Comments (4)
@dujuan1999 Yes. You could use your own datasets. For object detection task, please refer to these training scripts. For tracking, you could refer to SkyNet/Tracking/tools/ in this repo.
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@deepseek In iSmartDNN repo, DNN training is done by GPU. After training, you could import your model to different devices (GPU, FPGA, CPU) for inference.
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@deepseek In iSmartDNN repo, DNN training is done by GPU. After training, you could import your model to different devices (GPU, FPGA, CPU) for inference.
Hello, I want to train a new network for object detection task. I found that it isn't NAS but a fixed network structure in iSmartDNN repo. Could u please provide the related source-code for the CNN network searching project?
If convenience, you could contact me via the CAS-email : [email protected]
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Hey @DeyanLan, thanks for the question. I had the same problem. I too was looking for NAS instead of the fixed n/w. Did you get any updates from the author? Any help would be appreciated.
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Related Issues (18)
- training code HOT 8
- Puzzle of generating weights_float.bin HOT 3
- notebook deployment issue... HOT 1
- Still not self aware
- Multiple Objects Detection
- How can I train on dac sdc contest's dataset? HOT 1
- how do you weights_fixed.bin and weights_floating.bin? HOT 1
- How can it be added to mmdetection ?
- AttributeError: 'Xlnk' object has no attribute 'bufmap' HOT 1
- using script.tcl to build a prj in vivado hls 2018.3 error HOT 4
- TimeoutError: [Errno 110] Connection timed out
- Error on loading Overlay: "Could not find the specified .tcl file" HOT 5
- IOU is not 0.731 HOT 1
- KeyError: 'power1' HOT 2
- training skynet
- synthesis lut cost 188% of what's available in xczu9eg HOT 4
- questions about speed performance on Ultra96v2
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