We create a comprehensive software solution for 3D reconstruction, photomodeling, and camera tracking. Our objective is to establish a robust software foundation that incorporates cutting-edge computer vision algorithms, which can be rigorously tested, analyzed, and reused. To ensure the delivery of advanced algorithms that meet the high standards of quality and reliability throughout the visual effects and filming workflow, it is essential to foster connections between academia and industry. Photogrammetry, the discipline focused on obtaining measurements from photographs, deduces the geometry of a scene using a collection of unordered images or videos. While photography captures a 3D scene onto a 2D surface, resulting in a loss of depth perception, photogrammetry seeks to reverse this effect. The comprehensive modeling of a scene is achieved by linking two computer vision techniques: "Structure-from-Motion" (SfM) and "Multi View Stereo" (MVS). This integrated pipeline enhances the accuracy and detail of the reconstructed 3D models. Ultimately, our mission is to push the boundaries of visual representation in various applications.