Comments (2)
自己的模型要修改类别名字,类别数据不对越界了。
但是我比较奇怪的是,上面的assert不会报错吗?
from yolov5-seg-opencv-onnxruntime-cpp.
opencv的话你需要将用到的.h头文件中的参数设置改对,netW和H改成你导出的时候用imgs大小,然后segW和segH为你训练的时候imgs除以mask缩放系数。onnx那边同理,不过onnx可以支持动态的推理,设置可能复杂一些,但是参数含义是固定的,你能理解下这些参数的意思就知道怎么设置了。
如果还是不行的话,你可以提供一下模型,我可以帮你看下要改哪些位置的参数,还是参数正确,代码出现了bug
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
- 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.