dr_domi/udlbook
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Change all TO DO to TODO

Browse Source
This commit is contained in:
Kaj van Rijn
2024-11-22 15:34:52 +01:00
parent 6d425c04d4
commit 6072ad4450
5 changed files with 13 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
Notebooks/Chap10/10_4_Downsampling_and_Upsampling.ipynb
View File

@@ -73,7 +73,7 @@
"source": [
"def subsample(x_in):\n",
" x_out = np.zeros(( int(np.ceil(x_in.shape[0]/2)), int(np.ceil(x_in.shape[1]/2)) ))\n",
" # TO DO -- write the subsampling routine\n",
" # TODO -- write the subsampling routine\n",
" # Replace this line\n",
" x_out = x_out\n",
"\n",
@@ -159,7 +159,7 @@
"# Now let's try max-pooling\n",
"def maxpool(x_in):\n",
" x_out = np.zeros(( int(np.floor(x_in.shape[0]/2)), int(np.floor(x_in.shape[1]/2)) ))\n",
" # TO DO -- write the maxpool routine\n",
" # TODO -- write the maxpool routine\n",
" # Replace this line\n",
" x_out = x_out\n",
"\n",
@@ -230,7 +230,7 @@
"# Finally, let's try mean pooling\n",
"def meanpool(x_in):\n",
" x_out = np.zeros(( int(np.floor(x_in.shape[0]/2)), int(np.floor(x_in.shape[1]/2)) ))\n",
" # TO DO -- write the meanpool routine\n",
" # TODO -- write the meanpool routine\n",
" # Replace this line\n",
" x_out = x_out\n",
"\n",
@@ -316,7 +316,7 @@
"# Let's first use the duplication method\n",
"def duplicate(x_in):\n",
" x_out = np.zeros(( x_in.shape[0]*2, x_in.shape[1]*2 ))\n",
" # TO DO -- write the duplication routine\n",
" # TODO -- write the duplication routine\n",
" # Replace this line\n",
" x_out = x_out\n",
"\n",
@@ -388,7 +388,7 @@
"# The input x_high_res is the original high res image, from which you can deduce the position of the maximum index\n",
"def max_unpool(x_in, x_high_res):\n",
" x_out = np.zeros(( x_in.shape[0]*2, x_in.shape[1]*2 ))\n",
" # TO DO -- write the subsampling routine\n",
" # TODO -- write the subsampling routine\n",
" # Replace this line\n",
" x_out = x_out\n",
"\n",
@@ -460,7 +460,7 @@
" x_out = np.zeros(( x_in.shape[0]*2, x_in.shape[1]*2 ))\n",
" x_in_pad = np.zeros((x_in.shape[0]+1, x_in.shape[1]+1))\n",
" x_in_pad[0:x_in.shape[0],0:x_in.shape[1]] = x_in\n",
" # TO DO -- write the duplication routine\n",
" # TODO -- write the duplication routine\n",
" # Replace this line\n",
" x_out = x_out\n",
"\n",