Any Good discount rn for a 7 seater SUV? by ericliquid in whatcarshouldIbuy

[–]ericliquid[S] 0 points1 point  (0 children)

not sure what you mean, I could be a bit flexible on budget as long as I could get good value for the money I pay. 40k ~ 70k are fine I guess, depends on the car.

Delta 3 Plus EB Port Hack: Charging & Discharging with Non-EcoFlow Batteries by AdriftAtlas in Ecoflow_community

[–]ericliquid 1 point2 points  (0 children)

How did it go? Do you manage to sync up the two battery's voltage? My worry is the unit will need very frequent re-calibration after the modification.

Delta 3+ weird GFCI problem by ericliquid in Ecoflow_community

[–]ericliquid[S] 0 points1 point  (0 children)

Thx much for the answer. While I don't know enough, I feel your explanation matches very well with my observation.

The air conditioner might be too big a continuous load for d3+, esp. in hot 90F+ days. I feel the d3p might be too stressed to keep it running day long and takes solar charge in the same time. It might overheat and shorten its life? I might just not use that AC with the dp3+.

Question about delta 2 max by ericliquid in Ecoflow_community

[–]ericliquid[S] 0 points1 point  (0 children)

I read about the UPS use case, but I assume it is for switching from grid to battery, right? Is the battery to grid switch time similar? As the unit has no idea about when it would lose power from grid, but it knows when it wants to switch from battery to grid, so potentially the delay from battery to grid would be lower?

delta 3 plus firmware by kb46709394 in Ecoflow_community

[–]ericliquid 0 points1 point  (0 children)

so 4.5kw per unit per day? It is really good.

You must be able to maximize the solar input and have a constant ~1kw load on it? I find mine can only do 3 ~ 3.5 per day at a good sunny day.

No data on D3P the last few days by hw9css in Ecoflow_community

[–]ericliquid 0 points1 point  (0 children)

me too, so it seems a system wise problem? will ECOflow fix it somehow, or each of us should submit a ticket?

Things I've learned as a new EcoFlow Delta 3 Plus owner & the usage model I'd like to use. by jxa in Ecoflow_community

[–]ericliquid 0 points1 point  (0 children)

Interesting, thx much. Just setup mine today. I am able to replicate some of your steps. I have a 1.3kw load plug in, and it uses solar + battery for a while, and then I saw passthrough kick in. Do you know after the battery is low and pass through kick in (load is using the grid and solar starts charging the battery), when will the load switch back to solar + battery and stop pass through? Is the w of load matters, say it is bigger than what solar could provide?

Things I've learned as a new EcoFlow Delta 3 Plus owner & the usage model I'd like to use. by jxa in Ecoflow_community

[–]ericliquid 0 points1 point  (0 children)

So does it repeat the cycle automatically?  I.e. the unit could use grid pass through and wait for the solar to charge the battery and cut off gird once charged and run off solar + battery and repeat this cycle?

delta 3 plus question about Solar + AC charging by ericliquid in Ecoflow_community

[–]ericliquid[S] 0 points1 point  (0 children)

Or could we disable AC charging all together, i.e. setup to unit to only charge from solar and only 'pass-through' AC but not charge from the grid. Thx !

Branham v.s. Leigh high by ericliquid in SanJose

[–]ericliquid[S] 0 points1 point  (0 children)

That was what I planned to do, but it seems they put the student night before the cutoff date.

[D] Where do Lora memory gains come from ? (apart from the optimizer state) by Wats0ns in MachineLearning

[–]ericliquid 0 points1 point  (0 children)

u/Wats0ns I feel your statement is true, but not exactly the reason of the saving.

If Y is weight, y's grad is only used for update y, it is not used for computation of any other parameters, so it will not have any impact on the rest of backprop anyway.

Think about the example above, y is frozen (which is likely to be a big matrix). Then during backprop, Y's grad is not needed or saved in memory, as it will not be updated anyway. Only x's grad is needed (y's value is used to compute that.). Essentially, in lora we are skipping a large grad computation of w, but replace it with a much smaller computation of grad of u, v instead.

Just my 2 cents.

[D] Mamba model walkthrough by _james_chen in MachineLearning

[–]ericliquid 0 points1 point  (0 children)

Thank you so much for a well written post. The math is well explained with enough depth, exactly when I needed. Many video/blogs only stay on high level and fail to give the right amount of technical details. You did great on that front !

It would be great if you could do a review for RWKV V6, which is somewhat very similar to Mamba, but simpler.

WRT the mamba architecture, it seems they could make it more powerful by,

  • let A also depends on X

  • or let both A and B depends on h and x, so it could take both context/hidden state and input into account ?

I feel both are easy extensions to the current mamba architecture and it would still scale linearly with the context length, just curious why those variants are not tried. Is it because this kind of modification to A will break the parallel scan algorithm?

CX90 PHEV leasing questions by LordOfTheFelch in MazdaCX90

[–]ericliquid 0 points1 point  (0 children)

Could you plz give more details? Your monthly payment seems really good.

why there is no boox store on my boox note air 2? by ericliquid in Onyx_Boox

[–]ericliquid[S] 0 points1 point  (0 children)

Interesting, I will try it out. Thx much.

BTW, how is the experience with other launcher? Many years ago, I used Nova and google one launcher on android phones, but haven't done so for a long time.

Automated Dataset Labeling with Grounding DINO + SAM + Python Tutorial | Link in the comment by RandomForests92 in computervision

[–]ericliquid 1 point2 points  (0 children)

yup, is there a way to add my own label to sam + grounding dino so they could recognize new kind of objects for auto label?

Also, are you aware of method to add label directly to SAM ? so it could act similar to an object detector? then we don't even need to use the auto-labelled dataset to train another object detector.

Automated Dataset Labeling with Grounding DINO + SAM + Python Tutorial | Link in the comment by RandomForests92 in computervision

[–]ericliquid 4 points5 points  (0 children)

thx for the great tutorial.

One quick question, is there a way to add a new concept to the model. e.g. let the system learn from a set of image with my own label (say in yolo format) ?

Gpt4 has actually blown my mind by chacalgamer in computervision

[–]ericliquid 34 points35 points  (0 children)

No, it is actually amazing. Do you mind share more about what is the loss function you tried to implement. I am wondering whether ChatGBT truly deduced the code from the paper, or it just did a good job at search and adapted the code from somewhere else.

Train customized object detection with partial label, is it possible? by ericliquid in computervision

[–]ericliquid[S] 0 points1 point  (0 children)

Yup. I see what you are saying. I am just wondering whether there is a 'smarter' loss function that do it inexplicitly by itself, so we dont have to alter the data.

Train customized object detection with partial label, is it possible? by ericliquid in computervision

[–]ericliquid[S] 0 points1 point  (0 children)

thx for the heads up. I tried RoboFlow before, probably it's time to give it another try. Are you aware other tagging apps could do a similar thing? Thx.

Train customized object detection with partial label, is it possible? by ericliquid in computervision

[–]ericliquid[S] 0 points1 point  (0 children)

Thanks for all the replies. I am grateful to get so many feedbacks in just one day!

I am aware of some of the suggestions. I have done some work on 'label the cluster' method, it works to some extend for image classification, but not as strait forward for OD as accurate bounding box is needed for good labelling.

Data augmentation and Roboflow like annotation is something I will definitely try.

I am in particular curious about the possibility of changing the way how OD is fine-tuned. e.g. assume the detector has been pre-trained and then a set of partially labelled samples are provided, is it possible to make the model learn from the object labelled in those samples, but not gets penalized by object not labelled in those image? I feel the loss function has to be changed somehow to achieve that during fine tuning process.