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Change_Detection DSIFN_v3执行predict的时候，报错 #17

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xsbrsg opened this issue Mar 14, 2024 · 0 comments
Open

Change_Detection DSIFN_v3执行predict的时候，报错 #17

xsbrsg opened this issue Mar 14, 2024 · 0 comments

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@xsbrsg
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xsbrsg commented Mar 14, 2024

python prediction.py --checkpoint_path ./checkpoint/model/DSFIN_3-24_445.ckpt --left_input_file ./datasets/LEVIR-CD/test/A/test_1.png --right_input_file ./datasets/LEVIR-CD/test/B/test_1.png
load test weights from %s ./checkpoint/model/DSFIN_3-24_445.ckpt
loaded test weights from %s ./checkpoint/model/DSFIN_3-24_445.ckpt
================ image1 type:<class 'numpy.ndarray'>, image2 type:<class 'numpy.ndarray'>
[CRITICAL] PIPELINE(21247,7f33e350c740,python):2024-03-14-06:55:01.257.355 [luojianet_ms/ccsrc/pipeline/jit/pipeline.cc:243] CheckArgsValid] The inputs types of the outermost network 'DSIFN.construct' support bool, int, float, None, tensor, mstype.Number(mstype.bool, mstype.int, mstype.float, mstype.uint), and tuple or list containing only these types, and dict whose values are these types, but the 0th arg type is <class 'list'>, value is '[array([[[0.5411765 , 0.5529412 , 0.56078434, ..., 0.00392157,
0. , 0. ],
[0.50980395, 0.5137255 , 0.52156866, ..., 0.00784314,
0. , 0. ],
[0.52156866, 0.5176471 , 0.52156866, ..., 0. ,
0. , 0. ],
...,
[0. , 0.00784314, 0.04313726, ..., 0. ,
0.0627451 , 0.16862746],
[0.03529412, 0.07843138, 0.14901961, ..., 0. ,
0. , 0. ],
[0.07058824, 0.09803922, 0.13333334, ..., 0. ,
0. , 0. ]],

   [[0.49803922, 0.50980395, 0.5176471 , ..., 0.10196079,
     0.07450981, 0.08627451],
    [0.46666667, 0.47058824, 0.47843137, ..., 0.10588235,
     0.08235294, 0.09411765],
    [0.47843137, 0.4745098 , 0.47843137, ..., 0.08627451,
     0.07843138, 0.07450981],
    ...,
    [0.08235294, 0.09411765, 0.12941177, ..., 0.07450981,
     0.16078432, 0.26666668],
    [0.12156863, 0.16470589, 0.23529412, ..., 0.07843138,
     0.05882353, 0.09019608],
    [0.15686275, 0.18431373, 0.21960784, ..., 0.09019608,
     0.07450981, 0.08627451]],

   [[0.3882353 , 0.4       , 0.40784314, ..., 0.08627451,
     0.07450981, 0.09411765],
    [0.35686275, 0.36078432, 0.36862746, ..., 0.09019608,
     0.08235294, 0.10196079],
    [0.36862746, 0.3647059 , 0.36862746, ..., 0.07058824,
     0.06666667, 0.08235294],
    ...,
    [0.07058824, 0.08235294, 0.11764706, ..., 0.04313726,
     0.13725491, 0.2509804 ],
    [0.10980392, 0.15294118, 0.22352941, ..., 0.04313726,
     0.03529412, 0.07450981],
    [0.14509805, 0.17254902, 0.20784314, ..., 0.04705882,
     0.05098039, 0.0627451 ]]], dtype=float32), array([[[0.3372549 , 0.3372549 , 0.32941177, ..., 0.34117648,
     0.3647059 , 0.40392157],
    [0.3137255 , 0.30980393, 0.30980393, ..., 0.41960785,
     0.37254903, 0.32941177],
    [0.3254902 , 0.32156864, 0.31764707, ..., 0.49803922,
     0.43529412, 0.3764706 ],
    ...,
    [0.11372549, 0.18039216, 0.22352941, ..., 0.20392157,
     0.18431373, 0.20392157],
    [0.16078432, 0.09411765, 0.09803922, ..., 0.21176471,
     0.2627451 , 0.23921569],
    [0.14901961, 0.13333334, 0.09019608, ..., 0.18039216,
     0.19607843, 0.13333334]],

   [[0.32941177, 0.32941177, 0.32156864, ..., 0.32941177,
     0.3529412 , 0.39215687],
    [0.30588236, 0.3019608 , 0.3019608 , ..., 0.40784314,
     0.36078432, 0.31764707],
    [0.31764707, 0.3137255 , 0.30980393, ..., 0.4862745 ,
     0.42352942, 0.3647059 ],
    ...,
    [0.1254902 , 0.19215687, 0.23529412, ..., 0.21176471,
     0.19215687, 0.21176471],
    [0.17254902, 0.10588235, 0.10980392, ..., 0.21960784,
     0.27058825, 0.24705882],
    [0.16078432, 0.14509805, 0.10196079, ..., 0.1882353 ,
     0.20392157, 0.14117648]],

   [[0.27058825, 0.27058825, 0.2627451 , ..., 0.30980393,
     0.33333334, 0.37254903],
    [0.24705882, 0.24313726, 0.24313726, ..., 0.3882353 ,
     0.34117648, 0.29803923],
    [0.25882354, 0.25490198, 0.2509804 , ..., 0.46666667,
     0.40392157, 0.34509805],
    ...,
    [0.08235294, 0.14901961, 0.19215687, ..., 0.16078432,
     0.14117648, 0.16078432],
    [0.12941177, 0.0627451 , 0.06666667, ..., 0.16862746,
     0.21960784, 0.19607843],
    [0.11764706, 0.10196079, 0.05882353, ..., 0.13333334,
     0.14901961, 0.08627451]]], dtype=float32)]'.

For more details, please search 'outermost network' at https://www.luojianet_ms.cn.
Traceback (most recent call last):
File "prediction.py", line 102, in
pred_single(args_opt.checkpoint_path,args_opt.left_input_file,args_opt.right_input_file,args_opt.output_folder)
File "prediction.py", line 80, in pred_single
output = model(images).asnumpy()
File "/usr/local/lib/python3.7/dist-packages/luojianet_ms/nn/cell.py", line 587, in call
out = self.compile_and_run(*args)
File "/usr/local/lib/python3.7/dist-packages/luojianet_ms/nn/cell.py", line 965, in compile_and_run
self.compile(*inputs)
File "/usr/local/lib/python3.7/dist-packages/luojianet_ms/nn/cell.py", line 938, in compile
_cell_graph_executor.compile(self, *inputs, phase=self.phase, auto_parallel_mode=self._auto_parallel_mode)
File "/usr/local/lib/python3.7/dist-packages/luojianet_ms/common/api.py", line 1007, in compile
result = self._graph_executor.compile(obj, args_list, phase, self._use_vm_mode())
TypeError: luojianet_ms/ccsrc/pipeline/jit/pipeline.cc:243 CheckArgsValid] The inputs types of the outermost network 'DSIFN.construct' support bool, int, float, None, tensor, mstype.Number(mstype.bool, mstype.int, mstype.float, mstype.uint), and tuple or list containing only these types, and dict whose values are these types, but the 0th arg type is <class 'list'>, value is '[array([[[0.5411765 , 0.5529412 , 0.56078434, ..., 0.00392157,
0. , 0. ],
[0.50980395, 0.5137255 , 0.52156866, ..., 0.00784314,
0. , 0. ],
[0.52156866, 0.5176471 , 0.52156866, ..., 0. ,
0. , 0. ],
...,
[0. , 0.00784314, 0.04313726, ..., 0. ,
0.0627451 , 0.16862746],
[0.03529412, 0.07843138, 0.14901961, ..., 0. ,
0. , 0. ],
[0.07058824, 0.09803922, 0.13333334, ..., 0. ,
0. , 0. ]],

   [[0.49803922, 0.50980395, 0.5176471 , ..., 0.10196079,
     0.07450981, 0.08627451],
    [0.46666667, 0.47058824, 0.47843137, ..., 0.10588235,
     0.08235294, 0.09411765],
    [0.47843137, 0.4745098 , 0.47843137, ..., 0.08627451,
     0.07843138, 0.07450981],
    ...,
    [0.08235294, 0.09411765, 0.12941177, ..., 0.07450981,
     0.16078432, 0.26666668],
    [0.12156863, 0.16470589, 0.23529412, ..., 0.07843138,
     0.05882353, 0.09019608],
    [0.15686275, 0.18431373, 0.21960784, ..., 0.09019608,
     0.07450981, 0.08627451]],

   [[0.3882353 , 0.4       , 0.40784314, ..., 0.08627451,
     0.07450981, 0.09411765],
    [0.35686275, 0.36078432, 0.36862746, ..., 0.09019608,
     0.08235294, 0.10196079],
    [0.36862746, 0.3647059 , 0.36862746, ..., 0.07058824,
     0.06666667, 0.08235294],
    ...,
    [0.07058824, 0.08235294, 0.11764706, ..., 0.04313726,
     0.13725491, 0.2509804 ],
    [0.10980392, 0.15294118, 0.22352941, ..., 0.04313726,
     0.03529412, 0.07450981],
    [0.14509805, 0.17254902, 0.20784314, ..., 0.04705882,
     0.05098039, 0.0627451 ]]], dtype=float32), array([[[0.3372549 , 0.3372549 , 0.32941177, ..., 0.34117648,
     0.3647059 , 0.40392157],
    [0.3137255 , 0.30980393, 0.30980393, ..., 0.41960785,
     0.37254903, 0.32941177],
    [0.3254902 , 0.32156864, 0.31764707, ..., 0.49803922,
     0.43529412, 0.3764706 ],
    ...,
    [0.11372549, 0.18039216, 0.22352941, ..., 0.20392157,
     0.18431373, 0.20392157],
    [0.16078432, 0.09411765, 0.09803922, ..., 0.21176471,
     0.2627451 , 0.23921569],
    [0.14901961, 0.13333334, 0.09019608, ..., 0.18039216,
     0.19607843, 0.13333334]],

   [[0.32941177, 0.32941177, 0.32156864, ..., 0.32941177,
     0.3529412 , 0.39215687],
    [0.30588236, 0.3019608 , 0.3019608 , ..., 0.40784314,
     0.36078432, 0.31764707],
    [0.31764707, 0.3137255 , 0.30980393, ..., 0.4862745 ,
     0.42352942, 0.3647059 ],
    ...,
    [0.1254902 , 0.19215687, 0.23529412, ..., 0.21176471,
     0.19215687, 0.21176471],
    [0.17254902, 0.10588235, 0.10980392, ..., 0.21960784,
     0.27058825, 0.24705882],
    [0.16078432, 0.14509805, 0.10196079, ..., 0.1882353 ,
     0.20392157, 0.14117648]],

   [[0.27058825, 0.27058825, 0.2627451 , ..., 0.30980393,
     0.33333334, 0.37254903],
    [0.24705882, 0.24313726, 0.24313726, ..., 0.3882353 ,
     0.34117648, 0.29803923],
    [0.25882354, 0.25490198, 0.2509804 , ..., 0.46666667,
     0.40392157, 0.34509805],
    ...,
    [0.08235294, 0.14901961, 0.19215687, ..., 0.16078432,
     0.14117648, 0.16078432],
    [0.12941177, 0.0627451 , 0.06666667, ..., 0.16862746,
     0.21960784, 0.19607843],
    [0.11764706, 0.10196079, 0.05882353, ..., 0.13333334,
     0.14901961, 0.08627451]]], dtype=float32)]'.

For more details, please search 'outermost network' at https://www.luojianet_ms.cn.
貌似是输入的数据类型不对
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@xsbrsg