major package upgrade&new weights

README.md

@@ -22,10 +22,9 @@ Keras version implemented by Yuka Kihara can be found [here](https://github.com/
 - 🐉2025/02: **We organised the model weights on HuggingFace, no more manual downloads needed!**
 - 🐉2025/02: **Multiple [pre-trained weights](https://huggingface.co/YukunZhou), including MAE-based and DINOV2-based, are added!**
 - 🐉2025/02: **We update the version of packages, such as CUDA12+ and PyTorch 2.3+!**
-- 🐉2024/01: [Feature vector notebook](https://github.com/rmaphoh/RETFound_MAE/blob/main/RETFound_Feature.ipynb) are now online!
+- 🐉2024/01: [Feature vector notebook](https://github.com/rmaphoh/RETFound_MAE/blob/main/latent_feature.ipynb) are now online!
 - 🐉2024/01: [Data split and model checkpoints](BENCHMARK.md) for public datasets are now online!
 - 🎄2023/12: [Colab notebook](https://colab.research.google.com/drive/1_X19zdMegmAlqPAEY0Ao659fzzzlx2IZ?usp=sharing) is now online - free GPU & simple operation!
-- 2023/09: a [visualisation demo](https://github.com/rmaphoh/RETFound_MAE/blob/main/RETFound_visualize.ipynb) is added
 - 2023/10: change the hyperparameter of [input_size](https://github.com/rmaphoh/RETFound_MAE#:~:text=finetune%20./RETFound_cfp_weights.pth%20%5C-,%2D%2Dinput_size%20224,-For%20evaluation%20only) for any image size
 
 

latent_feature.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "0ae19951",
    "metadata": {},
    "outputs": [],
@@ -14,6 +14,7 @@
     "import pandas as pd\n",
     "from PIL import Image\n",
     "import models_vit as models\n",
+    "from huggingface_hub import hf_hub_download\n",
     "np.set_printoptions(threshold=np.inf)\n",
     "np.random.seed(1)\n",
     "torch.manual_seed(1)"
@@ -113,19 +114,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "54acfcd7",
    "metadata": {},
    "outputs": [],
    "source": [
-    "chkpt_dir = '/home/jupyter/huggingface_repo/RETFound_dinov2_meh.pth'\n",
-    "data_path = '/home/jupyter/public_dataset/IDRiD_data/val/anoDR'\n",
-    "device = torch.device('cuda')"
+    "chkpt_dir = hf_hub_download(repo_id=\"YukunZhou/RETFound_dinov2_meh\", filename=\"RETFound_dinov2_meh.pth\")\n",
+    "data_path = 'DATA_PATH'\n",
+    "device = torch.device('cuda')\n",
+    "arch='dinov2_large'"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "id": "0296f74e",
    "metadata": {},
    "outputs": [],
@@ -133,7 +135,7 @@
     "[name_list,feature]=get_feature(data_path,\n",
     "                chkpt_dir,\n",
     "                device,\n",
-    "                arch='dinov2_large')"
+    "                arch=arch)"
    ]
   },
   {