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Image Segmentation framework based on Tensorflow and TF-Slim library

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![20170819114828](https://user-images.githubusercontent.com/30286349/29483229-8417d81c-84d4-11e7-8e69-4f660f325ba1.png)

Set spatial_squeeze=False for resnet_v1 resnet_v1_101 and resnet_v1_50 models

I used import_meta_graph and restore and have used my own image. I am getting this error Incompatible shapes: [1,30,40,21] vs. [1,18,28,21] at image_np, pred_np = sess.run([image_tensor, pred], feed_dict=feed_dict_to_use)

Here are 3 results of segmentation on the same image. ![figure_1](https://user-images.githubusercontent.com/6739498/27233486-73492a6a-526e-11e7-984e-99bb2e2bf7cc.png) ![figure_2](https://user-images.githubusercontent.com/6739498/27233487-734b6d84-526e-11e7-9c90-d7fe47aba8c2.png) ![figure_3](https://user-images.githubusercontent.com/6739498/27233485-734815a8-526e-11e7-8883-0894d6249f70.png) Here is the relevant code. [test.py.zip](https://github.com/warmspringwinds/tf-image-segmentation/files/1081243/test.py.zip)

- supersedes and cleans up unnecessary files from #7. - Includes one command automated pascal_voc setup, plus examples of using keras tensors. - Also includes integration of keras layers with...

Hi, @warmspringwinds , According to this [notebook](https://github.com/warmspringwinds/tf-image-segmentation/blob/master/tf_image_segmentation/recipes/pascal_voc/convert_pascal_voc_to_tfrecords.ipynb), the dataset for VOC2012 and benchmark_RELEASE are needed? Could you list the download link for the corresponding dataset? Thanks!

when i read the code fcn_32s.py , i find that it called function vgg.vgg_16 and passing into a parameter called fc_conv_padding="SAME". logits, end_points = vgg.vgg_16(mean_centered_image_batch, num_classes=number_of_classes, is_training=is_training, spatial_squeeze=False, fc_conv_padding='SAME') However,...

Fix for #8 based on comments by @vijtad and @zhaozj89. Add version checks/changes at fail points based on output of tf_upgrade_tool.py. Add Python 3.x compatibility. Unsure if adding forward/backward compatibility...

It is a great library. But when I use tensorflow v1.0.0 it didn't work. My code: class FcvImgSeg(object): def __init__(self): print('init') self.slim = tf.contrib.slim self.fcv_ckpt_path = './models/lcct/model_fcn8s_final.ckpt' self.number_of_classes = 21...