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I want to recognize the tray is empty or not in the given image using OpenCV in python.

below is what I have tried

1. detect the biggest rectangle and cropped by using the below code

Background: I have data from a simulation where I have a few variables and thus many resulting combinations of parameters. Due to the internal design of the simulation there can be a little variation among the outcomes of identical sets of parameters, so I run a number of identical runs, then calculate their min, max, and mean score. Then, I want to compare the treatment and no-treatment conditions:

• calculate the mean of treatment minus no-treatment
• calculate the difference of the min score of treatment minus max score of no-treatment
• calculate the difference of the max score of treatment minus min score of no-treatment

This gives me the mean difference but also the bounds of the best- and worst-case comparison.

Example data:

I am working with a column of string in a dataframe, and trying to extract all words which matched any words in a giving word list. It extracted all matched words and substring, how can I get only words? Many thanks!

My code:

I am trying to use Google Cloud Natural Language API to classify/categorize tweets in order to filter out tweets that are not relevant to my audience (weather related). I can understand it must be tricky for an AI solution to make a classification on a short amount of text but I would imagine it would at least have a guess on text like this:

Wind chills of zero to -5 degrees are expected in Northwestern Arkansas into North-Central Arkansas extending into portions of northern Oklahoma during the 6-9am window . #arwx #okwx

I have tested several tweets but only very few get a categorization, the rest gets no result (or "No categories found. Try a longer text input." if I try it through the GUI).

Is it pointless to hope for this to work? Or, is it possible to decrease the threshold for the categorization? An "educated guess" from the NLP-solution would be better than no filter at all. Is there an alternate solution (outside training my own NLP-model)?

Edit: In order to clarify:

I am, in the end, using the Google Cloud Platform Natural language API in order to classify tweets. In order to test it I am using the GUI (linked above). I can see that quite few of the tweets I test (in the GUI) gets a categorization from GCP NLP, i.e. the category is empty.

The desired state I want is for GCP NLP to provide a category guess of a tweet text, rather than providing an empty result. I assume the NLP model removes any results with a confidence less than X%. It would be interesting to know if that threshold could be configured.

I assume the categorization of tweets must have been done before, and if there is any other way to solve this?

Edit 2: ClassifyTweet-code:

I am using ngx-quill and the input body returns some HTML elements.

Example

I was able to output an assets library and many other libraries that work as remote federated modules and as deep import libraries in case I am not connecting to a remote or I am not using webpack in the consumer end.

The issue is now that all my assets exports a module, that either have the raw data as uri or the string that points to the right asset. Eg: the bird.svg is outputed to dust with it's hash plus the modules that resolves to the file bird-[hash].svg.

The above is great from javascript but not so much for css. Now I can't rewrite the url() to point to the right remote path which would be sg like:

Let's say I have the following arrays of strings:

I'm developing an app for my thesis and I'm a little bit confused on what I should do here/where to write the code that I have and that worked before modifying these views.

Basically after the login process I only had a view (I was still testing at that time), now I made a Tab Bar Controller and 3 view under it. Problem is, the logout button I made for them is no longer working cause I don't know where to write the code for the Tab Bar Controller View...

For a normal view you just connect the swift file and it's done and dusted, you write everything you want in there and watch it work with the assistant view, but I'm not familiar with the Tab Bar Controller View...

In the photo I provided there is a logout button that is clicked, so you can see it better.

Logout Button

The code I used for the button when the view worked: