Comments (10)
very good work!
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请问一下,vivado hls 的TestBench Files 是在那一部分当中?
from yolov2_xilinx_fpga.
请问一下,vivado hls 的TestBench Files 是在那一部分当中?
I'm writing the accelerator of YOLOv2-Tiny, maybe you can be waiting until Friday this week? I will add the testbench of YOLOv2 and add the accelerator of YOLOv2-Tiny to this project.
Thanks!
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Thank you ! I am willing to wait!
from yolov2_xilinx_fpga.
Thank you ! I am willing to wait!
I have added the testbench to hls repo, but it will spend too much time. GOOD LUCK!
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Thank you, I want to follow your work.
from yolov2_xilinx_fpga.
Hello, I trained the network with my own data set. How can I convert the trained parameters into your format, can you help me?
Just use the traditional convert method in reference[6]. If you can wait for two weeks, the whole design will be available. I will create anthor project to introduce the design in detail. But I will use C/C++ source code in SDK instead of Python. The design is still being optimized, maybe the latency will decrease to nearly 1s.
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I saw in the yolov2_hls_ps function in the yolov2.h file that there is an operation to read the yolov2_w_reorg_bn_ap16_short16.bin file. However, there is no such file in the project. Where is this file? What is the content inside?
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I saw in the yolov2_hls_ps function in the yolov2.h file that there is an operation to read the yolov2_w_reorg_bn_ap16_short16.bin file. However, there is no such file in the project. Where is this file? What is the content inside?
You can find it in the HLS folder and have a link
Thank you very much, have found, the simulation has passed
from yolov2_xilinx_fpga.
Hello, I trained the network with my own data set. How can I convert the trained parameters into your format, can you help me?
Just use the traditional convert method in reference[6]. If you can wait for two weeks, the whole design will be available. I will create anthor project to introduce the design in detail. But I will use C/C++ source code in SDK instead of Python. The design is still being optimized, maybe the latency will decrease to nearly 1s.
First of all, thank you very much for sharing. I have a question to ask. I have a new yolov2.weights. How can I convert it into weight.weights and bias.weights? I need to convert the model to caffemodel first. Follow-up work? If not, can you provide a reference method for you? thank you very much
Hi, I'm meeting a deadline, but I will create a new project to explain it in two days. Related link will be available in the homepage. Good Luck!
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