Comments (4)
Hi, you should pick the set of s
values (in the example 64 and 96) that both works for your input image size and the max and min size of the object you want to recognize in the scene.
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and i tried to re-run the road signs with same picture and there's no box in it. is it possible that actually error?
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It is possible, the neural network does not have an 100% accuracy. It is important nonetheless that the tiling of the original image is performed correctly. This means making sure that the crop of the original image is done such that one or more tiles completely embed the object you want to recognize.
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Hi Mr. giuliogamba,
Now i know what should i do, i appreciate with your answer and i'm very happy to discuss it again with you.
Thank You So Much
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Related Issues (20)
- Not able to detect 64-bit Architecture while rebuilding the design HOT 2
- Pre-synthesis failed (Hardware rebuild error) HOT 1
- CASSERT_DATAFLOW condition is not met HOT 2
- BNN on COLAB HOT 1
- How to modify the block design?
- ERROR: Command errored out with exit status 128: git clone -q https://github.com/Xilinx/BNN-PYNQ.git /tmp/pip-req-build-juh8zblg Check the logs for full command output. HOT 8
- CSim failed with errors HOT 6
- edit tcl file HOT 6
- csim error HOT 5
- Cant find library and locate the .so file HOT 6
- Is it possible to run on zc706 board?
- New CNV model with input dimension 64x64x3.
- Implement Cifar-10 in real time on PYNQ-Z2 HOT 1
- is it possible to do real time object detection?
- is there any update for Tiny-YOLO-BNN project?
- ValueError: Cannot find HWH file for /home/xilinx/BNN-PYNQ/bnn/bitstreams/cnv-pynq-pynq.bit.
- Images per second HOT 2
- [SIM 211-100] 'csim_design' failed: compilation error(s). rebuilding error HOT 3
- Changes to be made in overlay to modify the BNN
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