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Parent(s):
0ddec60
Add download sample image feature
Browse files- apps/home.py +10 -3
apps/home.py
CHANGED
@@ -53,13 +53,20 @@ def app():
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- **label of the box**, indicate the name of the object that the model detect;
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- **number beside the label**, indicate how much the confidence of the model detect the object;
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Here is the step by step how to use the model on this dashboard:
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- first, **prepare the satellite imagery image** that you want to use;
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- then, **choose the model** that you want to use **(on the side bar)**, **YOLOv5x6 Model** to use the YOLOv5x6 model or **Fine-Tuning Model** to use the fine-tuning model (study case: Tanjung Priok Port);
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- to upload your image, **click the "Browse File"** button, then upload your image;
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- after the image is uploaded, **right click the image** and then **copy the image address** by clicking **"Copy image address"** button;
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- then **paste the image address** on the box below the image;
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- finally, **click the "Predict"** button to start the detection of the object inside your image. Wait untill the result appear.
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""", unsafe_allow_html=True
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- **label of the box**, indicate the name of the object that the model detect;
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- **number beside the label**, indicate how much the confidence of the model detect the object;
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+
## Tutorial How to Use Ship Detection Model
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Here is the step by step how to use the model on this dashboard:
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- first, **prepare the satellite imagery image** that you want to use. If you don't have the image, you can use this sample image, by clicking the **"Download Image"** on the end of this dashboard usage explanation;
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- then, **choose the model** that you want to use **(on the side bar)**, **YOLOv5x6 Model** to use the YOLOv5x6 model or **Fine-Tuning Model** to use the fine-tuning model (study case: Tanjung Priok Port);
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- to upload your image, **click the "Browse File"** button, then upload your image;
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- after the image is uploaded, **right click the image** and then **copy the image address** by clicking **"Copy image address"** button;
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- then **paste the image address** on the box below the image;
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- finally, **click the "Predict"** button to start the detection of the object inside your image. Wait untill the result appear.
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""", unsafe_allow_html=True
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)
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with open("apps/image/sample.jpg", "rb") as file:
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st.download_button(
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label="Download Sample Image",
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data=file,
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file_name="sample.jpg",
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mime="image/jpg"
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)
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