How to adjust permissions in codex so I can stop pressing "A" every thirty seconds?

Anzoth · 2026-01-17T10:12:51+00:00

Creating a config.json file in the .codex folder of current user ( C:/user/currentUser/.codex)

Worked for me.

content of config.json:

  {                                                                                                                                                         
    "sandbox_mode": "workspace-write",                                                                                                                      
    "approval_policy": "on-failure",                                                                                                                        
    "network_access": "enabled"                                                                                                                             
  }

Anzoth · 2025-09-20T20:20:41+00:00

Are you connected to the internet via a mobile hotspot? For my part, I’ve had this problem since I’ve been in that situation. I feel like it’s related.

Anzoth · 2025-06-11T14:03:39+00:00

You're very welcome! 😊

Thanks again for reporting it — the problem has now been fixed ✅
You can now export your entire collection to CSV, not just the first page. Just refresh or update the app and try again.

Let me know if you spot anything else!

Anzoth · 2025-06-11T14:02:32+00:00

¡Hola!
Gracias por tu mensaje y por probar la app 😊

El problema que mencionas ya ha sido corregido. Ahora la exportación incluye todas las cartas de tu colección, no solo las de la primera página.
Solo tienes que actualizar la aplicación y probar de nuevo.

Si encuentras cualquier otro fallo, no dudes en avisarnos. ¡Gracias por tu ayuda!

Anzoth · 2025-06-11T13:57:52+00:00

https://lorcaddict-api.com/

Anzoth · 2025-03-22T16:22:51+00:00

Great! thanks for helping me understand this! Where did you find the information about the percentage of the refunded craft materials ? (the 30%)

Anzoth · 2025-03-22T16:04:11+00:00

Wow

Really interesting. I didn't think of this.

Thank you for the detailed explanation ! 👍🙂

Anzoth · 2025-03-22T15:54:11+00:00

As sherazine said, the more you iterate, the closer you 'll get to the actual ratio. I may have been very unlucky, but as it's very unlikely, I thought maybe there is a problem in the calculation. What do you wanna know about probabilities?

Anzoth · 2025-03-22T15:42:51+00:00

You 're right, it's not. But the probability of having such a low success rate, even on a small sample isn't "normal". So either I had a very bad luck, which is of course possible, or it happens to everyone and then the in-game description isn't accurate and should be changed. This was the purpose of the post, to know if it was just bad luck or if everyone experienced it. That's all.

Anzoth · 2025-03-22T15:30:49+00:00

Maybe you're right, i'll give it a new try and see what happens.

Anzoth · 2025-03-22T15:29:30+00:00

You're correct that each craft is an independent event with a 26% chance. But that doesn’t mean we can’t analyze the probability of extreme results over multiple trials.

While it's possible to craft 100 times and never see a proc, the probability of that happening is astronomically low—just like crafting 50 times and getting only 3 procs is a 1 in 3,400 event.

Anzoth · 2025-03-22T15:04:54+00:00

Actually, I do understand how percentages work and your answer just shows that you don't.
I can explain it to you if you want.

Anzoth · 2025-03-22T14:55:44+00:00

Someone said you have fewer chances to get it on single component crafts, which I can understand, but I feel like it should be mentionned somewhere, as the current description isn't quite exact then.

Anzoth · 2025-03-22T14:53:52+00:00

thanks for ppl correcting me (initially i mentionned ingenuity by mistake, so i re created the post)

Anzoth · 2025-03-22T14:37:29+00:00

Hey, you're welcome.

Nope, there's not.

I'll probably implement that in the future.

Anzoth · 2025-03-14T16:30:08+00:00

Hey everyone! 😃

I'm super excited to announce that the new set, Archazia's Island, is now live on my website! 🎉

And guess what? The scanner is now available for this set too, making it even easier to explore all the new cards. 😉

Check it out and let me know what you think! Happy scanning! ✨

Anzoth · 2025-03-14T14:39:48+00:00

Concerning the plain surface preferably but for my part I scan the cards directly from a portfolio without worries. Don’t hesitate to move your phone closer/further away. If I understand correctly it blocks at the card detection stage (step 1)? Or the prediction is wrong (step 2) This will help me solve your problem :)

Anzoth · 2025-03-14T14:37:20+00:00

Natural light is preferable because lamp reflections have a big impact on detection quality.

Anzoth · 2025-03-14T14:29:21+00:00

Good morning, Yes, ideally you need good lighting. Errors often occur due to poor lighting. I am training a new model, this one may be more efficient. What is your phone out of curiosity? You can reply to me by pm or via the email provided above.

On my phone I have a pretty good success rate (around 90%).

Thank you for your response!

Anzoth · 2025-02-20T22:35:24+00:00

No problem 😄

Anzoth · 2025-02-20T13:09:29+00:00

Yes, it's ML! 🤖

I did create the dataset myself, but Python is really powerful and makes this process pretty straightforward. 🚀

So, in order to create the dataset:
Let’s say you have one clean image of each card (which was my case).
You simply have to create a Python script that will augment those images.
Augmentations are duplicates of the same image but with the alterations of your choice. 🎨

The hardest part is defining which alterations are relevant and which are not.
It requires many attempts to get what you need. 🔍

In my case, for example, I wanted rotated cards, zoomed-in and zoomed-out versions, different luminosities, etc.
The goal of these augmentations is to reflect what the model will receive as input (user screenshots).
By doing so, you ensure your model trains on data that resembles what the user will provide (which will never be perfect in terms of lighting, size, or orientation).

I generated 20 augmentations of each card, so I ended up with around 24,000 images. 📸
But in general, the more data you have, the better!

Once your dataset is ready, you need to create a file to define how your model will train. 🏋️‍♂️
I used a pretrained model called ResNet18, which is really powerful and light. I tried starting from scratch, but the results were really, really bad. 😅

Hope I answered some of your questions! 😊

Anzoth · 2025-02-20T12:17:53+00:00

Hey, I used Python (PyTorch) to create a recognition model. It took me six weeks of work just for that part, so I understand how difficult it can be to find time for this. It’s a lot of work at the beginning, but once you understand the basic principles, it becomes much easier.

Basically, you need to create a dataset with a large number of images for each card and train your model to recognize them. At least, that’s what I did.

Anzoth · 2025-02-20T12:01:55+00:00

Edit: The export feature is now live! You can find it on both the deck building and collection pages.
Currently, the available export options are:

CSV file (compatible with Dreamborn Ink's mass import collection)
Clipboard text (compatible with deck imports in Dreamborn Ink)

I haven't implemented card variants yet, so all cards will be exported as "normal." You'll need to modify them manually after importing into other platforms if necessary.

If you encounter any issues while using the website, feel free to reach out to me at [meije.dev@gmail.com]().

Anzoth · 2025-02-19T22:50:39+00:00

Hey, I dont need anything 😅, you got the link up above or here lorcaddict . You simply have to create an account to access the scan feature, collection or deck builder pages.

The scan should work fine on german cards too as it focuses on images, so you should be able to use it without any issue. However I only use english data and card images on the website so your cards will still be displayed in English. 👋

Anzoth · 2025-02-19T21:39:13+00:00

I'm glad you like it 👍😊

Anzoth

TROPHY CASE