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nut_recognizer final version v14
Browse files- Pistachio.jpg +0 -0
- almonds.jpg +0 -0
- app.py +24 -20
- chestnuts.jpg +0 -0
- ginkgo nuts.jpg +0 -0
- macadamia-nut.jpg +0 -0
- macadamia.jpg +0 -0
- nut-recognizer-v11 .pkl β nut-recognizer-v14.pkl +2 -2
- nut-recognizer-v4 .pkl +0 -3
- peanuts.jpg +0 -0
- pili nuts.jpg +0 -0
- pistachios.jpeg +0 -0
- walnuts.jpg +0 -0
Pistachio.jpg
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almonds.jpg
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app.py
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@@ -6,24 +6,24 @@ from pathlib import Path
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#temp = pathlib.PosixPath
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#pathlib.PosixPath = pathlib.WindowsPath
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nut_labels =
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model = load_learner('nut-recognizer-
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def recognize_image(image):
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image = gr.inputs.Image(shape=(192,192))
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label = gr.outputs.Label(num_top_classes=5)
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examples = [
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'
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'cashew.jpg',
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'macadamia
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'peanuts.jpg'
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]
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iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
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#temp = pathlib.PosixPath
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#pathlib.PosixPath = pathlib.WindowsPath
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nut_labels = [
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'raw Almonds',
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'raw Brazil nut',
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'raw Cashew nut',
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'raw Chestnut',
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'raw Ginkgo nut',
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'raw Hazelnuts',
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'raw Hickory nut',
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'raw Maccademia nut',
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'raw Peanut',
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'raw Pecans',
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'raw Pili nut',
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'raw Pine nut',
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'raw Pistachios nut',
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'raw Walnuts'
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]
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model = load_learner('nut-recognizer-v14 .pkl')
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def recognize_image(image):
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image = gr.inputs.Image(shape=(192,192))
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label = gr.outputs.Label(num_top_classes=5)
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examples = [
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'pistachios.jpeg',
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'cashew.jpg',
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'macadamia.jpg',
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'peanuts.jpg',
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'walnuts',
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'chestnuts',
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'pili nuts.jpg',
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'ginkgo nuts'
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]
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iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
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chestnuts.jpg
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ginkgo nuts.jpg
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macadamia-nut.jpg
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macadamia.jpg
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nut-recognizer-v11 .pkl β nut-recognizer-v14.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b758dec0e5d246dad099b08368874336308b4d19e6023c11746c590e0d0baa03
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size 87540304
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nut-recognizer-v4 .pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b7faff519d6c3d08d4d59c5a8fc0acac1655a61f656b78e40cb8e6779a40b61
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size 87521093
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peanuts.jpg
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pili nuts.jpg
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pistachios.jpeg
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walnuts.jpg
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