Bug fixed: model.eval() is back

Infer_3Photon.py

@@ -153,7 +153,7 @@ if __name__ == "__main__":
     model_version = conf.model.experiment_name.split('_v')[-1][:6]
     model = get_triple_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()
+    model.eval()
 
     ### data loading
     files_list = get_files_list(conf)
@@ -161,7 +161,7 @@ if __name__ == "__main__":
     BinningFactor = conf.inference.binning_factor
     numberOfAugOps = conf.inference.num_aug_ops
     flag_normalize = conf.data.normalize
-    nChunks = np.ceil(len(files_list) / 16).astype(int)
+    nChunks = np.ceil(len(files_list) / conf.inference.chunk_size).astype(int)
 
     ml_super_frame = np.zeros((NY*BinningFactor, NX*BinningFactor), dtype=np.int32)
     count_frame = np.zeros((NY, NX), dtype=np.int32)