James-Andrew R. Sarmiento
James-Andrew R. Sarmiento
same error
for 800x600 resolution, what should be the batch_size for that? Also, how to train using custom dataset?
@imatiach-msft it is installed like this ``` session = SparkSession.builder.appName("person-classifier").config("spark.jars.packages", "com.microsoft.ml.spark:mmlspark_2.11:1.0.0-rc3").config("spark.jars.repositories", "https://mmlspark.azureedge.net/maven").getOrCreate() spark_context = sql.SQLContext(session) ```
To make it clearer, say I have a new model trained and I want to approximate the channel for a certain attribute (e.g. `4_45`), **are the classifiers necessary?**
Thank you for this. Unfortunately, I still do not understand the difference between localized control and attribute control. My understanding is that the attribute-specific channel is the channel that controls...
Is the layer + index like `4_256` localized control or attribute control?
I also figured that it has not good transferability. The channels I had here are for `orig, sky, headlights, color, grass` Do you think the transferability grows when there are...
@betterze I just have some questions on how to adapt the steps #3 and onwards using 1K images for a custom model, say car. ``` Generate Semantic segmentation for natural...
Any suggestions where to get the segmentation pretrained models for bedroom, etc.?
Why does this need a classifier? _"To get the attribute specific channels (for example, channels for smiling), **we need to use classifers** to annotate a set of generated images. Please...