20065320rp
commited on
Commit
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219422d
1
Parent(s):
eee3a62
Update app.py
Browse files
app.py
CHANGED
@@ -1,11 +1,44 @@
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import gradio as gr
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import numpy as np
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demo = gr.Interface(
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gr.Image(source="webcam", streaming=True),
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"image",
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live=True
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import gradio as gr
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import numpy as np
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from ultralyticsplus import YOLO, render_result
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import cv2
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from PIL import Image
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from cv2 import imshow
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from cv2 import imwrite
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#def flip(im):
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# return np.flipud(im)
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def PPE(image):
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# load model
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#model = YOLO('keremberke/yolov8m-protective-equipment-detection')
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model = YOLO('keremberke/yolov8m-hard-hat-detection')
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# set model parameters
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model.overrides['conf'] = 0.25 # NMS confidence threshold
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model.overrides['iou'] = 0.45 # NMS IoU threshold
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model.overrides['agnostic_nms'] = False # NMS class-agnostic
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model.overrides['max_det'] = 1000 # maximum number of detections per image
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# perform inference
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results = model.predict(image)
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# observe results
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print(results[0].boxes)
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render = render_result(model=model, image=image, result=results[0])
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render.show()
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demo = gr.Interface(
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PPE,
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gr.Image(source="webcam", streaming=True),
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"image",
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live=True
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