Description
Model | size (pixels) |
mAPval 50-95 |
Speed CPU ONNX (ms) |
Speed A100 TensorRT (ms) |
params (M) |
FLOPs (B) |
---|---|---|---|---|---|---|
YOLOv8x | 640 | 53.9 | 479.1 | 3.53 | 68.2 | 257.8 |
To install TACO, clone TACO repository.
git clone https://github.com/pedropro/TACO
cd yolov5
pip install -r requirements.txt
2. Create an Anaconda Environment for YOLOv8
cd /Users/mattiegisselbeck/yolov5
conda create --name yolov5 python=3.8