RuntimeError:无法从输入流解析Dictionary

时间:2019-04-22 20:10:23

标签: tensorflow pytorch object-detection cntk faster-rcnn

我对cntk完全陌生。我最近在装有GeForce 940MX GPU的PC(Windows 10,i5-7200U CPU)上安装了cntk 2.7(GPU版本)。我正在尝试设置cntk和下面的链接中提供的更快的rcnn对象检测示例 https://docs.microsoft.com/en-us/cognitive-toolkit/object-detection-using-faster-r-cnn

我正在尝试运行玩具示例。

在Examples / Image / Detection / FastRCNN文件夹中运行install_data_and_model.py后

我运行run_faster_rcnn.py示例/图像/检测/ FasterRCNN文件夹

我收到以下错误:

Selected GPU[0] GeForce 940MX as the process wide default device.

About to throw exception 'Failed to parse Dictionary from the input stream.'
Traceback (most recent call last):
File "run_faster_rcnn.py", line 34, in 
trained_model = train_faster_rcnn(cfg)

File "C:\Users\HP-PC\Anaconda3\Lib\site-packages\cntk\Examples\Image\Detection\FasterRCNN\FasterRCNN_train.py", line 291, in train_faster_rcnn
eval_model = train_faster_rcnn_e2e(cfg)

File "C:\Users\HP-PC\Anaconda3\Lib\site-packages\cntk\Examples\Image\Detection\FasterRCNN\FasterRCNN_train.py", line 314, in train_faster_rcnn_e2e
loss, pred_error = create_faster_rcnn_model(image_input, roi_input, dims_node, cfg)

File "C:\Users\HP-PC\Anaconda3\Lib\site-packages\cntk\Examples\Image\Detection\FasterRCNN\FasterRCNN_train.py", line 177, in create_faster_rcnn_model
base_model = load_model(cfg['BASE_MODEL_PATH'])

File "C:\Users\HP-PC\Anaconda3\lib\site-packages\cntk\internal\swig_helper.py", line 69, in wrapper
result = f(*args, **kwds)

File "C:\Users\HP-PC\Anaconda3\lib\site-packages\cntk\ops\functions.py", line 1721, in load_model
return Function.load(model, device, format)

File "C:\Users\HP-PC\Anaconda3\lib\site-packages\cntk\internal\swig_helper.py", line 69, in wrapper
result = f(*args, **kwds)

File "C:\Users\HP-PC\Anaconda3\lib\site-packages\cntk\ops\functions.py", line 1635, in load
return cntk_py.Function.load(str(model), device, format.value)

RuntimeError: Failed to parse Dictionary from the input stream.


[CALL STACK]
> CNTK::Internal:: UseSparseGradientAggregationInDataParallelSGD

- CNTK::operator>>

- CNTK::Function:: Load

- PyInit__cntk_py (x2)

- PyCFunction_Call

- PyEval_GetFuncDesc

- PyEval_EvalFrameEx (x2)

- PyFunction_SetAnnotations

- PyObject_Call

- PyEval_GetFuncDesc

- PyEval_EvalFrameEx (x2)

- PyEval_GetFuncDesc (x2)

有人可以帮助我解决所有问题吗?

1 个答案:

答案 0 :(得分:0)

在保存最后一个模型时关闭cntk时,总是会发生此错误,因此模型文件会中断