from-scratch | C standard library features , from scratch

I'm trying to create a MIDI file from scratch in C++. I'm using this website as a resource: https://intuitive-theory.com/midi-from-scratch/ .

Since MIDI requires it to be encoded in Hex, i've written a program that creates a MIDI file and pastes HEX code in it like this:

I'm learning DRL with the book Deep Reinforcement Learning in Action. In chapter 3, they present the simple game Gridworld (instructions here, in the rules section) with the corresponding code in PyTorch.

I've experimented with the code and it takes less than 3 minutes to train the network with 89% of wins (won 89 of 100 games after training).

As an exercise, I have migrated the code to tensorflow. All the code is here.

The problem is that with my tensorflow port it takes near 2 hours to train the network with a win rate of 84%. Both versions are using the only CPU to train (I don't have GPU)

Training loss figures seem correct and also the rate of a win (we have to take into consideration that the game is random and can have impossible states). The problem is the performance of the overall process.

I'm doing something terribly wrong, but what?

The main differences are in the training loop, in torch is this:

Repeatedly this error comes in

I have a custom training loop that can be simplified as follow

I have below piece of code. I am using React and svg for bar charts. I am not using any third party library for charts. With this below piece of code, i am able to get the bar charts. But the issue is that my bar charts show horizontally, I want to show it vertically. I am not able to figure out how to get this same piece of code working for a vertical bar chart.

I saw one video online https://egghead.io/lessons/javascript-build-a-bar-chart-with-svg-from-scratch-with-react This guy is able to achieve the bar chart vertically. I am not sure where i am going wrong in displaying it. Any changes i do or try, it always show horizontal bar chart.

I have a similar setup to the one I'm creating on a new server, so I know the 'principle works'. I have a Git post-receive which looks likes this:

I am attempting to train an object detection model using Tensorflow's Object Detection API 2 and Tensorflow 2.3.0. I have largely been using this article as a resource in preparing the data and training the model.

Most articles which use the Object Detection API download a pre-trained model from the Tensorflow model zoo prior to fine-tuning.

The Tensorflow Model Zoo is a set of links on a Github page set up by the Object Detection team. When I click one such link (using Google Chrome), a new tab opens briefly as if a download is starting, then immediately closes and a download does not occur. Hyperlinks to other models I have found in articles also have not worked.

To anyone who has worked with fine-tuning using the Object Detection API: What method did you use to download a pre-trained model? Did the model zoo links work? If not, what resource did you use instead?

Any help is much appreciated.

I found this great post by Chris Sainty: Creating Bespoke Input Components for Blazor from Scratch. It is exactly what I need, but not with string, but with uploaded files IBrowserFile. So I have adapted and extended the example for me. The customized component displays the new files and saves it in my model, but in the CSS the status unfortunately stays on class="modified invalid". I must be missing a small detail here. What is it? Thanks in advance for any hints.

Here is my code reduced to the essentials.

Selection.razor

I'm working on a streaming prototype using UE4. My goal here (in this post) is solely about capturing frames and saving one as a bitmap, just to visually ensure frames are correctly captured.

I'm currently capturing frames converting the backbuffer to a ID3D11Texture2D then mapping it.

Note : I tried the ReadSurfaceData approach in the render thread, but it didn't perform well at all regarding performances (FPS went down to 15 and I'd like to capture at 60 FPS), whereas the DirectX texture mapping from the backbuffer currently takes 1 to 3 milliseconds.

When debugging, I can see the D3D11_TEXTURE2D_DESC's format is DXGI_FORMAT_R10G10B10A2_UNORM, so red/green/blues are stored on 10 bits each, and alpha on 2 bits.

My questions :

• How to convert the texture's data (using the D3D11_MAPPED_SUBRESOURCE pData pointer) to a R8G8B8(A8), that is, 8 bit per color (a R8G8B8 without the alpha would also be fine for me there) ?
• Also, am I doing anything wrong about capturing the frame ?

What I've tried :

All the following code is executed in a callback function registered to OnBackBufferReadyToPresent (code below).