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image-compression
Commit 3774fe5d authored by Bryce Hepner's avatar Bryce Hepner
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Showing with 79 additions and 48 deletions
MatrixNowString.txt
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SameTableEncoder.ipynb
View file @ 3774fe5d
......@@ -20,7 +20,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 117,
"metadata": {},
"outputs": [],
"source": [
......@@ -72,7 +72,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 118,
"metadata": {},
"outputs": [],
"source": [
......@@ -147,7 +147,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 119,
"metadata": {},
"outputs": [],
"source": [
......@@ -208,7 +208,7 @@
},
{
"cell_type": "code",
"execution_count": 69,
"execution_count": 129,
"metadata": {},
"outputs": [],
"source": [
......@@ -245,8 +245,7 @@
"\n",
" # sort the difference and create the bins\n",
" sorted_diff = np.sort(diff.copy())\n",
" bins = [sorted_diff[i*data_points_per_bin] for i in range(1,num_bins)]\n",
" \n",
" bins = [12,60,180]\n",
" # get the boundary \n",
" boundary = np.hstack((image_array[0,:],image_array[-1,:],image_array[1:-1,0],image_array[1:-1,-1]))\n",
" \n",
......@@ -259,7 +258,6 @@
" # huffman encode the boundary\n",
" for j in boundary:\n",
" list_of_all_vals[0].append(str(j))\n",
"\n",
" \n",
" # create a list of huffman table\n",
" n = len(bins)\n",
......@@ -311,7 +309,7 @@
},
{
"cell_type": "code",
"execution_count": 70,
"execution_count": 130,
"metadata": {},
"outputs": [],
"source": [
......@@ -333,7 +331,6 @@
" predict ndarray (325380,): the list of predicted values\n",
" bins list (num_bins - 1,): a list of threshold to cut the bins\n",
" A ndarray (3 X 3): system of equation\n",
" \n",
" \"\"\"\n",
" # get the image_array, etc\n",
" image_array, predict, diff, error, A = predict_pix(tiff_image_path, difference)\n",
......@@ -343,8 +340,8 @@
"\n",
" # sort the difference and create the bins\n",
" sorted_diff = np.sort(diff.copy())\n",
" bins = [sorted_diff[i*data_points_per_bin] for i in range(1,num_bins)]\n",
" \n",
" # bins = [sorted_diff[i*data_points_per_bin] for i in range(1,num_bins)]\n",
" bins = [12,60,180]\n",
" # get the boundary \n",
" boundary = np.hstack((image_array[0,:],image_array[-1,:],image_array[1:-1,0],image_array[1:-1,-1]))\n",
" \n",
......@@ -420,7 +417,7 @@
},
{
"cell_type": "code",
"execution_count": 71,
"execution_count": 131,
"metadata": {},
"outputs": [],
"source": [
......@@ -459,7 +456,7 @@
},
{
"cell_type": "code",
"execution_count": 72,
"execution_count": 132,
"metadata": {},
"outputs": [],
"source": [
......@@ -469,12 +466,15 @@
" while v:\n",
" b.append(v & 0xff)\n",
" v >>= 8\n",
" return bytes(b[::-1])"
" return bytes(b[::-1])\n",
"def bytes_to_bitstring(s):\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 79,
"execution_count": 133,
"metadata": {},
"outputs": [],
"source": [
......@@ -563,63 +563,55 @@
},
{
"cell_type": "code",
"execution_count": 80,
"execution_count": 158,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"True\n",
"5\n",
"1\n",
"True\n",
"5\n",
"2\n",
"True\n",
"5\n",
"3\n",
"True\n",
"5\n",
"4\n",
"True\n",
"5\n"
]
}
],
"outputs": [],
"source": [
"def read_from_file(filename):\n",
" with open(filename, 'r', encoding=\"ISO-8859-1\") as file:\n",
" return file.read()"
]
},
{
"cell_type": "code",
"execution_count": 147,
"metadata": {},
"outputs": [],
"source": [
"scenes = file_extractor()\n",
"images = image_extractor(scenes)\n",
"oglist_dic, ogbins = make_dictionary(images[:10], 4, False)\n",
"file_size_ratios = []\n",
"for i in range(5):\n",
" print(i)\n",
"np.save(\"first_dic.npy\", oglist_dic)\n",
"for i in range(10):\n",
" list_dic, image, new_error, diff, bound, predict, bins, A = huffman(images[i], 4, False)\n",
" encoded_string = encoder(new_error, oglist_dic, diff, bound, bins)\n",
" encoded_string = encoder(new_error, oglist_dic, diff, bound, ogbins)\n",
" # reconstruct_image = decoder(A, encoded_string, list_dic, bins, False)\n",
" # print(np.allclose(image, reconstruct_image))\n",
" inletters = bitstring_to_bytes(encoded_string)\n",
"\n",
" reconstruct_image = decoder(A, encoded_string, oglist_dic, bins, False)\n",
" reconstruct_image = decoder(A, encoded_string, oglist_dic, ogbins, False)\n",
" print(np.allclose(image, reconstruct_image))\n",
" print(len(list_dic))\n",
"\n",
" with open(\"MatrixNowString.txt\", 'w') as f:\n",
" # print(len(list_dic))\n",
" if images[0][:-5] == \".tiff\":\n",
" newname = images[0][:-5]\n",
" else:\n",
" newname = images[0][:-4]\n",
" with open(newname + \"_Compressed.txt\", 'w') as f:\n",
" f.write(inletters.decode(\"ISO-8859-1\"))\n",
" file_size_ratios.append((os.path.getsize('MatrixNowString.txt'))/os.path.getsize('images/1626032610_393963/1626032610_393963_0.tiff'))"
]
},
{
"cell_type": "code",
"execution_count": 81,
"execution_count": 112,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.6032547318383986\n"
"0.603203605615972\n"
]
}
],
......@@ -676,6 +668,45 @@
"print(diff)"
]
},
{
"cell_type": "code",
"execution_count": 159,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"M\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/home/bryce/git/master/SameTableEncoder.ipynb Cell 4'\u001b[0m in \u001b[0;36mdecode_string\u001b[0;34m(huffman_string, the_keys, the_values)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000003?line=49'>50</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m---> <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000003?line=50'>51</a>\u001b[0m \u001b[39mreturn\u001b[39;00m (\u001b[39mint\u001b[39m(the_keys[the_values\u001b[39m.\u001b[39;49mindex(huffman_string[:i\u001b[39m+\u001b[39;49m\u001b[39m1\u001b[39;49m])]),huffman_string[i\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m:])\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000003?line=51'>52</a>\u001b[0m \u001b[39mexcept\u001b[39;00m:\n",
"\u001b[0;31mValueError\u001b[0m: 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"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/home/bryce/git/master/SameTableEncoder.ipynb Cell 17'\u001b[0m in \u001b[0;36m<cell line: 5>\u001b[0;34m()\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000015?line=2'>3</a>\u001b[0m encoded_string \u001b[39m=\u001b[39m read_from_file(images[\u001b[39m0\u001b[39m])\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000015?line=3'>4</a>\u001b[0m \u001b[39mprint\u001b[39m(encoded_string[\u001b[39m0\u001b[39m])\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000015?line=4'>5</a>\u001b[0m reconstruct_image \u001b[39m=\u001b[39m decoder(A, encoded_string, oglist_dic, ogbins, \u001b[39mFalse\u001b[39;49;00m)\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000015?line=5'>6</a>\u001b[0m \u001b[39mprint\u001b[39m(np\u001b[39m.\u001b[39mallclose(image, reconstruct_image))\n",
"\u001b[1;32m/home/bryce/git/master/SameTableEncoder.ipynb Cell 9'\u001b[0m in \u001b[0;36mdecoder\u001b[0;34m(A, encoded_string, list_dic, bins, use_diff)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000017?line=35'>36</a>\u001b[0m \u001b[39mfor\u001b[39;00m j \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(decode_matrix\u001b[39m.\u001b[39mshape[\u001b[39m1\u001b[39m]):\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000017?line=36'>37</a>\u001b[0m \u001b[39m# if it's the very first pixel on the image\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000017?line=37'>38</a>\u001b[0m \u001b[39mif\u001b[39;00m i \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m \u001b[39mand\u001b[39;00m j \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m---> <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000017?line=38'>39</a>\u001b[0m colorvalue, encoded_string \u001b[39m=\u001b[39m decode_string(encoded_string,the_keys\u001b[39m=\u001b[39;49mthe_keys0, the_values\u001b[39m=\u001b[39;49mthe_values0)\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000017?line=39'>40</a>\u001b[0m decode_matrix[i][j] \u001b[39m=\u001b[39m colorvalue\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000017?line=41'>42</a>\u001b[0m \u001b[39m# if it's on the boundary (any of the 4 edges)\u001b[39;00m\n",
"\u001b[1;32m/home/bryce/git/master/SameTableEncoder.ipynb Cell 4'\u001b[0m in \u001b[0;36mdecode_string\u001b[0;34m(huffman_string, the_keys, the_values)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000003?line=48'>49</a>\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39mlen\u001b[39m(huffman_string)):\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000003?line=49'>50</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m---> <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000003?line=50'>51</a>\u001b[0m \u001b[39mreturn\u001b[39;00m (\u001b[39mint\u001b[39m(the_keys[the_values\u001b[39m.\u001b[39;49mindex(huffman_string[:i\u001b[39m+\u001b[39;49m\u001b[39m1\u001b[39;49m])]),huffman_string[i\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m:])\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000003?line=51'>52</a>\u001b[0m \u001b[39mexcept\u001b[39;00m:\n\u001b[1;32m <a href='vscode-notebook-cell:/home/bryce/git/master/SameTableEncoder.ipynb#ch0000003?line=52'>53</a>\u001b[0m \u001b[39mpass\u001b[39;00m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"oglist_dic = np.load(\"first_dic.npy\", allow_pickle=\"TRUE\")\n",
"ogbins = [12,60,180]\n",
"encoded_string = read_from_file(images[0])\n",
"print(encoded_string)\n",
"reconstruct_image = decoder(A, encoded_string, oglist_dic, ogbins, False)\n",
"print(np.allclose(image, reconstruct_image))"
]
},
{
"cell_type": "code",
"execution_count": null,
......
first_dic.npy 0 → 100644
View file @ 3774fe5d
File added
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