Downloads · 30 days
18
35% of all-time downloads
7500435232814_copy
lucasaltmann/7500435232814_copy
7500435232814_copy is a machine learning model from lucasaltmann. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
<div align="center" <img width="640" alt="lucasaltmann/7500435232814copy" src="https://huggingface.co/lucasaltmann/7500435232814copy/resolve/main/thumbnail.jpg" </div
All-time downloads
52
Public
Repo size
137 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt137 MB · 99%
At a glance
- Model type
- v8
- Access
- Public
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025
- SHA
- 09072125
Model card
From the Hugging Face model README
<div align="center">
<img width="640" alt="lucasaltmann/7500435232814_copy" src="https://huggingface.co/lucasaltmann/7500435232814_copy/resolve/main/thumbnail.jpg">
</div>
Supported Labels
['7500435232814']
How to use
- Install ultralyticsplus:
pip install ultralyticsplus==0.0.29 ultralytics==8.0.239
- Load model and perform prediction:
from ultralyticsplus import YOLO, render_result
# load model
model = YOLO('lucasaltmann/7500435232814_copy')
# 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()
- Type
- v8
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025