Modify this part to use OpenVINO Toolkit perform inference on video stream
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@ahkhalwai @Harkirat155 In the model you use here would not able detect road crack you only can detect car or person because it's a pre-trained model.
Please use the following path to get label_map.pbtxt and read it. You will know which should be able to detect.
Hello @ahkhalwai,
The following is the result I run the last cell encouter error
2020-02-24 02:16:16.590382: W tensorflow/compiler/xla/service/platform_util.cc:256] unable to create StreamExecutor for CUDA:0: failed initializing StreamExecutor for CUDA device ordinal 0: Internal: failed call to cuDevicePrimaryCtxRetain: CUDA_ERROR_OUT_OF_MEMORY: out of memory; total memory reported: 7981694976. 2020-02-24 02:16:16.590651: F tensorflow/stream_executor/lib/statusor.cc:34] Attempting to fetch value instead of handling error Internal: no supported devices found for platform CUDA
Just restart the kernel and it will work. I can't check it for now I'm outside... But I believe, releasing the memory would work.
It's a memory error for hardware acceleration, and generally would have risen from multiple excutions of the detection and inference code.
it's run successfully
might be need to restart the kernel and make sure,it's not by mistakenly move to tpu, that is also possible produce an error