def main():
try:
st.markdown("<h1 style='text-align: center; color: red;'>App Name</h1>", unsafe_allow_html=True)
st.markdown("<h2 style='text-align: center; color: black;'>Common Objects Detection</h2>", unsafe_allow_html=True)
st.write("")
st.title("Webcam Live Feed")
run = st.checkbox('Run')
FRAME_WINDOW = st.image([])
camera = cv2.VideoCapture(0)
st.write("")
#img_uploaded = st.file_uploader("Choose an Image",type=["jpeg","jpg"])
st.markdown("<h5 style='text-align: center; color: black;'>Attaching a faulty/unclear image may result in wrong prediction or no prediction at all. </h5>", unsafe_allow_html=True)
st.markdown("<h4 style='text-align: center; color: red;'>Classifying...</h4>", unsafe_allow_html=True)
st.markdown("<h4 style='text-align: center; color: black;'>The Object is a :</h4>", unsafe_allow_html=True)
temp=''
while run:
caching.clear_cache()
_, frame = camera.read()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
FRAME_WINDOW.image(frame)
#img_pil = PIL.Image.open(frame)
#img_tensor = T.ToTensor()(img_pil)
#img_fastai = Image(img_tensor)
img_t = pil2tensor(frame, np.float32)
img_t.div_(255.0)
image = Image(img_t)
a,cat_tensor,c = learn.predict(image)
if temp!=str(a):
st.write(str(a))
st.write("")
st.write("")
st.write("")
st.write('')
temp=str(a)
else:
st.write('Stopped')
except Exception:
pass
if __name__ == '__main__':
main()
Now, everytime it gives predicts on the webcam feed, it prints a new output and the page gets too big. Is there a way, I can keep updating/refreshing the output ?