Merge pull request #33 from voxel51/opencv-iss

Add OpenCV installation to notebooks
voxel51 · Jan 13, 2022 · 1148120 · 1148120
2 parents 7761cc7 + d453416
commit 1148120
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Showing 16 changed files with 292 additions and 24 deletions.
diff --git a/examples/comparing_YOLO_and_EfficientDet.ipynb b/examples/comparing_YOLO_and_EfficientDet.ipynb
@@ -44,6 +44,31 @@
     "For more information check out the [YOLOv4 blog post](https://medium.com/voxel51/fifteen-minutes-with-fiftyone-yolov4-180cf66923a9?source=friends_link&sk=71922580c58ef371fbbb80f7356a872d) and [EfficientDet blog post](https://medium.com/voxel51/fifteen-minutes-with-fiftyone-efficientdet-d84b60ffff28?source=friends_link&sk=cf3f54dc3b8544e45fc70c07ae0eea30)."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setup\n",
+    "\n",
+    "If you haven't already, install FiftyOne:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install fiftyone"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -374,7 +399,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

diff --git a/examples/deepfakes_in_politics.ipynb b/examples/deepfakes_in_politics.ipynb
@@ -80,9 +80,30 @@
    "source": [
     "## Setup\n",
     "\n",
-    "1) Ensure that FiftyOne is installed, [follow these instructions to install.](https://voxel51.com/docs/fiftyone/getting_started/install.html)\n",
-    "\n",
-    "2) [Download the dataset containing deepfake videos and labels.](https://drive.google.com/file/d/1t8nAEFOw-khYwbaOLP5IYMq6mbvJY06Y/view?usp=sharing) Then unzip it and set the path below:"
+    "If you haven't already, install FiftyOne:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install fiftyone"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[Download the dataset containing deepfake videos and labels.](https://drive.google.com/file/d/1t8nAEFOw-khYwbaOLP5IYMq6mbvJY06Y/view?usp=sharing) Then unzip it and set the path below:"
    ]
   },
   {
@@ -290,7 +311,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

diff --git a/examples/digging_into_coco.ipynb b/examples/digging_into_coco.ipynb
@@ -64,6 +64,13 @@
     "!pip install fiftyone"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -764,7 +771,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

diff --git a/examples/emotion_recognition_presidential_debate.ipynb b/examples/emotion_recognition_presidential_debate.ipynb
@@ -57,6 +57,31 @@
     "And the emotion recognition model used is from https://github.com/justinshenk/fer."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setup\n",
+    "\n",
+    "If you haven't already, install FiftyOne:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install fiftyone"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -205,7 +230,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

diff --git a/examples/exploring_classification_hardness.ipynb b/examples/exploring_classification_hardness.ipynb
@@ -75,6 +75,13 @@
     "!pip install fiftyone"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -1055,9 +1062,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "test",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "test"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1069,7 +1076,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

diff --git a/examples/image_deduplication.ipynb b/examples/image_deduplication.ipynb
@@ -86,6 +86,13 @@
     "!pip install fiftyone"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -1142,9 +1149,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "test",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "test"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1156,7 +1163,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

diff --git a/examples/image_uniqueness.ipynb b/examples/image_uniqueness.ipynb
@@ -44,6 +44,31 @@
     "For more details, check out the in-depth [image uniqueness tutorial](https://voxel51.com/docs/fiftyone/tutorials/uniqueness.html)."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setup\n",
+    "\n",
+    "If you haven't already, install FiftyOne:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install fiftyone"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -446,7 +471,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.9"
   },
   "nbsphinx": {
    "execute": "never"

diff --git a/examples/open_images_evaluation/open_images_evaluation.ipynb b/examples/open_images_evaluation/open_images_evaluation.ipynb
@@ -137,6 +137,13 @@
     "pip install fiftyone"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -693,7 +700,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

diff --git a/examples/pytorch_detection_training.ipynb b/examples/pytorch_detection_training.ipynb
@@ -203,6 +203,13 @@
     "!pip install torch torchvision"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 7,

diff --git a/examples/pytorchvideo_tutorial.ipynb b/examples/pytorchvideo_tutorial.ipynb
@@ -75,7 +75,23 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install fiftyone torch torchvision"
+    "!pip install fiftyone"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you run into a `cv2` error when importing FiftyOne later on, it is an issue with OpenCV in Colab environments. [Follow these instructions to resolve it.](https://github.com/voxel51/fiftyone/issues/1494#issuecomment-1003148448)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install torch torchvision"
    ]
   },
   {
@@ -1522,7 +1538,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.10"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,