Open Lilithrrm opened 2 years ago
Hi all,
my image z is of size (128, 128, 1). Since my model only takes image(s) of shape (x,128,128,1), I modified the 'lime_image.py' accordingly to #116.
When I hit
explanation = explainer.explain_instance(z, model.predict, top_labels=5, hide_color=None,num_samples=1000)
I get
NameError Traceback (most recent call last) <ipython-input-18-1b04fb1bf0f7> in <module> ----> 1 explanation = explainer.explain_instance(z, model.predict, top_labels=5, hide_color=None,num_samples=1000) ~/.local/lib/python3.7/site-packages/lime-0.2.0.1-py3.7.egg/lime/lime_image.py in explain_instance(self, image, classifier_fn, labels, hide_color, top_labels, num_features, num_samples, batch_size, segmentation_fn, distance_metric, model_regressor, random_seed, progress_bar) 185 qs_image = image 186 --> 187 segments = quickshift(qs_image, kernel_size=qs_kernel_size, 188 max_dist=200, ratio=0.2, random_seed=random_seed) 189 #segments = segmentation_fn(image) **NameError: name 'qs_kernel_size' is not defined**
And as I see, 'qs_kernel_size' is really never being defined within 'lime_image.py'. (No matter if you modify the code for accepting grayscale images or not.)
Thanks in advance for your help!
Hi all,
my image z is of size (128, 128, 1). Since my model only takes image(s) of shape (x,128,128,1), I modified the 'lime_image.py' accordingly to #116.
When I hit
explanation = explainer.explain_instance(z, model.predict, top_labels=5, hide_color=None,num_samples=1000)
I get
And as I see, 'qs_kernel_size' is really never being defined within 'lime_image.py'. (No matter if you modify the code for accepting grayscale images or not.)
Thanks in advance for your help!