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