Spaces:
Running
on
Zero
Running
on
Zero
File size: 3,630 Bytes
76adb70 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 |
import gradio as gr
from ultralytics import YOLO
import spaces
@spaces.GPU(duration=200)
def LeYOLO_inference(image, model_id, image_size, conf_threshold, iou_threshold):
model = YOLO(f"{model_id}.pt")
results = model(source=image, imgsz=image_size, iou=iou_threshold, conf=conf_threshold, verbose=False)[0]
def app():
with gr.Blocks():
with gr.Row():
with gr.Column():
image = gr.Image(type="pil", label="Image")
model_id = gr.Dropdown(
label="Model",
choices=[
"yolov10n",
"yolov10s",
"yolov10m",
"yolov10b",
"yolov10l",
"yolov10x",
],
value="yolov10m",
)
image_size = gr.Slider(
label="Image Size",
minimum=320,
maximum=1280,
step=32,
value=640,
)
conf_threshold = gr.Slider(
label="Confidence Threshold",
minimum=0.1,
maximum=1.0,
step=0.1,
value=0.25,
)
iou_threshold = gr.Slider(
label="IoU Threshold",
minimum=0.1,
maximum=1.0,
step=0.1,
value=0.45,
)
yolov10_infer = gr.Button(value="Detect Objects")
with gr.Column():
output_image = gr.Image(type="pil", label="Annotated Image")
yolov10_infer.click(
fn=yolov10_inference,
inputs=[
image,
model_id,
image_size,
conf_threshold,
iou_threshold,
],
outputs=[output_image],
)
gr.Examples(
examples=[
[
"dog.jpeg",
"yolov10x",
640,
0.25,
0.45,
],
[
"huggingface.jpg",
"yolov10m",
640,
0.25,
0.45,
],
[
"zidane.jpg",
"yolov10b",
640,
0.25,
0.45,
],
],
fn=LeYOLO_inference,
inputs=[
image,
model_id,
image_size,
conf_threshold,
iou_threshold,
],
outputs=[output_image],
cache_examples="lazy",
)
gradio_app = gr.Blocks()
with gradio_app:
gr.HTML(
"""
<h1 style='text-align: center'>
YOLOv10: Real-Time End-to-End Object Detection
</h1>
""")
gr.HTML(
"""
<h3 style='text-align: center'>
Follow me for more!
<a href='https://twitter.com/kadirnar_ai' target='_blank'>Twitter</a> | <a href='https://github.com/kadirnar' target='_blank'>Github</a> | <a href='https://www.linkedin.com/in/kadir-nar/' target='_blank'>Linkedin</a> | <a href='https://www.huggingface.co/kadirnar/' target='_blank'>HuggingFace</a>
</h3>
""")
with gr.Row():
with gr.Column():
app()
gradio_app.launch(debug=True) |