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loading my own .onnx model for use with ros_deep_learning #33
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For me it worked with a little fiddling... Unfortunately my converted Yolov3-tiny results in:
seems that something else is wrong... regards |
@fwarmuth unfortunately not :( |
@BHamlen How is the performance? i thought tensorRT will result in higher FPS. |
@fwarmuth Performance on the xavier with a 720p webcam is about 15-20fps. I'm sure tensorRT will result in higher FPS, yeah. What is your application? |
@BHamlen Hey, my application is an Safety AGV, some autonomous moving thing with sensors :D. But unfortently i can NOT get the tensorRT things to work with my retrained networks.... |
ah yeah I was having problems with opencv versions too. I went through a couple attempts with different versions so I dont remember exactly, but I believe having opencv 4.x was what ended up working |
hi @dusty-nv
Hope all is well! I trained a model on darknet, yolov3 with my own dataset, then converted that to a .onnx file. How can I load that model to use with ros_deep_learning?
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