dataset test

Author: Miles Xu

.ipynb_checkpoints/ground_data_explore-checkpoint.ipynb

@@ -0,0 +1,32 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

ground_data_explore.ipynb

@@ -11,12 +11,12 @@
 from learning_rate_update import learning_rate_update
 
 if sys.platform == 'linux':
-    path = '/home/milesx/datasets/deeplens/'
+    path = '/home/mingx/datasets/'
 else:
     path = 'C:\\Users\\miles\\Documents\\dataset'
 save_path = os.path.join(path, 'saved_model')
 train_params = {
-    'n_data': 1024,
+    'n_data': 5120,
     'num_classes': 2,
     'batch_size': 128,
     'n_eval_data': 128,
@@ -45,7 +45,7 @@
     torch.cuda.manual_seed_all(770715)
     torch.backends.cudnn.deterministic = True
 train_composed = transforms.Compose(
-    [Log10(), Clamp(1e-9, 100), WhitenInput(),
+    [WhitenInput(),
      AugmentTranslate(train_params['augment_translation'], 101)])
 test_composed = transforms.Compose([Clamp(1e-9, 100), WhitenInput()])
 ground_train_dataset = gbd.GroundBasedDataset(