Comments (1)
I got the same error in forward.
I'm not sure whether it is caused by this pr, because I run it in Python(opencv-python 4.7.0.68) without error.
import cv2
import numpy as np
print(cv2.__version__)
net =cv2.dnn.readNetFromONNX("./yolov5s-seg.onnx")
size=(640,640,3)
img=np.zeros(size,dtype=np.uint8)
blob=cv2.dnn.blobFromImage(img,1/255.0,size=size[0:2],mean=(0,0,0),swapRB=True)
net.setInput(blob)
out=net.getUnconnectedOutLayersNames()
print(out)
pred1,pred2=net.forward(out)
print(pred1.shape,pred2.shape)
At present, it can be determined that there will be problems under the cpp, so I plan to cmake the source code and debug it.
from yolov5-seg-opencv-onnxruntime-cpp.
Related Issues (20)
- 错误字符串 HOT 4
- 请问onnxruntime安装是GPU版本的吗?【目前,我使用onnxruntime-cpu 1.12.0可以解决问题了】 HOT 9
- BUG HOT 3
- 预训练模型加载正常,但自训练模型报错 HOT 2
- 怎么使用? HOT 8
- 请问这种情况是哪地方错误了? HOT 5
- 为什么运行不出现结果 HOT 1
- 为什么c++推理时间比python中的推理时间更长? HOT 12
- onnxruntime推理出错 HOT 3
- 引发了异常: 读取访问权限冲突。 **Ort::GetApi**(...) 返回 nullptr。 HOT 2
- 移植问题 HOT 8
- 如何在ubuntu下运行? HOT 2
- undefined reference to `OrtSessionOptionsAppendExecutionProvider_CUDA' HOT 1
- Detect failed! HOT 1
- 运行时间 HOT 1
- mask =mask(temp_rect -Point(left, top)) > mask_threshold;请问这句话是什么意思?我总是在这里报错 HOT 8
- GPU推理内存占用过大 HOT 3
- c++推理结果与python推理结果不一致问题 HOT 16
- 代码崩溃: HOT 18
- Does this software work in a Ubuntu 18.04 machine without GPU? HOT 7
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from yolov5-seg-opencv-onnxruntime-cpp.