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xuyuanxuyuan
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vision demo
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‎vision/color.ipynb

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‎vision/geometry.ipynb

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‎vision/getting_images.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"%matplotlib inline\n",
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"\n",
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"import cv2\n",
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"import matplotlib.pyplot as plot"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## getting one image from webcam"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"camera = cv2.VideoCapture(0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"retval, image = camera.read()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"camera.release()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"plot.imshow(image)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## save image and read it back"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"filename = 'first_image.png'\n",
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"cv2.imwrite(filename, image)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"image2 = cv2.imread(filename)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"plot.imshow(image)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# image data format"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"type(image)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"image.shape, image.dtype"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# color space"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
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"plot.imshow(rgb_image)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"r_image = rgb_image[:, :, 0]\n",
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"plot.imshow(r_image, cmap='gray')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"rgb_image[:, :, 1:] = 0\n",
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"plot.imshow(rgb_image)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Pixels"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
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"rgb_image[100:200, 100:200, 0] = 255\n",
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"plot.imshow(rgb_image)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
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"roi = rgb_image[100:200, 100:200]\n",
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"plot.imshow(roi)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.12"
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},
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"widgets": {
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"state": {},
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"version": "1.0.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

‎vision/image077.png

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