import ecto import cv2 import pyexiv2 from opendm import log from opendm import system from opendm import io class OMDResizeCell(ecto.Cell): def declare_params(self, params): params.declare("args", "The application arguments.", []) def declare_io(self, params, inputs, outputs): inputs.declare("project_path", "Clusters output. list of tuples", []) inputs.declare("photos", "Clusters inputs. list of ODMPhoto's", []) outputs.declare("photos", "Clusters output. list of ODMPhoto's", []) def process(self, inputs, outputs): # get parameters args = self.params.args # get inputs photos = inputs.photos project_path = inputs.project_path # preconditions if len(photos) < 1: log.ODM_ERROR('Not enough photos in photos to resize') else: # create working directory working_dir = io.join_paths(project_path, 'images_resize') system.mkdir_p(working_dir) # loop over photos for photo in photos: try: # open and resize image with opencv img = cv2.imread(photo.path_file) # compute new size max_side = max(photo.width, photo.height) ratio = float(args['resize_to']) / float(max_side) img_r = cv2.resize(img, None, fx=ratio, fy=ratio) # write image with opencv new_path_file = io.join_paths(working_dir, photo.file_name) cv2.imwrite(new_path_file, img_r) # read metadata with pyexiv2 old_meta = pyexiv2.ImageMetadata(photo.path_file) new_meta = pyexiv2.ImageMetadata(new_path_file) old_meta.read() new_meta.read() # copy metadata old_meta.copy(new_meta) new_meta.write() # log message log.ODM_DEBUG('Resized image %s | dimensions: %s' % \ (photo.file_name, img_r.shape)) # TODO(edgar): update photos array photos[photo] = datatypes.ODMPhoto(photo.path_file, args) except cv2.error as e: # something went wrong with this image log.ODM_ERROR('Could not resize image %s' % photo.file_name) log.ODM_ERROR('%s' % e) log.ODM_INFO('Resized %s images' % len(photos)) # append photos to cell output outputs.photos = photos