Update script conventions

Infer_2Photon.py

@@ -140,7 +140,7 @@ def save_results(ml_super_frame, count_frame, subpixel_dist,
     plt.close()
     np.save(output_dir / '2Photon_subpixel_Distribution.npy', subpixel_dist)
     std, mean = np.std(subpixel_dist), np.mean(subpixel_dist)
-    print(f"[Plotting]: Sub-pixel distribution: Std/Mean: {std/mean:.4f}")
+    print(f"[Plotting]: Sub-pixel distribution: RMS/Mean: {std/mean:.4f}, expected  value = {1/np.sqrt(mean):.4f} for uniform distribution")
 
     print(f"Results saved to: {output_dir}")
 
@@ -149,7 +149,8 @@ if __name__ == "__main__":
     output_dir = prepare_output_folder(conf)
 
     ### model loading
-    model = get_double_photon_model_class(conf.model.version)().cuda()
+    model_version = conf.model.experiment_name.split('_v')[-1][:6]
+    model = get_double_photon_model_class(model_version)().cuda()
     model.load_state_dict(torch.load(f'{conf.model.base_dir}/{conf.model.experiment_name}/Models/{conf.model.name}', weights_only=True))
     # model.eval()