tensorrtx
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Implementation of popular deep learning networks with TensorRT network definition API
严重性 代码 说明 项目 文件 行 禁止显示状态 错误 LNK2019 无法解析的外部符号 "void __cdecl preprocess_kernel_img(unsigned char *,int,int,float *,int,int,struct CUstream_st *)" (?preprocess_kernel_img@@YAXPEAEHHPEAMHHPEAUCUstream_st@@@Z),函数 main 中引用了该符号 yolov5 D:\yanyi\project_process\Completed_projects\yolo-deploy\tensorrtx-master\yolov5\build\yolov5.obj 1
## About this repo - commit - https://github.com/wang-xinyu/tensorrtx/commit/0f944b89750c2cd2e6be7933f84d61eb4e34ec83? - model - SWIN-Transformer ## Your problem ``` python gen_wts.py upernet_swin_tiny_patch4_window7_512x512.pth Traceback (most recent call last): File "gen_wts.py", line 8, in model...
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。。。 ![image](https://user-images.githubusercontent.com/46549527/178684625-6e373442-61aa-4a3a-b061-c111880c5713.png) ![image](https://user-images.githubusercontent.com/46549527/178684882-7e687b71-68a9-4b7e-9853-7e55b72b9c9b.png)
yolov7 just conming.this project will suport pt->wts->trt?
## Env Jetson NX + Cuda 10.2 + TRT 8.2.1.8 ## About this repo SlowFast (RoI Head) ## Your problem When I run the code: doInference_slowfast(*context_action, data_fast, data_slow, proposals, prob_data,...
Thank you for your awesome implementation of yolo models. I wonder are you planning to integrate yolov7 to tensorrtx?
具体报错如下: [root@ecs-7d42 build]# cmake .. -- The C compiler identification is GNU 4.8.5 -- The CXX compiler identification is GNU 4.8.5 -- Check for working C compiler: /usr/bin/cc -- Check...
## Env ## Env - GPU,RTX1080Ti. - Ubuntu18.04 - Cuda 10.2 - TensorRT 7.0.0 ## About this repo yolov5l/yolov5m/yolov5s ## Your problem yolov5l 使用int8,make/转换都可以,推理时间明显减少,10ms即可,但是检测不到目标,阈值设置很低了都不行。 yolov5s/yolov5m,make/转换都可以,推理时间没有明显变化,有的甚至增加了,但是能检测到目标。 还在找问题