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""" | ||
Render a wgpu example offscreen, and display as an image. | ||
""" | ||
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import os | ||
import tempfile | ||
import webbrowser | ||
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import imageio.v3 as iio | ||
from rendercanvas.offscreen import RenderCanvas | ||
from rendercanvas.utils.cube import setup_drawing_sync | ||
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canvas = RenderCanvas(size=(640, 480), pixel_ratio=2) | ||
draw_frame = setup_drawing_sync(canvas) | ||
canvas.request_draw(draw_frame) | ||
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image = canvas.draw() | ||
assert image.shape == (960, 1280, 4) | ||
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filename = os.path.join(tempfile.gettempdir(), "rendercanvasexample.png") | ||
iio.imwrite(filename, image) | ||
webbrowser.open("file://" + filename) |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "afd9b3fd", | ||
"metadata": {}, | ||
"source": [ | ||
"# RenderCanvas notebook examples" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "e120b752", | ||
"metadata": {}, | ||
"source": [ | ||
"## Cube example" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "e4f9f67d", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"application/vnd.jupyter.widget-view+json": { | ||
"model_id": "f13251ba883843a39be8a9a6b4e76970", | ||
"version_major": 2, | ||
"version_minor": 0 | ||
}, | ||
"text/plain": [ | ||
"RFBOutputContext()" | ||
] | ||
}, | ||
"metadata": {}, | ||
"output_type": "display_data" | ||
}, | ||
{ | ||
"data": { | ||
"application/vnd.jupyter.widget-view+json": { | ||
"model_id": "fecfdbe30cef480da747f15986df29da", | ||
"version_major": 2, | ||
"version_minor": 0 | ||
}, | ||
"text/html": [ | ||
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' style='width:640.0px;height:480.0px;' /><div style='position: absolute; top:0; left:0; padding:1px 3px; background: #777; color:#fff; font-size: 90%; font-family:sans-serif; '>snapshot</div></div>" | ||
], | ||
"text/plain": [ | ||
"JupyterRenderCanvas(css_height='480.0px', css_width='640.0px')" | ||
] | ||
}, | ||
"execution_count": 1, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"from rendercanvas.utils.cube import setup_drawing_sync\n", | ||
"from rendercanvas.auto import RenderCanvas\n", | ||
"\n", | ||
"canvas = RenderCanvas(update_mode=\"continuous\")\n", | ||
"draw_frame = setup_drawing_sync(canvas)\n", | ||
"canvas.request_draw(draw_frame)\n", | ||
"\n", | ||
"canvas" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "749ffb40", | ||
"metadata": {}, | ||
"source": [ | ||
"## Events" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"id": "6d0e64b7-a208-4be6-99eb-9f666ab8c2ae", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"application/vnd.jupyter.widget-view+json": { | ||
"model_id": "d4b7240a4cbf4b5686ab11c6c1c480eb", | ||
"version_major": 2, | ||
"version_minor": 0 | ||
}, | ||
"text/plain": [ | ||
"Textarea(value='', rows=10)" | ||
] | ||
}, | ||
"execution_count": 2, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"import ipywidgets\n", | ||
"\n", | ||
"out = ipywidgets.Textarea(rows=10)\n", | ||
"\n", | ||
"\n", | ||
"@canvas.add_event_handler(\"*\")\n", | ||
"def show_events(event):\n", | ||
" if event[\"event_type\"] not in [\"pointer_move\", \"before_draw\", \"draw\"]:\n", | ||
" out.value = str(event)\n", | ||
"\n", | ||
"\n", | ||
"out" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"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": "3.12.4" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |