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Raise errors automatically (#69)

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* Add auto errors

* change code

---------

Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local>
This commit is contained in:
Freddy Boulton
2025-02-24 20:21:25 -05:00
committed by GitHub
parent c36fb8da50
commit 5a4693ee0b
20 changed files with 297 additions and 344 deletions
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16
demo/object_detection/app.py
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@@ -5,7 +5,7 @@ import cv2
import gradio as gr
from fastapi import FastAPI
from fastapi.responses import HTMLResponse
from fastrtc import Stream, WebRTCError, get_twilio_turn_credentials
from fastrtc import Stream, get_twilio_turn_credentials
from gradio.utils import get_space
from huggingface_hub import hf_hub_download
from pydantic import BaseModel, Field
@@ -26,16 +26,10 @@ model = YOLOv10(model_file)
def detection(image, conf_threshold=0.3):
try:
image = cv2.resize(image, (model.input_width, model.input_height))
print("conf_threshold", conf_threshold)
new_image = model.detect_objects(image, conf_threshold)
return cv2.resize(new_image, (500, 500))
except Exception as e:
import traceback
traceback.print_exc()
raise WebRTCError(str(e))
image = cv2.resize(image, (model.input_width, model.input_height))
print("conf_threshold", conf_threshold)
new_image = model.detect_objects(image, conf_threshold)
return cv2.resize(new_image, (500, 500))
stream = Stream(