Katsuya Hyodo

Results 221 comments of Katsuya Hyodo

64-bit wheel succeeded without any problems. ## Build Procedure ```bash $ sudo apt update && sudo apt upgrade -y $ sudo apt install -y \ cmake \ libglu1-mesa-dev \ libgl1-mesa-dev...

I have tested both 10 batches and 1 batch of Lite-HRNet. 1. Ubuntu 20.04.3 LTS 2. Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz 3. NVIDIA GeForce RTX 3070 4. N batch:...

I don't know if this will help you all, but I am sharing the workaround as I have successfully exported to ONNX and confirmed that I can successfully reason about...

https://github.com/fenglinglwb/EDT

I think it is a combination of onnx-tensorrt and TensorRT versions. In my environment, using a combination of TensorRT and onnx-tensorrt in a version newer than this will always degrade...

I have committed the model converted to OpenVINO IR, although I am still in the process of trial and error and haven't tested it yet. I hope I can be...

TFLite Float32, Float16, Dynamic Range Quantization, INT8, EdgeTPU, ONNX, CoreML, TFJS, TF-TRT, OpenVINO IR FP32/FP16, Myriad Inference Engine Blob. https://github.com/PINTO0309/PINTO_model_zoo/tree/main/085_Yolact_Edge/30_Full_Converted_mbnv2_550x550 - Convert tool https://github.com/PINTO0309/openvino2tensorflow - Model of the source https://github.com/haotian-liu/yolact_edge/issues/7#issuecomment-766545213

All were successful. :+1: https://github.com/PINTO0309/yolact_edge_onnx_tensorrt_myriad

I have discussed this in my repository issues. **https://github.com/PINTO0309/PINTO_model_zoo/issues/53** I haven't tried it yet to see if it works properly. ![100876665-0887ab80-34eb-11eb-83e7-a5e072528e41](https://user-images.githubusercontent.com/33194443/101269004-f89eee80-37ac-11eb-9948-ee5689275796.png)

Processing asynchronously will shift the frame position slightly, but it will be faster. If you process in synchronization, the frame will not shift, but it will be slightly slower. Use...