error while training with VGGnet about tffrcnn

[hemavakade]

Solved it by adding the following if condition in train_model function inside train.py

if restore_iter > 0: # Change added    
            if restore:
                try:
                    ckpt = tf.train.get_checkpoint_state(self.output_dir)
                    print 'Restoring from {}...'.format(ckpt.model_checkpoint_path),
                    self.saver.restore(sess, ckpt.model_checkpoint_path)
                    stem = os.path.splitext(os.path.basename(ckpt.model_checkpoint_path))[0]
                    restore_iter = int(stem.split('_')[-1])
                    sess.run(global_step.assign(restore_iter))
                    print 'done'
                except:
                    raise 'Check your pretrained {:s}'.format(ckpt.model_checkpoint_path)

[CharlesShang]

Great to hear that.
But it's not actually been solved.
TF1.0 change restore api. There's no model_checkpoint_path.

You can restore pretrained model with:

restorer = tf.train.Saver() # restoring all the vars
restorer.restore(sess, tf.train.latest_checkpoint(checkpoint_dir))