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Commit c0bfa2fc authored by jay's avatar jay
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Merge upstream master

parents 09b235f0 9a1a8e73
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import datetime
import json
try:
import usgscam as cam
from cycsm.isd import Isd
camera_support = True
except:
camera_support = False
import requests
from plio.utils.utils import find_in_dict
from plio.io.io_json import NumpyEncoder
def data_from_cube(header):
data = {}
data['START_TIME'] = find_in_dict(header, 'StartTime')
data['SPACECRAFT_NAME'] = find_in_dict(header, 'SpacecraftName')
data['INSTRUMENT_NAME'] = find_in_dict(header, 'InstrumentId')
data['SAMPLING_FACTOR'] = find_in_dict(header, 'SpatialSumming')
data['SAMPLE_FIRST_PIXEL'] = find_in_dict(header, 'SampleFirstPixel')
data['IMAGE'] = {}
data['IMAGE']['LINES'] = find_in_dict(header, 'Lines')
data['IMAGE']['SAMPLES'] = find_in_dict(header, 'Samples')
data['TARGET_NAME'] = find_in_dict(header, 'TargetName')
data['LINE_EXPOSURE_DURATION'] = find_in_dict(header, 'LineExposureDuration')
data['SPACECRAFT_CLOCK_START_COUNT'] = find_in_dict(header, 'SpacecraftClockCount')
return data
def create_camera(obj, url='http://smalls:8002/api/1.0/missions/mars_reconnaissance_orbiter/csm_isd'):
if not camera_support:
print("Usgscam library not installed. Camera capabilities are disabled")
data = json.dumps(data_from_cube(obj.metadata), cls=NumpyEncoder)
r = requests.post(url, data=data)
# Get the ISD back and instantiate a local ISD for the image
isd = r.json()['data']['isd']
i = Isd.loads(isd)
# Create the plugin and camera as usual
plugin = cam.genericls.Plugin()
return plugin.from_isd(i, plugin.modelname(0))
\ No newline at end of file
import datetime
import json
from unittest import mock
import pytest
import pvl
import usgscam
from plio.camera import csm
from plio.examples import get_path
def mock_requests_post(*args, **kwargs):
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_code
def json(self):
return self.json_data
if 'mars_reconnaissance_orbiter' in args[0]:
with open(get_path('ctx.response'), 'r') as f:
resp = json.load(f)
return MockResponse(resp, 200)
return MockResponse(None, 404)
@pytest.fixture
def header():
return pvl.load(get_path('ctx.pvl'))
@pytest.fixture
def req_obj():
return
def test_data_from_cube(header):
data = csm.data_from_cube(header)
assert data['START_TIME'] == datetime.datetime(2008, 9, 17, 5, 8, 10, 820000)
@mock.patch('requests.post', side_effect=mock_requests_post)
def test_create_camera(header):
cam = csm.create_camera(header)
assert isinstance(cam, usgscam.genericls.SensorModel)
{
"data": {
"isd": {
"DT_EPHEM": 0.15016,
"NUMBER_OF_EPHEM": 167,
"T0_QUAT": -12.493312001228333,
"MIN_VALID_HT": -8000,
"SEMI_MAJOR_AXIS": 3396190,
"QUATERNIONS": [
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],
"CENTER_EPHEMERIS_TIME": 336952555.2363372,
"INT_TIME": 0.001877,
"NUMBER_OF_QUATERNIONS": 167,
"ITRANSS": [
0,
0,
142.85714285714
],
"IKCODE": -74021,
"PLATFORM_ID": "UNKNOWN",
"ISIS_Z_DIRECTION": 1,
"MAX_VALID_HT": 8000,
"TRI_PARAMETERS": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
352.9271664,
0,
0
],
"TRAJ_ID": "UNKNOWN",
"ITRANSL": [
0,
142.85714285714,
0
],
"REF_DATE_TIME": "UNKNOWN"
},
"loaded_kernels": null
},
"success": true
}
\ No newline at end of file
import json import json
import numpy as np
class NumpyEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, np.ndarray):
return obj.tolist()
elif isinstance(obj, datetime.date):
return obj.isoformat()
return json.JSONEncoder.default(self, obj)
def read_json(inputfile): def read_json(inputfile):
""" """
Read the input json file into a python dictionary. Read the input json file into a python dictionary.
......
import numpy as np
import pyproj
import ogr
def generate_gcps(camera, nnodes=5, semi_major=3396190, semi_minor=3376200):
ecef = pyproj.Proj(proj='geocent', a=semi_major, b=semi_minor)
lla = pyproj.Proj(proj='latlon', a=semi_major, b=semi_minor)
isize = camera.imagesize[::-1]
x = np.linspace(0,isize[1], 10)
y = np.linspace(0,isize[0], 10)
boundary = [(i,0.) for i in x] + [(isize[1], i) for i in y[1:]] +\
[(i, isize[0]) for i in x[::-1][1:]] + [(0.,i) for i in y[::-1][1:]]
gnds = np.empty((len(boundary), 3))
for i, b in enumerate(boundary):
gnds[i] = camera.imageToGround(*b, 0)
lons, lats, alts = pyproj.transform(ecef, lla, gnds[:,0], gnds[:,1], gnds[:,2])
lla = np.vstack((lons, lats, alts)).T
tr = zip(boundary, lla)
gcps = []
for i, t in enumerate(tr):
l = '<GCP Id="{}" Info="{}" Pixel="{}" Line="{}" X="{}" Y="{}" Z="{}" />'.format(i, i, t[0][1], t[0][0], t[1][0], t[1][1], t[1][2])
gcps.append(l)
return gcps
def generate_latlon_footprint(camera, nnodes=5, semi_major=3396190, semi_minor=3376200):
ecef = pyproj.Proj(proj='geocent', a=semi_major, b=semi_minor)
lla = pyproj.Proj(proj='latlon', a=semi_major, b=semi_minor)
isize = camera.imagesize[::-1]
x = np.linspace(0,isize[1], 10)
y = np.linspace(0,isize[0], 10)
boundary = [(i,0.) for i in x] + [(isize[1], i) for i in y[1:]] +\
[(i, isize[0]) for i in x[::-1][1:]] + [(0.,i) for i in y[::-1][1:]]
ring = ogr.Geometry(ogr.wkbLinearRing)
for i in boundary:
gnd = camera.imageToGround(*i, 0)
lons, lats, alts = pyproj.transform(ecef, lla, gnd[0], gnd[1], gnd[2])
ring.AddPoint(lons, lats)
poly = ogr.Geometry(ogr.wkbPolygon)
poly.AddGeometry(ring)
return poly
def generate_bodyfixed_footprint(camera, nnodes=5):
isize = camera.imagesize[::-1]
x = np.linspace(0,isize[1], 10)
y = np.linspace(0,isize[0], 10)
boundary = [(i,0.) for i in x] + [(isize[1], i) for i in y[1:]] +\
[(i, isize[0]) for i in x[::-1][1:]] + [(0.,i) for i in y[::-1][1:]]
ring = ogr.Geometry(ogr.wkbLinearRing)
for i in boundary:
gnd = camera.imageToGround(*i, 0)
ring.AddPoint(gnd[0], gnd[1], gnd[2])
poly = ogr.Geometry(ogr.wkbPolygon)
poly.AddGeometry(ring)
return poly
import gdal
import os
import jinja2
import numpy as np
from plio.camera.footprint import generate_gcps
def warped_vrt(camera, raster_size, fpath, outpath=None, no_data_value=0):
gcps = generate_gcps(camera)
xsize, ysize = raster_size
if outpath is None:
outpath = os.path.dirname(fpath)
outname = os.path.splitext(os.path.basename(fpath))[0] + '.vrt'
outname = os.path.join(outpath, outname)
xsize, ysize = raster_size
vrt = r'''<VRTDataset rasterXSize="{{ xsize }}" rasterYSize="{{ ysize }}">
<Metadata/>
<GCPList Projection="{{ proj }}">
{% for gcp in gcps -%}
{{gcp}}
{% endfor -%}
</GCPList>
<VRTRasterBand dataType="Float32" band="1">
<NoDataValue>{{ no_data_value }}</NoDataValue>
<Metadata/>
<ColorInterp>Gray</ColorInterp>
<SimpleSource>
<SourceFilename relativeToVRT="0">{{ fpath }}</SourceFilename>
<SourceBand>1</SourceBand>
<SourceProperties rasterXSize="{{ xsize }}" rasterYSize="{{ ysize }}"
DataType="Float32" BlockXSize="512" BlockYSize="512"/>
<SrcRect xOff="0" yOff="0" xSize="{{ xsize }}" ySize="{{ ysize }}"/>
<DstRect xOff="0" yOff="0" xSize="{{ xsize }}" ySize="{{ ysize }}"/>
</SimpleSource>
</VRTRasterBand>
</VRTDataset>'''
context = {'xsize':xsize, 'ysize':ysize,
'gcps':gcps,
'proj':'+proj=longlat +a=3396190 +b=3376200 +no_defs',
'fpath':fpath,
'no_data_value':no_data_value}
template = jinja2.Template(vrt)
tmp = template.render(context)
warp_options = gdal.WarpOptions(format='VRT', dstNodata=0)
gdal.Warp(outname, tmp, options=warp_options)
...@@ -49,6 +49,7 @@ requirements: ...@@ -49,6 +49,7 @@ requirements:
- pyproj - pyproj
- cycsm - cycsm
- usgscam - usgscam
- jinja2
test: test:
imports: imports:
......
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