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Update app.py
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app.py
CHANGED
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@@ -1,87 +1,62 @@
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# import cv2
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# import streamlit as st
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# from streamlit_webrtc import webrtc_streamer, VideoHTMLAttributes
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# import numpy as np
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# import av
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# st.title("OpenCV Filters on Video Stream")
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# filter = "none"
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# def transform(frame: av.VideoFrame):
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# img = frame.to_ndarray(format="bgr24")
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# if filter == "blur":
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# img = cv2.GaussianBlur(img, (21, 21), 0)
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# elif filter == "canny":
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# img = cv2.cvtColor(cv2.Canny(img, 100, 200), cv2.COLOR_GRAY2BGR)
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# elif filter == "grayscale":
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# # We convert the image twice because the first conversion returns a 2D array.
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# # the second conversion turns it back to a 3D array.
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# img = cv2.cvtColor(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), cv2.COLOR_GRAY2BGR)
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# elif filter == "sepia":
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# kernel = np.array(
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# [[0.272, 0.534, 0.131], [0.349, 0.686, 0.168], [0.393, 0.769, 0.189]]
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# )
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# img = cv2.transform(img, kernel)
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# elif filter == "invert":
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# img = cv2.bitwise_not(img)
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# elif filter == "none":
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# pass
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# return av.VideoFrame.from_ndarray(img, format="bgr24")
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# col1, col2, col3, col4, col5, col6 = st.columns([1, 1, 1, 1, 1, 1])
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# with col1:
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# if st.button("None"):
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# filter = "none"
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# with col2:
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# if st.button("Blur"):
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# filter = "blur"
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# with col3:
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# if st.button("Grayscale"):
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# filter = "grayscale"
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# with col4:
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# if st.button("Sepia"):
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# filter = "sepia"
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# with col5:
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# if st.button("Canny"):
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# filter = "canny"
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# with col6:
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# if st.button("Invert"):
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# filter = "invert"
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# webrtc_streamer(
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# key="streamer",
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# video_frame_callback=transform,
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# sendback_audio=False
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# )
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import streamlit as st
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import cv2
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| 1 |
import cv2
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| 2 |
+
import streamlit as st
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+
from streamlit_webrtc import webrtc_streamer, VideoHTMLAttributes
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+
import numpy as np
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import av
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st.title("OpenCV Filters on Video Stream")
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+
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filter = "none"
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+
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+
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def transform(frame: av.VideoFrame):
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img = frame.to_ndarray(format="bgr24")
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if filter == "blur":
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img = cv2.GaussianBlur(img, (21, 21), 0)
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elif filter == "canny":
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img = cv2.cvtColor(cv2.Canny(img, 100, 200), cv2.COLOR_GRAY2BGR)
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elif filter == "grayscale":
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# We convert the image twice because the first conversion returns a 2D array.
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# the second conversion turns it back to a 3D array.
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img = cv2.cvtColor(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), cv2.COLOR_GRAY2BGR)
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elif filter == "sepia":
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kernel = np.array(
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[[0.272, 0.534, 0.131], [0.349, 0.686, 0.168], [0.393, 0.769, 0.189]]
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)
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img = cv2.transform(img, kernel)
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elif filter == "invert":
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img = cv2.bitwise_not(img)
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elif filter == "none":
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pass
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return av.VideoFrame.from_ndarray(img, format="bgr24")
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+
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col1, col2, col3, col4, col5, col6 = st.columns([1, 1, 1, 1, 1, 1])
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with col1:
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if st.button("None"):
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filter = "none"
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with col2:
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if st.button("Blur"):
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filter = "blur"
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with col3:
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if st.button("Grayscale"):
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filter = "grayscale"
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with col4:
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if st.button("Sepia"):
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filter = "sepia"
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with col5:
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if st.button("Canny"):
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filter = "canny"
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with col6:
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if st.button("Invert"):
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filter = "invert"
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webrtc_streamer(
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key="streamer",
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video_frame_callback=transform,
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sendback_audio=False
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)
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