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authentication remove
Browse files- Dockerfile +14 -0
- Procfile +1 -1
- app_savta.py +0 -26
- heroku.yml +1 -1
Dockerfile
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FROM python:3.9
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EXPOSE $PORT
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WORKDIR /app
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COPY requirements.txt requirements.txt
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RUN pip install -r requirements.txt
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COPY /app /app
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COPY /examples /examples
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CMD source setup.sh && python /app/app_savta.py
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Procfile
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web: source setup.sh && python app_savta.py
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web: source setup.sh && python app/app_savta.py
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app_savta.py
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import numpy as np
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import gradio as gr
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title = "SavtaDepth WebApp"
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description = "Monocular Depth Estimation - Turn 2d photos into 3d photos"
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article = "<p style='text-align: center'><a href='https://dagshub.com/OperationSavta/SavtaDepth' target='_blank'>SavtaDepth Project from OperationSavta</a></p><p style='text-align: center'><a href='https://colab.research.google.com/drive/1XU4DgQ217_hUMU1dllppeQNw3pTRlHy1?usp=sharing' target='_blank'>Google Colab Demo</a></p></center></p>"
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examples = [
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["examples/00008.jpg"],
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["examples/00045.jpg"],
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]
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def sepia(input_img):
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sepia_filter = np.array(
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[[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]]
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)
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sepia_img = input_img.dot(sepia_filter.T)
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sepia_img /= sepia_img.max()
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return sepia_img
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iface = gr.Interface(sepia, gr.inputs.Image(shape=(200, 200)), "image", title = title, description = description, article = article, examples = examples)
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iface.launch(enable_queue=True, auth=("admin", "pass1234"))
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heroku.yml
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docker:
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web: Dockerfile
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run:
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web: source setup.sh && python app_savta.py
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docker:
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web: Dockerfile
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run:
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web: source setup.sh && app/python app_savta.py
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