zye1996
zye1996
Your training rate is too small. Change back to 0.004 would make a difference.
> hi, it's possible to train and deploy a "homemade" cnn to run on the vision kit? > i have trained a model like this: https://github.com/tensorflow/docs/blob ... /cnn.ipynb > >...
看起来实际模型并没有量化 “量化”后每一层参数中找不到对应量化因子
> 是的，我刚刚实践过证明确实不是这个问题。这个是转换时候的log，我的确注意到一个可疑点，在log的最后(它貌似显示已经跳过量化)： > > ``` > 2021-04-07 17:30:18.483685: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:316] Ignored output_format. > 2021-04-07 17:30:18.483728: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:319] Ignored drop_control_dependency. > 2021-04-07 17:30:18.483736: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:325] Ignored change_concat_input_ranges. > 2021-04-07 17:30:18.484557: I...
unable to produce the result the same as the original, it seems no person class is deteced. wondering if you have any idea? Thx  
sure no problem. here is the image 
> @zye1996 I think its not related to nncase version alone, I am using an earlier version even that is having this problem all of a sudden, can you let...
> which version of SDK are you using, is it the latest from github or kendryte website? I am using the version 0.5.6 and it should be the lastest release...
My toolchain is 8.2.0 as with platformio
I simply printed out through serial port as I do not have a debug tool.