91av视频/亚洲h视频/操亚洲美女/外国一级黄色毛片 - 国产三级三级三级三级

  • 大小: 32.34MB
    文件類型: .zip
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    發布日期: 2023-08-06
  • 語言: 其他
  • 標簽: 語義分割??SegNet??

資源簡介

發表SegNet網絡的論文為:Badrinarayanan V, Kendall A, Cipolla R.SegNet: A Deep Convolutional Encoder-Decoder Architecture for SceneSegmentation[J]. IEEE Transactions on Pattern Analysis & MachineIntelligence, 2017, PP(99):1-1。 來源于美國加州大學伯克利分校的這項工作為語義分割引入了端到端的全卷積網絡,在構建的網絡結構中,重新利用ImageNet的預訓練網絡用于語義分割,并使用了反卷積層進行上采樣并且引入跳躍連接來改善上采樣粗糙的像素定位。

資源截圖

代碼片段和文件信息

from?__future__?import?print_function
from?keras.preprocessing.image?import?ImageDataGenerator
import?numpy?as?np?
import?os
import?glob
import?skimage.io?as?io
import?skimage.transform?as?trans

Sky?=?[128128128]
Building?=?[12800]
Pole?=?[192192128]
Road?=?[12864128]
Pavement?=?[6040222]
Tree?=?[1281280]
SignSymbol?=?[192128128]
Fence?=?[6464128]
Car?=?[640128]
Pedestrian?=?[64640]
Bicyclist?=?[0128192]
Unlabelled?=?[000]

COLOR_DICT?=?np.array([Sky?Building?Pole?Road?Pavement
??????????????????????????Tree?SignSymbol?Fence?Car?Pedestrian?Bicyclist?Unlabelled])


def?adjustData(imgmaskflag_multi_classnum_class):
????if(flag_multi_class):
????????img?=?img?/?255
????????mask?=?mask[:::0]?if(len(mask.shape)?==?4)?else?mask[::0]
????????new_mask?=?np.zeros(mask.shape?+?(num_class))
????????for?i?in?range(num_class):
????????????#for?one?pixel?in?the?image?find?the?class?in?mask?and?convert?it?into?one-hot?vector
????????????#index?=?np.where(mask?==?i)
????????????#index_mask?=?(index[0]index[1]index[2]np.zeros(len(index[0])dtype?=?np.int64)?+?i)?if?(len(mask.shape)?==?4)?else?(index[0]index[1]np.zeros(len(index[0])dtype?=?np.int64)?+?i)
????????????#new_mask[index_mask]?=?1
????????????new_mask[mask?==?ii]?=?1
????????new_mask?=?np.reshape(new_mask(new_mask.shape[0]new_mask.shape[1]*new_mask.shape[2]new_mask.shape[3]))?if?flag_multi_class?else?np.reshape(new_mask(new_mask.shape[0]*new_mask.shape[1]new_mask.shape[2]))
????????mask?=?new_mask
????elif(np.max(img)?>?1):
????????img?=?img?/?255
????????mask?=?mask?/255
????????mask[mask?>?0.5]?=?1
????????mask[mask?<=?0.5]?=?0
????return?(imgmask)



def?trainGenerator(batch_sizetrain_pathimage_foldermask_folderaug_dictimage_color_mode?=?“grayscale“
????????????????????mask_color_mode?=?“grayscale“image_save_prefix??=?“image“mask_save_prefix??=?“mask“
????????????????????flag_multi_class?=?Falsenum_class?=?2save_to_dir?=?Nonetarget_size?=?(256256)seed?=?1):
????‘‘‘
????can?generate?image?and?mask?at?the?same?time
????use?the?same?seed?for?image_datagen?and?mask_datagen?to?ensure?the?transformation?for?image?and?mask?is?the?same
????if?you?want?to?visualize?the?results?of?generator?set?save_to_dir?=?“your?path“
????‘‘‘
????image_datagen?=?ImageDataGenerator(**aug_dict)
????mask_datagen?=?ImageDataGenerator(**aug_dict)
????image_generator?=?image_datagen.flow_from_directory(
????????train_path
????????classes?=?[image_folder]
????????class_mode?=?None
????????color_mode?=?image_color_mode
????????target_size?=?target_size
????????batch_size?=?batch_size
????????save_to_dir?=?save_to_dir
????????save_prefix??=?image_save_prefix
????????seed?=?seed)
????mask_generator?=?mask_datagen.flow_from_directory(
????????train_path
????????classes?=?[mask_folder]
????????class_mode?=?None
????????color_mode?=?mask_color_mode
????????target_size?=?target_size
????????batch_size?=?batch_size
????????save_to_dir?=?save_to_dir
???

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-06-22?02:37??unet-master\
?????文件????????2552??2018-06-22?02:37??unet-master\README.md
?????文件????????5076??2018-06-22?02:37??unet-master\data.py
?????目錄???????????0??2018-06-22?02:37??unet-master\data\
?????目錄???????????0??2018-06-22?02:37??unet-master\data\membrane\
?????文件?????7871660??2018-06-22?02:37??unet-master\data\membrane\test-volume.tif
?????目錄???????????0??2018-06-22?02:37??unet-master\data\membrane\test\
?????文件??????214932??2018-06-22?02:37??unet-master\data\membrane\test\0.png
?????文件???????48695??2018-06-22?02:37??unet-master\data\membrane\test\0_predict.png
?????文件??????213325??2018-06-22?02:37??unet-master\data\membrane\test\1.png
?????文件??????216258??2018-06-22?02:37??unet-master\data\membrane\test\10.png
?????文件???????58705??2018-06-22?02:37??unet-master\data\membrane\test\10_predict.png
?????文件??????212360??2018-06-22?02:37??unet-master\data\membrane\test\11.png
?????文件???????59910??2018-06-22?02:37??unet-master\data\membrane\test\11_predict.png
?????文件??????218424??2018-06-22?02:37??unet-master\data\membrane\test\12.png
?????文件???????58785??2018-06-22?02:37??unet-master\data\membrane\test\12_predict.png
?????文件??????216843??2018-06-22?02:37??unet-master\data\membrane\test\13.png
?????文件???????56863??2018-06-22?02:37??unet-master\data\membrane\test\13_predict.png
?????文件??????215779??2018-06-22?02:37??unet-master\data\membrane\test\14.png
?????文件???????55807??2018-06-22?02:37??unet-master\data\membrane\test\14_predict.png
?????文件??????213389??2018-06-22?02:37??unet-master\data\membrane\test\15.png
?????文件???????55776??2018-06-22?02:37??unet-master\data\membrane\test\15_predict.png
?????文件??????210724??2018-06-22?02:37??unet-master\data\membrane\test\16.png
?????文件???????57146??2018-06-22?02:37??unet-master\data\membrane\test\16_predict.png
?????文件??????210481??2018-06-22?02:37??unet-master\data\membrane\test\17.png
?????文件???????58158??2018-06-22?02:37??unet-master\data\membrane\test\17_predict.png
?????文件??????210865??2018-06-22?02:37??unet-master\data\membrane\test\18.png
?????文件???????62315??2018-06-22?02:37??unet-master\data\membrane\test\18_predict.png
?????文件??????209276??2018-06-22?02:37??unet-master\data\membrane\test\19.png
?????文件???????54740??2018-06-22?02:37??unet-master\data\membrane\test\19_predict.png
?????文件???????54547??2018-06-22?02:37??unet-master\data\membrane\test\1_predict.png
............此處省略230個文件信息

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