Ultralytics YOLOv8.0.92 🚀 Python-3.10.7 torch-2.0.0+cpu CPU
Model summary (fused): 168 layers, 3006038 parameters, 0 gradients, 8.1 GFLOPs
image 1/304 /usr/src/datasets/platen-switch/images/train/1.jpg: 480x640 22 closes, 14 opens, 51.7ms
image 2/304 /usr/src/datasets/platen-switch/images/train/2.jpg: 384x640 12 closes, 24 opens, 45.7ms
image 3/304 /usr/src/datasets/platen-switch/images/train/3.jpg: 576x640 12 closes, 33 opens, 62.3ms
Speed: 3.7ms preprocess, 45.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)