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https://github.com/HumanAIGC-Engineering/gradio-webrtc.git
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sync code of fastrtc, add text support through datachannel, fix safari connect problem support chat without camera or mic
58 lines
1.8 KiB
Markdown
58 lines
1.8 KiB
Markdown
# Video Streaming
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## Input/Output Streaming
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We already saw this example in the [Quickstart](../../#quickstart) and the [Core Concepts](../streams) section.
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=== "Code"
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``` py title="Input/Output Streaming"
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from fastrtc import Stream
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import gradio as gr
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def detection(image, conf_threshold=0.3): # (1)
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processed_frame = process_frame(image, conf_threshold)
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return processed_frame # (2)
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stream = Stream(
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handler=detection,
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modality="video",
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mode="send-receive", # (3)
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additional_inputs=[
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gr.Slider(minimum=0, maximum=1, step=0.01, value=0.3)
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],
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)
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```
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1. The webcam frame will be represented as a numpy array of shape (height, width, RGB).
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2. The function must return a numpy array. It can take arbitrary values from other components.
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3. Set the `modality="video"` and `mode="send-receive"`
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=== "Notes"
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1. The webcam frame will be represented as a numpy array of shape (height, width, RGB).
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2. The function must return a numpy array. It can take arbitrary values from other components.
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3. Set the `modality="video"` and `mode="send-receive"`
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## Server-to-Client Only
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In this case, we stream from the server to the client so we will write a generator function that yields the next frame from the video (as a numpy array)
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and set the `mode="receive"` in the `WebRTC` component.
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=== "Code"
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``` py title="Server-To-Client"
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from fastrtc import Stream
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def generation():
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url = "https://download.tsi.telecom-paristech.fr/gpac/dataset/dash/uhd/mux_sources/hevcds_720p30_2M.mp4"
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cap = cv2.VideoCapture(url)
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iterating = True
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while iterating:
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iterating, frame = cap.read()
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yield frame
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stream = Stream(
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handler=generation,
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modality="video",
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mode="receive"
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)
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```
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