my windows eviroment is: cuda 11.0 vs2019 how to run? when i run, it tip me: can not find the nvrtc64_111_0.dll

which third_model should i to recompile them?

reading calib cache: E:\comm_Item\Item_done\onnx_tensorrt_pro\onnx_tensorrt_project-main\model\pytorch_onnx_tensorrt_yolov5\yolov5s.table TensorRT was linked against cuDNN 8.1.0 but loaded cuDNN 8.0.2 Detected 1 inputs and 7 output network tensors. TensorRT was linked against cuDNN 8.1.0 but loaded cuDNN 8.0.2 TensorRT was linked against cuDNN 8.1.0 but loaded cuDNN 8.0.2 Starting Calibration. dog.jpg 0 Calibrated batch 0 in 1.35348 seconds. person.jpg 1 Calibrated batch 1 in 1.3612 seconds. Post Processing Calibration data in 0.0005131 seconds. Calibration completed in 20.8498 seconds. reading calib cache: E:\comm_Item\Item_done\onnx_tensorrt_pro\onnx_tensorrt_project-main\model\pytorch_onnx_tensorrt_yolov5\yolov5s.table Writing Calibration Cache for calibrator: TRT-7203-MinMaxCalibration writing calib cache: E:\comm_Item\Item_done\onnx_tensorrt_pro\onnx_tensorrt_project-main\model\pytorch_onnx_tensorrt_yolov5\yolov5s.table size: 4711 TensorRT was linked against cuDNN 8.1.0 but loaded cuDNN 8.0.2 C:\source\rtSafe\cuda\cudaConvolutionRunner.cpp (483) - Cudnn Error in nvinfer1::rt::cuda::CudnnConvolutionRunner::executeConv: 8 (CUDNN_STATUS_EXECUTION_FAILED) C:\source\rtSafe\cuda\cudaConvolutionRunner.cpp (483) - Cudnn Error in nvinfer1::rt::cuda::CudnnConvolutionRunner::executeConv: 8 (CUDNN_STATUS_EXECUTION_FAILED) [2021-08-08 11:28:54.729] [info] serialize engine to E:\comm_Item\Item_done\onnx_tensorrt_pro\onnx_tensorrt_project-main\model\pytorch_onnx_tensorrt_yolov5\yolov5s_fp32_batch_1.engine [2021-08-08 11:28:54.730] [error] engine is empty, save engine failed [2021-08-08 11:28:54.731] [info] create execute context and malloc device memory... [2021-08-08 11:28:54.731] [info] init engine...

Hi,

I trained a model with the public dataset but the result is strange. Could you please some tips for training.

Thanks.

I have one class and I set the classes param to 2

unet_model = Unet(encoder_name="resnet50", encoder_weights="imagenet", decoder_channels=(256, 128, 64, 32, 16),
                  in_channels=3, classes=2)

--width: 512
--height: 512
--epoch: 30
--batchsize: 2

dataset sample: 900 images

Result:

如题，不知道作者是否遇到过，训练完成的yolov5x模型，在python版本正确率为98%，但是转换为tensorrt后经过测试，正确率只有90%左右，其中模型转换过程log如下： [09/27/2021-11:27:04] [I] Host Latency [09/27/2021-11:27:04] [I] min: 11.3848 ms (end to end 21.3677 ms) [09/27/2021-11:27:04] [I] max: 13.1256 ms (end to end 24.1753 ms) [09/27/2021-11:27:04] [I] mean: 11.67 ms (end to end 21.9034 ms) [09/27/2021-11:27:04] [I] median: 11.5836 ms (end to end 21.7285 ms) [09/27/2021-11:27:04] [I] percentile: 12.5283 ms at 99% (end to end 23.6667 ms at 99%) [09/27/2021-11:27:04] [I] throughput: 0 qps [09/27/2021-11:27:04] [I] walltime: 3.03151 s [09/27/2021-11:27:04] [I] Enqueue Time [09/27/2021-11:27:04] [I] min: 1.04535 ms [09/27/2021-11:27:04] [I] max: 4.6637 ms [09/27/2021-11:27:04] [I] median: 1.61969 ms [09/27/2021-11:27:04] [I] GPU Compute [09/27/2021-11:27:04] [I] min: 10.8311 ms [09/27/2021-11:27:04] [I] max: 12.5458 ms [09/27/2021-11:27:04] [I] mean: 11.0955 ms [09/27/2021-11:27:04] [I] median: 11.0142 ms [09/27/2021-11:27:04] [I] percentile: 11.9821 ms at 99% [09/27/2021-11:27:04] [I] total compute time: 3.01798 s &&&& PASSED TensorRT.trtexec # trtexec.exe --onnx=best.onnx --saveEngine=best.engine --fp16

Hi, I tried to transfer yolo3-spp pt file to onnx, and here is the error:

Traceback (most recent call last): File "Libtorch_yolo_to_onnx.py", line 779, in main() File "Libtorch_yolo_to_onnx.py", line 771, in main model_def = builder.build_onnx_graph( File "Libtorch_yolo_to_onnx.py", line 353, in build_onnx_graph major_node_specs = self._make_onnx_node(layer_name, layer_dict) File "Libtorch_yolo_to_onnx.py", line 426, in _make_onnx_node node_creators[layer_type](layer_name, layer_dict) File "Libtorch_yolo_to_onnx.py", line 729, in _make_yolo_node down_stride = int(layer_dict['down_stride']) KeyError: 'down_stride'

many thanks!

-Scott

Hello,

Thanks for the great work!!!

Can one use ubuntu? or must it be on Windows?

If yes, please can you provide more information for non windows users.

Thanks once again