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-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# IBM Watson Visual Recognition\n",
- "Create an account on [IBM Watson Studio](https://www.ibm.com/cloud/watson-studio) and add the [Watson Visual Recognition](https://www.ibm.com/cloud/watson-visual-recognition) service to your free account."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "metadata": {},
- "outputs": [],
- "source": [
- "pip install --upgrade --user \"ibm-watson>=4.5.0\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {},
- "outputs": [],
- "source": [
- "apikey = \"<your-apikey>\"\n",
- "version = \"2018-03-19\"\n",
- "url = \"<your-url>\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "metadata": {},
- "outputs": [],
- "source": [
- "import json\n",
- "from ibm_watson import VisualRecognitionV3\n",
- "from ibm_cloud_sdk_core.authenticators import IAMAuthenticator\n",
- "\n",
- "authenticator = IAMAuthenticator(apikey)\n",
- "visual_recognition = VisualRecognitionV3(\n",
- " version=version,\n",
- " authenticator=authenticator\n",
- ")\n",
- "\n",
- "visual_recognition.set_service_url(url)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 25,
- "metadata": {},
- "outputs": [],
- "source": [
- "visual_recognition.set_default_headers({'x-watson-learning-opt-out': \"true\"})"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 60,
- "metadata": {},
- "outputs": [],
- "source": [
- "data = [\n",
- "{\n",
- " \"title\": \"Bear Country, South Dakota\",\n",
- " \"url\": \"https://example.com/photos/highres/20140717.jpg\"\n",
- "},\n",
- "{\n",
- " \"title\": \"Pactola Lake\",\n",
- " \"url\": \"https://example.com/photos/highres/20140718.jpg\"\n",
- "},\n",
- "{\n",
- " \"title\": \"Welcome to Utah\",\n",
- " \"url\": \"https://example.com/photos/highres/20190608_02.jpg\"\n",
- "},\n",
- "{\n",
- " \"title\": \"Honey Badger\",\n",
- " \"url\": \"https://example.com/photos/highres/20190611_03.jpg\"\n",
- "},\n",
- "{\n",
- " \"title\": \"Grand Canyon Lizard\",\n",
- " \"url\": \"https://example.com/photos/highres/20190612.jpg\"\n",
- "},\n",
- "{\n",
- " \"title\": \"The Workhouse\",\n",
- " \"url\": \"https://example.com/photos/highres/20191116_01.jpg\"\n",
- "}\n",
- "]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 59,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "Image Title: Bear Country, South Dakota \n",
- "\n",
- "brown bear ( 0.944 )\n",
- "bear ( 1 )\n",
- "carnivore ( 1 )\n",
- "mammal ( 1 )\n",
- "animal ( 1 )\n",
- "Alaskan brown bear ( 0.759 )\n",
- "greenishness color ( 0.975 )\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "Image Title: Pactola Lake \n",
- "\n",
- "ponderosa pine ( 0.763 )\n",
- "pine tree ( 0.867 )\n",
- "tree ( 0.867 )\n",
- "plant ( 0.867 )\n",
- "blue color ( 0.959 )\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "Image Title: Welcome to Utah \n",
- "\n",
- "signboard ( 0.953 )\n",
- "building ( 0.79 )\n",
- "blue color ( 0.822 )\n",
- "purplish blue color ( 0.619 )\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "Image Title: Honey Badger \n",
- "\n",
- "American badger ( 0.689 )\n",
- "carnivore ( 0.689 )\n",
- "mammal ( 0.864 )\n",
- "animal ( 0.864 )\n",
- "armadillo ( 0.618 )\n",
- "light brown color ( 0.9 )\n",
- "reddish brown color ( 0.751 )\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "Image Title: Grand Canyon Lizard \n",
- "\n",
- "western fence lizard ( 0.724 )\n",
- "lizard ( 0.93 )\n",
- "reptile ( 0.93 )\n",
- "animal ( 0.93 )\n",
- "ultramarine color ( 0.633 )\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n",
- "Image Title: The Workhouse \n",
- "\n",
- "castle ( 0.896 )\n",
- "fortification ( 0.905 )\n",
- "defensive structure ( 0.96 )\n",
- "stronghold ( 0.642 )\n",
- "building ( 0.799 )\n",
- "mound ( 0.793 )\n",
- "blue color ( 0.745 )\n",
- "-------------------------------------------------------------------------------------------------------------------------------------\n"
- ]
- }
- ],
- "source": [
- "from ibm_watson import ApiException\n",
- "\n",
- "for x in range(len(data)):\n",
- " try:\n",
- " url = data[x][\"url\"]\n",
- " images_filename = data[x][\"title\"]\n",
- " classes = visual_recognition.classify(\n",
- " url=url,\n",
- " images_filename=images_filename,\n",
- " threshold='0.6',\n",
- " owners=[\"IBM\"]).get_result()\n",
- " print(\"-------------------------------------------------------------------------------------------------------------------------------------\")\n",
- " print(\"Image Title: \", data[x][\"title\"], \"\\n\")\n",
- " print(\"Image URL: \", data[x][\"url\"], \"\\n\")\n",
- " classification_results = classes[\"images\"][0][\"classifiers\"][0][\"classes\"]\n",
- " for result in classification_results:\n",
- " print(result[\"class\"], \"(\", result[\"score\"], \")\")\n",
- " print(\"-------------------------------------------------------------------------------------------------------------------------------------\")\n",
- " except ApiException as ex:\n",
- " print(\"Method failed with status code \" + str(ex.code) + \": \" + ex.message)"
- ]
- }
- ],
- "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": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}