Comments (1)
UNeedCryDear
commented on June 19, 2024
stride size是用来控制你你的检测头有多少个输出口的，像P5模型有三个输出口（类似yolov5n/s/m/x/l-seg.pt），分别是8,16,32步长，那么stride就是3,而有些检测用的是P6模型，类似yolov5n6/s6/x6/l6-seg.pt等等，这种的步长是8,16,32,64，stide size就是4.
至于设置，看你用的预训练模型或者model.yaml里面的设置是哪种类型。你如果不知道的话，可以用https://netron.app/ 打开你的onnx模型，看下你的输入输出显示的是多少的。
另外，修改成自己的模型，你还要换class names，这个参数要换成你自己的类别名，至少长度要对的上才行，不然就是越界段错误，或者检测结果不对。
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.