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# AUTOGENERATED! DO NOT EDIT! File to edit: ../methane-plume-classification-yes-or-no.ipynb. | |
# %% auto 0 | |
__all__ = ['temp', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] | |
# %% ../methane-plume-classification-yes-or-no.ipynb 2 | |
import warnings | |
warnings.filterwarnings('ignore') | |
# %% ../methane-plume-classification-yes-or-no.ipynb 3 | |
import pathlib | |
temp = pathlib.PosixPath | |
pathlib.PosixPath = pathlib.WindowsPath | |
# %% ../methane-plume-classification-yes-or-no.ipynb 4 | |
import fastbook | |
import pandas as pd | |
import numpy as np | |
import os | |
from fastbook import * | |
from fastai.vision.widgets import * | |
import gradio as gr | |
# %% ../methane-plume-classification-yes-or-no.ipynb 20 | |
categories = ('No Plume', 'Plume') | |
def classify_image(img): | |
pred, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
# %% ../methane-plume-classification-yes-or-no.ipynb 22 | |
image = gr.inputs.Image(shape = (152, 152)) | |
label = gr.outputs.Label() | |
examples = ['plume1.png', 'plume2.png', 'noplume1.png', 'noplume2.png'] | |
intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples) | |
intf.launch(inline = False) | |