1

app.py

@@ -114,6 +114,7 @@ def generate_monocular_depth_maps(img_list, depth_prior_name):
           image = Image.open(image_path)
           #print(image.size)
           depth = pipe(image)["predicted_depth"].numpy()
+          print(depth.max(),depth.min())
           depth = cv2.resize(depth[0], image.size, interpolation=cv2.INTER_LANCZOS4)
           focallength_px = 200
           print(depth.max(),depth.min())
@@ -139,7 +140,6 @@ def local_get_reconstructed_scene(filelist, min_conf_thr, as_pointcloud, mask_sk
     model = AsymmetricCroCo3DStereo.from_pretrained(weights_path).to(device)  
     output = inference(pairs, model, device, batch_size=batch_size, verbose=not silent)
     mode = GlobalAlignerMode.PointCloudOptimizer  
-    print(output)
     scene = global_aligner(output, device=device, mode=mode, verbose=not silent, shared_focal = True, temporal_smoothing_weight=0.01, translation_weight=1.0,
                                flow_loss_weight=0.01, flow_loss_start_epoch=0.1, flow_loss_thre=25, use_self_mask=True,
                                num_total_iter=300, empty_cache= len(filelist) > 72)