zdl
zdl
我是用gen_wts.py 获得了模型的wts文件(该模型基于yolov7-tiny训练),成功的使用api搭建了网络,同时也生成了engine文件,但是我推理的时候出现什么也检测不到,我的推理后处理均是基于该项目的yolov5,这是什么原因导致的呢。。。  
环境: VS2019+cuda11.4+trt8.2+opencv4.5 包含目录:  库目录:  报错信息:...请问这是哪里除了问题了吗, 
我之前设置了trtpy set-key sxaivip 安装了trt get-env 之后在查看就报错,请问该怎么设置 Download failed: http://zifuture.com:1556/fs/sxaivip .txt Traceback (most recent call last): File "/root/miniconda3/envs/TensorRT/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/root/miniconda3/envs/TensorRT/lib/python3.7/runpy.py", line 85, in _run_code exec(code,...
### Search before asking - [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and found no similar questions. ### Question i use yolov8 train mydata ,but have Last error:...
我下载了最新的trt_pro的程序,使用了里面的exmple_simple_yolo,编译的时候没有出现问题,可以正常使用,但是使用自己模型就会出现问题:  我已经导出为动态的bs,pytorch=1.10,请问这是什么原因,我设置了绝对路径也是包这样的错误。。。
作者您好,我训练自己的数据集(格式为:Tusimple格式)出现一下错误:我应该如何修改呢  数据集格式:  config如何: dataset= 'Tusimple' data_root= 'train_dataset' # Need to be modified before running epoch= 100 batch_size= 1 optimizer= 'SGD' learning_rate= 0.05 weight_decay= 0.0001 momentum= 0.9 scheduler= 'multi'...
### Required prerequisites - [X] I have read the documentation . - [X] I have searched the [Issue Tracker](https://github.com/baichuan-inc/baichuan-7B/issues) and [Discussions](https://github.com/baichuan-inc/baichuan-7B/discussions) that this hasn't already been reported. (+1 or comment...
paddlex==2.0.0 cuda ==10.2 paddlepaddle==2.1 根据文档进行dll的导出,参考了文档里面的分割模型代码 https://github.com/PaddlePaddle/PaddleX/tree/develop/deploy/cpp/docs/csharp_deploy 出现一下问题:  我的语义分割模型是基于paddlex训练的UNet模型, C#代码: byte[] color_map = get_color_map_list(256); string model_type = "seg"; string model_filename = "F:\\PaddleData2\\semantic_seg\\segmodel\\unet\\inference_model\\inference_model\\model.pdmodel"; string params_filename = "F:\\PaddleData2\\semantic_seg\\segmodel\\unet\\inference_model\\inference_model\\model.pdiparams"; string cfg_file = "F:\\PaddleData2\\semantic_seg\\segmodel\\unet\\inference_model\\inference_model\\model.yml";...
问题1: demo里面有没有量化后的demo案例吗?? 问题2:我已经将yolov5s进行了量化,也量化成功了。如下图所示:  但是我在代码中测试发现输出全乱了,如果不使用量化模型输出是正常的。  这啥原因呢,还有就是我需要反量化吗??没看到API有反量化的参数呀