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app_videochat.py
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app_videochat.py
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import logging
import math
from typing import List
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal # type: ignore
import av
import cv2
import numpy as np
import streamlit as st
from streamlit_server_state import server_state, server_state_lock
from streamlit_webrtc import (
VideoProcessorBase,
WebRtcMode,
WebRtcStreamerContext,
create_mix_track,
create_process_track,
webrtc_streamer,
)
logger = logging.getLogger(__name__)
class OpenCVVideoProcessor(VideoProcessorBase):
type: Literal["noop", "cartoon", "edges", "rotate"]
def __init__(self) -> None:
self.type = "noop"
def recv(self, frame: av.VideoFrame) -> av.VideoFrame:
img = frame.to_ndarray(format="bgr24")
if self.type == "noop":
pass
elif self.type == "cartoon":
# prepare color
img_color = cv2.pyrDown(cv2.pyrDown(img))
for _ in range(6):
img_color = cv2.bilateralFilter(img_color, 9, 9, 7)
img_color = cv2.pyrUp(cv2.pyrUp(img_color))
# prepare edges
img_edges = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
img_edges = cv2.adaptiveThreshold(
cv2.medianBlur(img_edges, 7),
255,
cv2.ADAPTIVE_THRESH_MEAN_C,
cv2.THRESH_BINARY,
9,
2,
)
img_edges = cv2.cvtColor(img_edges, cv2.COLOR_GRAY2RGB)
# combine color and edges
img = cv2.bitwise_and(img_color, img_edges)
elif self.type == "edges":
# perform edge detection
img = cv2.cvtColor(cv2.Canny(img, 100, 200), cv2.COLOR_GRAY2BGR)
elif self.type == "rotate":
# rotate image
rows, cols, _ = img.shape
M = cv2.getRotationMatrix2D((cols / 2, rows / 2), frame.time * 45, 1)
img = cv2.warpAffine(img, M, (cols, rows))
return av.VideoFrame.from_ndarray(img, format="bgr24")
def mixer_callback(frames: List[av.VideoFrame]) -> av.VideoFrame:
buf_w = 640
buf_h = 480
buffer = np.zeros((buf_h, buf_w, 3), dtype=np.uint8)
n_inputs = len(frames)
n_cols = math.ceil(math.sqrt(n_inputs))
n_rows = math.ceil(n_inputs / n_cols)
grid_w = buf_w // n_cols
grid_h = buf_h // n_rows
for i in range(n_inputs):
frame = frames[i]
if frame is None:
continue
grid_x = (i % n_cols) * grid_w
grid_y = (i // n_cols) * grid_h
img = frame.to_ndarray(format="bgr24")
src_h, src_w = img.shape[0:2]
aspect_ratio = src_w / src_h
window_w = min(grid_w, int(grid_h * aspect_ratio))
window_h = min(grid_h, int(window_w / aspect_ratio))
window_offset_x = (grid_w - window_w) // 2
window_offset_y = (grid_h - window_h) // 2
window_x0 = grid_x + window_offset_x
window_y0 = grid_y + window_offset_y
window_x1 = window_x0 + window_w
window_y1 = window_y0 + window_h
buffer[window_y0:window_y1, window_x0:window_x1, :] = cv2.resize(
img, (window_w, window_h)
)
new_frame = av.VideoFrame.from_ndarray(buffer, format="bgr24")
return new_frame
def main():
with server_state_lock["webrtc_contexts"]:
if "webrtc_contexts" not in server_state:
server_state["webrtc_contexts"] = []
with server_state_lock["mix_track"]:
if "mix_track" not in server_state:
server_state["mix_track"] = create_mix_track(
kind="video", mixer_callback=mixer_callback, key="mix"
)
mix_track = server_state["mix_track"]
self_ctx = webrtc_streamer(
key="self",
mode=WebRtcMode.SENDRECV,
rtc_configuration={"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]},
media_stream_constraints={"video": True, "audio": True},
source_video_track=mix_track,
sendback_audio=False,
)
self_process_track = None
if self_ctx.input_video_track:
self_process_track = create_process_track(
input_track=self_ctx.input_video_track,
processor_factory=OpenCVVideoProcessor,
)
mix_track.add_input_track(self_process_track)
self_process_track.processor.type = st.radio(
"Select transform type",
("noop", "cartoon", "edges", "rotate"),
key="filter1-type",
)
with server_state_lock["webrtc_contexts"]:
webrtc_contexts: List[WebRtcStreamerContext] = server_state["webrtc_contexts"]
self_is_playing = self_ctx.state.playing and self_process_track
if self_is_playing and self_ctx not in webrtc_contexts:
webrtc_contexts.append(self_ctx)
server_state["webrtc_contexts"] = webrtc_contexts
elif not self_is_playing and self_ctx in webrtc_contexts:
webrtc_contexts.remove(self_ctx)
server_state["webrtc_contexts"] = webrtc_contexts
if self_ctx.state.playing:
# Audio streams are transferred in SFU manner
# TODO: Create MCU to mix audio streams
for ctx in webrtc_contexts:
if ctx == self_ctx or not ctx.state.playing:
continue
webrtc_streamer(
key=f"sound-{id(ctx)}",
mode=WebRtcMode.RECVONLY,
rtc_configuration={
"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]
},
media_stream_constraints={"video": False, "audio": True},
source_audio_track=ctx.input_audio_track,
desired_playing_state=ctx.state.playing,
)
if __name__ == "__main__":
import os
DEBUG = os.environ.get("DEBUG", "false").lower() not in ["false", "no", "0"]
logging.basicConfig(
format="[%(asctime)s] %(levelname)7s from %(name)s in %(pathname)s:%(lineno)d: "
"%(message)s",
force=True,
)
logger.setLevel(level=logging.DEBUG if DEBUG else logging.INFO)
st_webrtc_logger = logging.getLogger("streamlit_webrtc")
st_webrtc_logger.setLevel(logging.DEBUG if DEBUG else logging.INFO)
aioice_logger = logging.getLogger("aioice")
aioice_logger.setLevel(logging.WARNING)
fsevents_logger = logging.getLogger("fsevents")
fsevents_logger.setLevel(logging.WARNING)
main()