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image-compression
Commit c14dbb54 authored by Bryce Hepner's avatar Bryce Hepner
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that was scary

parent 3774fe5d
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Showing with 97 additions and 73 deletions
SameTableEncoder.ipynb
View file @ c14dbb54
...@@ -20,7 +20,7 @@ ...@@ -20,7 +20,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 117, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -72,7 +72,7 @@ ...@@ -72,7 +72,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 118, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -142,12 +142,12 @@ ...@@ -142,12 +142,12 @@
" # calculate the error\n", " # calculate the error\n",
" error = np.ravel(image_array[1:-1,1:-1])-predict\n", " error = np.ravel(image_array[1:-1,1:-1])-predict\n",
" \n", " \n",
" return image_array, predict, diff, error, A" " return image_array, predict, diff, error"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 119, "execution_count": 4,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -208,7 +208,7 @@ ...@@ -208,7 +208,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 129, "execution_count": 5,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -238,7 +238,7 @@ ...@@ -238,7 +238,7 @@
" list_of_all_vals.append([])\n", " list_of_all_vals.append([])\n",
" for i, tiff_image_path in enumerate(tiff_image_path_list):\n", " for i, tiff_image_path in enumerate(tiff_image_path_list):\n",
" # get the image_array, etc\n", " # get the image_array, etc\n",
" image_array, predict, diff, error, A = predict_pix(tiff_image_path, difference)\n", " image_array, predict, diff, error= predict_pix(tiff_image_path, difference)\n",
" \n", " \n",
" # calculate the number of points that will go in each bin\n", " # calculate the number of points that will go in each bin\n",
" data_points_per_bin = diff.size // num_bins\n", " data_points_per_bin = diff.size // num_bins\n",
...@@ -309,7 +309,7 @@ ...@@ -309,7 +309,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 130, "execution_count": 6,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -333,7 +333,7 @@ ...@@ -333,7 +333,7 @@
" A ndarray (3 X 3): system of equation\n", " A ndarray (3 X 3): system of equation\n",
" \"\"\"\n", " \"\"\"\n",
" # get the image_array, etc\n", " # get the image_array, etc\n",
" image_array, predict, diff, error, A = predict_pix(tiff_image_path, difference)\n", " image_array, predict, diff, error= predict_pix(tiff_image_path, difference)\n",
" \n", " \n",
" # calculate the number of points that will go in each bin\n", " # calculate the number of points that will go in each bin\n",
" data_points_per_bin = diff.size // num_bins\n", " data_points_per_bin = diff.size // num_bins\n",
...@@ -411,13 +411,13 @@ ...@@ -411,13 +411,13 @@
" diff = np.reshape(diff,(510,638))\n", " diff = np.reshape(diff,(510,638))\n",
" # return the huffman dictionary\n", " # return the huffman dictionary\n",
"\n", "\n",
" return huffman_encoding_list, image_array, new_error, diff, boundary, predict, bins, A\n", " return huffman_encoding_list, image_array, new_error, diff, boundary, predict, bins\n",
" \n" " \n"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 131, "execution_count": 7,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -456,29 +456,37 @@ ...@@ -456,29 +456,37 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 132, "execution_count": 15,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"def bitstring_to_bytes(s):\n", "# def bitstring_to_bytes(s):\n",
" v = int(s, 2)\n", "# v = int(s, 2)\n",
" b = bytearray()\n", "# b = bytearray()\n",
" while v:\n", "# while v:\n",
" b.append(v & 0xff)\n", "# b.append(v & 0xff)\n",
" v >>= 8\n", "# v >>= 8\n",
" return bytes(b[::-1])\n", "# return bytes(b[::-1])\n",
"def bytes_to_bitstring(s):\n", "def bitstring_to_bytes(input_string):\n",
" \n", " int_array = []\n",
" " " length_of_string = len(input_string)\n",
" while length_of_string >= 8:\n",
" int_array.append(int(input_string[:8],2))\n",
" input_string = input_string[8:]\n",
" length_of_string = len(input_string)\n",
" if length_of_string > 0:\n",
" int_array.append(int(input_string,2))\n",
" print(int_array[-12:])\n",
" return bytes(int_array)\n"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 133, "execution_count": 16,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"def decoder(A, encoded_string, list_dic, bins, use_diff):\n", "def decoder(encoded_string, list_dic, bins, use_diff):\n",
" \"\"\"\n", " \"\"\"\n",
" This function decodes the encoded_matrix.\n", " This function decodes the encoded_matrix.\n",
" Input:\n", " Input:\n",
...@@ -490,6 +498,7 @@ ...@@ -490,6 +498,7 @@
" Return:\n", " Return:\n",
" decode_matrix (512, 640): decoded matrix\n", " decode_matrix (512, 640): decoded matrix\n",
" \"\"\"\n", " \"\"\"\n",
" A = np.array([[3,0,-1],[0,3,3],[1,-3,-4]]) # the matrix for system of equation\n",
" # change the dictionary back to list\n", " # change the dictionary back to list\n",
" # !!!!!WARNING!!!! has to change this part, everytime you change the number of bins\n", " # !!!!!WARNING!!!! has to change this part, everytime you change the number of bins\n",
" the_keys0 = list(list_dic[0].keys())\n", " the_keys0 = list(list_dic[0].keys())\n",
...@@ -563,55 +572,68 @@ ...@@ -563,55 +572,68 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 158, "execution_count": 17,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"def read_from_file(filename):\n", "def read_from_file(filename):\n",
" with open(filename, 'r', encoding=\"ISO-8859-1\") as file:\n", " with open(filename, 'rb') as file:\n",
" return file.read()" " return file.read()"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 147, "execution_count": 20,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2080559\n",
"[189, 237, 174, 241, 149, 209, 142, 187, 71, 107, 178, 113]\n"
]
}
],
"source": [ "source": [
"scenes = file_extractor()\n", "scenes = file_extractor()\n",
"images = image_extractor(scenes)\n", "images = image_extractor(scenes)\n",
"oglist_dic, ogbins = make_dictionary(images[:10], 4, False)\n", "oglist_dic, ogbins = make_dictionary(images[:1], 4, False)\n",
"file_size_ratios = []\n", "file_size_ratios = []\n",
"np.save(\"first_dic.npy\", oglist_dic)\n", "np.save(\"first_dic.npy\", oglist_dic)\n",
"for i in range(10):\n", "for i in range(1):\n",
" list_dic, image, new_error, diff, bound, predict, bins, A = huffman(images[i], 4, False)\n", " list_dic, image, new_error, diff, bound, predict, bins = huffman(images[i], 4, False)\n",
" encoded_string = encoder(new_error, oglist_dic, diff, bound, ogbins)\n", " encoded_string1 = encoder(new_error, oglist_dic, diff, bound, ogbins)\n",
" # reconstruct_image = decoder(A, encoded_string, list_dic, bins, False)\n", " # reconstruct_image = decoder(A, encoded_string, list_dic, bins, False)\n",
" # print(np.allclose(image, reconstruct_image))\n", " # print(np.allclose(image, reconstruct_image))\n",
" inletters = bitstring_to_bytes(encoded_string)\n", " print(len(encoded_string1))\n",
" inletters = bitstring_to_bytes(encoded_string1)\n",
"\n", "\n",
" reconstruct_image = decoder(A, encoded_string, oglist_dic, ogbins, False)\n", " # reconstruct_image = decoder(encoded_string, oglist_dic, ogbins, False)\n",
" print(np.allclose(image, reconstruct_image))\n", " # print(np.allclose(image, reconstruct_image))\n",
" # print(len(list_dic))\n", " # print(len(list_dic))\n",
" if images[0][:-5] == \".tiff\":\n", " if images[0][:-5] == \".tiff\":\n",
" newname = images[0][:-5]\n", " newname = images[0][:-5]\n",
" else:\n", " else:\n",
" newname = images[0][:-4]\n", " newname = images[0][:-4]\n",
" with open(newname + \"_Compressed.txt\", 'w') as f:\n", "\n",
" f.write(inletters.decode(\"ISO-8859-1\"))\n", " # with open(newname + \"_Compressed.txt\", 'wb') as f:\n",
" with open(\"MatrixNowString.txt\", 'wb') as f:\n",
" \n",
" f.write(inletters)\n",
" file_size_ratios.append((os.path.getsize('MatrixNowString.txt'))/os.path.getsize('images/1626032610_393963/1626032610_393963_0.tiff'))" " file_size_ratios.append((os.path.getsize('MatrixNowString.txt'))/os.path.getsize('images/1626032610_393963/1626032610_393963_0.tiff'))"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 112, "execution_count": 12,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"0.603203605615972\n" "0.39572609126335023\n"
] ]
} }
], ],
...@@ -621,9 +643,20 @@ ...@@ -621,9 +643,20 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 91,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
"text/plain": [
"0.6058229115470704"
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"0.6058229115470704" "0.6058229115470704"
] ]
...@@ -647,64 +680,55 @@ ...@@ -647,64 +680,55 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 16, "execution_count": 46,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"[[ 37 216 73 ... 42 88 53]\n", "4\n",
" [ 16 140 368 ... 112 54 468]\n", "0b100\n"
" [ 0 42 20 ... 28 13 13]\n",
" ...\n",
" [ 37 6 32 ... 6 13 192]\n",
" [ 32 2 130 ... 88 150 23]\n",
" [ 48 6 20 ... 20 73 322]]\n"
] ]
} }
], ],
"source": [ "source": [
"print(diff)" "print(int(\"100\",2))\n",
"print(bin(4))"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 159, "execution_count": 24,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"M\n" "b'\\xe4\\x05%4E\\x1a\\xd3 h\\xb1\\xb5\\x982\\xc9\\x0e\\xbc\\x83\\x90\\x101\\xd23\\xd9\\x16>'\n",
] "1850876\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": [ "source": [
"oglist_dic = np.load(\"first_dic.npy\", allow_pickle=\"TRUE\")\n", "def bytes_to_bitstring(input_bytearray):\n",
" end_string = \"\"\n",
" print(input_bytearray[0:25])\n",
" # print(bytearray(input_bytearray,encoding=\"ISO-8859-1\").decode(\"utf-8\")[0:4])\n",
" int_array = [i for i in input_bytearray]\n",
" for item in int_array:\n",
" end_string += (bin(item)[2:])\n",
" return end_string\n",
"# oglist_dic = np.load(\"first_dic.npy\", allow_pickle=\"TRUE\")\n",
"\n",
"\n",
"ogbins = [12,60,180]\n", "ogbins = [12,60,180]\n",
"encoded_string = read_from_file(images[0])\n", "encoded_string2 = bytes_to_bitstring(read_from_file(\"images/1626033496_437803/1626033496_437803_11._Compressed.txt\"))\n",
"print(encoded_string)\n", "\n",
"reconstruct_image = decoder(A, encoded_string, oglist_dic, ogbins, False)\n", "print(len(encoded_string2))\n",
"print(np.allclose(image, reconstruct_image))" "reconstruct_image = decoder(encoded_string2, oglist_dic, ogbins, False)\n",
"# print(np.allclose(image, reconstruct_image))"
] ]
}, },
{ {
......
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