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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
# %% auto 0 | |
__all__ = ['title', 'description', 'learners', 'models', 'active_name', 'active_model', 'example_images', 'model_matrix', | |
'model_losses', 'demo', 'classify_image', 'select_model', 'update_matrix', 'update_losses'] | |
# %% app.ipynb 1 | |
from fastai.vision.all import * | |
import gradio as gr | |
import warnings | |
warnings.filterwarnings('ignore') | |
title = "FastAI - Big Cats Classifier" | |
description = "Classify big cats using all Resnet models available pre-trained in FastAI" | |
# %% app.ipynb 2 | |
learners = { | |
"resnet-18" : 'models/resnet18-model.pkl', | |
"resnet-34" : 'models/resnet34-model.pkl', | |
"resnet-50" : 'models/resnet50-model.pkl', | |
"resnet-101": 'models/resnet101-model.pkl', | |
"resnet-152": 'models/resnet152-model.pkl' | |
} | |
models = list(learners.keys()) | |
active_name = "resnet-18" | |
active_model = learners[active_name] | |
# %% app.ipynb 3 | |
def classify_image(img): | |
learn = load_learner(active_model) | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(learn.dls.vocab, map(float, probs))) | |
def select_model(model_name): | |
if model_name not in models: | |
model_name = "resnet-18" | |
active_name = model_name | |
active_model = learners[active_name] | |
return model_name.upper() | |
def update_matrix(): | |
return "models/" + active_name.replace('-','',1) + "-confusion-matrix.png" | |
def update_losses(): | |
return "models/" + active_name.replace('-','',1) + "-top-losses.png" | |
# %% app.ipynb 5 | |
example_images = [ 'cheetah.jpg', 'jaguar.jpg', 'tiger.jpg', 'cougar.jpg', 'lion.jpg', 'african leopard.jpg', 'clouded leopard.jpg', 'snow leopard.jpg', 'hidden.png', 'hidden2.png' ] | |
model_matrix = [ 'models/resnet101-confusion-matrix.png', 'models/resnet18-confusion-matrix.png', 'models/resnet50-confusion-matrix.png', | |
'models/resnet152-confusion-matrix.png', 'models/resnet34-confusion-matrix.png' ] | |
model_losses = [ 'models/resnet101-top-losses.png', 'models/resnet18-top-losses.png', 'models/resnet50-top-losses.png', | |
'models/resnet152-top-losses.png', 'models/resnet34-top-losses.png' ] | |
demo = gr.Blocks() | |
with demo: | |
with gr.Column(variant="panel"): | |
image = gr.inputs.Image(label="Pick an image") | |
model = gr.inputs.Dropdown(label="Select a model", choices=models) | |
btnClassify = gr.Button("Classify") | |
with gr.Column(variant="panel"): | |
selected = gr.outputs.Textbox(label="Active Model") | |
with gr.Row(equal_height=True): | |
matrix=gr.outputs.Image(type='filepath', label="Confusion Matrix") | |
losses=gr.outputs.Image(type='filepath', label="Top Losses") | |
result = gr.outputs.Label(label="Result") | |
model.change(fn=select_model, inputs=model, outputs=selected) | |
btnClassify.click(fn=classify_image, inputs=image, outputs=result) | |
img_gallery = gr.Examples(examples=example_images, inputs=image) | |
matrix_gallery = gr.Examples(examples=model_matrix, label='Models Confusion Matrix', inputs=matrix) | |
loss_gallery = gr.Examples(examples=model_losses, label='Models Top Losses', inputs=losses) | |
result.change(fn=update_matrix, outputs=matrix) | |
result.change(fn=update_losses, outputs=losses) | |
demo.launch(debug=True, inline=False) | |
# intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example_images, title=title, description=description ) | |
# if __name__ == "__main__": | |
# intf.launch(debug=True, inline=False) | |