crop/README.md

+The different files and directories contain the images and code necessary to construct the western corn rootworm (WCR) simulated dataset using the images given in the [Roboflow dataset](https://universe.roboflow.com/wcr-beetle-detection/wcr-beetle-traps). The content of each file is summarized below.
+
+- `beetles`: Directory of cropped WCR beetles taken from the cropped traps
+- `cropped_imgs`: Directory of cropped traps, containing both WCR beetles and insects
+- `imgs`: Directory of uncropped traps, containing both WCR beetles and insects
+- `non_beetles`: Directory of cropped various insects, not including WCR beetles, taken from the cropped traps
+- `SimData.ipynb`: Constructs the simulated dataset using the cropped traps, beetles, and insects in the various folders
+- `autocrop.py`: Performs cropping of an image using Otsu's Method, cropping only one image. To crop an image, setup the required environment and run the following command:
+```
+python3 autocrop.py imgpath destpath [sensitivity=110] [debug=False]
+```
+
+The available options are:
+```
+  imgpath               path to image file
+  destpath		path to destination file, including new filename
+  sensitivity		sensitivity of foreground vs background
+  debug		        saves additional images to folder (polygon and mask of foreground pixels)
+```
+*Note*: To perform autocropping, delete lines 111 and 133. These were implemented to be able to be used in `transfer.py`. 
+- `autocrop_folder.py`: Performs cropping of an image using Otsu's Method, cropping a whole folder. To crop a folder, setup the required environment and run the following command:
+```
+python3 autocrop_folder.py imgfolder destfolder [sensitivity=110] [debug=False]
+```
+The available options are:
+```
+  imgfolder             path to the folder of images
+  destfolder		path to destination folder
+  sensitivity		sensitivity of foreground vs background
+  debug		        saves additional images to folder (polygon and mask of foreground pixels)  
+```
+*Note*: When one file fails to autcrop due to needing a higher or lower sensitivity, the whole program stops. In this case, it is better to move it out of the folder and correctly crop it with a new sensitivity using `autocrop.py` and `debug=True`. Then, you can use `autocrop_folder.py` again.

crop/autocrop_folder.py

@@ -101,7 +101,7 @@ 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 imgfolder/ destpath/ [sensitivity=110] [debug=False]")
+    sys.print("Format: python3 autocrop_folder.py imgfolder destfolder [sensitivity=110] [debug=False]")
     exit(1)
 for folder_name in glob.glob(sys.argv[1] + "*"):
     if len(sys.argv) == 3: