I observed that you in your illustration of this repo you perhaps intentionally only made specific examples for just a singular image.
Please can you suggest a way of iterating through a folder for feature extraction? I tried the code below but its returning just one output.
`%matplotlib inline
import matplotlib.pyplot as plt
import os
image_folder = "/content/tif"
for images in os.listdir(image_folder):
collection_regions = image.regions()
areas = collection_regions.prop_values('area')
plt.plot(areas)
plt.ylabel('region area (px^2)')`
I observed that you in your illustration of this repo you perhaps intentionally only made specific examples for just a singular image. Please can you suggest a way of iterating through a folder for feature extraction? I tried the code below but its returning just one output.
`%matplotlib inline import matplotlib.pyplot as plt import os image_folder = "/content/tif"
for images in os.listdir(image_folder): collection_regions = image.regions() areas = collection_regions.prop_values('area') plt.plot(areas) plt.ylabel('region area (px^2)')`