#!/usr/bin/env python3
from pprint import pprint
from picterra import APIClient
# Set the PICTERRA_API_KEY environment variable to define your API key
client = APIClient()
# The Id of a folder/project you own
folder_id = "7ec40c11-f181-436a-9d33-d7b3f63e0e0f"
raster_id = client.upload_raster('data/raster1.tif', name='A nice raster')
print('Uploaded raster=', raster_id)
for raster in client.list_rasters():
pprint('raster %s' % "\n".join(["%s=%s" % item for item in raster.items()]))
raster_id = client.upload_raster(
'data/raster1.tif', name='Another nice raster in a nice folder',
folder_id=folder_id, captured_at="2020-01-01T12:34:56.789Z"
)
print('Uploaded raster=', raster_id)
for raster in client.list_rasters(folder_id):
pprint('raster %s' % "\n".join(["%s=%s" % item for item in raster.items()]))
client.delete_raster(raster_id)
print('Deleted raster=', raster_id)
from picterra import APIClient
# Replace this with the id of one of your detectors
detector_id = 'd552605b-6972-4a68-8d51-91e6cb531c24'
# Set the PICTERRA_API_KEY environment variable to define your API key
client = APIClient()
print('Uploading raster...')
raster_id = client.upload_raster('data/raster1.tif', name='a nice raster')
print('Upload finished, starting detector...')
result_id = client.run_detector(detector_id, raster_id)
client.download_result_to_file(result_id, 'result.geojson')
print('Detection finished, results are in result.geojson')
from picterra import APIClient
client = APIClient(api_key='1234')
raster_id = client.upload_raster('data/raster1.tif', name='a nice raster')
print('Uploaded raster=', raster_id)
def _client(max_retries=0, timeout=1):
return APIClient(api_key='1234',
base_url=TEST_API_URL,
max_retries=max_retries,
timeout=timeout)
import logging import sys from picterra import APIClient logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) raster = 'f9abc42b-73d4-429c-9e44-f095a1949df4' detector = '21cd315d-5795-4559-afa0-5a4e9498f064' pic = APIClient() result_id = pic.run_detector(detector, raster) pic.download_result_to_file(result_id, 'result.geojson')
def _client():
return APIClient(api_key='1234', base_url=TEST_API_URL)
#!/usr/bin/env python3
import json
from picterra import APIClient
# Set the PICTERRA_API_KEY environment variable to define your API key
client = APIClient()
# Create a new detector (its type is 'count' by default)
detector_id = client.create_detector('My first detector')
# Upload a training raster for the detector above
raster_id = client.upload_raster('data/raster1.tif', name='a nice raster')
client.add_raster_to_detector(raster_id, detector_id)
# Add annotations
with open('data/outline.geojson') as f:
outlines = json.load(f)
client.set_annotations(detector_id, raster_id, 'outline', outlines)
with open('data/training_area.geojson') as f:
training_areas = json.load(f)
client.set_annotations(detector_id, raster_id, 'training_area', training_areas)
with open('data/validation_area.geojson') as f:
validation_areas = json.load(f)
client.set_annotations(detector_id, raster_id, 'validation_area', validation_areas)
# Train the detector
client.train_detector(detector_id)
# At this point your detector is ready to predict: see upload_and_detect.py in order
# to launch a prediction on a raster; you can also use one of the raster already added above.
from picterra import APIClient
# Replace this with the id of one of your detectors
detector_id = 'd552605b-6972-4a68-8d51-91e6cb531c24'
# Replace this with the id of a folder in which the
# raster should be uploaded.
folder_id = '63207fe9-32b8-410f-a72d-00803cca7bf3'
# Set the PICTERRA_API_KEY environment variable to define your API key
client = APIClient()
print('Uploading raster...')
raster_id = client.upload_raster('data/raster1.tif',
name='a nice raster',
folder_id=folder_id,
captured_at='2020-01-01T12:34:45.789Z')
print('Upload finished, starting detector...')
result_id = client.run_detector(detector_id, raster_id)
client.download_result_to_feature_collection(result_id, 'result.geojson')
print('Detection finished, results are in result.geojson')
#!/usr/bin/env python3
import json
from picterra import APIClient
# Set the PICTERRA_API_KEY environment variable to define your API key
client = APIClient()
# Create a new detector (its type is 'count' by default)
detector_id = client.create_detector('My first detector')
# Edit the above detector
client.edit_detector(detector_id, 'Renamed detector', 'segmentation', 'bbox',
1000)
# List existing detectors
for d in client.list_detectors():
print(
'detector id=%s, name=%s, detection_type=%s, output_type=%s, training_steps=%d'
% (d['id'], d['name'], d['configuration']['detection_type'],
d['configuration']['output_type'],
d['configuration']['training_steps']))
from picterra import APIClient
client = APIClient(api_key='1234')
for raster in client.list_rasters():
print('raster id=%s, name=%s, status=%s' % (raster['id'], raster['name'], raster['status']))
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pprint import pprint
from picterra import APIClient
# Set the PICTERRA_API_KEY environment variable to define your API key
client = APIClient()
# The Id of a folder/project you own
folder_id = "7ec40c11-f181-436a-9d33-d7b3f63e0e0f"
local_raster_id = client.upload_raster('data/raster1.tif',
name='A nice raster')
print('Uploaded local raster=', local_raster_id)
for raster in client.list_rasters():
pprint('raster %s' % "\n".join(["%s=%s" % item
for item in raster.items()]))
wms_raster_id = client.upload_remote_raster(
'wms',
'http://wms.zh.ch/OrthoZHWMS?LAYERS=OrthoZHWMS',
0.3,
footprint={
"type":
"Polygon",
"coordinates": [[[8.531441688537598, 47.3669375756445],
[8.555259704589844, 47.3669375756445],
[8.555259704589844, 47.37530808909385],
[8.531441688537598, 47.37530808909385],
[8.531441688537598, 47.3669375756445]]]