Merge pull request #81 from ziatdinovmax/master

Update download links in examples
pycroscopy · Dec 2, 2023 · 0eaedb7 · 0eaedb7
2 parents 657ee4f + ef9130d
commit 0eaedb7
Showing 1 changed file with 12 additions and 14 deletions.
diff --git a/examples/notebooks/AtomicSemanticSegmention.ipynb b/examples/notebooks/AtomicSemanticSegmention.ipynb
@@ -3,11 +3,11 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "colab_type": "text",
-        "id": "view-in-github"
+        "id": "view-in-github",
+        "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/pycroscopy/atomai/blob/master/examples/notebooks/AtomicSemanticSegmention.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/ziatdinovmax/atomai/blob/master/examples/notebooks/AtomicSemanticSegmention.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -125,11 +125,10 @@
       },
       "outputs": [],
       "source": [
-        "download_link1 =  'https://www.dropbox.com/s/q961z099trfqioj/ferroics-exp-small-m.npz?dl=0'\n",
-        "download_link2 =  'https://www.dropbox.com/s/w7j12xchjd0at77/lbfo_expdata.npy?dl=0'\n",
-        "\n",
-        "!wget -q $download_link1 -O 'training_data.npy'\n",
-        "!wget -q $download_link2 -O 'validation_data.npy'\n",
+        "download_link1 = 'https://drive.google.com/uc?id=1-4-IQ71m--OelQb1891GnbG1Ako1-DKh'\n",
+        "download_link2 = 'https://drive.google.com/uc?id=18JK9GcMPMWHmHtwArujVQRLr6N4VIM_j'\n",
+        "!gdown -q $download_link1 -O 'training_data.npy'\n",
+        "!gdown -q $download_link2 -O 'validation_data.npy'\n",
         "\n",
         "# Load train/test data (this is a simple dataset generated just from a single image)\n",
         "dataset = np.load('training_data.npy')\n",
@@ -222,7 +221,7 @@
         "\n",
         "n = n + 1\n",
         "fig = plt.figure( figsize=(30, 8))\n",
-        "for i in range(1, n):   \n",
+        "for i in range(1, n):\n",
         "    ax = fig.add_subplot(2, n, i)\n",
         "    ax.imshow(images[i-1,0,:,:], cmap='gray')\n",
         "    ax.set_title('Augmented image ' + str(i))\n",
@@ -447,7 +446,7 @@
       "source": [
         "model.fit(images, labels, images_test, labels_test, # training data\n",
         "          training_cycles=300, compute_accuracy=True, swa=True # training parameters\n",
-        ") "
+        ")"
       ]
     },
     {
@@ -848,9 +847,8 @@
   "metadata": {
     "accelerator": "GPU",
     "colab": {
-      "collapsed_sections": [],
-      "include_colab_link": true,
-      "provenance": []
+      "provenance": [],
+      "include_colab_link": true
     },
     "kernelspec": {
       "display_name": "Python 3",
@@ -859,4 +857,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}