diff --git a/crop/SimData.ipynb b/crop/SimData.ipynb
index c475a8013d724c6a2cd2fb9558d8e144741063a1..3794a5b90067b71d1d0915f56787185c02c66379 100644
--- a/crop/SimData.ipynb
+++ b/crop/SimData.ipynb
@@ -47,7 +47,7 @@
     "            x = np.random.randint(0, width - beetle_width)\n",
     "            y = np.random.randint(0, height - beetle_height)\n",
     "\n",
-    "            # get random beetle rotation\n",
+    "            # get random beetle rotation (rotates about center)\n",
     "            angle = np.random.randint(0, 360)\n",
     "            beetle_img = beetle_img.rotate(angle, resample=Image.BICUBIC)\n",
     "\n",
@@ -1427,7 +1427,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAMIAAAD8CAYAAAAlkXvsAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAKeklEQVR4nO3dT4xdZR3G8e9jKUgEI0UhBIlU0g0aU2pTMRCiiX9qN9WFCS60C5ISA4kuXFRJtC4h0YUhkpRAqIlCSJTIBrUhGDZGWrGWllLaKtFC08YYA25U6s/FeSe9aafl/pk5c+/M95O8OXfeOffOmZM+vWdOO++TqkJa6d611AcgTQODIGEQJMAgSIBBkACDIAFLEIQkm5McSXIsyY6+v740n/T57whJVgGvAp8FTgB7ga9U1cu9HYQ0j77fETYBx6rqz1X1H+AJYGvPxyCd55Kev971wN8GPj4BfOLcnZJsB7a3Dz/ew3FpGaqqDLtv30GY78DOuzarql3ALoAk/h8QLbq+L41OADcMfPxB4I2ej0E6T99B2AusS7I2yaXAncDTPR+DdJ5eL42q6u0k9wK/BlYBj1bVoT6PQZpPr7dPx+HPCBrXKD8s+y/LEgZBAgyCBBgECTAIEmAQJMAgSIBBkACDIAEGQQIMggQYBAkwCBJgECTAIEiAQZAAgyABBkECDIIEGAQJMAgSYBAkwCBIgEGQAIMgARMGIclrSV5Ksj/Jvja3JsmeJEfb9qqB/b/dmnKOJPn8pAcvLZSFeEf4dFWtr6qN7eMdwLNVtQ54tn1MkpvpFv39CLAZ+HFr0JGW3GJcGm0FdrfHu4EvDsw/UVX/rqq/AMfoGnSkJTdpEAr4TZI/tJYbgGur6iRA217T5udry7l+vhdNsj3JvrnLLWmxTbos/G1V9UaSa4A9SV65yL5DteWAjTnq30TvCFX1RtueBp6iu9Q5leQ6gLY93Xa3LUdTa+wgJHlPkivnHgOfAw7SNeBsa7ttA37ZHj8N3JnksiRrgXXAC+N+fWkhTXJpdC3wVJK51/lZVf0qyV7gySR3AX8FvgxQVYeSPAm8DLwN3FNVZyY6emmB2JijZcvGHGlEBkHCIEiAQZAAgyABBkECDIIEGAQJMAgSYBAkwCBIgEGQAIMgAQZBAgyCBBgECTAIEmAQJMAgSIBBkACDIAEGQQIMggQYBAkYIghJHk1yOsnBgbmRy0CSfLyVihxL8qO0JfKkaTDMO8JjdMUeg8YpA3kI2E635um6eV5TWjLvGISqeh74xznTI5WBtFWx31tVv6tujcmfDDxHWnLj/owwahnI9e3xufPSVJi0KORcFyoDGbokBLrGHLrLKKkX474jjFoGcqI9Pnd+XlW1q6o2DhQUSotq3CCMVAbSLp/eSnJru1v0tYHnSEuvqi46gMeBk8B/6f5mvwu4mu5u0dG2XTOw/33AceAI8IWB+Y10jTrHgQdp3QxDfP1yOMYZw/z5mhsWhWjZsihEGpFBkDAIEmAQJMAgSIBBkACDIAEGQQIMggQYBAkwCBJgECTAIEiAQZAAgyABBkECDIIEGAQJMAgSYBAkwCBIgEGQAIMgAQZBAgyCBIzfmLMzyetJ9rexZeBzNuZo9gyx9ugdwAbg4MDcTuBb8+x7M/An4DJgLd06p6va514APkm3RPwzDKyL6tqnjsUYo6x9Om5jzoVsxcYczaBJfka4N8mBduk0Vya4II05SbYn2Zdk3wTHJw1t3CA8BNwErKdbMv4HbX5BGnMsClHfxgpCVZ2qqjNV9T/gYWBT+9SCNOZIfRsrCHO1Uc2X6ApAwMYczah3LBNM8jjwKeD9SU4A3wM+lWQ93eXNa8DdAFV1KMmTwMvA28A9VXWmvdTX6TqbL6e7a/TMAn4f0kRszNGyZWOONCKDIGEQJMAgSIBBkACDIAEGQQIMggQYBAkwCBJgECTAIEiAQZAAgyABBkECDIIEGAQJMAgSYBAkwCBIgEGQAIMgAQZBAgyCBBgECRiuMeeGJM8lOZzkUJJvtPk1SfYkOdq2Vw08x9YczZYhGmuuAza0x1cCr9I14zwA7GjzO4D7F6M1hyloXnHM5ljoxpyTVfVie/wWcJiu5GMrsLvttpuzDThbsTVHM2aknxGS3AjcAvweuLYt907bXtN2m7g1x8Yc9e0dl4Wfk+QK4OfAN6vqzYtc3k/cmlNVu4Bd7evOu4+0kIZ6R0iymi4EP62qX7TpU3OFIW17us3bmqOZM8xdowCPAIer6ocDn3oa2NYeb+NsA46tOZo9Q9y1uZ3uEuYAsL+NLcDVwLPA0bZdM/Cc++juFh1h4M4QsJGuZuo48CCtqMS7Ro7FGKPcNbIxR8uWjTnSiAyChEGQAIMgAQZBAgyCBBgECTAIEmAQJMAgSIBBkACDIAEGQQIMggQYBAkwCBJgECTAIEiAQZAAgyABBkECDIIEGAQJMAgSMFlRyM4kryfZ38aWgedYFKLZMkFRyE7gW/Psb1GIYypGX0UhF7IVi0I0YyYpCgG4N8mBJI8OdKhZFKKZM3QQzi0KAR4CbgLWAyeBH8ztOs/T6yLz509W7aqqjVW1cdjjkyYxdlFIVZ2qqjNV9T/gYWBT292iEM2csYtC5tpymi/R9R6ARSGaQcN0qN0GfBV4Kcn+Nvcd4CtJ1tNd3rwG3A1QVYeSPAm8DLwN3FNVZ9rzvg48BlxOd9fomYX4JqRJWRSiZcuiEGlEBkHCIEiAQZAAgyABBkECDIIEGAQJMAgSYBAkwCBIgEGQAIMgAQZBAgyCBBgECTAIEmAQJMAgSIBBkACDIAEGQQIMggQYBAkwCBIw3Nqn707yQpI/tcac77f5NUn2JDnatlcNPMfGHM2WIRprAlzRHq+m60a4FXgA2NHmdwD325jjmKax0I05VVX/ah+ubqPomnF2t/ndnG2/2YqNOZoxw/YjrGorYZ8G9lTV74Fr21LvtO01bXcbczRzhgpCKwRZT1fusSnJRy+yu405mjkj3TWqqn8CvwU2A6fmykLa9nTbzcYczZxh7hp9IMn72uPLgc8Ar9A142xru23jbPuNjTmaPUPctfkY8EfgAF091Hfb/NXAs8DRtl0z8Jz76O4WHWHgzhCwsb3GceBBWlGJd40cizFGuWtkY46WLRtzpBEZBAmDIAEGQQIMggQYBAkwCBJgECTAIEiAQZAAuGSpD2AI/6L7P0uC9wN/X+qDmBLvdC4+NMqLzUIQjvh7CZ0k+zwXnYU+F14aSRgECZiNIOxa6gOYIp6Lsxb0XEz97yNIfZiFdwRp0RkEiSkOQpLNbcnIY0l2LPXxLIYkjyY5neTgwNyKXEozyQ1JnktyuC0t+o0238/5GOUXnPsawCq6X/D/MHAp3RKSNy/1cS3C93kHsAE4ODDXy1Ka0zaA64AN7fGVwKvte+7lfEzrO8Im4FhV/bmq/gM8QbeU5LJSVc8D/zhneisrcCnNqjpZVS+2x28Bh+lWQuzlfExrEC60bORKsGhLac6KJDcCt9AtON3L+ZjWIAy9POQKMvFSmrMgyRXAz4FvVtWbF9t1nrmxz8e0BuFCy0auBCt2Kc0kq+lC8NOq+kWb7uV8TGsQ9gLrkqxNcilwJ91SkivBilxKsx37I8DhqvrhwKf6OR9LfbfgIncRttDdOTgO3LfUx7NI3+PjwEngv3R/k91FT0tpTtsAbqe7hDkA7G9jS1/nw/9iITG9l0ZSrwyChEGQAIMgAQZBAgyCBBgECYD/A79FAQx8InyaAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1439,7 +1439,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1508,7 +1508,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.9"
   },
   "vscode": {
    "interpreter": {
diff --git a/crop/autocrop.py b/crop/autocrop.py
index 2e784136671fd0d6ff2f86416ea17aaffab30f7c..aaa4a57b6fa01534ba88677f32ce5c1c6ad94eb6 100644
--- a/crop/autocrop.py
+++ b/crop/autocrop.py
@@ -100,14 +100,14 @@ def crop(imgpath, destpath, sensitivity=110, debug=False):
         Image.fromarray(polygon_rgb).save(destpath+"polygon.jpg")
 
 if len(sys.argv) < 3 or len(sys.argv) > 5 :
-    sys.print("Format: python autocrop.py imgpath destpath [sensitivity=110] [debug=False]")
+    sys.print("Format: python3 autocrop.py imgpath destpath [sensitivity=110] [debug=False]")
     exit(1)
 
 if len(sys.argv) == 3:
     crop(sys.argv[1], sys.argv[2])
 elif len(sys.argv) == 5:
-    crop(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4])
+    crop(sys.argv[1], sys.argv[2], int(sys.argv[3]), sys.argv[4])
 elif type(sys.argv[3]) is int:
-    crop(sys.argv[1], sys.argv[2], sensitivity=sys.argv[3])
+    crop(sys.argv[1], sys.argv[2], sensitivity=int(sys.argv[3]))
 else:
     crop(sys.argv[1], sys.argv[2], debug=sys.argv[3])
\ No newline at end of file
diff --git a/crop/crop.ipynb b/crop/crop.ipynb
index 936bd944eb28123f1c66debdd6cf1d632d85bc17..6275a779fcb52b680665d2370c82d5ebce88b35f 100644
Binary files a/crop/crop.ipynb and b/crop/crop.ipynb differ
diff --git a/crop/cropped_imgs/F16 wide view_25August2022_cropped.jpg b/crop/cropped_imgs/F16 wide view_25August2022_cropped.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..f20c06e4d8fe1231049fdd4d5235d13223fff862
Binary files /dev/null and b/crop/cropped_imgs/F16 wide view_25August2022_cropped.jpg differ