kopia lustrzana https://github.com/OpenDroneMap/WebODM
Crop support in objdetect plugin
rodzic
ad4baab117
commit
0f2387b5ab
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@ -6,8 +6,11 @@ from app.plugins.views import TaskView, GetTaskResult, TaskResultOutputError
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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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def detect(orthophoto, model, classes=None, progress_callback=None):
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def detect(orthophoto, model, classes=None, crop=None, progress_callback=None):
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import os
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import subprocess
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import shutil
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import tempfile
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from webodm import settings
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try:
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@ -17,6 +20,31 @@ def detect(orthophoto, model, classes=None, progress_callback=None):
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return {'error': "GeoDeep library is missing"}
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try:
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if crop is not None:
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# Make a VRT with the crop area
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gdalwarp_bin = shutil.which("gdalwarp")
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if gdalwarp_bin is None:
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return {'error': 'Cannot find gdalwarp'}
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tmpdir = os.path.join(settings.MEDIA_TMP, os.path.basename(tempfile.mkdtemp('_objdetect', dir=settings.MEDIA_TMP)))
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crop_geojson = os.path.join(tmpdir, "crop.geojson")
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ortho_vrt = os.path.join(tmpdir, "orthophoto.vrt")
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with open(crop_geojson, "w", encoding="utf-8") as f:
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f.write(crop)
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p = subprocess.Popen([gdalwarp_bin, "-cutline", crop_geojson,
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'--config', 'GDALWARP_DENSIFY_CUTLINE', 'NO',
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'-crop_to_cutline', '-of', 'VRT',
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orthophoto, ortho_vrt], 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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if p.returncode != 0:
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return {'error': f'Error calling gdalwarp: {str(err)}'}
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orthophoto = ortho_vrt
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return {'output': gdetect(orthophoto, model, output_type='geojson', classes=classes, max_threads=settings.WORKERS_MAX_THREADS, progress_callback=progress_callback)}
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except Exception as e:
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return {'error': str(e)}
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@ -44,7 +72,7 @@ class TaskObjDetect(TaskView):
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return Response({'error': 'Invalid model'}, status=status.HTTP_200_OK)
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model_id, classes = model_map[model]
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celery_task_id = run_function_async(detect, orthophoto, model_id, classes, with_progress=True).task_id
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celery_task_id = run_function_async(detect, orthophoto, model_id, classes, task.crop.geojson if task.crop is not None else None, with_progress=True).task_id
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return Response({'celery_task_id': celery_task_id}, status=status.HTTP_200_OK)
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