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model = YOLO(f'http://localhost:8000/{tmodel}', task='detect')
# Run inference on the server
results = model.predict(
image_path,
imgsz=1024,
conf=0.5,
half=True,
save=False,
verbose=True
)
and my result
1024x1024 1 class0, 44.1ms
but normally class0 should be Demi-baguette...I'd like the configuration to be server-side. Thanks for your help.
The text was updated successfully, but these errors were encountered:
here is my config.pbtxt file :
and my file "P0031_labels.txt"
My client
model = YOLO(f'http://localhost:8000/{tmodel}', task='detect')
# Run inference on the server
results = model.predict(
image_path,
imgsz=1024,
conf=0.5,
half=True,
save=False,
verbose=True
)
and my result
1024x1024 1 class0, 44.1ms
but normally class0 should be Demi-baguette...I'd like the configuration to be server-side. Thanks for your help.
The text was updated successfully, but these errors were encountered: