{
"nbformat": 4,
"nbformat_minor": 0,
"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": "3.7.1"
},
"colab": {
"name": "test-cv2.ipynb",
"provenance": [],
"collapsed_sections": []
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "jrUU752v4Vo5",
"colab_type": "text"
},
"source": [
"# OpenCV Image Capture\n",
"\n",
"This sample code uses OpenCV to capture one frame from the first camera"
]
},
{
"cell_type": "code",
"metadata": {
"id": "I_NsFsKO4Vo6",
"colab_type": "code",
"colab": {}
},
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import cv2"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "eg4uv7844Vo8",
"colab_type": "code",
"colab": {}
},
"source": [
"def cv2_imshow(image):\n",
" plt.axis(\"off\")\n",
" plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))\n",
" plt.show()"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "PMGsmDRP4Vo_",
"colab_type": "code",
"colab": {}
},
"source": [
"vid = cv2.VideoCapture(0) \n",
"ret, frame = vid.read()\n",
"vid.release()\n",
"\n",
"cv2_imshow(frame)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "g1S5LeOZ4VpD",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
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