more renamings (342c5f6e) · Commits · Elphel / image-compression

FullTester.ipynb

+7 −7

Original line number	Diff line number	Diff line
		%% Cell type:code id: tags:

		``` python
		from WorkingPyDemo import *
		from time import time
		from scipy import misc
		import imageio
		import png
		```

		%% Cell type:code id: tags:

		``` python
		scenes = file_extractor("betterimages")
		scenes = file_extractor("images")
		images = image_extractor(scenes)
		print(len(images))
		newnamesforlater = []
		file_sizes_new = []
		file_sizes_old = []
		list_dic = np.load("first_dic.npy", allow_pickle="TRUE")
		bins = [21,32,48]
		for i in range(len(images)):

		if images[i][-5:] == ".tiff":
		newname = images[i][:-5]
		else:
		newname = images[i][:-4]
		if images[i][-18:] != "Compressedlzw.tiff":
		newnamesforlater.append(newname + "_Compressed.txt")
		# with open(newname + "_Compressed.txt", 'wb') as f:
		# f.write(inletters)
		file_sizes_new.append((os.path.getsize(newname + "_Compressed.txt")))
		# file_sizes_old.append((os.path.getsize(newname + "RemovedFirstLine" + ".tif")))
		file_sizes_old.append((os.path.getsize(newname + ".tiff")))
		file_sizes_old.append((os.path.getsize(newname + "RemovedFirstLine" + ".tif")))
		# file_sizes_old.append((os.path.getsize(newname + ".tiff")))
		file_sizes_new.append(os.path.getsize("first_dic.npy"))
		print(len(newnamesforlater))
		print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
		```

		%% Output

		5
		5
		0.30596738362283216
		521
		263
		0.4041653243824837

		%% Cell type:code id: tags:

		``` python
		for i, filename in enumerate(images):
		newimage = Image.open(filename)
		newimage = np.array(newimage)
		newimage = newimage[1:]
		newimage = Image.fromarray(newimage)
		newimage.save(filename[:-5]+ "RemovedFirstLine" + ".tif")
		```

		%% Cell type:code id: tags:

		``` python
		print(file_sizes_new[214]/file_sizes_old[214])
		print(np.max(file_sizes_new)/file_sizes_old[125])
		print((np.sum([file_sizes_new[0:16]]))/np.sum(file_sizes_old[0:16]))
		print((np.sum([file_sizes_new[0:16]]) + file_sizes_new[-1])/np.sum(file_sizes_old[0:16]))
		print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
		print(np.sum(file_sizes_new[:-1])/np.sum(file_sizes_old))
		print((np.sum([file_sizes_new[0]]))/np.sum(file_sizes_old[0]))
		print((np.sum([file_sizes_new[0]])+ file_sizes_new[-1])/np.sum(file_sizes_old[0]))
		```

		%% Output

		0.3767853274384346
		0.4979190885485795
		0.3972905625173536
		0.41933998568991976
		0.40415934529931374
		0.4028230157727312
		0.39809636267662574
		0.750887133437684

		%% Cell type:code id: tags:

		``` python
		pngsizes = []
		for i, filename in enumerate(images):
		newimage = Image.open(filename)
		newimage = np.array(newimage)
		newimage = newimage[1:]
		with open(newnamesforlater[i][:-4] + ".png", 'wb') as f:
		writer = png.Writer(newimage.shape[1], newimage.shape[0], greyscale=True, bitdepth=16)
		writer.write(f, newimage)
		pngsizes.append(os.path.getsize(newnamesforlater[i][:-4] + ".png"))
		print(np.sum(pngsizes)/np.sum(file_sizes_old))
		print(0.6485158723863795)
		```

		%% Output

		0.5066909897511674
		0.6485158723863795

		%% Cell type:code id: tags:

		``` python
		pngsizes = []
		for i in range(19,20):
		newimage = Image.open(images[i])
		print(np.array(newimage))
		newimage = (np.array(newimage) - np.min(newimage)).astype(int)
		# newimage = newimage[1:]
		with open(newnamesforlater[i][:-4] + ".png", 'wb') as f:
		writer = png.Writer(newimage.shape[1], newimage.shape[0], greyscale=True, bitdepth=16)
		writer.write(f, newimage)
		pngsizes.append(os.path.getsize(newnamesforlater[i][:-4] + ".png"))
		print(np.sum(pngsizes)/file_sizes_old[19])
		```

		%% Output

		0.6493572339400003

		%% Cell type:code id: tags:

		``` python
		print(os.path.getsize("1626032610_393963_0.xcf")/os.path.getsize("images/1626032610_393963/1626032610_393963_0.tiff"))
		```

		%% Output

		0.5676821409714287

		%% Cell type:code id: tags:

		``` python
		print(os.path.getsize("1626032610_393963_0.png")/os.path.getsize("images/1626032610_393963/1626032610_393963_0.tiff"))
		```

		%% Output

		0.4855910784741866

		%% Cell type:code id: tags:

		``` python
		for i, filename in enumerate(images):
		original = Image.open(filename)
		compressed = Image.open(newnamesforlater[i][:-4] + ".png")
		original = np.array(original)[1:]
		compressed = np.array(compressed)
		if not np.allclose(original, compressed):
		print(i)
		```

		%% Cell type:code id: tags:

		``` python
		print((np.sum(pngsizes))/np.sum(file_sizes_old))
		print((np.sum(pngsizes) - np.sum(file_sizes_new))/np.sum(pngsizes))
		```

		%% Output

		0.6120739575336334
		0.33712836894440124

		%% Cell type:code id: tags:

		``` python
		```

		%% Cell type:code id: tags:

		``` python
		from PIL import TiffTags
		TiffTags.LIBTIFF_CORE.add(318)
		```

		%% Cell type:code id: tags:

		``` python
		lwz_sizes = []
		for i, filename in enumerate(images):
		newimage = Image.open(filename)
		newimage = np.array(newimage)
		newimage = newimage[1:]
		print(newimage.dtype)
		newimage = Image.fromarray(newimage)
		newimage.save(newnamesforlater[i][:-4]+ "lzw" + ".tiff", compression='tiff_lzw', tiffinfo={317: 2})

		lwz_sizes.append(os.path.getsize(newnamesforlater[i][:-4]+ "lzw" + ".tiff"))
		print(np.sum(lwz_sizes)/np.sum(file_sizes_old))
		```

		%% Output

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		---------------------------------------------------------------------------
		KeyboardInterrupt Traceback (most recent call last)
		/home/bryce/git/master/FullTester.ipynb Cell 13' in <cell line: 2>()
		<a href='vscode-notebook-cell:/home/bryce/git/master/FullTester.ipynb#ch0000011?line=5'>6</a> print(newimage.dtype)
		<a href='vscode-notebook-cell:/home/bryce/git/master/FullTester.ipynb#ch0000011?line=6'>7</a> newimage = Image.fromarray(newimage)
		----> <a href='vscode-notebook-cell:/home/bryce/git/master/FullTester.ipynb#ch0000011?line=7'>8</a> newimage.save(newnamesforlater[i][:-4]+ "lzw" + ".tiff", compression='tiff_lzw', tiffinfo={317: 2})
		<a href='vscode-notebook-cell:/home/bryce/git/master/FullTester.ipynb#ch0000011?line=9'>10</a> lwz_sizes.append(os.path.getsize(newnamesforlater[i][:-4]+ "lzw" + ".tiff"))
		<a href='vscode-notebook-cell:/home/bryce/git/master/FullTester.ipynb#ch0000011?line=10'>11</a> print(np.sum(lwz_sizes)/np.sum(file_sizes_old))
		File ~/.local/lib/python3.8/site-packages/PIL/Image.py:2300, in Image.save(self, fp, format, **params)
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/Image.py?line=2296'>2297</a> fp = builtins.open(filename, "w+b")
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/Image.py?line=2298'>2299</a> try:
		-> <a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/Image.py?line=2299'>2300</a> save_handler(self, fp, filename)
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/Image.py?line=2300'>2301</a> except Exception:
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/Image.py?line=2301'>2302</a> if open_fp:
		File ~/.local/lib/python3.8/site-packages/PIL/TiffImagePlugin.py:1814, in _save(im, fp, filename)
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/TiffImagePlugin.py?line=1810'>1811</a> e.setimage(im.im, (0, 0) + im.size)
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/TiffImagePlugin.py?line=1811'>1812</a> while True:
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/TiffImagePlugin.py?line=1812'>1813</a> # undone, change to self.decodermaxblock:
		-> <a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/TiffImagePlugin.py?line=1813'>1814</a> l, s, d = e.encode(16 * 1024)
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/TiffImagePlugin.py?line=1814'>1815</a> if not _fp:
		<a href='file:///home/bryce/.local/lib/python3.8/site-packages/PIL/TiffImagePlugin.py?line=1815'>1816</a> fp.write(d)
		KeyboardInterrupt:

		%% Cell type:code id: tags:

		``` python
		lwz_sizes = []
		for i in range(19,20):
		print(images[i])
		newimage = Image.open(images[i])
		newimage = np.array(newimage)
		newimage = newimage[1:]
		newimage = Image.fromarray(newimage)
		newimage.save(newnamesforlater[i][:-4]+ "lzw" + ".tiff", compression='tiff_lzw', tiffinfo={317: 2})

		lwz_sizes.append(os.path.getsize(newnamesforlater[i][:-4]+ "lzw" + ".tiff"))
		print(np.sum(lwz_sizes)/np.sum(file_sizes_old))
		```

		%% Output

		images/1626032610_393963/NoInterference.tiff
		0.005975943965048414

		%% Cell type:code id: tags:

		``` python
		print(np.sum(lwz_sizes)/file_sizes_old[19])
		```

		%% Output

		0.7888902959444759

		%% Cell type:code id: tags:

		``` python
		print((np.sum(lwz_sizes) - np.sum(file_sizes_new))/np.sum(lwz_sizes))
		```

		%% Output

		0.34492564114323154

		%% Cell type:code id: tags:

		``` python
		print(len(images))
		for i, item in enumerate(images):
		# print(item[-18:])
		if item[-18:] == "Compressedlzw.tiff":
		os.remove(item)
		scenes = file_extractor(folder_name)
		images = image_extractor(scenes)
		print(len(images))
		```

		%% Output

		263
		521
		263

		%% Cell type:code id: tags:

		``` python
		def all_image_extractor(scenes):
		"""
		This function gives the list of all of the valid images
		Parameters:
		scenes (list): a list of all the files in the directory
		Returns:
		images (list): a list of all the images in the directory
		"""
		image_folder = []
		for scene in scenes:
		files = os.listdir(scene)
		for file in files:
		if file[-7:] == "_6.tiff":
		continue
		else:
		image_folder.append(os.path.join(scene, file))
		return image_folder #returns a list of file paths to .tiff files in the specified directory given in file_extractor
		```

		%% Cell type:code id: tags:

		``` python
		all_files = all_image_extractor(scenes)
		print(len(all_files))
		for i, item in enumerate(all_files):
		# print(item[-18:])
		print(item[-21:])
		if item[-21:] == "RemovedFirstLine.tiff":
		os.remove(item)
		scenes = file_extractor(folder_name)
		all_files = all_image_extractor(scenes)
		print(len(all_files))
		```

		%% Output

		1442
		13_Compressedlzw.tiff
		7803_3_Compressed.png
		7803_5_Compressed.png
		7803_1_Compressed.png
		_5_Compressedlzw.tiff
		803_14_Compressed.png
		2RemovedFirstLine.tif
		7803_8_Compressed.txt
		0RemovedFirstLine.tif
		_7_Compressedlzw.tiff
		4RemovedFirstLine.tif
		10_Compressedlzw.tiff
		033496_437803_11.tiff
		_0_Compressedlzw.tiff
		7803_8_Compressed.png
		3RemovedFirstLine.tif
		033496_437803_13.tiff
		6033496_437803_18.jp4
		7803_4_Compressed.txt
		7803_3_Compressed.txt
		_2_Compressedlzw.tiff
		803_10_Compressed.png
		803_15_Compressed.txt
		5RemovedFirstLine.tif
		7803_7_Compressed.png
		_8_Compressedlzw.tiff
		803_13_Compressed.txt
		7803_9_Compressed.png
		033496_437803_15.tiff
		9RemovedFirstLine.tif
		803_13_Compressed.png
		6033496_437803_19.jp4
		7803_1_Compressed.txt
		7803_2_Compressed.txt
		7803_5_Compressed.txt
		8RemovedFirstLine.tif
		4RemovedFirstLine.tif
		803_12_Compressed.txt
		033496_437803_12.tiff
		12_Compressedlzw.tiff
		803_11_Compressed.png
		6033496_437803_2.tiff
		_1_Compressedlzw.tiff
		803_12_Compressed.png
		803_14_Compressed.txt
		7803_0_Compressed.png
		_3_Compressedlzw.tiff
		6033496_437803_17.jp4
		7RemovedFirstLine.tif
		7803_7_Compressed.txt
		_9_Compressedlzw.tiff
		6033496_437803_1.tiff
		2RemovedFirstLine.tif
		1RemovedFirstLine.tif
		7803_4_Compressed.png
		7803_2_Compressed.png
		3RemovedFirstLine.tif
		11_Compressedlzw.tiff
		033496_437803_14.tiff
		7803_0_Compressed.txt
		6033496_437803_16.jp4
		6033496_437803_4.tiff
		5RemovedFirstLine.tif
		6033496_437803_8.tiff
		1RemovedFirstLine.tif
		6033496_437803_9.tiff
		033496_437803_10.tiff
		803_11_Compressed.txt
		0RemovedFirstLine.tif
		_4_Compressedlzw.tiff
		7803_9_Compressed.txt
		803_15_Compressed.png
		6033496_437803_3.tiff
		803_10_Compressed.txt
		6033496_437803_7.tiff
		14_Compressedlzw.tiff
		6033496_437803_5.tiff
		15_Compressedlzw.tiff
		6033496_437803_0.tiff
		963_13_Compressed.png
		11_Compressedlzw.tiff
		7RemovedFirstLine.tif
		2RemovedFirstLine.tif
		032610_393963_11.tiff
		_1_Compressedlzw.tiff
		1RemovedFirstLine.tif
		032610_393963_12.tiff
		_7_Compressedlzw.tiff
		3963_4_Compressed.txt
		3963_4_Compressed.png
		3963_5_Compressed.txt
		3963_1_Compressed.txt
		5RemovedFirstLine.tif
		6032610_393963_0.tiff
		_3_Compressedlzw.tiff
		3RemovedFirstLine.tif
		3963_7_Compressed.txt
		1RemovedFirstLine.tif
		3963_8_Compressed.txt
		963_14_Compressed.png
		13_Compressedlzw.tiff
		6032610_393963_8.tiff
		3963_9_Compressed.png
		963_15_Compressed.png
		4RemovedFirstLine.tif
		3963_2_Compressed.png
		10_Compressedlzw.tiff
		963_12_Compressed.png
		_2_Compressedlzw.tiff
		3963_7_Compressed.png
		963_10_Compressed.png
		963_15_Compressed.txt
		3963_0_Compressed.txt
		3/NoInterference.tiff
		9RemovedFirstLine.tif
		6032610_393963_9.tiff
		14_Compressedlzw.tiff
		963_13_Compressed.txt
		_4_Compressedlzw.tiff
		963_14_Compressed.txt
		032610_393963_13.tiff
		3963_5_Compressed.png
		2RemovedFirstLine.tif
		963_11_Compressed.txt
		3963_1_Compressed.png
		_0_Compressedlzw.tiff
		4RemovedFirstLine.tif
		032610_393963_15.tiff
		3963_9_Compressed.txt
		963_10_Compressed.txt
		6032610_393963_2.tiff
		5RemovedFirstLine.tif
		6032610_393963_3.tiff
		963_11_Compressed.png
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		1442

		%% Cell type:code id: tags:

		``` python
		```

WorkingPyDemo.py

+3 −3

Original line number	Diff line number	Diff line
		@@ -75,7 +75,7 @@ def predict_pix(tiff_image_path, difference = True):
		A ndarray(3 X 3): system of equation
		"""
		image_obj = Image.open(tiff_image_path) #Open the image and read it as an Image object
		image_array = np.array(image_obj).astype(int) #Convert to an array, leaving out the first row because the first row is just housekeeping data
		image_array = np.array(image_obj)[1:].astype(int) #Convert to an array, leaving out the first row because the first row is just housekeeping data
		# image_array = image_array.astype(int)
		# A = np.array([[3,0,-1],[0,3,3],[1,-3,-4]]) # the matrix for system of equation
		Ainv = np.array([[0.5,-0.5,-0.5],[-0.5,1.83333333,1.5],[0.5,-1.5,-1.5]])
		@@ -523,8 +523,8 @@ if __name__ == "__main__":
		file_sizes_old = []
		# list_dic = np.load("first_dic.npy", allow_pickle="TRUE")
		bins = [21,32,48]
		np.save("second_dic.npy", list_dic)
		for i in range(len(images)):
		np.save("first_dict.npy", list_dic)
		for i in range(0,3):

		image, new_error, diff = huffman(images[i], 4, False)
		encoded_string = encoder(new_error, list_dic, diff, bins)

first_dic.npy

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first_dict.npy

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second_dic.npy→second_dict.npy

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