Hi,
I*m following Jaryd’s formidable guide on https://core-electronics.com.au/guides/custom-object-detection-models-without-training-yoloe-and-raspberry-pi/ Everything works like clock until the format conversion. Once I run 'Prompt-Free ONNX Conversion.py, I get this error message, no matter which format I try to use:
Traceback (most recent call last):
File “/home/jert/YOLOE/demo_code/YOLOE Run Model.py”, line 2, in
from picamera2 import Picamera2
File “/usr/lib/python3/dist-packages/picamera2/init.py”, line 11, in
from .picamera2 import Picamera2, Preview
File “/usr/lib/python3/dist-packages/picamera2/picamera2.py”, line 30, in
from picamera2.encoders import Encoder, H264Encoder, MJPEGEncoder, Quality
File “/usr/lib/python3/dist-packages/picamera2/encoders/init.py”, line 7, in
from .encoder import Encoder, Quality
File “/usr/lib/python3/dist-packages/picamera2/encoders/encoder.py”, line 13, in
from ..request import _MappedBuffer
File “/usr/lib/python3/dist-packages/picamera2/request.py”, line 13, in
import simplejpeg
File “/usr/lib/python3/dist-packages/simplejpeg/init.py”, line 1, in
from ._jpeg import encode_jpeg, encode_jpeg_yuv_planes
File “simplejpeg/_jpeg.pyx”, line 1, in init simplejpeg._jpeg
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
What happens? And, of course, how to cure it?