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Update app.py
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app.py
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@@ -1,11 +1,10 @@
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from huggingface_hub import hf_hub_download
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from inference import YOLOv10
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import gradio as gr
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import cv2
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from huggingface_hub import hf_hub_download
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from gradio_webrtc import WebRTC
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from twilio.rest import Client
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import os
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model_file = hf_hub_download(
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repo_id="onnx-community/yolov10n", filename="onnx/model.onnx"
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@@ -13,11 +12,6 @@ model_file = hf_hub_download(
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model = YOLOv10(model_file)
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def detection(image, conf_threshold=0.3):
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image = cv2.resize(image, (model.input_width, model.input_height))
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new_image = model.detect_objects(image, conf_threshold)
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return new_image
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account_sid = os.environ.get("TWILIO_ACCOUNT_SID")
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auth_token = os.environ.get("TWILIO_AUTH_TOKEN")
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@@ -33,15 +27,30 @@ if account_sid and auth_token:
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else:
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rtc_configuration = None
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with gr.Blocks(css=css) as demo:
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gr.HTML(
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"""
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"""
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)
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with gr.Column(elem_classes=["my-column"]):
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import gradio as gr
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import cv2
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from huggingface_hub import hf_hub_download
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from gradio_webrtc import WebRTC
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from twilio.rest import Client
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import os
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from inference import YOLOv10
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model_file = hf_hub_download(
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repo_id="onnx-community/yolov10n", filename="onnx/model.onnx"
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model = YOLOv10(model_file)
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account_sid = os.environ.get("TWILIO_ACCOUNT_SID")
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auth_token = os.environ.get("TWILIO_AUTH_TOKEN")
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else:
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rtc_configuration = None
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def detection(image, conf_threshold=0.3):
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image = cv2.resize(image, (model.input_width, model.input_height))
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new_image = model.detect_objects(image, conf_threshold)
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return cv2.resize(new_image, (500, 500))
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css = """.my-group {max-width: 600px !important; max-height: 600 !important;}
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.my-column {display: flex !important; justify-content: center !important; align-items: center !important};"""
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with gr.Blocks(css=css) as demo:
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gr.HTML(
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"""
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<h1 style='text-align: center'>
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YOLOv10 Webcam Stream (Powered by WebRTC ⚡️)
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</h1>
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"""
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)
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gr.HTML(
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"""
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<h3 style='text-align: center'>
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<a href='https://arxiv.org/abs/2405.14458' target='_blank'>arXiv</a> | <a href='https://github.com/THU-MIG/yolov10' target='_blank'>github</a>
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</h3>
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"""
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)
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with gr.Column(elem_classes=["my-column"]):
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