How can i test Resnet101 backbone based model?

[YefeiGao]

Thanks for ur work on this project, when i use resnet101 backbone based pre-trained model by replace the checkpoint path, it just didn't work, so what can i do to test resnet101 pre-trained model? Thx!

[YefeiGao]

i modified three parts of the code and it works, that inclued:

1. model.py

   with slim.arg_scope(resnet_v1.resnet_arg_scope(weight_decay=weight_decay)):
   # logits, end_points = resnet_v1.resnet_v1_50(images, is_training=is_training, scope='resnet_v1_50')
   logits, end_points = resnet_v1.resnet_v1_101(images, is_training=is_training, scope='resnet_v1_101')

2. resnet_v1.py

   if __name__ == '__main__':
   input = tf.placeholder(tf.float32, shape=(None, 224, 224, 3), name='input')
   with slim.arg_scope(resnet_arg_scope()) as sc:
       # logits = resnet_v1_50(input)
       logits = resnet_v1_101(input)

3. resnet_v1.py

   try:
   # end_points['pool3'] = end_points['resnet_v1_50/block1']
   # end_points['pool4'] = end_points['resnet_v1_50/block2']
   end_points['pool3'] = end_points['resnet_v1_101/block1']
   end_points['pool4'] = end_points['resnet_v1_101/block2']
   except:
   end_points['pool3'] = end_points['Detection/resnet_v1_50/block1']
   end_points['pool4'] = end_points['Detection/resnet_v1_50/block2']

   hope this help others :)

[HaozhengLi]

Hello @YefeiGao

You are right.

And you managed to solve it before I saw your email, hahah. :)