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potato
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a256f81
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Parent(s):
d7a6e77
Deleted description
Browse files- app.py +0 -10
- src/core.py +3 -2
app.py
CHANGED
@@ -44,16 +44,6 @@ if 'reuse_image' not in st.session_state:
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def set_image(img):
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st.session_state.reuse_image = img
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st.title("AI Photo Object Removal")
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st.image(open("assets/demo.png", "rb").read())
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st.markdown(
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"""
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So you want to remove an object in your photo? You don't need to learn photo editing skills.
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**Just draw over the parts of the image you want to remove, then our AI will remove them.**
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"""
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)
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uploaded_file = st.file_uploader("Choose image", accept_multiple_files=False, type=["png", "jpg", "jpeg"])
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if uploaded_file is not None:
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def set_image(img):
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st.session_state.reuse_image = img
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uploaded_file = st.file_uploader("Choose image", accept_multiple_files=False, type=["png", "jpg", "jpeg"])
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if uploaded_file is not None:
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src/core.py
CHANGED
@@ -64,9 +64,10 @@ ENERGY_MASK_CONST = 100000.0 # large energy value for protective ma
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MASK_THRESHOLD = 10 # minimum pixel intensity for binary mask
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USE_FORWARD_ENERGY = True # if True, use forward energy algorithm
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device = torch.device("cpu")
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model_path = "./assets/big-lama.pt"
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model = torch.jit.load(model_path, map_location=
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model = model.to(device)
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model.eval()
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MASK_THRESHOLD = 10 # minimum pixel intensity for binary mask
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USE_FORWARD_ENERGY = True # if True, use forward energy algorithm
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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print(device)
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model_path = "./assets/big-lama.pt"
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model = torch.jit.load(model_path, map_location=device)
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model = model.to(device)
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model.eval()
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