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Read lena.dat file (removed from scipy 1.0) #1

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37 changes: 11 additions & 26 deletions notebooks/FGPU_edge_detection.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,6 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [],
Expand All @@ -43,9 +42,7 @@
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -120,7 +117,6 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
Expand Down Expand Up @@ -173,9 +169,7 @@
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -203,9 +197,7 @@
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -221,16 +213,17 @@
}
],
"source": [
"import scipy.misc\n",
"import pickle\n",
"import sys\n",
"from cffi import FFI\n",
"import numpy as np\n",
"ffi = FFI()\n",
"\n",
"#read input image\n",
"img=scipy.misc.lena()\n",
"nRows, nCols = img.shape[0:2]; # get image dimensions\n",
"length = nRows*nCols # length of input and output array\n",
"with open('data/lena.dat', 'rb') as f:\n",
" img = np.array(pickle.load(f))\n",
"nRows, nCols = img.shape # get image dimensions\n",
"length = img.size # length of input and output array\n",
"\n",
"# Allocate continuous memory for kernel parameters\n",
"img_ptr = mem.cma_alloc(length, data_type = \"unsigned\") # for input image\n",
Expand All @@ -255,7 +248,6 @@
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
Expand Down Expand Up @@ -284,7 +276,6 @@
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
Expand Down Expand Up @@ -314,9 +305,7 @@
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -360,7 +349,6 @@
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
Expand All @@ -384,7 +372,6 @@
],
"source": [
"import numpy as np\n",
"import scipy.misc \n",
"import scipy.ndimage\n",
"import time\n",
"from matplotlib import pyplot as plt\n",
Expand Down Expand Up @@ -446,9 +433,7 @@
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -489,7 +474,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.4.3+"
"version": "3.6.3"
}
},
"nbformat": 4,
Expand Down
3 changes: 3 additions & 0 deletions notebooks/data/lena.dat
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