Open odwdinc opened 2 years ago
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
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:
Expected behavior plist should be 2 floats
Actual behaviour plist is = ('//./////, //./////')
Screenshots
Please complete the following information