| # Copyright (c) 2021 Arm Limited. All rights reserved. |
| # SPDX-License-Identifier: Apache-2.0 |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| """ |
| Utility script to convert a set of RGB images in a given location into |
| corresponding cpp files and a single hpp file referencing the vectors |
| from the cpp files. |
| """ |
| import datetime |
| import glob |
| import math |
| import os |
| import numpy as np |
| |
| from argparse import ArgumentParser |
| from PIL import Image, UnidentifiedImageError |
| from jinja2 import Environment, FileSystemLoader |
| |
| parser = ArgumentParser() |
| parser.add_argument("--image_path", type=str, help="path to images folder or image file to convert.") |
| parser.add_argument("--source_folder_path", type=str, help="path to source folder to be generated.") |
| parser.add_argument("--header_folder_path", type=str, help="path to header folder to be generated.") |
| parser.add_argument("--image_size", type=int, nargs=2, help="Size (width and height) of the converted images.") |
| parser.add_argument("--license_template", type=str, help="Header template file", |
| default="header_template.txt") |
| args = parser.parse_args() |
| |
| env = Environment(loader=FileSystemLoader(os.path.join(os.path.dirname(__file__), 'templates')), |
| trim_blocks=True, |
| lstrip_blocks=True) |
| |
| |
| def write_hpp_file(header_file_path, cc_file_path, header_template_file, num_images, image_filenames, |
| image_array_names, image_size): |
| print(f"++ Generating {header_file_path}") |
| header_template = env.get_template(header_template_file) |
| hdr = header_template.render(script_name=os.path.basename(__file__), |
| gen_time=datetime.datetime.now(), |
| year=datetime.datetime.now().year) |
| env.get_template('Images.hpp.template').stream(common_template_header=hdr, |
| imgs_count=num_images, |
| img_size=str(image_size[0] * image_size[1] * 3), |
| var_names=image_array_names) \ |
| .dump(str(header_file_path)) |
| |
| env.get_template('Images.cc.template').stream(common_template_header=hdr, |
| var_names=image_array_names, |
| img_names=image_filenames) \ |
| .dump(str(cc_file_path)) |
| |
| |
| def write_individual_img_cc_file(image_filename, cc_filename, header_template_file, original_image, |
| image_size, array_name): |
| print(f"++ Converting {image_filename} to {os.path.basename(cc_filename)}") |
| |
| header_template = env.get_template(header_template_file) |
| hdr = header_template.render(script_name=os.path.basename(__file__), |
| gen_time=datetime.datetime.now(), |
| file_name=os.path.basename(image_filename), |
| year=datetime.datetime.now().year) |
| # IFM size |
| ifm_width = image_size[0] |
| ifm_height = image_size[1] |
| |
| # Aspect ratio resize |
| scale_ratio = (float)(max(ifm_width, ifm_height)) / (float)(min(original_image.size[0], original_image.size[1])) |
| resized_width = (int)(original_image.size[0] * scale_ratio) |
| resized_height = (int)(original_image.size[1] * scale_ratio) |
| resized_image = original_image.resize([resized_width,resized_height], Image.BILINEAR) |
| |
| # Crop the center of the image |
| resized_image = resized_image.crop(( |
| (resized_width - ifm_width) / 2, # left |
| (resized_height - ifm_height) / 2, # top |
| (resized_width + ifm_width) / 2, # right |
| (resized_height + ifm_height) / 2 # bottom |
| )) |
| |
| # Convert the image and write it to the cc file |
| rgb_data = np.array(resized_image, dtype=np.uint8).flatten() |
| hex_line_generator = (', '.join(map(hex, sub_arr)) |
| for sub_arr in np.array_split(rgb_data, math.ceil(len(rgb_data) / 20))) |
| env.get_template('image.cc.template').stream(common_template_header=hdr, |
| var_name=array_name, |
| img_data=hex_line_generator) \ |
| .dump(str(cc_filename)) |
| |
| |
| def main(args): |
| # Keep the count of the images converted |
| image_idx = 0 |
| image_filenames = [] |
| image_array_names = [] |
| |
| |
| if os.path.isdir(args.image_path): |
| filepaths = sorted(glob.glob(os.path.join(args.image_path, '**/*.*'), recursive=True)) |
| elif os.path.isfile(args.image_path): |
| filepaths = [args.image_path] |
| else: |
| raise OSError("Directory or file does not exist.") |
| |
| for filepath in filepaths: |
| filename = os.path.basename(filepath) |
| |
| try: |
| original_image = Image.open(filepath).convert("RGB") |
| except UnidentifiedImageError: |
| print(f"-- Skipping file {filepath} due to unsupported image format.") |
| continue |
| |
| image_filenames.append(filename) |
| |
| # Save the cc file |
| cc_filename = os.path.join(args.source_folder_path, |
| (filename.rsplit(".")[0]).replace(" ", "_") + ".cc") |
| array_name = "im" + str(image_idx) |
| image_array_names.append(array_name) |
| write_individual_img_cc_file(filename, cc_filename, args.license_template, |
| original_image, args.image_size, array_name) |
| |
| # Increment image index |
| image_idx = image_idx + 1 |
| |
| header_filename = "InputFiles.hpp" |
| header_filepath = os.path.join(args.header_folder_path, header_filename) |
| common_cc_filename = "InputFiles.cc" |
| common_cc_filepath = os.path.join(args.source_folder_path, common_cc_filename) |
| |
| if len(image_filenames) > 0: |
| write_hpp_file(header_filepath, common_cc_filepath, args.license_template, |
| image_idx, image_filenames, image_array_names, args.image_size) |
| else: |
| raise FileNotFoundError("No valid images found.") |
| |
| |
| if __name__ == '__main__': |
| main(args) |