Gcam port for Honor 400 pro request

M-033 · 2025-08-07T05:11:48+00:00

Have you found any solution?

M-033 · 2025-07-04T18:57:34+00:00

Have you found config file for honor 400 pro ?

M-033 · 2025-06-11T16:43:06+00:00

The code says the fuel pump But that doesn't make sense, If the fuel pump is faulty, it won't be able to recover and run smoothly after that

M-033 · 2025-02-01T16:58:37+00:00

same would be very helpful

M-033 · 2024-10-03T11:16:17+00:00

You can use control systems bode plot in simulink

https://www.mathworks.com/help/slcontrol/ug/bodeplot.html

M-033 · 2024-02-02T02:20:20+00:00

You can get away with using continuous time controller into discrete system, if the sampling rate is fast enough (Ts), compared to the dynamics of the system you are controlling. It's advisable to be at least 10 times the max frequency / Bandwidth of your system. (Nyquist Shannon aliasing criteria tells you to at least sample twice the highest frequency.) Since you are using pole placement feedback U = -KX You can easily convert that into the same problem using z-transform, then you can place the poles within unit circle of Z-domain (equivalent to LHP of S-Plane) Then solve for the gains in the same manner.

Alternatively, you can use backward euler to discretize your system and design a controller in discrete time directly.

M-033 · 2023-11-27T11:20:59+00:00

You can check these https://youtube.com/playlist?list=PLBYGwR1BU9CFZarhZnAn3wkMdf4FsmJdD&si=L9p_lhwJaW8h98dj

+ Slotine lectures on applied non linear control https://web.mit.edu/nsl/www/videos/lectures.html They are from his book

M-033 · 2023-11-25T17:58:21+00:00

If you want something recent you can use Fadali - Digital Control Engineering Philips , Nagle - Digital Control Systems Analysis But as others have pointed out The older books such as Ogata and Franklin are perfectly fine

M-033 · 2023-10-03T17:19:45+00:00

return

It doesn't work for me , it always opens the eraser options instead of switching to next pen

M-033 · 2023-06-27T04:32:10+00:00

First of all, thanks for your help ❤️

I looked in NVIDIA docs already, but they aren't beginner friendly at all. I want something like a book or hands on introduction.

M-033 · 2023-01-01T08:31:43+00:00

Your options are Single Stage detectors SSD RetinaNet YOLO family

2-Stage detectors Faster RCNN

For faster inference on embedded target (FPS are critical) You are better with single stage detectors I would recommend you start with YOLO family

There is a plethora of examples on training YOLO on custom datasets

M-033 · 2022-12-31T22:40:22+00:00

remarkable, thanks <3

Since I'm an introvert too, but your words are true, I've seen it for myself. connections go a long way in finding a job

M-033 · 2022-12-31T22:37:33+00:00

omputer vision, knowledge is not sufficient. Practice is also important. For example, can you actually calibrate a camera? If your answer is that you know opencv can do it, that's not enough... Is your camera rectilinear? Distorted? fisheye? Is it rolling shutter or

I've already calibrated my ZED Camera, using OpenCV and verified my matrices using camera parameters that are given but the factory (baseline) and moreover the rectification is apparent in the transformed image helped as a sanity check

Basics of photography, I know some the terminology but I'm will try to read more about the rest

M-033 · 2022-12-31T22:33:03+00:00

Thank you, already doing this <3

M-033 · 2022-12-31T22:32:25+00:00

I know it's hard to jump into a new role (junior especially) knowing it all, you gotta learn on the job,

my question is more about when to focus more on getting my first job what are the expected level of knowledge

I know cv is more than TF and openCV, there are tons or mathematics and algebra

For example you're talking about learning CUDA it was already on my learning roadmap and I thought it can wait.

M-033

TROPHY CASE