minor changes

README.md

@@ -2,7 +2,6 @@
 license: cc-by-nc-sa-4.0
 language:
 - en
-library_name: generic
 pipeline_tag: depth-estimation
 tags:
 - depth-estimation
@@ -11,31 +10,6 @@ tags:
 - aerial
 - UAV
 - drone
-code_samples:
-  - language: python
-    code: |
-      import cv2
-      import torch
-      from depth_anything_v2.dpt import DepthAnythingV2
-      from huggingface_hub import hf_hub_download
-
-      # Initialize the fine-tuned aerial model architecture
-      model = DepthAnythingV2(encoder='vits', features=64, out_channels=[48, 96, 192, 384])
-
-      # Safely stream and cache the checkpoint from this Hugging Face repository
-      checkpoint_path = hf_hub_download(
-          repo_id="your_username/depth_anything_v2_vits_occufly", 
-          filename="OccuFly-DepthAnything2.pth"
-      )
-
-      # Load the weights state dict
-      model.load_state_dict(torch.load(checkpoint_path, map_location='cpu'))
-      model.eval()
-
-      # Run inference
-      with torch.no_grad():
-          raw_img = cv2.imread('example.jpg')
-          depth = model.infer_image(raw_img)  # HxW metric depth map
 ---
 
 # OccuFly's Aerial DepthAnythingV2