cluster same
parent
d39a4a30ec
commit
fe6817b1d1
|
@ -259,8 +259,8 @@
|
|||
"outputs": [],
|
||||
"source": [
|
||||
"print(\"Reduce training and validation set when testing\")\n",
|
||||
"total_train = 100\n",
|
||||
"total_val = 100\n",
|
||||
"#total_train = 1\n",
|
||||
"#total_val = 1\n",
|
||||
"print(\"Train =\")\n",
|
||||
"print(total_train)\n",
|
||||
"print(\"Validation =\")\n",
|
||||
|
@ -277,9 +277,26 @@
|
|||
"#batch_size = 128\n",
|
||||
"#epochs = 6\n",
|
||||
"#\n",
|
||||
"# Large Test\n",
|
||||
"#batch_size = 512 # FAIL\n",
|
||||
"#batch_size = 256 # FAIL\n",
|
||||
"#batch_size = 192 # BEST SO FAR\n",
|
||||
"#epochs = 16 # BEST SO FAR\n",
|
||||
"#\n",
|
||||
"# Fast, but reasonable answers\n",
|
||||
"batch_size = 64\n",
|
||||
"epochs = 4\n",
|
||||
"# Faster, but reasonable answers ?\n",
|
||||
"#batch_size = 32\n",
|
||||
"#epochs = 2\n",
|
||||
"#\n",
|
||||
"# Testing, faster more inaccurate results\n",
|
||||
"batch_size = 16\n",
|
||||
"epochs = 3"
|
||||
"#batch_size = 16\n",
|
||||
"#epochs = 3\n",
|
||||
"#\n",
|
||||
"# Smallest set for testing\n",
|
||||
"#batch_size = 1\n",
|
||||
"#epochs = 1"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
@ -318,17 +335,6 @@
|
|||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"test_image_generator = ImageDataGenerator(\n",
|
||||
" rescale=1./255\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
|
@ -354,27 +360,6 @@
|
|||
" class_mode='binary')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"print(test_dir)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"test_data_gen = test_image_generator.flow_from_directory(batch_size=batch_size,\n",
|
||||
" directory=test_dir,\n",
|
||||
" target_size=(IMG_HEIGHT, IMG_WIDTH),\n",
|
||||
" class_mode='binary')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
|
@ -393,15 +378,6 @@
|
|||
"sample_val_images, _ = next(val_data_gen)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"sample_test_images, _ = next(test_data_gen)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
|
@ -437,15 +413,6 @@
|
|||
"plotImages(sample_val_images[0:3])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"plotImages(sample_test_images[0:3])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
|
@ -618,7 +585,7 @@
|
|||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"model.save('data/wut.h5')"
|
||||
"model.save('data/hdf/wut-KgazZMKEa74VnquqXLwAvD.h5')"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
Loading…
Reference in New Issue