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AssertionError: Postprocessor/convert_scores is not in graph #11

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mj13qi opened this issue Mar 22, 2018 · 2 comments
Open

AssertionError: Postprocessor/convert_scores is not in graph #11

mj13qi opened this issue Mar 22, 2018 · 2 comments

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@mj13qi
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mj13qi commented Mar 22, 2018

Hi GustavZ
I try this on my jetson-tx2 and it show this error.

/usr/local/lib/python3.5/dist-packages/matplotlib/backends/backend_gtk3agg.py:16: UserWarning: The Gtk3Agg backend is known to not work on Python 3.x with pycairo. Try installing cairocffi. "The Gtk3Agg backend is known to not work on Python 3.x with pycairo. " Model found. Proceed. Loading frozen model into memory 2018-03-22 12:57:30.670896: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:858] ARM has no NUMA node, hardcoding to return zero 2018-03-22 12:57:30.671162: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: name: NVIDIA Tegra X2 major: 6 minor: 2 memoryClockRate(GHz): 1.3005 pciBusID: 0000:00:00.0 totalMemory: 7.66GiB freeMemory: 1.76GiB 2018-03-22 12:57:30.671251: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: NVIDIA Tegra X2, pci bus id: 0000:00:00.0, compute capability: 6.2) Traceback (most recent call last): File "/home/nvidia/realtime_object_detection-master/object_detection.py", line 301, in <module> main() File "/home/nvidia/realtime_object_detection-master/object_detection.py", line 295, in main graph, score, expand = load_frozenmodel() File "/home/nvidia/realtime_object_detection-master/object_detection.py", line 128, in load_frozenmodel assert d in name_to_node_map, "%s is not in graph" % d AssertionError: Postprocessor/convert_scores is not in graph

What should I do?

@gustavz
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gustavz commented Mar 22, 2018

You are not running an SSD_Mobilenet Model.
This is a problem caused by split_model.
Set it to False in the config then it will run but ofcourse you will not benefit of the speed increase

@gustavz
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gustavz commented Apr 25, 2018

have a look at my answer in this issue #13
Maybe this helps.

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