kopia lustrzana https://github.com/OpenDroneMap/WebODM
Object detection plugin mock
Piero Toffanin
rodzic
95ce02fc2b
commit
7f44e62ac4
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from .plugin import *
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import os
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from rest_framework import status
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from rest_framework.response import Response
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from app.plugins.views import TaskView, CheckTask, GetTaskResult
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from app.plugins.worker import run_function_async
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from django.utils.translation import gettext_lazy as _
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class ContoursException(Exception):
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pass
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def calc_contours(dem, epsg, interval, output_format, simplify, zfactor = 1):
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import os
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import subprocess
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import tempfile
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import shutil
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import glob
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from webodm import settings
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ext = ""
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if output_format == "GeoJSON":
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ext = "json"
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elif output_format == "GPKG":
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ext = "gpkg"
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elif output_format == "DXF":
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ext = "dxf"
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elif output_format == "ESRI Shapefile":
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ext = "shp"
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MIN_CONTOUR_LENGTH = 10
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tmpdir = os.path.join(settings.MEDIA_TMP, os.path.basename(tempfile.mkdtemp('_contours', dir=settings.MEDIA_TMP)))
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gdal_contour_bin = shutil.which("gdal_contour")
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ogr2ogr_bin = shutil.which("ogr2ogr")
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if gdal_contour_bin is None:
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return {'error': 'Cannot find gdal_contour'}
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if ogr2ogr_bin is None:
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return {'error': 'Cannot find ogr2ogr'}
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contours_file = f"contours.gpkg"
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p = subprocess.Popen([gdal_contour_bin, "-q", "-a", "level", "-3d", "-f", "GPKG", "-i", str(interval), dem, contours_file], cwd=tmpdir, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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out, err = p.communicate()
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out = out.decode('utf-8').strip()
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err = err.decode('utf-8').strip()
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success = p.returncode == 0
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if not success:
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return {'error', f'Error calling gdal_contour: {str(err)}'}
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outfile = os.path.join(tmpdir, f"output.{ext}")
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p = subprocess.Popen([ogr2ogr_bin, outfile, contours_file, "-simplify", str(simplify), "-f", output_format, "-t_srs", f"EPSG:{epsg}", "-nln", "contours",
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"-dialect", "sqlite", "-sql", f"SELECT ID, ROUND(level * {zfactor}, 5) AS level, GeomFromGML(AsGML(ATM_Transform(GEOM, ATM_Scale(ATM_Create(), 1, 1, {zfactor})), 10)) as GEOM FROM contour WHERE ST_Length(GEOM) >= {MIN_CONTOUR_LENGTH}"], cwd=tmpdir, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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out, err = p.communicate()
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out = out.decode('utf-8').strip()
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err = err.decode('utf-8').strip()
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success = p.returncode == 0
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if not success:
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return {'error', f'Error calling ogr2ogr: {str(err)}'}
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if not os.path.isfile(outfile):
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return {'error': f'Cannot find output file: {outfile}'}
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if output_format == "ESRI Shapefile":
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ext="zip"
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shp_dir = os.path.join(tmpdir, "contours")
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os.makedirs(shp_dir)
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contour_files = glob.glob(os.path.join(tmpdir, "output.*"))
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for cf in contour_files:
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shutil.move(cf, shp_dir)
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shutil.make_archive(os.path.join(tmpdir, 'output'), 'zip', shp_dir)
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outfile = os.path.join(tmpdir, f"output.{ext}")
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return {'file': outfile}
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class TaskContoursGenerate(TaskView):
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def post(self, request, pk=None):
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task = self.get_and_check_task(request, pk)
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layer = request.data.get('layer', None)
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if layer == 'DSM' and task.dsm_extent is None:
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return Response({'error': _('No DSM layer is available.')})
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elif layer == 'DTM' and task.dtm_extent is None:
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return Response({'error': _('No DTM layer is available.')})
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try:
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if layer == 'DSM':
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dem = os.path.abspath(task.get_asset_download_path("dsm.tif"))
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elif layer == 'DTM':
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dem = os.path.abspath(task.get_asset_download_path("dtm.tif"))
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else:
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raise ContoursException('{} is not a valid layer.'.format(layer))
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epsg = int(request.data.get('epsg', '3857'))
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interval = float(request.data.get('interval', 1))
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format = request.data.get('format', 'GPKG')
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supported_formats = ['GPKG', 'ESRI Shapefile', 'DXF', 'GeoJSON']
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if not format in supported_formats:
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raise ContoursException("Invalid format {} (must be one of: {})".format(format, ",".join(supported_formats)))
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simplify = float(request.data.get('simplify', 0.01))
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zfactor = float(request.data.get('zfactor', 1))
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celery_task_id = run_function_async(calc_contours, dem, epsg, interval, format, simplify, zfactor).task_id
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return Response({'celery_task_id': celery_task_id}, status=status.HTTP_200_OK)
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except ContoursException as e:
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return Response({'error': str(e)}, status=status.HTTP_200_OK)
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class TaskContoursCheck(CheckTask):
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def on_error(self, result):
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pass
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def error_check(self, result):
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contours_file = result.get('file')
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if not contours_file or not os.path.exists(contours_file):
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return _('Could not generate contour file. This might be a bug.')
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class TaskContoursDownload(GetTaskResult):
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pass
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{
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"name": "Object Detect",
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"webodmMinVersion": "2.5.8",
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"description": "Detect objects using AI in orthophotos",
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"version": "1.0.0",
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"author": "Piero Toffanin",
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"email": "pt@uav4geo.com",
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"repository": "https://github.com/OpenDroneMap/WebODM",
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"tags": ["object", "detect", "ai"],
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"homepage": "https://github.com/OpenDroneMap/WebODM",
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"experimental": false,
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"deprecated": false
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}
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from app.plugins import PluginBase
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from app.plugins import MountPoint
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# from .api import TaskContoursGenerate
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# from .api import TaskContoursCheck
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# from .api import TaskContoursDownload
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class Plugin(PluginBase):
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def include_js_files(self):
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return ['main.js']
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def build_jsx_components(self):
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return ['ObjDetect.jsx']
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def api_mount_points(self):
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return [
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# MountPoint('task/(?P<pk>[^/.]+)/contours/generate', TaskContoursGenerate.as_view()),
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# MountPoint('task/[^/.]+/contours/check/(?P<celery_task_id>.+)', TaskContoursCheck.as_view()),
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# MountPoint('task/[^/.]+/contours/download/(?P<celery_task_id>.+)', TaskContoursDownload.as_view()),
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]
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import L from 'leaflet';
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import ReactDOM from 'ReactDOM';
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import React from 'React';
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import PropTypes from 'prop-types';
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import './ObjDetect.scss';
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import ObjDetectPanel from './ObjDetectPanel';
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class ObjDetectButton extends React.Component {
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static propTypes = {
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tasks: PropTypes.object.isRequired,
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map: PropTypes.object.isRequired
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}
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constructor(props){
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super(props);
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this.state = {
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showPanel: false
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};
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}
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handleOpen = () => {
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this.setState({showPanel: true});
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}
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handleClose = () => {
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this.setState({showPanel: false});
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}
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render(){
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const { showPanel } = this.state;
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return (<div className={showPanel ? "open" : ""}>
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<a href="javascript:void(0);"
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onClick={this.handleOpen}
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className="leaflet-control-objdetect-button leaflet-bar-part theme-secondary"></a>
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<ObjDetectPanel map={this.props.map} isShowed={showPanel} tasks={this.props.tasks} onClose={this.handleClose} />
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</div>);
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}
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}
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export default L.Control.extend({
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options: {
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position: 'topright'
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},
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onAdd: function (map) {
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var container = L.DomUtil.create('div', 'leaflet-control-objdetect leaflet-bar leaflet-control');
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L.DomEvent.disableClickPropagation(container);
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ReactDOM.render(<ObjDetectButton map={this.options.map} tasks={this.options.tasks} />, container);
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return container;
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}
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});
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.leaflet-control-objdetect{
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z-index: 999 !important;
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a.leaflet-control-objdetect-button{
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background: url(icon.svg) no-repeat 0 0;
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background-size: 26px 26px;
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border-radius: 2px;
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}
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div.objdetect-panel{ display: none; }
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.open{
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a.leaflet-control-objdetect-button{
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display: none;
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}
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div.objdetect-panel{
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display: block;
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}
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}
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}
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.leaflet-touch .leaflet-control-objdetect a {
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background-position: 2px 2px;
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}
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import React from 'react';
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import PropTypes from 'prop-types';
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import Storage from 'webodm/classes/Storage';
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import L from 'leaflet';
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import './ObjDetectPanel.scss';
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import ErrorMessage from 'webodm/components/ErrorMessage';
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import Workers from 'webodm/classes/Workers';
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import { _ } from 'webodm/classes/gettext';
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export default class ObjDetectPanel extends React.Component {
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static defaultProps = {
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};
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static propTypes = {
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onClose: PropTypes.func.isRequired,
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tasks: PropTypes.object.isRequired,
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isShowed: PropTypes.bool.isRequired,
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map: PropTypes.object.isRequired
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}
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constructor(props){
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super(props);
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this.state = {
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error: "",
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permanentError: "",
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model: Storage.getItem("last_objdetect_model") || "cars",
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loading: true,
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task: props.tasks[0] || null,
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detecting: false,
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objLayer: null,
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};
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}
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componentDidMount(){
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}
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componentDidUpdate(){
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if (this.props.isShowed && this.state.loading){
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const {id, project} = this.state.task;
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this.loadingReq = $.getJSON(`/api/projects/${project}/tasks/${id}/`)
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.done(res => {
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const { available_assets } = res;
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if (available_assets.indexOf("orthophoto.tif") === -1){
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this.setState({permanentError: _("No orthophoto is available. To use object detection you need an orthophoto.")});
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}
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})
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.fail(() => {
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this.setState({permanentError: _("Cannot retrieve information for task. Are you are connected to the internet?")})
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})
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.always(() => {
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this.setState({loading: false});
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this.loadingReq = null;
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});
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}
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}
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componentWillUnmount(){
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if (this.loadingReq){
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this.loadingReq.abort();
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this.loadingReq = null;
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}
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if (this.detectReq){
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this.detectReq.abort();
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this.detectReq = null;
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}
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}
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handleSelectModel = e => {
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this.setState({model: e.target.value});
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}
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getFormValues = () => {
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const { model } = this.state;
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return {
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model
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};
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}
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addGeoJSONFromURL = (url, cb) => {
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const { map } = this.props;
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$.getJSON(url)
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.done((geojson) => {
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try{
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this.handleRemoveObjLayer();
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this.setState({objLayer: L.geoJSON(geojson, {
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onEachFeature: (feature, layer) => {
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if (feature.properties && feature.properties.level !== undefined) {
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layer.bindPopup(`<div style="margin-right: 32px;">
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<b>${_("Class:")}</b> ${feature.properties.class}<br/>
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<b>${_("Score:")}</b> ${feature.properties.score}<br/>
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</div>
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`);
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}
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},
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style: feature => {
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// TODO: different colors for different elevations?
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return {color: "yellow"};
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}
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})});
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this.state.objLayer.addTo(map);
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cb();
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}catch(e){
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cb(e.message);
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}
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})
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.fail(cb);
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}
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handleRemoveObjLayer = () => {
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const { map } = this.props;
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if (this.state.objLayer){
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map.removeLayer(this.state.objLayer);
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this.setState({objLayer: null});
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}
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}
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saveInputValues = () => {
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// Save settings
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Storage.setItem("last_objdetect_model", this.state.model);
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}
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handleDetect = () => {
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this.setState({detecting: true, error: ""});
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const taskId = this.state.task.id;
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this.saveInputValues();
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this.detectReq = $.ajax({
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type: 'POST',
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url: `/api/plugins/objdetect/task/${taskId}/detect`,
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data: this.getFormValues()
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}).done(result => {
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if (result.celery_task_id){
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Workers.waitForCompletion(result.celery_task_id, error => {
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if (error) this.setState({detecting: false, error});
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else{
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const fileUrl = `/api/plugins/objdetect/task/${taskId}/download/${result.celery_task_id}`;
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this.addGeoJSONFromURL(fileUrl, e => {
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if (e) this.setState({error: JSON.stringify(e)});
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this.setState({detecting: false});
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});
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}
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}, `/api/plugins/objdetect/task/${taskId}/check/`);
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}else if (result.error){
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this.setState({detecting: false, error: result.error});
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}else{
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this.setState({detecting: false, error: "Invalid response: " + result});
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}
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}).fail(error => {
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this.setState({detecting: false, error: JSON.stringify(error)});
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});
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}
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render(){
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const { loading, permanentError, objLayer, detecting, model } = this.state;
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const models = [
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{label: _('Cars'), value: 'cars'},
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{label: _('Trees'), value: 'trees'},
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]
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let content = "";
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if (loading) content = (<span><i className="fa fa-circle-notch fa-spin"></i> {_("Loading…")}</span>);
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else if (permanentError) content = (<div className="alert alert-warning">{permanentError}</div>);
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else{
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content = (<div>
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<ErrorMessage bind={[this, "error"]} />
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<div className="row form-group form-inline">
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<label className="col-sm-2 control-label">{_("Model:")}</label>
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<div className="col-sm-10 ">
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<select className="form-control" value={model} onChange={this.handleSelectModel}>
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{models.map(m => <option value={m.value}>{m.label}</option>)}
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</select>
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</div>
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</div>
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<div className="row action-buttons">
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<div className="col-sm-3">
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{objLayer ? <a title="Delete Layer" href="javascript:void(0);" onClick={this.handleRemoveObjLayer}>
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<i className="fa fa-trash"></i>
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</a> : ""}
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</div>
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<div className="col-sm-9 text-right">
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<button onClick={this.handleDetect}
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disabled={detecting} type="button" className="btn btn-sm btn-primary btn-detect">
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{detecting ? <i className="fa fa-spin fa-circle-notch"/> : <i className="fa fa-search fa-fw"/>} {_("Detect")}
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</button>
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</div>
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</div>
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</div>);
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}
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return (<div className="objdetect-panel">
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<span className="close-button" onClick={this.props.onClose}/>
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<div className="title">{_("Object Detection")}</div>
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<hr/>
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{content}
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</div>);
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}
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}
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.leaflet-control-objdetect .objdetect-panel{
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padding: 6px 10px 6px 6px;
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background: #fff;
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min-width: 250px;
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max-width: 300px;
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.close-button{
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display: inline-block;
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background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABIAAAASCAQAAAD8x0bcAAAAkUlEQVR4AZWRxQGDUBAFJ9pMflNIP/iVSkIb2wgccXd7g7O+3JXCQUgqBAfFSl8CMooJGQHfuUlEwZpoahZQ7ODTSXWJQkxyioock7BL2tXmdF4moJNX6IDZfbUBQNrX7qfeXfPuqwBAQjEz60w64htGJ+luFH48gt+NYe6v5b/cnr9asM+HlRQ2Qlwh2CjuqQQ9vKsKTwhQ1wAAAABJRU5ErkJggg==);
|
||||
height: 18px;
|
||||
width: 18px;
|
||||
margin-right: 0;
|
||||
float: right;
|
||||
vertical-align: middle;
|
||||
text-align: right;
|
||||
margin-top: 0px;
|
||||
margin-left: 16px;
|
||||
position: relative;
|
||||
left: 2px;
|
||||
|
||||
&:hover{
|
||||
opacity: 0.7;
|
||||
cursor: pointer;
|
||||
}
|
||||
}
|
||||
|
||||
.title{
|
||||
font-size: 120%;
|
||||
margin-right: 60px;
|
||||
}
|
||||
|
||||
hr{
|
||||
clear: both;
|
||||
margin: 6px 0px;
|
||||
border-color: #ddd;
|
||||
}
|
||||
|
||||
label{
|
||||
padding-top: 5px;
|
||||
}
|
||||
|
||||
select, input{
|
||||
height: auto;
|
||||
padding: 4px;
|
||||
}
|
||||
|
||||
*{
|
||||
font-size: 12px;
|
||||
}
|
||||
|
||||
.row.form-group.form-inline{
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.dropdown-menu{
|
||||
a{
|
||||
width: 100%;
|
||||
text-align: left;
|
||||
display: block;
|
||||
padding-top: 0;
|
||||
padding-bottom: 0;
|
||||
}
|
||||
}
|
||||
|
||||
.btn-detect{
|
||||
margin-right: 8px;
|
||||
}
|
||||
|
||||
.action-buttons{
|
||||
margin-top: 12px;
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,60 @@
|
|||
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
|
||||
<!-- Created with Inkscape (http://www.inkscape.org/) -->
|
||||
|
||||
<svg
|
||||
width="52"
|
||||
height="52"
|
||||
viewBox="0 0 13.758333 13.758333"
|
||||
version="1.1"
|
||||
id="svg8976"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
xmlns:svg="http://www.w3.org/2000/svg"
|
||||
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
|
||||
xmlns:cc="http://creativecommons.org/ns#"
|
||||
xmlns:dc="http://purl.org/dc/elements/1.1/">
|
||||
<defs
|
||||
id="defs8970" />
|
||||
<metadata
|
||||
id="metadata8973">
|
||||
<rdf:RDF>
|
||||
<cc:Work
|
||||
rdf:about="">
|
||||
<dc:format>image/svg+xml</dc:format>
|
||||
<dc:type
|
||||
rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
|
||||
</cc:Work>
|
||||
</rdf:RDF>
|
||||
</metadata>
|
||||
<g
|
||||
id="layer1"
|
||||
transform="translate(0,-283.24167)">
|
||||
<g
|
||||
id="g9543"
|
||||
transform="translate(0.76834737,-0.40970963)"
|
||||
style="stroke:#000000;stroke-opacity:1;stroke-width:0.52916667;stroke-miterlimit:4;stroke-dasharray:none;stroke-linejoin:round;stroke-linecap:round">
|
||||
<g
|
||||
id="g9551"
|
||||
transform="matrix(0.83317796,0,0,0.83296021,1.0098488,48.512648)"
|
||||
style="stroke-width:0.63520145">
|
||||
<g
|
||||
id="g9575"
|
||||
transform="matrix(1.1918583,0,0,1.1960416,-1.0686423,-56.918136)"
|
||||
style="stroke-width:0.53201765">
|
||||
<g
|
||||
id="g831"
|
||||
transform="translate(0.45113764,-0.11484945)">
|
||||
<path
|
||||
id="rect1"
|
||||
style="fill:none;stroke:#000000;stroke-width:0.798026;stroke-linecap:butt;stroke-linejoin:miter;stroke-dasharray:none;stroke-dashoffset:3.61774;stroke-opacity:1;paint-order:markers fill stroke"
|
||||
d="m 10.999825,293.33128 v 2.70001 H 8.2910396 m -5.4175705,0 H 0.16468392 v -2.70001 m 0,-5.40004 v -2.70001 H 2.8734691 m 5.4175705,0 h 2.7087854 v 2.70001" />
|
||||
<path
|
||||
fill-rule="nonzero"
|
||||
d="m 2.3768541,288.69119 c -2.424e-4,-0.0594 0.036216,-0.11541 0.095329,-0.13736 l 3.0647714,-1.14407 a 0.145889,0.14543457 0 0 1 0.1031982,3.8e-4 l 3.0538864,1.16746 c 0.063373,0.0303 0.094163,0.085 0.094163,0.14812 l -0.00331,3.92377 c 0,0.0638 -0.041033,0.11797 -0.098218,0.13784 l -3.0262749,1.06095 c -0.059785,0.0211 -0.1004864,0.0187 -0.1514519,-8.1e-4 l -3.0367925,-1.13465 c -0.058911,-0.0219 -0.095329,-0.0776 -0.095329,-0.13679 H 2.376311 v -3.87215 z m 6.1183923,0.23619 -2.7602334,1.06342 v 3.52169 l 2.7572169,-0.96652 z m -2.9083779,-1.22456 -2.6684903,0.99613 2.680465,1.03123 2.6348849,-1.01512 z m -0.1457624,5.80716 v -3.52748 l -2.7708647,-1.06599 v 3.55817 z"
|
||||
id="path1"
|
||||
style="stroke-width:0.39901321;stroke-dasharray:none;fill:#000000;fill-opacity:1" />
|
||||
</g>
|
||||
</g>
|
||||
</g>
|
||||
</g>
|
||||
</g>
|
||||
</svg>
|
||||
|
Po Szerokość: | Wysokość: | Rozmiar: 2.7 KiB |
|
|
@ -0,0 +1,14 @@
|
|||
PluginsAPI.Map.willAddControls([
|
||||
'objdetect/build/ObjDetect.js',
|
||||
'objdetect/build/ObjDetect.css'
|
||||
], function(args, ObjDetect){
|
||||
var tasks = [];
|
||||
for (var i = 0; i < args.tiles.length; i++){
|
||||
tasks.push(args.tiles[i].meta.task);
|
||||
}
|
||||
|
||||
// TODO: add support for map view where multiple tasks are available?
|
||||
if (tasks.length === 1){
|
||||
args.map.addControl(new ObjDetect({map: args.map, tasks: tasks}));
|
||||
}
|
||||
});
|
||||
|
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"name": "WebODM",
|
||||
"version": "2.5.7",
|
||||
"version": "2.5.8",
|
||||
"description": "User-friendly, extendable application and API for processing aerial imagery.",
|
||||
"main": "index.js",
|
||||
"scripts": {
|
||||
|
|
|
|||
|
|
@ -21,6 +21,7 @@ drf-nested-routers==0.11.1
|
|||
funcsigs==1.0.2
|
||||
futures==3.1.1
|
||||
gunicorn==19.8.0
|
||||
geodeep==0.9.4
|
||||
itypes==1.1.0
|
||||
kombu==4.6.7
|
||||
Markdown==3.3.4
|
||||
|
|
|
|||
Ładowanie…
Reference in New Issue