Comments (7)
您好,我自己的模型是5个类别,4个关键点的,也无法生成engine文件,关键点还好说,但是类别不为1,请问您后续有解决方法吗?
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实验官方模型通过。 自己的模型,一个类别,4个关键点的,在转换为engine文件的时候失败了,【TRT】【E】报错在层294的参数对不上。 已经更改了config.h中的变量为4,种类为1。 然后将数据集略作更改,强行转换为17个关键点,不存在的关键点置为000,训练成功,转换成功。 我个人才疏学浅,屡经测试,想破头脑,但还是未能成功,想问一下,工程中的yolov8-pose是不是不支持自己的模型呢?
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您好,我自己的模型是5个类别,4个关键点的,也无法生成engine文件,关键点还好说,但是类别不为1,请问您后续有解决方法吗?
from tensorrtx.
您好,我自己的模型是5个类别,4个关键点的,也无法生成engine文件,关键点还好说,但是类别不为1,请问您后续有解决方法吗?
#1512
您好,您指出已经添加了类别的支持,但是测试后似乎还不支持自定义关键点数量这个参数
from tensorrtx.
您好,我自己的模型是5个类别,4个关键点的,也无法生成engine文件,关键点还好说,但是类别不为1,请问您后续有解决方法吗?
#1512
您好,您指出已经添加了类别的支持,但是测试后似乎还不支持自定义关键点数量这个参数
you can refer to #1512
from tensorrtx.
您好,我自己的模型是5个类别,4个关键点的,也无法生成engine文件,关键点还好说,但是类别不为1,请问您后续有解决方法吗?
#1512
您好,您指出已经添加了类别的支持,但是测试后似乎还不支持自定义关键点数量这个参数you can refer to #1512
非常感谢,问题已经解决!再次感谢您的帮助
from tensorrtx.
您好,我自己的模型是5个类别,4个关键点的,也无法生成engine文件,关键点还好说,但是类别不为1,请问您后续有解决方法吗?
#1512
您好,您指出已经添加了类别的支持,但是测试后似乎还不支持自定义关键点数量这个参数you can refer to #1512
非常感谢,问题已经解决!再次感谢您的帮助
fine ,you can close this issure
from tensorrtx.
Related Issues (20)
- 自己数据集训练的yolov9模型tensorrt的输出结果与pytorch结果差别很大,精度完全没有对齐 HOT 10
- 虽然最终得到了engine模型,但是报了这个错误,我是否应该忽视 HOT 1
- yolov8 TRT问题 HOT 4
- There is an error in the reasoning process of yolov8
- Yolov5 v6.0 inference with FP16 HOT 1
- 关于yolov8静态库的问题:[E] [TRT] 3: getPluginCreator could not find plugin: YoloLayer_TRT version: 1 HOT 2
- Yolov8-pose gpu后处理【催更】 HOT 2
- yolov8cls 输出 HOT 2
- Yolov8 creating wts fails for newly trained models. HOT 3
- yolov8n-seg模型的int8转化报错 HOT 3
- Yolov8 segmentation mask are not good, no mask found in some bounding boxes. HOT 4
- Platform for converting to .wts file HOT 1
- Convert single class .pt custom model to .wts model error HOT 2
- TensorRT10.2.0.19生成.engine报错 HOT 3
- 当我试图将一张图片分割之后填入batch再进行推理时报错
- yolov8GPU
- 分享一个arcface trt python代码,亲测可用 HOT 1
- cuda11.8与tensorrt 8.6.1.6不适配?
- What is calib_table_name and input_blob_name? HOT 1
- Set specific Cuda stream ID in Cpp implimentation code. HOT 2
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