ymcasky
ymcasky
Hi, ZhouYanzhao Thanks for your sharing code! line 163 should change to : if test_acc > best_test_acc[0]: => if test_acc.float() > best_test_acc[0]:
Hi, When I run the script "run_article" with matlab. It successfully run and show logs as following > run_article 28 tasks. Loading cached descriptor from /media/user/70303F89D6F80E5A/code/matching/hpatches-benchmark/data/descriptors/sift/desc.mat. Results loaded from /media/user/70303F89D6F80E5A/code/matching/hpatches-benchmark/matlab/scores/scores_all/sift/verification.csv....
Hi , have you implement dpp in pytorch or tensorflow with mainscript Thanks for your kindly sharing!
Dear all, I follow post in "https://blog.keras.io/keras-as-a-simplified-interface-to-tensorflow-tutorial.html" The little modified code I use is: ---------------------------------------------------------------------------------------------------------------------------------- import tensorflow as tf from tensorflow.python.keras.layers import Dense from tensorflow.python.keras.backend import categorical_crossentropy from tensorflow.examples.tutorials.mnist import...
Dear all, My module is : model = Sequential() model.add(InputLayer(input_shape=(img_size_flat,))) #784->(28,28,1) model.add(Reshape(img_shape_full)) model.add(Conv2D(kernel_size=5, strides=1, filters=16, padding='same', activation='relu', name='layer_conv1')) model.add(MaxPooling2D(pool_size=2, strides=2)) model.add(Conv2D(kernel_size=5, strides=1, filters=36, padding='same', activation='relu', name='layer_conv2')) model.add(MaxPooling2D(pool_size=2, strides=2)) model.add(Flatten()) model.add(Dense(128,...
How can I feed my own data instead of using mnist? Like the example in this post https://github.com/aymericdamien/TensorFlow-Examples/blob/master/notebooks/5_DataManagement/build_an_image_dataset.ipynb Thanks for any help!
Hi, can I get the sample image to run this code? thanks you!!!