initial files

.gitignore

+__pycache__
+/.project
+/.pydevproject
+attic
+*.log
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compress_start.py

+'''
+Created on Jan 11, 2022
+
+@author: nathanielc
+
+python file located in the Image Compression project
+folder under nathanielc user. This python file is for
+exploring possible image compression techniques and is by 
+no means a final product. Goal is to learn how to download 
+images and extract important statistics from them.
+'''
+
+import numpy as np
+from matplotlib import pyplot as plt
+
+import os
+import sys
+from PIL import Image
+
+def file_extractor(dirname="/media/elphel/SSD3-4GB/lwir16-proc/captures/teasdale/scenes"):
+    files = os.listdir(dirname)
+    scenes = []
+    for file in files:
+        scenes.append(os.path.join(dirname, file))
+    return scenes
+
+def image_extractor(scenes):
+    image_folder = []
+    for scene in scenes:
+        files = os.listdir(scene)
+        for file in files:
+            image_folder.append(os.path.join(scene, file))
+    images = []
+    for folder in image_folder:
+        ims = os.listdir(folder)
+        for im in ims:
+            if im[-4:] == ".jp4" or im[-7:] == "_6.tiff":
+                continue
+            else:
+                images.append(os.path.join(folder, im))
+    return images #returns a list of file paths to .tiff files in the specified directory given in file_extractor
+
+if __name__ == '__main__':
+    scene_names = file_extractor()
+    images = image_extractor(scene_names)
+    im = Image.open(images[0])
+    imarray = np.array(im)
+    randos = np.random.randint(0,len(images), 10)
+    i, j = np.random.randint(0,imarray.shape[0]), np.random.randint(0,imarray.shape[1])
+    image_array = []
+    for r in randos:
+        image_array.append(np.array(Image.open(images[r])))
+    indices = [val[i][j] for val in image_array]
+    
+
+
+    
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