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main.py
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51 lines (42 loc) · 2.24 KB
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import os
import platform
from src.GeometricFunctions import draw_3d_axis_on_chessboard
from src.PutImagesOnMarks import PutImagesOnMarks
from src.getFiducialLocation import getFiducialLocation
from src.CameraCalibration import calibrate_camera_from_images
from src.Config import parse_settings_file
import src.Model3DOperations
if __name__ == "__main__":
# Carrega configurações do arquivo
Settings = parse_settings_file("config.yaml")
print(f"Running on {platform.system()}")
# --- Etapa 1: Marcação Fiducial ---
if Settings.get("do fiducial mark"):
mark_image_name = os.path.join(Settings["directory fiducial image"], Settings["name fiducial image"])
source_image_name = os.path.join(Settings["directory 3d image"], Settings["name 3d image"])
corners, ids, rejected_img_points = getFiducialLocation(mark_image_name)
PutImagesOnMarks(ids, corners, source_image_name, mark_image_name)
# --- Etapa 2: Calibração da câmera ---
if Settings.get("do calibration"):
resultado = calibrate_camera_from_images(Settings)
if resultado:
camera_matrix, dist_coeffs, rvecs, tvecs = resultado
rvecs_np = src.SaveData.concatenate_numpy_arrays_from_tuple(rvecs, axis=1)
tvecs_np = src.SaveData.concatenate_numpy_arrays_from_tuple(tvecs, axis=1)
calibration_data = {
"camera_matrix": camera_matrix,
"dist_coeffs": dist_coeffs,
"rvecs": rvecs_np,
"tvecs": tvecs_np
}
file_directory_name = os.path.join(Settings["directory data file"], Settings["data file name"])
src.SaveData.save_multiple_numpy_to_yaml(calibration_data, file_directory_name)
print("Calibração realizada com sucesso!")
else:
print("Calibração não foi bem-sucedida.")
# --- Etapa 3: Exibir modelo 3D ---
if Settings.get("put 3D frame"):
file_directory_name = os.path.join("Models3D", "Cubo1.obj") # Ajuste para outro modelo, se necessário
model_vertices, model_faces = src.Model3DOperations.load_blender_model(file_directory_name)
# Nova função com pyglet
src.Model3DOperations.run_pyglet_window(model_vertices, model_faces)