updated packages, reformatting bits of the notebooks

README.md

@@ -1,3 +1,6 @@
-computer vision testing
+computer vision
 ==================
 
+Jupyter scratchpad for playing with computer vision
+
+(Using [MSRCv2 Set](https://www.microsoft.com/en-us/research/project/image-understanding/))

descriptors.ipynb

@@ -1,32 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<h2><center>average RGB</center></h2>"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}

numpy.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<h3><center>arrays</center></h3>"
+    "# arrays"
    ]
   },
   {
@@ -115,7 +115,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<h3><center>inserting</center></h3>"
+    "# inserting"
    ]
   },
   {
@@ -537,4 +537,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

requirements.txt

@@ -1,55 +1,78 @@
-attrs==19.3.0
-backcall==0.1.0
-bleach==3.1.4
+anyio==2.0.2
+argon2-cffi==20.1.0
+async-generator==1.10
+attrs==20.3.0
+Babel==2.9.0
+backcall==0.2.0
+bleach==3.2.1
+certifi==2020.12.5
+cffi==1.14.4
+chardet==4.0.0
+colorama==0.4.4
 cycler==0.10.0
-decorator==4.4.1
+decorator==4.4.2
 defusedxml==0.6.0
 entrypoints==0.3
-importlib-metadata==1.2.0
-ipykernel==5.1.3
-ipython==7.10.1
+idna==2.10
+importlib-metadata==3.3.0
+ipykernel==5.4.2
+ipython==7.19.0
 ipython-genutils==0.2.0
-jedi==0.15.1
-Jinja2==2.10.3
-joblib==0.14.0
-json5==0.8.5
+jedi==0.18.0
+Jinja2==2.11.2
+joblib==1.0.0
+json5==0.9.5
 jsonschema==3.2.0
-jupyter-client==5.3.4
-jupyter-core==4.6.1
-jupyterlab==1.2.3
-jupyterlab-server==1.0.6
-kiwisolver==1.1.0
+jupyter-client==6.1.7
+jupyter-core==4.7.0
+jupyter-server==1.1.3
+jupyterlab==3.0.0
+jupyterlab-pygments==0.1.2
+jupyterlab-server==2.0.0
+kiwisolver==1.3.1
 MarkupSafe==1.1.1
-matplotlib==3.1.2
+matplotlib==3.3.3
 mistune==0.8.4
-more-itertools==8.0.2
-nbconvert==5.6.1
-nbformat==4.4.0
-notebook==6.1.5
-numpy==1.17.4
-opencv-python==4.1.2.30
-pandas==0.25.3
-pandocfilters==1.4.2
-parso==0.5.1
-pexpect==4.7.0
+more-itertools==8.6.0
+nbclassic==0.2.5
+nbclient==0.5.1
+nbconvert==6.0.7
+nbformat==5.0.8
+nest-asyncio==1.4.3
+notebook==6.1.6
+numpy==1.19.4
+opencv-python==4.4.0.46
+packaging==20.8
+pandas==1.2.0
+pandocfilters==1.4.3
+parso==0.8.1
+pexpect==4.8.0
 pickleshare==0.7.5
-prometheus-client==0.7.1
-prompt-toolkit==3.0.2
-ptyprocess==0.6.0
-Pygments==2.5.2
-pyparsing==2.4.5
-pyrsistent==0.15.6
+Pillow==8.0.1
+prometheus-client==0.9.0
+prompt-toolkit==3.0.8
+ptyprocess==0.7.0
+pycparser==2.20
+Pygments==2.7.3
+pyparsing==2.4.7
+pyrsistent==0.17.3
 python-dateutil==2.8.1
-pytz==2019.3
-pyzmq==18.1.1
-scikit-learn==0.22
-scipy==1.3.3
+pytz==2020.5
+pywin32==300
+pywinpty==0.5.7
+pyzmq==20.0.0
+requests==2.25.1
+scikit-learn==0.24.0
+scipy==1.6.0
 Send2Trash==1.5.0
-six==1.13.0
-terminado==0.8.3
+six==1.15.0
+sniffio==1.2.0
+terminado==0.9.1
 testpath==0.4.4
-tornado==6.0.3
-traitlets==4.3.3
-wcwidth==0.1.7
+threadpoolctl==2.1.0
+tornado==6.1
+traitlets==5.0.5
+urllib3==1.26.2
+wcwidth==0.2.5
 webencodings==0.5.1
-zipp==0.6.0
+zipp==3.4.0

vision.ipynb

@@ -1,10 +1,26 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2\n",
+    "import numpy as np\n",
+    "from matplotlib import pyplot as plt\n",
+    "\n",
+    "import vision.io\n",
+    "from vision.visualsearch import run_query\n",
+    "from vision.descriptor.avg_RGB import extract_average_rgb\n",
+    "import vision.descriptor.spatial as spatial"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### vision"
+    "# vision"
    ]
   },
   {
@@ -36,12 +52,6 @@
     }
    ],
    "source": [
-    "from matplotlib import pyplot as plt\n",
-    "\n",
-    "import vision.io\n",
-    "from vision.descriptor.avg_RGB import extract_average_rgb\n",
-    "from vision.visualsearch import run_query\n",
-    "\n",
     "x = vision.io.load_msrc('msrc/Images')\n",
     "extract_average_rgb(images=x)\n",
     "results = run_query(x)\n",
@@ -104,12 +114,6 @@
     }
    ],
    "source": [
-    "import cv2\n",
-    "import numpy as np\n",
-    "from matplotlib import pyplot as plt\n",
-    "\n",
-    "import vision.descriptor.spatial as spatial\n",
-    "\n",
     "img = cv2.imread('sheep.png')[:,:,::-1]\n",
     "\n",
     "segments = spatial.grid_image(2, 2, img)\n",
@@ -123,12 +127,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import cv2\n",
-    "import numpy as np\n",
-    "from matplotlib import pyplot as plt\n",
-    "\n",
-    "import vision.descriptor.spatial as spatial\n",
-    "\n",
     "img = cv2.imread('sheep.png')[:,:,::-1]\n",
     "\n",
     "segments = spatial.extract_spatial_average_rgb(2, 2, img)"
@@ -156,4 +154,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}