Loading .DS_Storedeleted 100644 → 0 −8 KiB File deleted. View file compress_start.py +25 −18 Original line number Original line Diff line number Diff line Loading @@ -67,9 +67,12 @@ if __name__ == '__main__': elif s[-6] == '3': elif s[-6] == '3': tiff3.append(os.path.join(scene, s)) tiff3.append(os.path.join(scene, s)) cameras = [tiff0, tiff1, tiff2, tiff3] diff = [] diff = [] for ii in range(len(tiff1)): i = 0 image = Image.open(tiff1[ii]) #Open the image and read it as an Image object for cam in cameras: for ii in range(len(cam)): image = Image.open(cam[ii]) #Open the image and read it as an Image object image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data ar1, ar2 = image.shape ar1, ar2 = image.shape Loading @@ -83,7 +86,11 @@ if __name__ == '__main__': else: else: surrounding.append(image[ind1+i, ind1+j]) #Add the other 8 pixels to the list surrounding.append(image[ind1+i, ind1+j]) #Add the other 8 pixels to the list diff.append(np.max(surrounding)-np.min(surrounding)) diff.append(np.max(surrounding)-np.min(surrounding)) plt.subplot(2,2,i+1) plt.hist(diff) i += 1 plt.tight_layout() plt.show() Loading images/.DS_Storedeleted 100644 → 0 −8 KiB File deleted. View file Loading
compress_start.py +25 −18 Original line number Original line Diff line number Diff line Loading @@ -67,9 +67,12 @@ if __name__ == '__main__': elif s[-6] == '3': elif s[-6] == '3': tiff3.append(os.path.join(scene, s)) tiff3.append(os.path.join(scene, s)) cameras = [tiff0, tiff1, tiff2, tiff3] diff = [] diff = [] for ii in range(len(tiff1)): i = 0 image = Image.open(tiff1[ii]) #Open the image and read it as an Image object for cam in cameras: for ii in range(len(cam)): image = Image.open(cam[ii]) #Open the image and read it as an Image object image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data ar1, ar2 = image.shape ar1, ar2 = image.shape Loading @@ -83,7 +86,11 @@ if __name__ == '__main__': else: else: surrounding.append(image[ind1+i, ind1+j]) #Add the other 8 pixels to the list surrounding.append(image[ind1+i, ind1+j]) #Add the other 8 pixels to the list diff.append(np.max(surrounding)-np.min(surrounding)) diff.append(np.max(surrounding)-np.min(surrounding)) plt.subplot(2,2,i+1) plt.hist(diff) i += 1 plt.tight_layout() plt.show() Loading