Update app.py
Browse files
app.py
CHANGED
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@@ -41,8 +41,6 @@ css = """
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}
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"""
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DEVICE = 'cuda' if torch.cuda.is_available() else 'mps'
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import json
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from EcoDepth.model import EcoDepth
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@@ -59,14 +57,14 @@ args = Args()
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args_indoor = copy.deepcopy(args)
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args_indoor.no_of_classes = 100
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args_indoor.max_depth = 10
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model_indoor = EcoDepth(args_indoor).
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model_str_indoor = f"{args.ckpt_path}/weights_indoor.ckpt"
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model_indoor.load_state_dict(torch.load(model_str_indoor, map_location="cpu", weights_only=True)["state_dict"])
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args_outdoor = copy.deepcopy(args)
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args_outdoor.no_of_classes = 200
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args_outdoor.max_depth = 80
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model_outdoor = EcoDepth(args_outdoor).
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model_str_outdoor = f"{args.ckpt_path}/weights_outdoor.ckpt"
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model_outdoor.load_state_dict(torch.load(model_str_outdoor, map_location="cpu", weights_only=True)["state_dict"])
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}
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"""
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import json
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from EcoDepth.model import EcoDepth
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args_indoor = copy.deepcopy(args)
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args_indoor.no_of_classes = 100
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args_indoor.max_depth = 10
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model_indoor = EcoDepth(args_indoor).eval()
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model_str_indoor = f"{args.ckpt_path}/weights_indoor.ckpt"
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model_indoor.load_state_dict(torch.load(model_str_indoor, map_location="cpu", weights_only=True)["state_dict"])
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args_outdoor = copy.deepcopy(args)
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args_outdoor.no_of_classes = 200
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args_outdoor.max_depth = 80
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model_outdoor = EcoDepth(args_outdoor).eval()
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model_str_outdoor = f"{args.ckpt_path}/weights_outdoor.ckpt"
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model_outdoor.load_state_dict(torch.load(model_str_outdoor, map_location="cpu", weights_only=True)["state_dict"])
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