9b9095f877f603d91495c72f91e4fddf61f1724e,examples/02_decoding/plot_haxby_stimuli.py,,,#,15
Before Change
stimulus_information = haxby_dataset.stimuli
for stim_type in sorted(stimulus_information.keys()):
if stim_type == b"controls":
// skip control images, there are too many
continue
file_names = stimulus_information[stim_type]
plt.figure()
for i in range(48):
After Change
ax.imshow(plt.imread(img_path), cmap=plt.cm.gray)
for ax in axes.ravel():
ax.axis("off")
show()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: nilearn/nilearn
Commit Name: 9b9095f877f603d91495c72f91e4fddf61f1724e
Time: 2019-07-22
Author: jerome@dockes.org
File Name: examples/02_decoding/plot_haxby_stimuli.py
Class Name:
Method Name:
Project Name: pytorch/tutorials
Commit Name: 238dcd48412361f669bc41ee48995266ac168ee8
Time: 2017-04-11
Author: sasankchilamkurthy@gmail.com
File Name: beginner_source/transfer_learning_tutorial.py
Class Name:
Method Name: visualize_model
Project Name: daavoo/pyntcloud
Commit Name: 0da94c2fc76a74e701b653f5b76f8066b4305cdc
Time: 2020-05-13
Author: marcus.wallbaum@gmail.com
File Name: pyntcloud/structures/voxelgrid.py
Class Name: VoxelGrid
Method Name: plot