ATF | Face alignment，Facial Landmark detection ，ACM Multimedia | Computer Vision library

Try using this CSS selector $(".rso #hlcw0c #g #tF2Cxc #yuRUbf a").attr("href")

When you perform a forward and then a back discrete Fourier Transform on some data the normalisation of the result is conventional, usually you either get the data back as it was (to floating point accuracy), or if you are using an unnormalised transform the data will be scaled by the number of points in the data set, or you provide the normalisation as an argument. To find out which you will have read the documentation of whatever software you are using to do the transforms; fftw uses unnormalised transforms . Thus in your code you will need to preform the appropriate scaling. And if you run your code on your datasets you find the scaling is as described - on a 10x10 dataset the final data is 100 times the original data.

I cannot reproduce your claim that the code as given works for the smaller data sets. I get the expected scaling.

So, like most kernel issues the real problem was not where I thought it was. As it turns out, the problem was caused by one of the other drivers earlier in the init list hanging the core, preventing the watchdog driver from being registered. How this is affected by the initramfs is beyond me and is its own question.

For anyone who comes across this in the future, the answers to my specific questions above are listed below:

1. How can I verify a given symbol is included in the final linux.bin?

I was not able to figure out how to do this statically. That said, I was able to print the addresses of the init functions at runtime by adding printk()s to do_initcall_level in init/main.c. The addresses printed can then be compared to the output of objdump on vmlinux (see my question for the incantation).

A really useful and in-depth description of the initcall process can be found here.

Note that you can also turn on initcall_debug, which will print each function name. In my case I wanted raw addresses which is why I chose the printk() method.

1. What mechanisms would affect inclusion or exclusion of a given symbol at build time?

Most of this boils down to your .config. The vast majority of inclusion / exclusion is done via the preprocessor. Other useful items are the linker script common header at include/asm-generic/vmlinux.lds.h and the platform linker script at for your device arch//*/*.lds.

1. Which pieces of the kernel build and runtime are affected by initramfs size?

No idea on this one, still.

1. Are there any other tools / techniques / tribal wisdom which can help debug this situation?

Don't panic

Check how to use VALUES in python sql statements. You don't need commas on VALUES. Below is an example

cursor.execute("INSERT INTO table VALUES (%s, %s, %s)", (var1, var2, var3))

This error results from a bad SD card, or perhaps one that has already been used (formatted) for other uses. I was able to bypass this error and successfully install the OS by burning the image per the the getting started guide on a brand new SD card (I used a Samsung 128GB Pro Endurance card). I used balenaEtcher on a mac, which burns the image in just a few minutes.

You're not looking at x and y axis, but at the panel border.

User Stefan suggested to include how to mirror your x / y axis in case this is what you also wanted. - Just delete the two last lines of code if this is not what you want :)

document.getElementsByClassName() returns an html collection object. To select the particular first element with this class, you have to specify the index like this -

As I said in the comments it seems like a clear case of model underfitting - you have too little data for the size of the model itself. Rather than playing around with the sizes of layers, just try SVM or RandomForest classifiers first and see if it's even possible to get any reasonable classification with your data. Also with this amount of data neural network is hardly ever a good choice.

So do this instead:

There's an open issue link similar to your problem. A workaround is to deploy using dev branch. I tried deploying on my end and currently it worked for me as well. Just be sure to delete the master branch on your machine and use the dev CLI.

Deploy CRMint on Google Cloud Platform from the dev branch: