 22, 2025

[Previous Topic
Chạy ứng dụng mẫu bằng EVK](https://docs.qualcomm.com/bundle/publicresource/80-70018-15BV/topics/sample-app-evk.md) [Next Topic
Dùng mô hình tùy chỉnh với ứng dụng mẫu](https://docs.qualcomm.com/bundle/publicresource/80-70018-15BV/topics/customize-reference-app.md)