ObjectDetection-CoreML
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tucan9389
An example running Object Detection using Core ML (YOLOv8, YOLOv5, YOLOv3, MobileNetV2+SSDLite)
from ultralytics import YOLO model=YOLO('runs/detect/train/weights/best.pt') model.export(format='coreml',nms=True) CoreML: export failure ❌ 9.9s: 1 name found for nc=8395 CoreML model is not converted. I have found this error when I use nms=True,...
i use model.export(format="mlmodel",nms=True) , get and use yolov8n.mlmodel in your project , but i get the results is different from your provided mlmodel. how do you transfrom and get the...
i use yolo11n.mlmodel, but the dectect results is completely different with .pt