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Build Naruto Hand Seals Recognition with Convolutional Neural Network YOLOX-Nano

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NeuralNetwork-YOLOXNano-HandSeals-Recognition

Build Naruto Hand Seals Recognition with Convolutional Neural Network YOLOX-Nano

Requirements

  • onnxruntime 1.10.0 or Later
  • OpenCV 3.4.2 or Later
  • Tensorflow 2.3.0 or Later (Only when running SSD or EfficientDet)

DataSet

  1. Kaggle Public dataset:naruto-hand-sign-dataset

Trained Model

  • YOLOX-Nano

Directory

│  simple_demo.py
│  
├─model
│  └─yolox
│      │ yolox_nano.onnx
│      └─yolox_onnx.py
│              
├─setting─┬─labels.csv
│         └─jutsu.csv
│      
├─utils
│          
└─_legacy

Usage

python simple_demo.py
python Ninjutsu_demo.py

In addition, the following options can be specified when running the demo.

Option specification
  • --device
    Camera device number
    Default:
    • simple_demo.py:0
    • Ninjutsu_demo.py:0
  • --file
    Video file name ※If specified, the video will be loaded in preference to the camera
    Default:
    • simple_demo.py:None
    • Ninjutsu_demo.py:None
  • --fps
    Processing FPS ※Valid only if the inference time is less than FPS
    Default:
    • simple_demo.py:10
    • Ninjutsu_demo.py:10
  • --width
    Width when shooting with a camera
    Default:
    • simple_demo.py:960
    • Ninjutsu_demo.py:960
  • --height
    Height when shooting with a camera
    Default:
    • simple_demo.py:540
    • Ninjutsu_demo.py:540
  • --skip_frame
    Whether to thin out when loading the camera or video
    Default:
    • simple_demo.py:0
    • Ninjutsu_demo.py:0
  • --model
    Storage path of the model to load
    Default:
    • simple_demo.py:model/yolox/yolox_nano.onnx
    • Ninjutsu_demo.py:model/yolox/yolox_nano.onnx
  • --input_shape
    Model input shape
    Default:
    • simple_demo.py:416,416
    • Ninjutsu_demo.py:416,416
  • --score_th
    Class discrimination threshold
    Default:
    • simple_demo.py:0.7
    • Ninjutsu_demo.py:0.7
  • --nms_th
    NMS threshold
    Default:
    • simple_demo.py:0.45
    • Ninjutsu_demo.py:0.45
  • --nms_score_th
    NMS score threshold
    Default:
    • simple_demo.py:0.1
    • Ninjutsu_demo.py:0.1
  • --sign_interval
    The hand-sign history is cleared when the specified time(seconds) has passed since the last mark was detected.
    Default:
    • Ninjutsu_demo.py:2.0
  • --jutsu_display_time
    Time to display the Ninjutsu name when the hand-sign procedure is completed(seconds)
    Default:
    • Ninjutsu_demo.py:5
  • --use_display_score
    Whether to display the hand-sign detection score
    Default:
    • Ninjutsu_demo.py:False
  • --erase_bbox
    Whether to clear the bounding box overlay display
    Default:
    • Ninjutsu_demo.py:False
  • --use_jutsu_lang_en
    Whether to use English notation for displaying the Ninjutsu name
    Default:
    • Ninjutsu_demo.py:False
  • --chattering_check
    Continuous detection is regarded as hand-sign detection
    Default:
    • Ninjutsu_demo.py:1
  • --use_fullscreen
    Whether to use full screen display(experimental function)
    Default:
    • Ninjutsu_demo.py:False

License

NeuralNetwork-YOLOXNano-HandSeals-Recognition is under MIT license.

License(Font)

KouzanMouhitsu(衡山毛筆) Font(https://opentype.jp/kouzanmouhitufont.htm)

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Build Naruto Hand Seals Recognition with Convolutional Neural Network YOLOX-Nano

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