From 4e0288a723a1eef6fff304895312a0eab69f6eb0 Mon Sep 17 00:00:00 2001 From: John Kirkham Date: Wed, 13 Sep 2017 11:04:07 -0400 Subject: [PATCH] Add comments --- nanshe_ipython.ipynb | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/nanshe_ipython.ipynb b/nanshe_ipython.ipynb index 203e4b5..61625af 100644 --- a/nanshe_ipython.ipynb +++ b/nanshe_ipython.ipynb @@ -1664,6 +1664,7 @@ " imgs, chunks=(block_frames,) + imgs.shape[1:]\n", " )\n", "\n", + " # Drop empty basis images and threshold the rest\n", " da_imgs_pos = da.where(da_imgs > 0, da_imgs, 0)\n", " da_imgs_norm = normalize_data(da_imgs_pos)\n", "\n", @@ -1675,6 +1676,7 @@ " )\n", " da_imgs_thrd = (da_imgs_thrd > basis_threshold)\n", "\n", + " # Find the label images for each basis image\n", " da_lbl_imgs = []\n", " da_num_lbls = []\n", " for i in irange(len(da_imgs_thrd)):\n", @@ -1699,6 +1701,7 @@ "\n", " da_lbl_imgs, da_num_lbls, da_adj_lbls = executor.persist([da_lbl_imgs, da_num_lbls, da_adj_lbls])\n", "\n", + " # Extract ROIs from basis images\n", " da_msk_imgs = []\n", " for i in irange(len(da_lbl_imgs)):\n", " for l in irange(1 + da_adj_lbls[i].compute(),\n", @@ -1710,6 +1713,7 @@ "\n", " del da_num_lbls, da_adj_lbls\n", "\n", + " # Generate label image and convert mask type\n", " da_lbl_img = (\n", " da.arange(\n", " 1, 1 + len(da_msk_imgs), chunks=da_msk_imgs.chunks[0]\n",