Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

strange output from kpu.forward #469

Open
odwdinc opened this issue Jun 27, 2022 · 0 comments
Open

strange output from kpu.forward #469

odwdinc opened this issue Jun 27, 2022 · 0 comments

Comments

@odwdinc
Copy link

odwdinc commented Jun 27, 2022

Describe the bug
Trying to run custom Object classification model trained @ https://maixhub.com/ModelTraining

To Reproduce
When running the provided boot.py an error in the output of:

img = sensor.snapshot()
fmap = kpu.forward(task, img)
plist=fmap[:]
print(plist)

Expected behavior
plist should be 2 floats

Actual behaviour
plist is = ('//./////, //./////')

Screenshots

MicroPython v0.5.0-98-g7ec09ea22-dirty on 2020-07-21; Sipeed_M1 with kendryte-k210
Type "help()" for more information.
init i2c2
[MAIXPY]: find ov7740
###free gc heap memory : 87 KB
###free sys heap memory: 280 KB
layer[0]: KL_K210_CONV, 1364 bytes
layer[1]: KL_K210_CONV, 1024 bytes
layer[2]: KL_K210_CONV, 2048 bytes
layer[3]: KL_K210_CONV, 1280 bytes
layer[4]: KL_K210_CONV, 5888 bytes
layer[5]: KL_K210_CONV, 2048 bytes
layer[6]: KL_K210_CONV, 10496 bytes
layer[7]: KL_K210_CONV, 2048 bytes
layer[8]: KL_K210_CONV, 20480 bytes
layer[9]: KL_K210_CONV, 3840 bytes
layer[10]: KL_K210_CONV, 38912 bytes
layer[11]: KL_K210_CONV, 3840 bytes
layer[12]: KL_K210_CONV, 77312 bytes
layer[13]: KL_K210_CONV, 6912 bytes
layer[14]: KL_K210_CONV, 151040 bytes
layer[15]: KL_K210_CONV, 6912 bytes
layer[16]: KL_K210_CONV, 151040 bytes
layer[17]: KL_K210_CONV, 6912 bytes
layer[18]: KL_K210_CONV, 151040 bytes
layer[19]: KL_K210_CONV, 6912 bytes
layer[20]: KL_K210_CONV, 151040 bytes
layer[21]: KL_K210_CONV, 6912 bytes
layer[22]: KL_K210_CONV, 151040 bytes
layer[23]: KL_K210_CONV, 6912 bytes
layer[24]: KL_K210_CONV, 301568 bytes
layer[25]: KL_K210_CONV, 13568 bytes
layer[26]: KL_K210_CONV, 596480 bytes
layer[27]: KL_DEQUANTIZE, 24 bytes
layer[28]: KL_GLOBAL_AVERAGE_POOL2D, 24 bytes
layer[29]: KL_QUANTIZE, 24 bytes
layer[30]: KL_K210_ADD_PADDING, 16 bytes
layer[31]: KL_K210_CONV, 1960 bytes
layer[32]: KL_K210_REMOVE_PADDING, 16 bytes
layer[33]: KL_DEQUANTIZE, 24 bytes
layer[34]: KL_SOFTMAX, 16 bytes
None [{"index":0, "type":KL_K210_CONV, "wi":224, "hi":224, "wo":112, "ho":112, "chi":3, "cho":24, "dw":0, "kernel_type":1, "pool_type":5, "para_size":648}, {"index":1, "type":KL_K210_CONV, "wi":112, "hi":112, "wo":112, "ho":112, "chi":24, "cho":24, "dw":1, "kernel_type":1, "pool_type":0, "para_size":216}, {"index":2, "type":KL_K210_CONV, "wi":112, "hi":112, "wo":112, "ho":112, "chi":24, "cho":48, "dw":0, "kernel_type":0, "pool_type":0, "para_size":1152}, {"index":3, "type":KL_K210_CONV, "wi":112, "hi":112, "wo":112, "ho":112, "chi":48, "cho":48, "dw":1, "kernel_type":1, "pool_type":0, "para_size":432}, {"index":4, "type"(//./////, //./////)
(//./////, //./////)

Please complete the following information

  • IDE version: 0.2.5
  • Firmware version: v0.5.0-98-g7ec09ea22-dirty
  • Board: M5StickV
  • OS: Windows 11
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant