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import os |
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import shutil |
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import glob |
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from tqdm import tqdm |
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import cv2 |
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from natsort import natsorted |
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import json |
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import math |
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def config_setup(): |
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config = {} |
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config["img_width_for_resize"] = 1024 |
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config["input_scenes"] = ["Hospital", "Office_Room_1", "Office_Room_2", "Parking_Lot"] |
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config["output_folders"] = ["src/dataset/mp3d/", "src/dataset/pano/", "src/dataset/s2d3d/"] |
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config["output_RGB_rules"] = ["image/", "test/img/pano_", "test/img/camera_"] |
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config["output_json_rules"] = ["label/", "test/label_cor/pano_", "test/label_cor/camera_"] |
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config["except_list"] = ["017_Hospital", |
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"044_Hospital", |
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"049_Hospital", |
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"012_Office_Room_2", |
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"034_Office_Room_2", |
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"008_Office_Room_1", |
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"010_Office_Room_1", |
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"014_Office_Room_1", |
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"017_Office_Room_1", |
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"025_Office_Room_1", |
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"037_Office_Room_1" |
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] |
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return config |
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def xyz2uv(xyz): |
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normXZ = math.sqrt( math.pow(xyz[0], 2) + math.pow(xyz[2], 2) ) |
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if normXZ < 0.000001: |
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normXZ = 0.000001 |
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normXYZ = math.sqrt(math.pow(xyz[0], 2) + |
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math.pow(xyz[1], 2) + |
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math.pow(xyz[2], 2) ) |
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v = math.asin(xyz[1] / normXYZ) |
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u = math.asin(xyz[0] / normXZ) |
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if xyz[2] > 0 and u > 0: |
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u = math.pi - u |
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elif xyz[2] > 0 and u < 0: |
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u = -math.pi - u |
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uv = (u, v) |
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return uv |
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def uv2coords(uv): |
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coordsX = uv[0] / (2 * math.pi) + 0.5 |
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coordsY = -uv[1] / math.pi + 0.5 |
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coords = (coordsX, coordsY) |
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return coords |
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def write_json2txt(input_json, output_txt, img_width): |
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output_list = [] |
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with open(input_json) as f: |
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dict_json = json.load(f) |
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for point in dict_json["layoutPoints"]["points"]: |
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layout_up = uv2coords(xyz2uv([point["xyz"][0], point["xyz"][1] + dict_json["layoutHeight"] - dict_json["cameraHeight"], point["xyz"][2]])) |
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layout_down = uv2coords(xyz2uv([point["xyz"][0], point["xyz"][1] - dict_json["cameraHeight"], point["xyz"][2]])) |
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output_list.append(" ".join([str(int(layout_up[0]*img_width)), str(int(layout_up[1]*img_width/2))]) + "\n") |
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output_list.append(" ".join([str(int(layout_down[0]*img_width)), str(int(layout_down[1]*img_width/2))]) + "\n") |
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with open(output_txt, "a") as t: |
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t.writelines(output_list) |
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return 0 |
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def main(): |
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config = config_setup() |
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for input_scene in config["input_scenes"]: |
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img_files = natsorted(glob.glob(input_scene+"/RGB_mh_aligned/*_equi_rgb_aligned.png")) |
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json_files = natsorted(glob.glob(input_scene+"/layout/*_equi_layout.json")) |
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for img_file, json_file in zip(img_files, json_files): |
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idx = img_file.split(".")[0].split("/")[-1].split(input_scene)[0] |
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if idx + "_" + input_scene in config["except_list"]: |
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continue |
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else: |
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for output_folder, output_RGB_rule, output_json_rule in zip(config["output_folders"], config["output_RGB_rules"], config["output_json_rules"]): |
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os.makedirs(output_folder+output_RGB_rule.split("/")[:-1], exist_ok=True) |
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os.makedirs(output_folder+output_json_rule.split("/")[:-1], exist_ok=True) |
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output_file = output_folder+output_RGB_rule+idx+"_"+input_scene+"_equi_rgb_aligned.png" |
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output_txt = output_folder+output_json_rule+idx+"_"+input_scene+"_equi_layout.txt" |
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img = cv2.resize(cv2.imread(img_file), (config["img_width_for_resize"], int(config["img_width_for_resize"]/2))) |
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cv2.imwrite(output_file, img) |
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img_width = img.shape[1] |
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write_json2txt(json_file, output_txt, img_width) |
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if __name__ == "__main__": |
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main() |
