Comments (8)
win上请安装官网最新develop版本的paddle,版本号是0.0.0
单卡运行总bs只有2实在过小了不建议训,原版总bs是8x32=256。如果要训建议训tiny,并注意加载coco权重预训练,参照doc
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是没解决方案了,是么
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不推荐win训,开发的时候没有win机器调试。
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YOLO的检测建议bs至少大于32去训
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您好,后续有解决这个问题吗?
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请安装最新develop版本的paddle,别的环境如numpy等版本也请都升级下,建议最好使用linux平台
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请安装最新develop版本的paddle,别的环境如numpy等版本也请都升级下,建议最好使用linux平台
我在AIStudio里训yolov8也会报: OSError: (External) CUDA error(719), unspecified launch failure.
[Hint: 'cudaErrorLaunchFailure'. An exception occurred on the device while executing a kernel. Common causes include dereferencing an invalid device pointerand accessing out of bounds shared memory. Less common cases can be system specific - more information about these cases canbe found in the system specific user guide. This leaves the process in an inconsistent state and any further CUDA work willreturn the same error. To continue using CUDA, the process must be terminated and relaunched.] (at ../paddle/phi/backends/gpu/cuda/cuda_info.cc:267).....由于是自制数据集coco_detction类别设置为了1,但我数据集是单类别类别id是8,所以我改成10之后就可以训了,但目前来看效果好像一般...
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Related Issues (20)
- 多卡训练卡住不继续运行 HOT 1
- PaddleYOLOv8是否支持关键点检测 HOT 2
- YOLOv8在客制化数据集上训练出现SystemError HOT 3
- 是否支持yolov8的实例分割训练和检测 HOT 1
- 目标检测:忽略某些模糊的目标 HOT 3
- yolov8训练好的模型如何在vc++生成的项目中调用? HOT 3
- 使用预训练的模型进行推理,有识别结果。基于预训练的模型训练Visdrone数据集后,使用训练后的模型进行推理,检测多张该数据集的图片,均无识别结果。 HOT 5
- 单机多卡,拉去gpu版本的docker,进行版本验证时只能使用单张gpu,已安装nccl 2.8.3 HOT 3
- 现在支持训练yolov8了吗? HOT 3
- Single-class yolov7 training hangs HOT 2
- ins_seg分支YOLOv5、v8和PPYOLOE seg目前支持训练了吗 HOT 3
- PaddleYolo训练时报错 HOT 4
- ppyoloe的8卡长训结果和官方对不齐 HOT 1
- yolov5无法复现PaddleYOLO官方结果 HOT 4
- 利好Paddle......yolov5,yolov8表示,只要你用了模型,包含ONNX模型,都必须要开源 HOT 1
- 模型保存时报错 HOT 3
- Export model for inference HOT 1
- ppyoloe_seg的实例分割模型下载链接失效了 HOT 2
- PPYoloe+在PaddleServing上部署报错segmentatioin fault HOT 1
- Tensorrt export failed HOT 1
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