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tensorflow.python.framework.errors_impl.InvalidArgumentError: Input to reshape is a tensor with 12288 values, but the requested shape has 76800 [[Node: input/Reshape = Reshape[T=DT_UINT8, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:GPU:0"](input/DecodeRaw/_2099, input/Reshape/shape)]] [[Node: input/per_image_standardization/_2101 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_32_input/per_image_standardization", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
The text was updated successfully, but these errors were encountered:
@weiyuxingchen your input image must be (1601603) use cv2.resize to resize image instead of imutils.
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tensorflow.python.framework.errors_impl.InvalidArgumentError: Input to reshape is a tensor with 12288 values, but the requested shape has 76800
[[Node: input/Reshape = Reshape[T=DT_UINT8, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:GPU:0"](input/DecodeRaw/_2099, input/Reshape/shape)]]
[[Node: input/per_image_standardization/_2101 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_32_input/per_image_standardization", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
The text was updated successfully, but these errors were encountered: