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app.py
CHANGED
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@@ -9,10 +9,10 @@ from demo.src.models import load_trained_model
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from demo.src.utils import render_predict_from_pose, predict_to_image
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#from demo.src.config import MODEL_DIR, MODEL_NAME, FILE_ID
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st.set_page_config(page_title="DietNeRF
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def select_model():
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obj_select = st.selectbox("Select
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if obj_select == 'Chair':
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FILE_ID = "17dj0pQieo94TozFv-noSBkXebduij1aM"
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MODEL_DIR = 'models'
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@@ -25,7 +25,7 @@ def select_model():
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FILE_ID = "14ZeJ86ETQr8dtu6CFoxU-ifvniHKo_Dt"
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MODEL_DIR = 'models'
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MODEL_NAME = 'diet_nerf_ship'
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elif obj_select == '
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FILE_ID = "11vNlR4lMvV_AVFgVjZmKMrMWGVG7qhNu"
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MODEL_DIR = 'models'
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MODEL_NAME = 'diet_nerf_hotdog'
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@@ -42,7 +42,7 @@ def download_model():
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# unzip=True)
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url = f'https://drive.google.com/uc?id={FILE_ID}'
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gdown.download(url, _model_path, quiet=False)
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print(f'
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@st.cache(show_spinner=False, allow_output_mutation=True)
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@@ -72,7 +72,9 @@ caption = "Diet-NeRF achieves SoTA few-shot learning capacity in 3D model recons
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"outperforming original NeRF!"
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st.markdown(f""" <h4> {caption} </h4> """,
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unsafe_allow_html=True)
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pred_color, _ = render_predict_from_pose(state, theta, phi, radius)
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im = predict_to_image(pred_color)
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w, _ = im.size
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from demo.src.utils import render_predict_from_pose, predict_to_image
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#from demo.src.config import MODEL_DIR, MODEL_NAME, FILE_ID
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st.set_page_config(page_title="DietNeRF")
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def select_model():
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obj_select = st.selectbox("Select an object to render", ('Chair', 'Lego','Ship','Hotdog'))
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if obj_select == 'Chair':
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FILE_ID = "17dj0pQieo94TozFv-noSBkXebduij1aM"
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MODEL_DIR = 'models'
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FILE_ID = "14ZeJ86ETQr8dtu6CFoxU-ifvniHKo_Dt"
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MODEL_DIR = 'models'
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MODEL_NAME = 'diet_nerf_ship'
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elif obj_select == 'Hotdog':
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FILE_ID = "11vNlR4lMvV_AVFgVjZmKMrMWGVG7qhNu"
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MODEL_DIR = 'models'
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MODEL_NAME = 'diet_nerf_hotdog'
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# unzip=True)
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url = f'https://drive.google.com/uc?id={FILE_ID}'
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gdown.download(url, _model_path, quiet=False)
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print(f'Model downloaded from google drive: {_model_path}')
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@st.cache(show_spinner=False, allow_output_mutation=True)
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"outperforming original NeRF!"
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st.markdown(f""" <h4> {caption} </h4> """,
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unsafe_allow_html=True)
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st.markdown("")
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with st.spinner("Rendering Image, it may take 2-3 mins. So, why don't you read our report in the meantime"):
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pred_color, _ = render_predict_from_pose(state, theta, phi, radius)
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im = predict_to_image(pred_color)
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w, _ = im.size
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