{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# ipywebrtc: Video streaming\n", "\n", "## https://github.com/maartenbreddels/ipywebrtc\n", "\n", "\n", "ipywebrtc is a jupyter interactive widget library which provides video streaming to the Jupyter notebook.\n", "\n", "- MIT Licensed\n", "\n", "It provides means to capture videos/images/audio from the user camera, or from other widgets like a `Video` or an ipyvolume plot.\n", "\n", "**Installation:**\n", "\n", "```bash\n", "conda install -c conda-forge ipywebrtc\n", "```" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import ipywebrtc as webrtc\n", "import ipyvolume as ipv\n", "import ipywidgets as widgets" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "video = webrtc.VideoStream.from_file('Big.Buck.Bunny.mp4')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "video" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "camera = webrtc.CameraStream()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "camera" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "fig = ipv.figure(render_continuous=True)\n", "back = ipv.plot_plane(\"back\", texture=video)\n", "right = ipv.plot_plane(\"right\", texture=camera)\n", "ipv.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "right.texture = fig" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "room = webrtc.chat(room='scipy2018', stream=fig)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "back.texture = room.streams[1]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "recorder = webrtc.VideoRecorder(stream=fig, filename='record')\n", "recorder" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "recorder.video.value[:1000]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "room.close()\n", "camera.close()\n", "video.close()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }