OpenDroneMap-ODM/scripts/resize.py

122 wiersze
4.0 KiB
Python
Czysty Zwykły widok Historia

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import ecto
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import cv2
import pyexiv2
from functools import partial
from multiprocessing import Pool
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from opendm import log
from opendm import system
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from opendm import io
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from opendm import types
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def resize(src_dir, target_dir, resize_to, rerun_cell, photo):
# define image paths
path_file = photo.path_file
new_path_file = io.join_paths(target_dir, photo.filename)
# set raw image path in case we want to rerun cell
if io.file_exists(new_path_file) and rerun_cell:
path_file = io.join_paths(src_dir, photo.filename)
if not io.file_exists(new_path_file) or rerun_cell:
# open and resize image with opencv
img = cv2.imread(path_file)
# compute new size
max_side = max(img.shape[0], img.shape[1])
if max_side <= resize_to:
log.ODM_WARNING('Resize Parameter is greater than the largest side of the image')
ratio = float(resize_to) / float(max_side)
img_r = cv2.resize(img, None, fx=ratio, fy=ratio)
# write image with opencv
cv2.imwrite(new_path_file, img_r)
# read metadata with pyexiv2
old_meta = pyexiv2.ImageMetadata(path_file)
new_meta = pyexiv2.ImageMetadata(new_path_file)
old_meta.read()
new_meta.read()
# copy metadata
old_meta.copy(new_meta)
# update metadata size
new_meta['Exif.Photo.PixelXDimension'] = img_r.shape[0]
new_meta['Exif.Photo.PixelYDimension'] = img_r.shape[1]
new_meta.write()
# update photos array with new values
photo.path_file = new_path_file
photo.width = img_r.shape[0]
photo.height = img_r.shape[1]
photo.update_focal()
# log message
log.ODM_DEBUG('Resized %s | dimensions: %s' %
(photo.filename, img_r.shape))
else:
# log message
log.ODM_WARNING('Already resized %s | dimensions: %s x %s' %
(photo.filename, photo.width, photo.height))
return photo
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class ODMResizeCell(ecto.Cell):
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def declare_params(self, params):
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params.declare("resize_to", "resizes images by the largest side", 2400)
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def declare_io(self, params, inputs, outputs):
inputs.declare("tree", "Struct with paths", [])
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inputs.declare("args", "The application arguments.", [])
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inputs.declare("photos", "Clusters inputs. list of ODMPhoto's", [])
outputs.declare("photos", "Clusters output. list of ODMPhoto's", [])
def process(self, inputs, outputs):
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# Benchmarking
start_time = system.now_raw()
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log.ODM_INFO('Running ODM Resize Cell')
# get inputs
args = self.inputs.args
tree = self.inputs.tree
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photos = self.inputs.photos
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if not photos:
log.ODM_ERROR('Not enough photos in photos to resize')
return ecto.QUIT
if self.params.resize_to <= 0:
log.ODM_ERROR('Resize parameter must be greater than 0')
return ecto.QUIT
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# create working directory
system.mkdir_p(tree.dataset_resize)
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log.ODM_DEBUG('Resizing dataset to: %s' % tree.dataset_resize)
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# check if we rerun cell or not
rerun_cell = (args.rerun is not None and
args.rerun == 'resize') or \
(args.rerun_all) or \
(args.rerun_from is not None and
'resize' in args.rerun_from)
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# loop over photos
photos = Pool().map(
partial(resize,
tree.dataset_raw,
tree.dataset_resize,
self.params.resize_to,
rerun_cell),
photos
)
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log.ODM_INFO('Resized %s images' % len(photos))
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# append photos to cell output
self.outputs.photos = photos
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if args.time:
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system.benchmark(start_time, tree.benchmarking, 'Resizing')
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log.ODM_INFO('Running ODM Resize Cell - Finished')
return ecto.OK if args.end_with != 'resize' else ecto.QUIT