rgautroncgiar
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repository structure detailed
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README.md
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@@ -46,6 +46,21 @@ The predicted numerical classes correspond to the following cherry types:
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{0: "dark_brown_cherry", 1: "green_cherry", 2: "red_cherry", 3: "yellow_cherry"}
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```
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### Demonstration
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Assuming you are in the ```scripts``` folder, you can run ```python3 test_script.py```. This script saves the annotated image in ```../images/annotated_1688033955437.jpg```.
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{0: "dark_brown_cherry", 1: "green_cherry", 2: "red_cherry", 3: "yellow_cherry"}
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```
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### Repository structure
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```
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.
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βββ images
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βΒ Β βββ 1688033955437.jpg # image for test
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βΒ Β βββ annotated_1688033955437_.jpg
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βββ model_v3_202402021.pt # fine tuning of Yolo v8
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βββ README.md
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βββ scripts
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βββ render_results.py # helper function to annotate predictions
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βββ requirements.txt # pip requirements
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βββ test_script.py # test script
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```
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### Demonstration
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Assuming you are in the ```scripts``` folder, you can run ```python3 test_script.py```. This script saves the annotated image in ```../images/annotated_1688033955437.jpg```.
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