Checkpoint2 | Potato ORM is a simple agnostic ORM | Object-Relational Mapping library

I am trying to classify the medical images taken from publicly available datasets. I used transfer learning for this task. Initially, when I had used the following code on the same dataset with VGG, Resnet, Densenet, and Inception, the accuracy was above 85% without fine-tuning (TensorFlow version 1.15.2.) Now, after upgrading the TensorFlow to 2.x, when I try the same code on the same dataset, the accuracy is never crossing 32%. Can anyone please help me rectify the issue? Is it something to do with the TensorFlow version or something else? I have tried varying the learning rate, fine-tuning the model, etc. Is this the issue with batch normalization error in Keras?

The code below ran perfectly well on the standalone version of PySpark 2.4 on Mac OS (Python 3.7) when the size of the input data (around 6 GB) was small. However, when I ran the code on HDInsight cluster (HDI 4.0, i.e. Python 3.5, PySpark 2.4, 4 worker nodes and each has 64 cores and 432 GB of RAM, 2 header nodes and each has 4 cores and 28 GB of RAM, 2nd generation of data lake) with larger input data (169 GB), the last step, which is, writing data to the data lake, took forever (I killed it after 24 hours of execution) to complete. Given the fact that HDInsight is not popular in the cloud computing community, I could only reference posts that complained about the low speed when writing dataframe to S3. Some suggested to repartition the dataset, which I did, but it did not help.

I am trying to return the first five checkpoint values from my object. I firstly, get all keys that contain checkpoint, testing against a regular expression. I am getting the wrong values and I know its because of the regex but not sure how to fix it. It seems to be getting to checkpoint5 then skipping to checkpoint10

EDIT:

I found the problem: I have to find a way to make swagger Codegen remove the "visible = true" part when it generates the java class. If i remove that manually it works. Problem is that the classes generate at compile-time and that modification will be overridden.

Stil need help!

Initial post:

I have the following:

• a Reception entity class that has a List. Checkpoint is the base class, but it will only contain subclasses like Checkpoint1, Checkpoint2 etc.

• a ReceptionCotroller that has an HTTP POST method mapped by "/receptions".

• DTO classes for Reception and Checkpoints (Checkpoint base class, Checkpoint1, Checkpoint2 etc) generated with Swagger CodeGen openapi 3.0.2. using a yml file. The Checkpoint DTO has a discriminator field (in the yml file) named "dtype" so when deserializing the JSON into a Checkpoint, it knows what subclass it refers to.

The problem is when I add the property: spring.jackson.deserialization.fail-on-unknown-properties = true, it does not recognize the "dtype" property and it fails. I want the application to fail when it encounters unknown properties, but to ignore the "dtype".

I've tried to add a dtype field (beside the discriminator definition) in the Checkpoint DTO but then the JSON that returns as a response has 2 dtype fields (one with the discriminator value, and one with null).

Reception and Checkpoint in yml file:

I am trying to create a model that recognizes static gestures using CNN. I have 26 gestures and 2400 images for all gestures. However, the model has a missing input layer and has a 96% error.

I am pretty new so have no idea about most of the things. I have tried changing some things to no help.

///this is my model

I have following classes in my application.

I need to check that certain operations have occurred in a particular order in threaded/asynchronous code. Something along the lines of:

I have a function that check validity of inserted data of a form, and in this function I have to ask some confirmation from user, and this confirmation need to be asked outside of the function, so if I hit one of this confirmations, I create the message and send out the validation function, user confirms or not and the function would called again

so here is the problem: I need to put some checkpoints in my function so when I call the validation function I jump to that checkpoint with the selected confirmation from user and run the validation function from that checkpoint

1: is this possible at all?

2: any ideas to do this?

Edit 1: I'm doing this validation in my business layer and can not show any message boxes from there, I just create the message and return it to the UI layer and the answer get from the user and function call again with this answer but I don't want to run the function from beginning and need to run it from where I left

This is my code for a certain program. But what is killing me is the fact that in the function getTotalX, in the inner if blocks of for loops,when flag is updated to 0, after the break statement, it gets updated back to 1. Why is this happening? I thought break statement helps me break from the for loop and continue directly to the next following statement.