Downloads · 30 days
4
0% of all-time downloads
lucasaltmann/glade
glade is a object detection model from lucasaltmann. Use it when you need objects located in an image. It is set up for ultralytics.
<div align="center" <img width="640" alt="lucasaltmann/gladebase3" src="https://huggingface.co/lucasaltmann/gladebase3/resolve/main/thumbnail.jpg" </div
Downloads · 30 days
4
0% of all-time downloads
All-time downloads
6.3K
Public
Repo size
137 MB
Likes
0
Public
Click a slice to open those files.
.pt137 MB · 100%
From the Hugging Face model README
['product']
pip install ultralyticsplus==0.0.29 ultralytics==8.0.239
from ultralyticsplus import YOLO, render_result
# load model
model = YOLO('lucasaltmann/glade_base3')
# set model parameters
model.overrides['conf'] = 0.25 # NMS confidence threshold
model.overrides['iou'] = 0.45 # NMS IoU threshold
model.overrides['agnostic_nms'] = False # NMS class-agnostic
model.overrides['max_det'] = 1000 # maximum number of detections per image
# set image
image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'
# perform inference
results = model.predict(image)
# observe results
print(results[0].boxes)
render = render_result(model=model, image=image, result=results[0])
render.show()