Brown bag bump to 1.3.3 (#1484)

* Add version restrictions to tensorflow for pypi

* Bump to 1.3.3

* Advise 1.3.3 pip install

* Get GUI working on Linux

* Get GUI working on Windows

* Get inference working on windows

* Restrict urllib3 range (non-blocking error in installation)

* Get training/inference working on linux minimal environment

* Put quotes around sleap install

Author: roomrys

.github/ISSUE_TEMPLATE/bug_report.md

@@ -28,7 +28,7 @@ Please include information about how you installed.
 - OS:
 <!-- [e.g. ubuntu 20.04, macOS 11.0] -->
 - Version(s):
-<!-- e.g. [SLEAP v1.3.2, python 3.8] --->
+<!-- e.g. [SLEAP v1.3.3, python 3.8] --->
 - SLEAP installation method (listed [here](https://sleap.ai/installation.html#)):
   - [ ] [Conda from package](https://sleap.ai/installation.html#conda-package)
   - [ ] [Conda from source](https://sleap.ai/installation.html#conda-from-source)

docs/conf.py

@@ -28,15 +28,15 @@
 copyright = f"2019–{date.today().year}, Talmo Lab"
 
 # The short X.Y version
-version = "1.3.2"
+version = "1.3.3"
 
 # Get the sleap version
 # with open("../sleap/version.py") as f:
 #     version_file = f.read()
 #     version = re.search("\d.+(?=['\"])", version_file).group(0)
 
 # Release should be the full branch name
-release = "v1.3.2"
+release = "v1.3.3"
 
 html_title = f"SLEAP ({release})"
 html_short_title = "SLEAP"

docs/installation.md

@@ -232,7 +232,7 @@ Although you do not need Mambaforge installed to perform a `pip install`, we rec
 3. Finally, we can perform the `pip install`:
 
    ```bash
-   pip install sleap[pypi]==1.3.2
+   pip install sleap[pypi]==1.3.3
    ```
 
    This works on **any OS except Apple silicon** and on **Google Colab**.

docs/notebooks/Data_structures.ipynb

@@ -56,7 +56,7 @@
       "source": [
         "# This should take care of all the dependencies on colab:\n",
         "!pip uninstall -qqq -y opencv-python opencv-contrib-python\n",
-        "!pip install -qqq sleap==1.3.1111\n",
+        "!pip install -qqq \"sleap[pypi]>=1.3.3\"\n",
         "\n",
         "# But to do it locally, we'd recommend the conda package (available on Windows + Linux):\n",
         "# conda create -n sleap -c sleap -c conda-forge -c nvidia sleap"

docs/notebooks/Interactive_and_realtime_inference.ipynb

@@ -60,7 +60,7 @@
       "source": [
         "# This should take care of all the dependencies on colab:\n",
         "!pip uninstall -qqq -y opencv-python opencv-contrib-python\n",
-        "!pip install -qqq sleap==1.3.1\n",
+        "!pip install -qqq \"sleap[pypi]>=1.3.3\"\n",
         "\n",
         "\n",
         "# But to do it locally, we'd recommend the conda package (available on Windows + Linux):\n",

docs/notebooks/Interactive_and_resumable_training.ipynb

@@ -62,7 +62,7 @@
       "source": [
         "# This should take care of all the dependencies on colab:\n",
         "!pip uninstall -qqq -y opencv-python opencv-contrib-python\n",
-        "!pip install -qqq sleap==1.3.1\n",
+        "!pip install -qqq \"sleap[pypi]>=1.3.3\"\n",
         "\n",
         "\n",
         "# But to do it locally, we'd recommend the conda package (available on Windows + Linux):\n",

docs/notebooks/Model_evaluation.ipynb

@@ -40,7 +40,7 @@
       ],
       "source": [
         "!pip uninstall -qqq -y opencv-python opencv-contrib-python\n",
-        "!pip install -qqq sleap==1.3.1\n",
+        "!pip install -qqq \"sleap[pypi]>=1.3.3\"\n",
         "!apt -qq install tree\n",
         "!wget -q https://storage.googleapis.com/sleap-data/reference/flies13/td_fast.210505_012601.centered_instance.n%3D1800.zip\n",
         "!unzip -qq -o -d \"td_fast.210505_012601.centered_instance.n=1800\" \"td_fast.210505_012601.centered_instance.n=1800.zip\""

docs/notebooks/Post_inference_tracking.ipynb

@@ -61,7 +61,7 @@
       "source": [
         "# This should take care of all the dependencies on colab:\n",
         "!pip uninstall -qqq -y opencv-python opencv-contrib-python\n",
-        "!pip install -qqq sleap==1.3.1\n",
+        "!pip install -qqq \"sleap[pypi]>=1.3.3\"\n",
         "\n",
         "# But to do it locally, we'd recommend the conda package (available on Windows + Linux):\n",
         "# conda create -n sleap -c sleap -c conda-forge -c nvidia sleap"

docs/notebooks/Training_and_inference_on_an_example_dataset.ipynb

@@ -62,7 +62,7 @@
    ],
    "source": [
     "!pip uninstall -qqq -y opencv-python opencv-contrib-python\n",
-    "!pip install -qqq sleap==1.3.1"
+    "!pip install -qqq \"sleap[pypi]>=1.3.3\""
    ]
   },
   {

docs/notebooks/Training_and_inference_using_Google_Drive.ipynb

@@ -59,7 +59,7 @@
    ],
    "source": [
     "!pip uninstall -qqq -y opencv-python opencv-contrib-python\n",
-    "!pip install -qqq sleap==1.3.1"
+    "!pip install -qqq \"sleap[pypi]>=1.3.3\""
    ]
   },
   {