Merge pull request #109 from kornia/copilot/fix-failing-ci-job

Fix CI: bump kornia/workflows to v1.13.0 for PyTorch 2.5.1 compatibility

Author: ducha-aiki

.github/workflows/build.yml

@@ -18,7 +18,7 @@ jobs:
       matrix:
         kornia-ref: ['main'] # TODO: coverage check through multiple versions: , 'v0.7.1', 'v0.7.0']
 
-    uses: kornia/workflows/.github/workflows/tutorials.yml@v1.10.1
+    uses: kornia/workflows/.github/workflows/tutorials.yml@v1.13.0
     with:
       ref: ${{ matrix.kornia-ref }}
 
@@ -33,10 +33,10 @@ jobs:
         kornia-ref: ['main']
 
     steps:
-    - uses: kornia/workflows/.github/actions/env@v1.10.1
+    - uses: kornia/workflows/.github/actions/env@v1.13.0
       with:
         ref: ${{ matrix.kornia-ref }}
-        extra-deps: torchvision==0.18.1+cpu
+        extra-deps: torchvision==0.20.1+cpu --find-links https://download.pytorch.org/whl/torchvision
 
     - uses: actions/checkout@v4
       with:

.github/workflows/deploy.yml

@@ -15,7 +15,7 @@ jobs:
         kornia-ref: ['main']
 
     steps:
-    - uses: kornia/workflows/.github/actions/env@v1.10.1
+    - uses: kornia/workflows/.github/actions/env@v1.13.0
       with:
         ref: ${{ matrix.kornia-ref }}
 

nbs/color_yuv420_to_rgb.ipynb

@@ -203,7 +203,7 @@
     }
    ],
    "source": [
-    "(y, uv) = read_frame(\"foreman_qcif.yuv\", 0)  # using compression classic foreman\n",
+    "y, uv = read_frame(\"foreman_qcif.yuv\", 0)  # using compression classic foreman\n",
     "plt.imshow((y.numpy()[0, 0, :, :] * 255.0).astype(np.uint8), cmap=\"gray\")\n",
     "plt.figure()\n",
     "plt.imshow(((uv.numpy()[0, 0, :, :] + 0.5) * 255.0).astype(np.uint8), cmap=\"gray\")\n",
@@ -254,8 +254,8 @@
     "import cv2\n",
     "\n",
     "loftr = kornia.feature.LoFTR(\"outdoor\")\n",
-    "(y0, uv0) = read_frame(\"foreman_qcif.yuv\", 175)\n",
-    "(y1, uv1) = read_frame(\"foreman_qcif.yuv\", 185)\n",
+    "y0, uv0 = read_frame(\"foreman_qcif.yuv\", 175)\n",
+    "y1, uv1 = read_frame(\"foreman_qcif.yuv\", 185)\n",
     "rgb0 = kornia.color.yuv420_to_rgb(y0, uv0)\n",
     "rgb1 = kornia.color.yuv420_to_rgb(y1, uv1)\n",
     "\n",

nbs/connected_components.ipynb

@@ -72,7 +72,7 @@
     }
    ],
    "source": [
-    "#%%captureb\n",
+    "# %%captureb\n",
     "!pip install kornia\n",
     "!pip install kornia-rs"
    ]
@@ -223,11 +223,12 @@
     }
    ],
    "source": [
-    "\n",
-    "from PIL import Image\n",
     "import numpy as np\n",
-    "img_t = K.image_to_tensor(np.array(Image.open(\"cells_binary.png\").convert(\"L\")))[None, ...] # temp solution until CI updates version\n",
-    "#img_t = K.io.load_image(\"cells_binary.png\", K.io.ImageLoadType.GRAY32)[None, ...]\n",
+    "\n",
+    "img_t = K.image_to_tensor(np.array(Image.open(\"cells_binary.png\").convert(\"L\")))[\n",
+    "    None, ...\n",
+    "]  # temp solution until CI updates version\n",
+    "# img_t = K.io.load_image(\"cells_binary.png\", K.io.ImageLoadType.GRAY32)[None, ...]\n",
     "print(img_t.shape)"
    ]
   },

nbs/image_registration.ipynb

@@ -436,13 +436,11 @@
     "data_url = \"data:video/mp4;base64,\" + b64encode(mp4).decode()\n",
     "\n",
     "\n",
-    "HTML(\n",
-    "    f\"\"\"\n",
+    "HTML(f\"\"\"\n",
     "<video width=400 controls>\n",
     "      <source src=\"{data_url}\" type=\"video/mp4\">\n",
     "</video>\n",
-    "\"\"\"\n",
-    ")"
+    "\"\"\")"
    ]
   },
   {