Abhay Kumar

Inpainting code takes hours to remove watermark

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Hi, I am trying your inpainting code. It taking around 4 hours. How can one use this code in production to remove watermark from multiple image as it is taking...

Trained successfully for 1000 epoch but result is worst than the given watermarked image

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Trained successfully for 1000 epoch but result is worst than the given watermarked image. Seems like watermark getting override on top of watermark image itself instead of removing it which...

Pre trained model doesn't generalise at all

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Can you please tell me which part might have cause issue of not generalising well. Like which part should I focus on more to improve your code?

Hi, ``` sess.run(iterator_inits[1]) # switch to validation dataset while True: import pdb; pdb.set_trace(); try: _, summaries_ = sess.run([loss, summaries], feed_dict={training: False}) # print(summaries_) val_writer.add_summary(summaries_, global_step_) except tf.errors.OutOfRangeError: break ``` Above...

Limitations: this architectures does not generalize to watermarks that are too different from the one generated with create_mask and it produces decent results only when the overlay is applied in...

Hi, I can read redshift data into spark dataframe using databricks data source below. ``` from pyspark.sql import SQLContext from pyspark import SparkConf, SparkContext sc = SparkContext(conf=SparkConf().setAppName("MyApp").setMaster("local")) hadoop_conf=sc._jsc.hadoopConfiguration() hadoop_conf.set("fs.s3n.impl", "org.apache.hadoop.fs.s3native.NativeS3FileSystem")...