scratches | A scratchpad with node & browser apis | Runtime Evironment library

It is not possible to handle an async exception of a task if it does not call the call_exception_handler inside of it. That provides a context to the exception handler which can be customized using set_exception_handler.

If you are creating an async task you have to use try/except in the coroutine where possibly can occur an exception. I have demonstrated some minimal implementation to catch exceptions of async tasks using set_exception_handler

I recommend you to:

1. do camera calibration to make the lines in your image straight, and
2. align your camera well to your production line so you can simplify the image processing and make it more robust, and
3. use better illumination conditions if possible.

Given the images above, here is a brute force solution:

• you can first extract the region of interest (ROI) through: HSV segmentation followed by contour detection, then you can extract the rectangular shape of the tray using this SO answer.

Because that's just not how ReadDirectoryChanges works. It doesn't continuously send you changes. It sends you one batch of changes. You process them. You call the function again to tell the system that you want more changes.

I found a correct usage example of the function here: https://gist.github.com/nickav/a57009d4fcc3b527ed0f5c9cf30618f8

Some side notes:

• You don't check whether ReadDirectoryChanges succeeds. This is bad; if it failed, you will hang on the Wait call forever.
• You don't zero-initialize the OVERLAPPED structure.
• You create the event as an auto-reset event (second parameter is FALSE). ResetEvent on such an event does nothing.
• All the event handles you add into your vector are the same event object. You just have an ever-growing list of the same event repeatedly that you pass to WaitForMultipleObjects. This does nothing at best, but will eventually fail because WFMO doesn't allow more than MAXIMUM_WAIT_OBJECTS handles, and this number is fairly low (32, I think).
• You probably want a more permissive share mode on the directory you open.

This has nothing to do with tuples themselves, but with str being applied to basically anything that is not already a string (unless a class redefines its __str__ method to cache results):

The equivalent of this model using the Functional API:

The main problem here is that you haven't opened the file you want to write to. This can be corrected with:

Using just the title "Store an array into a specific position of another array" the following code does this:

The expected input shape of the LSTM layer is (batch, timesteps, features). As you have only one feature you can reshape your training sequences as follows

Error is expected, because function count / so need strings in columns 'home_odds', 'draw_odds', 'away_odds', but there are numbers, so raise error.

All together: