C# samples: Faster R-CNN #4733
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C# samples: Faster R-CNN #4733
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marcusturewicz
commented
Aug 7, 2020
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| ```cs | ||
| var resultsArray = results.ToArray(); | ||
| float[] boxes = resultsArray[0].AsEnumerable<float>().ToArray(); |
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This really should be .AsEnumerable<float[]>().ToArray(); but I was getting NRE. The above works but is not intuitive, given the boxes are actually output as float32[nbox,4]. Let me know if there's a better way to extract the boxes.
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/azp run Linux CPU CI Pipeline,Linux CPU x64 NoContribops CI Pipeline,Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,MacOS CI Pipeline,MacOS NoContribops CI Pipeline,Windows CPU CI Pipeline,Windows GPU CI Pipeline,Windows GPU TensorRT CI Pipeline |
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/azp run orttraining-linux-ci-pipeline,orttraining-mac-ci-pipeline,orttraining-linux-gpu-ci-pipeline,centos7_cpu,Linux OpenVINO CI Pipeline |
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Azure Pipelines successfully started running 5 pipeline(s). |
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Azure Pipelines successfully started running 9 pipeline(s). |
This was referenced May 14, 2022
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Description:
Adds a sample for running inference on Faster R-CNN object detection ONNX model with C# API.
Motivation and Context
Part of #4709