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- {
- "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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