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| from azure.cognitiveservices.vision.customvision.training import training_api | |
| from azure.cognitiveservices.vision.customvision.training.models import ImageUrlCreateEntry | |
| from azure.cognitiveservices.vision.customvision.prediction import prediction_endpoint | |
| from azure.cognitiveservices.vision.customvision.prediction.prediction_endpoint import models | |
| import os | |
| import sys | |
| import json, requests | |
| import time | |
| training_key = "5bd2f1fd171c427aa1009ff0304d5802" # from settings pane on customvision.ai | |
| prediction_key = "c0bc732ba400470e936aef357942ad9c" | |
| project_name = "blighthack" | |
| tagname = "" | |
| dowhat = "nothing" | |
| # Check if the project with project_name exists and if not create ir | |
| project_id = "a5835760-4363-47ef-b052-bbaeb06cd54d" | |
| trainer = training_api.TrainingApi(training_key) | |
| def upload_single_image_from_url(image_url, tag_name): | |
| print('project id is: ' + project_id) | |
| alltags = trainer.get_tags(project_id) | |
| tag_id = None | |
| for i in range(0, len(alltags.tags)): | |
| if (alltags.tags[i].name == tag_name): | |
| tagExists = True | |
| tag_id = alltags.tags[i].id | |
| break | |
| if tag_id is not None: | |
| trainer.create_images_from_urls(project_id, [ImageUrlCreateEntry(image_url, [tag_id])]) | |
| else: | |
| print('No tag by name: ' + tag_name + " found") | |
| upload_single_image_from_url('http://www.catster.com/wp-content/uploads/2017/11/A-Siamese-cat.jpg', 'boarded') |
from azure.cognitiveservices.vision.customvision.training import training_api
from azure.cognitiveservices.vision.customvision.training.models import ImageUrlCreateEntry
from azure.cognitiveservices.vision.customvision.prediction import prediction_endpoint
from azure.cognitiveservices.vision.customvision.prediction.prediction_endpoint import models
import os
import sys
import json, requests
import time
from azure.cognitiveservices.vision.customvision.training import training_api
from azure.cognitiveservices.vision.customvision.training.models import ImageUrlCreateEntry
from azure.cognitiveservices.vision.customvision.prediction import prediction_endpoint
from azure.cognitiveservices.vision.customvision.prediction.prediction_endpoint import models
import os
import sys
import json, requests
import time
training_key = "5bd2f1fd171c427aa1009ff0304d5802" # from settings pane on customvision.ai
prediction_key = "c0bc732ba400470e936aef357942ad9c"
project_name = "blighthack"
tagname = ""
dowhat = "nothing"
Check if the project with project_name exists and if not create ir
project_id = "a5835760-4363-47ef-b052-bbaeb06cd54d"
trainer = training_api.TrainingApi(training_key)
def upload_single_image_from_url(image_url, tag_name):
print('project id is: ' + project_id)
alltags = trainer.get_tags(project_id)
tag_id = None
for i in range(0, len(alltags.tags)):
if (alltags.tags[i].name == tag_name):
tagExists = True
tag_id = alltags.tags[i].id
break
if tag_id is not None:
trainer.create_images_from_urls(project_id, [ImageUrlCreateEntry(image_url, [tag_id])])
else:
print('No tag by name: ' + tag_name + " found")
upload_single_image_from_url('http://www.catster.com/wp-content/uploads/2017/11/A-Siamese-cat.jpg', 'boarded')
pip install --upgrade "git+https://github.com/Azure/azure-sdk-for-python#egg=azure-cognitiveservices-vision-customvision&subdirectory=azure-cognitiveservices-vision-customvision"