doing something
https://github.com/egorsmkv/rf-detr-usls Source code for it #rust #cv
With CUDA it's just 11MB
🔥1
Inferecing an audio file using onnxruntime with TensorRT
Audio duration: 02:37:47
Inference duration: ~4 minutes
Repo: https://github.com/egorsmkv/pyannote-onnx-rust
#ai #speech #rust
Audio duration: 02:37:47
Inference duration: ~4 minutes
Repo: https://github.com/egorsmkv/pyannote-onnx-rust
#ai #speech #rust
doing something
Large model (FP32) of RF-DETR has these speed and memory usage #cv #ai #rust #onnx
Also, tested it on A100 with TensorRT:
https://colab.research.google.com/drive/1-agoo5ll-hWEecWQAtO1FM39sqavJxph?usp=sharing
Results are not so obvious, but it works base_rfdetr_fp16.onnx model and gives ~10ms/img
https://colab.research.google.com/drive/1-agoo5ll-hWEecWQAtO1FM39sqavJxph?usp=sharing
Results are not so obvious, but it works base_rfdetr_fp16.onnx model and gives ~10ms/img
Google
RF-DETR + USLS on TensorRT (A100).ipynb
Colab notebook
Forwarded from Hacker News